diff --git "a/nohup.out" "b/nohup.out"
new file mode 100644--- /dev/null
+++ "b/nohup.out"
@@ -0,0 +1,2232 @@
+12/12/2024 14:55:29 - INFO - __main__ - Distributed environment: NO
+Num processes: 1
+Process index: 0
+Local process index: 0
+Device: cuda
+
+Mixed precision type: fp16
+
+{'force_upcast', 'scaling_factor'} was not found in config. Values will be initialized to default values.
+12/12/2024 14:55:33 - INFO - src.models.unet_2d_condition - loaded temporal unet's pretrained weights from ckpts/sd-image-variations-diffusers/unet ...
+{'encoder_hid_dim', 'resnet_out_scale_factor', 'time_embedding_act_fn', 'upcast_attention', 'addition_embed_type_num_heads', 'cross_attention_norm', 'reverse_transformer_layers_per_block', 'conv_in_kernel', 'addition_time_embed_dim', 'resnet_skip_time_act', 'time_embedding_type', 'num_attention_heads', 'attention_type', 'projection_class_embeddings_input_dim', 'encoder_hid_dim_type', 'mid_block_only_cross_attention', 'transformer_layers_per_block', 'addition_embed_type', 'dropout', 'class_embeddings_concat', 'resnet_time_scale_shift', 'time_cond_proj_dim', 'time_embedding_dim', 'timestep_post_act', 'conv_out_kernel', 'class_embed_type'} was not found in config. Values will be initialized to default values.
+12/12/2024 14:55:42 - INFO - src.models.unet_2d_condition - Loaded 0.0M-parameter motion module
+12/12/2024 14:55:42 - INFO - src.models.unet_3d - loaded temporal unet's pretrained weights from ckpts/sd-image-variations-diffusers/unet ...
+{'resnet_time_scale_shift', 'class_embed_type', 'upcast_attention'} was not found in config. Values will be initialized to default values.
+12/12/2024 14:55:52 - INFO - src.models.unet_3d - Load motion module params from ckpts/MotionModule/mm_sd_v15_v2.ckpt
+12/12/2024 14:55:55 - INFO - src.models.unet_3d - Loaded 453.20928M-parameter motion module
+12/12/2024 14:56:01 - INFO - __main__ - Total trainable params 546
+12/12/2024 14:56:01 - INFO - __main__ - ***** Running training *****
+12/12/2024 14:56:01 - INFO - __main__ -   Num examples = 10
+12/12/2024 14:56:01 - INFO - __main__ -   Num Epochs = 10000
+12/12/2024 14:56:01 - INFO - __main__ -   Instantaneous batch size per device = 4
+12/12/2024 14:56:01 - INFO - __main__ -   Total train batch size (w. parallel, distributed & accumulation) = 4
+12/12/2024 14:56:01 - INFO - __main__ -   Gradient Accumulation steps = 1
+12/12/2024 14:56:01 - INFO - __main__ -   Total optimization steps = 30000
+
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+12/12/2024 14:56:11 - INFO - __main__ - removing checkpoints: motion_module-159.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
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+12/12/2024 14:56:20 - INFO - __main__ - removing checkpoints: motion_module-3.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
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+12/12/2024 14:56:30 - INFO - __main__ - removing checkpoints: motion_module-6.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
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+12/12/2024 14:56:40 - INFO - __main__ - removing checkpoints: motion_module-9.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 13/30000 [00:46<32:46:31,  3.93s/it, lr=1e-5, step_loss=0.217, td=0.21s]
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+12/12/2024 14:56:50 - INFO - __main__ - removing checkpoints: motion_module-12.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
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+12/12/2024 14:57:00 - INFO - __main__ - removing checkpoints: motion_module-15.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
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+12/12/2024 14:57:10 - INFO - __main__ - removing checkpoints: motion_module-18.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 22/30000 [01:15<33:10:18,  3.98s/it, lr=1e-5, step_loss=0.074, td=0.18s]
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+12/12/2024 14:57:20 - INFO - __main__ - removing checkpoints: motion_module-21.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 25/30000 [01:25<32:48:16,  3.94s/it, lr=1e-5, step_loss=0.0808, td=0.18s]
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+12/12/2024 14:57:29 - INFO - __main__ - removing checkpoints: motion_module-24.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   0%|          | 28/30000 [01:35<32:57:45,  3.96s/it, lr=1e-5, step_loss=0.0559, td=0.22s]
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Steps:   0%|          | 30/30000 [01:38<21:59:39,  2.64s/it, lr=1e-5, step_loss=0.0675, td=0.18s]12/12/2024 14:57:39 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 14:57:39 - INFO - __main__ - removing checkpoints: motion_module-27.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 31/30000 [01:45<32:18:35,  3.88s/it, lr=1e-5, step_loss=0.0675, td=0.18s]
Steps:   0%|          | 31/30000 [01:45<32:18:35,  3.88s/it, lr=1e-5, step_loss=0.083, td=3.45s] 
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Steps:   0%|          | 33/30000 [01:47<21:41:11,  2.61s/it, lr=1e-5, step_loss=0.0982, td=0.18s]12/12/2024 14:57:49 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 14:57:49 - INFO - __main__ - removing checkpoints: motion_module-30.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 34/30000 [01:54<32:10:53,  3.87s/it, lr=1e-5, step_loss=0.0982, td=0.18s]
Steps:   0%|          | 34/30000 [01:54<32:10:53,  3.87s/it, lr=1e-5, step_loss=0.117, td=3.62s] 
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Steps:   0%|          | 36/30000 [01:57<21:35:59,  2.60s/it, lr=1e-5, step_loss=0.097, td=0.17s] 12/12/2024 14:57:59 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 14:57:59 - INFO - __main__ - removing checkpoints: motion_module-33.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 37/30000 [02:04<32:25:11,  3.90s/it, lr=1e-5, step_loss=0.097, td=0.17s]
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Steps:   0%|          | 39/30000 [02:07<21:43:25,  2.61s/it, lr=1e-5, step_loss=0.0727, td=0.17s]12/12/2024 14:58:08 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 14:58:08 - INFO - __main__ - removing checkpoints: motion_module-36.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 40/30000 [02:14<33:08:50,  3.98s/it, lr=1e-5, step_loss=0.0727, td=0.17s]
Steps:   0%|          | 40/30000 [02:14<33:08:50,  3.98s/it, lr=1e-5, step_loss=0.0903, td=3.76s]
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Steps:   0%|          | 42/30000 [02:17<22:13:14,  2.67s/it, lr=1e-5, step_loss=0.0705, td=0.09s]
Steps:   0%|          | 42/30000 [02:17<22:13:14,  2.67s/it, lr=1e-5, step_loss=0.107, td=0.23s] 12/12/2024 14:58:19 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 14:58:19 - INFO - __main__ - removing checkpoints: motion_module-39.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 43/30000 [02:24<32:41:13,  3.93s/it, lr=1e-5, step_loss=0.107, td=0.23s]
Steps:   0%|          | 43/30000 [02:24<32:41:13,  3.93s/it, lr=1e-5, step_loss=0.0703, td=3.56s]
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Steps:   0%|          | 44/30000 [02:25<26:59:18,  3.24s/it, lr=1e-5, step_loss=0.113, td=0.09s] 
Steps:   0%|          | 45/30000 [02:27<21:41:14,  2.61s/it, lr=1e-5, step_loss=0.113, td=0.09s]
Steps:   0%|          | 45/30000 [02:27<21:41:14,  2.61s/it, lr=1e-5, step_loss=0.0878, td=0.18s]12/12/2024 14:58:28 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 14:58:28 - INFO - __main__ - removing checkpoints: motion_module-42.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 46/30000 [02:34<32:24:03,  3.89s/it, lr=1e-5, step_loss=0.0878, td=0.18s]
Steps:   0%|          | 46/30000 [02:34<32:24:03,  3.89s/it, lr=1e-5, step_loss=0.0881, td=3.56s]
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Steps:   0%|          | 48/30000 [02:36<21:32:07,  2.59s/it, lr=1e-5, step_loss=0.0806, td=0.17s]12/12/2024 14:58:38 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 14:58:38 - INFO - __main__ - removing checkpoints: motion_module-45.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
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Steps:   0%|          | 51/30000 [02:46<21:28:16,  2.58s/it, lr=1e-5, step_loss=0.102, td=0.17s] 12/12/2024 14:58:47 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 14:58:47 - INFO - __main__ - removing checkpoints: motion_module-48.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 52/30000 [02:53<32:51:06,  3.95s/it, lr=1e-5, step_loss=0.102, td=0.17s]
Steps:   0%|          | 52/30000 [02:53<32:51:06,  3.95s/it, lr=1e-5, step_loss=0.0925, td=3.82s]
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Steps:   0%|          | 53/30000 [02:55<27:22:03,  3.29s/it, lr=1e-5, step_loss=0.12, td=0.09s]  
Steps:   0%|          | 54/30000 [02:56<21:55:29,  2.64s/it, lr=1e-5, step_loss=0.12, td=0.09s]
Steps:   0%|          | 54/30000 [02:56<21:55:29,  2.64s/it, lr=1e-5, step_loss=0.0582, td=0.17s]12/12/2024 14:58:57 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 14:58:57 - INFO - __main__ - removing checkpoints: motion_module-51.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 55/30000 [03:03<32:16:22,  3.88s/it, lr=1e-5, step_loss=0.0582, td=0.17s]
Steps:   0%|          | 55/30000 [03:03<32:16:22,  3.88s/it, lr=1e-5, step_loss=0.0758, td=3.63s]
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Steps:   0%|          | 56/30000 [03:04<26:57:32,  3.24s/it, lr=1e-5, step_loss=0.107, td=0.09s] 
Steps:   0%|          | 57/30000 [03:06<21:39:37,  2.60s/it, lr=1e-5, step_loss=0.107, td=0.09s]
Steps:   0%|          | 57/30000 [03:06<21:39:37,  2.60s/it, lr=1e-5, step_loss=0.104, td=0.18s]12/12/2024 14:59:07 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 14:59:07 - INFO - __main__ - removing checkpoints: motion_module-54.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 58/30000 [03:13<32:54:41,  3.96s/it, lr=1e-5, step_loss=0.104, td=0.18s]
Steps:   0%|          | 58/30000 [03:13<32:54:41,  3.96s/it, lr=1e-5, step_loss=0.0732, td=3.76s]
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Steps:   0%|          | 59/30000 [03:14<27:25:42,  3.30s/it, lr=1e-5, step_loss=0.11, td=0.09s]  
Steps:   0%|          | 60/30000 [03:16<22:03:06,  2.65s/it, lr=1e-5, step_loss=0.11, td=0.09s]
Steps:   0%|          | 60/30000 [03:16<22:03:06,  2.65s/it, lr=1e-5, step_loss=0.0899, td=0.21s]12/12/2024 14:59:17 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 14:59:17 - INFO - __main__ - removing checkpoints: motion_module-57.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 61/30000 [03:22<31:56:35,  3.84s/it, lr=1e-5, step_loss=0.0899, td=0.21s]
Steps:   0%|          | 61/30000 [03:22<31:56:35,  3.84s/it, lr=1e-5, step_loss=0.0891, td=3.46s]
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Steps:   0%|          | 62/30000 [03:24<26:44:44,  3.22s/it, lr=1e-5, step_loss=0.0901, td=0.09s]
Steps:   0%|          | 63/30000 [03:25<21:34:11,  2.59s/it, lr=1e-5, step_loss=0.0901, td=0.09s]
Steps:   0%|          | 63/30000 [03:25<21:34:11,  2.59s/it, lr=1e-5, step_loss=0.058, td=0.20s] 12/12/2024 14:59:27 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 14:59:27 - INFO - __main__ - removing checkpoints: motion_module-60.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 64/30000 [03:32<32:02:13,  3.85s/it, lr=1e-5, step_loss=0.058, td=0.20s]
Steps:   0%|          | 64/30000 [03:32<32:02:13,  3.85s/it, lr=1e-5, step_loss=0.11, td=3.63s] 
Steps:   0%|          | 65/30000 [03:34<26:47:17,  3.22s/it, lr=1e-5, step_loss=0.11, td=3.63s]
Steps:   0%|          | 65/30000 [03:34<26:47:17,  3.22s/it, lr=1e-5, step_loss=0.0749, td=0.09s]
Steps:   0%|          | 66/30000 [03:35<21:34:43,  2.60s/it, lr=1e-5, step_loss=0.0749, td=0.09s]
Steps:   0%|          | 66/30000 [03:35<21:34:43,  2.60s/it, lr=1e-5, step_loss=0.0998, td=0.19s]12/12/2024 14:59:36 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 14:59:36 - INFO - __main__ - removing checkpoints: motion_module-63.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 67/30000 [03:42<32:53:18,  3.96s/it, lr=1e-5, step_loss=0.0998, td=0.19s]
Steps:   0%|          | 67/30000 [03:42<32:53:18,  3.96s/it, lr=1e-5, step_loss=0.0825, td=3.87s]
Steps:   0%|          | 68/30000 [03:44<27:29:11,  3.31s/it, lr=1e-5, step_loss=0.0825, td=3.87s]
Steps:   0%|          | 68/30000 [03:44<27:29:11,  3.31s/it, lr=1e-5, step_loss=0.0893, td=0.12s]
Steps:   0%|          | 69/30000 [03:45<22:02:41,  2.65s/it, lr=1e-5, step_loss=0.0893, td=0.12s]
Steps:   0%|          | 69/30000 [03:45<22:02:41,  2.65s/it, lr=1e-5, step_loss=0.0728, td=0.19s]12/12/2024 14:59:46 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 14:59:46 - INFO - __main__ - removing checkpoints: motion_module-66.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 70/30000 [03:52<32:32:13,  3.91s/it, lr=1e-5, step_loss=0.0728, td=0.19s]
Steps:   0%|          | 70/30000 [03:52<32:32:13,  3.91s/it, lr=1e-5, step_loss=0.0913, td=3.56s]
Steps:   0%|          | 71/30000 [03:53<27:08:51,  3.27s/it, lr=1e-5, step_loss=0.0913, td=3.56s]
Steps:   0%|          | 71/30000 [03:53<27:08:51,  3.27s/it, lr=1e-5, step_loss=0.0649, td=0.09s]
Steps:   0%|          | 72/30000 [03:55<21:47:54,  2.62s/it, lr=1e-5, step_loss=0.0649, td=0.09s]
Steps:   0%|          | 72/30000 [03:55<21:47:54,  2.62s/it, lr=1e-5, step_loss=0.0925, td=0.18s]12/12/2024 14:59:56 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 14:59:56 - INFO - __main__ - removing checkpoints: motion_module-69.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 73/30000 [04:01<31:58:13,  3.85s/it, lr=1e-5, step_loss=0.0925, td=0.18s]
Steps:   0%|          | 73/30000 [04:01<31:58:13,  3.85s/it, lr=1e-5, step_loss=0.0914, td=3.53s]
Steps:   0%|          | 74/30000 [04:03<26:44:18,  3.22s/it, lr=1e-5, step_loss=0.0914, td=3.53s]
Steps:   0%|          | 74/30000 [04:03<26:44:18,  3.22s/it, lr=1e-5, step_loss=0.103, td=0.09s] 
Steps:   0%|          | 75/30000 [04:04<21:31:26,  2.59s/it, lr=1e-5, step_loss=0.103, td=0.09s]
Steps:   0%|          | 75/30000 [04:04<21:31:26,  2.59s/it, lr=1e-5, step_loss=0.0433, td=0.18s]12/12/2024 15:00:06 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:00:06 - INFO - __main__ - removing checkpoints: motion_module-72.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 76/30000 [04:11<33:12:04,  3.99s/it, lr=1e-5, step_loss=0.0433, td=0.18s]
Steps:   0%|          | 76/30000 [04:11<33:12:04,  3.99s/it, lr=1e-5, step_loss=0.0895, td=3.86s]
Steps:   0%|          | 77/30000 [04:13<27:38:28,  3.33s/it, lr=1e-5, step_loss=0.0895, td=3.86s]
Steps:   0%|          | 77/30000 [04:13<27:38:28,  3.33s/it, lr=1e-5, step_loss=0.0904, td=0.10s]
Steps:   0%|          | 78/30000 [04:14<22:09:21,  2.67s/it, lr=1e-5, step_loss=0.0904, td=0.10s]
Steps:   0%|          | 78/30000 [04:14<22:09:21,  2.67s/it, lr=1e-5, step_loss=0.0707, td=0.18s]12/12/2024 15:00:16 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:00:16 - INFO - __main__ - removing checkpoints: motion_module-75.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 79/30000 [04:21<32:47:41,  3.95s/it, lr=1e-5, step_loss=0.0707, td=0.18s]
Steps:   0%|          | 79/30000 [04:21<32:47:41,  3.95s/it, lr=1e-5, step_loss=0.0825, td=3.74s]
Steps:   0%|          | 80/30000 [04:23<27:20:39,  3.29s/it, lr=1e-5, step_loss=0.0825, td=3.74s]
Steps:   0%|          | 80/30000 [04:23<27:20:39,  3.29s/it, lr=1e-5, step_loss=0.0612, td=0.09s]
Steps:   0%|          | 81/30000 [04:24<21:56:20,  2.64s/it, lr=1e-5, step_loss=0.0612, td=0.09s]
Steps:   0%|          | 81/30000 [04:24<21:56:20,  2.64s/it, lr=1e-5, step_loss=0.142, td=0.18s] 12/12/2024 15:00:26 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:00:26 - INFO - __main__ - removing checkpoints: motion_module-78.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 82/30000 [04:31<33:31:51,  4.03s/it, lr=1e-5, step_loss=0.142, td=0.18s]
Steps:   0%|          | 82/30000 [04:31<33:31:51,  4.03s/it, lr=1e-5, step_loss=0.0914, td=3.93s]
Steps:   0%|          | 83/30000 [04:33<27:49:39,  3.35s/it, lr=1e-5, step_loss=0.0914, td=3.93s]
Steps:   0%|          | 83/30000 [04:33<27:49:39,  3.35s/it, lr=1e-5, step_loss=0.0721, td=0.08s]
Steps:   0%|          | 84/30000 [04:34<22:16:50,  2.68s/it, lr=1e-5, step_loss=0.0721, td=0.08s]
Steps:   0%|          | 84/30000 [04:34<22:16:50,  2.68s/it, lr=1e-5, step_loss=0.0561, td=0.18s]12/12/2024 15:00:36 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:00:36 - INFO - __main__ - removing checkpoints: motion_module-81.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 85/30000 [04:41<32:43:24,  3.94s/it, lr=1e-5, step_loss=0.0561, td=0.18s]
Steps:   0%|          | 85/30000 [04:41<32:43:24,  3.94s/it, lr=1e-5, step_loss=0.0968, td=3.65s]
Steps:   0%|          | 86/30000 [04:43<27:16:51,  3.28s/it, lr=1e-5, step_loss=0.0968, td=3.65s]
Steps:   0%|          | 86/30000 [04:43<27:16:51,  3.28s/it, lr=1e-5, step_loss=0.0772, td=0.08s]
Steps:   0%|          | 87/30000 [04:44<21:53:00,  2.63s/it, lr=1e-5, step_loss=0.0772, td=0.08s]
Steps:   0%|          | 87/30000 [04:44<21:53:00,  2.63s/it, lr=1e-5, step_loss=0.0668, td=0.18s]12/12/2024 15:00:46 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:00:46 - INFO - __main__ - removing checkpoints: motion_module-84.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 88/30000 [04:51<32:52:32,  3.96s/it, lr=1e-5, step_loss=0.0668, td=0.18s]
Steps:   0%|          | 88/30000 [04:51<32:52:32,  3.96s/it, lr=1e-5, step_loss=0.0614, td=3.77s]
Steps:   0%|          | 89/30000 [04:53<27:22:10,  3.29s/it, lr=1e-5, step_loss=0.0614, td=3.77s]
Steps:   0%|          | 89/30000 [04:53<27:22:10,  3.29s/it, lr=1e-5, step_loss=0.106, td=0.09s] 
Steps:   0%|          | 90/30000 [04:54<21:45:35,  2.62s/it, lr=1e-5, step_loss=0.106, td=0.09s]
Steps:   0%|          | 90/30000 [04:54<21:45:35,  2.62s/it, lr=1e-5, step_loss=0.0631, td=0.18s]12/12/2024 15:00:55 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:00:55 - INFO - __main__ - removing checkpoints: motion_module-87.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   0%|          | 91/30000 [05:01<32:40:26,  3.93s/it, lr=1e-5, step_loss=0.0631, td=0.18s]
Steps:   0%|          | 91/30000 [05:01<32:40:26,  3.93s/it, lr=1e-5, step_loss=0.0903, td=3.82s]
Steps:   0%|          | 92/30000 [05:03<27:15:40,  3.28s/it, lr=1e-5, step_loss=0.0903, td=3.82s]
Steps:   0%|          | 92/30000 [05:03<27:15:40,  3.28s/it, lr=1e-5, step_loss=0.0658, td=0.09s]
Steps:   0%|          | 93/30000 [05:04<21:59:31,  2.65s/it, lr=1e-5, step_loss=0.0658, td=0.09s]
Steps:   0%|          | 93/30000 [05:04<21:59:31,  2.65s/it, lr=1e-5, step_loss=0.0463, td=0.22s]12/12/2024 15:01:05 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:01:05 - INFO - __main__ - removing checkpoints: motion_module-90.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 94/30000 [05:11<32:51:10,  3.95s/it, lr=1e-5, step_loss=0.0463, td=0.22s]
Steps:   0%|          | 94/30000 [05:11<32:51:10,  3.95s/it, lr=1e-5, step_loss=0.0839, td=3.67s]
Steps:   0%|          | 95/30000 [05:12<27:21:21,  3.29s/it, lr=1e-5, step_loss=0.0839, td=3.67s]
Steps:   0%|          | 95/30000 [05:12<27:21:21,  3.29s/it, lr=1e-5, step_loss=0.07, td=0.08s]  
Steps:   0%|          | 96/30000 [05:14<21:44:59,  2.62s/it, lr=1e-5, step_loss=0.07, td=0.08s]
Steps:   0%|          | 96/30000 [05:14<21:44:59,  2.62s/it, lr=1e-5, step_loss=0.115, td=0.18s]12/12/2024 15:01:15 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:01:15 - INFO - __main__ - removing checkpoints: motion_module-93.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   0%|          | 97/30000 [05:20<32:25:55,  3.90s/it, lr=1e-5, step_loss=0.115, td=0.18s]
Steps:   0%|          | 97/30000 [05:20<32:25:55,  3.90s/it, lr=1e-5, step_loss=0.0626, td=3.73s]
Steps:   0%|          | 98/30000 [05:22<27:04:44,  3.26s/it, lr=1e-5, step_loss=0.0626, td=3.73s]
Steps:   0%|          | 98/30000 [05:22<27:04:44,  3.26s/it, lr=1e-5, step_loss=0.0801, td=0.09s]
Steps:   0%|          | 99/30000 [05:23<21:44:11,  2.62s/it, lr=1e-5, step_loss=0.0801, td=0.09s]
Steps:   0%|          | 99/30000 [05:23<21:44:11,  2.62s/it, lr=1e-5, step_loss=0.0905, td=0.17s]12/12/2024 15:01:25 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:01:25 - INFO - __main__ - removing checkpoints: motion_module-96.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 100/30000 [05:31<33:17:13,  4.01s/it, lr=1e-5, step_loss=0.0905, td=0.17s]
Steps:   0%|          | 100/30000 [05:31<33:17:13,  4.01s/it, lr=1e-5, step_loss=0.0784, td=3.96s]
Steps:   0%|          | 101/30000 [05:32<27:39:04,  3.33s/it, lr=1e-5, step_loss=0.0784, td=3.96s]
Steps:   0%|          | 101/30000 [05:32<27:39:04,  3.33s/it, lr=1e-5, step_loss=0.0862, td=0.08s]
Steps:   0%|          | 102/30000 [05:33<22:08:43,  2.67s/it, lr=1e-5, step_loss=0.0862, td=0.08s]
Steps:   0%|          | 102/30000 [05:33<22:08:43,  2.67s/it, lr=1e-5, step_loss=0.0679, td=0.18s]12/12/2024 15:01:35 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:01:35 - INFO - __main__ - removing checkpoints: motion_module-99.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 103/30000 [05:40<32:20:00,  3.89s/it, lr=1e-5, step_loss=0.0679, td=0.18s]
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Steps:   0%|          | 105/30000 [05:43<21:46:37,  2.62s/it, lr=1e-5, step_loss=0.124, td=0.21s] 12/12/2024 15:01:45 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:01:45 - INFO - __main__ - removing checkpoints: motion_module-102.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 106/30000 [05:50<32:15:55,  3.89s/it, lr=1e-5, step_loss=0.124, td=0.21s]
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+12/12/2024 15:01:54 - INFO - __main__ - removing checkpoints: motion_module-105.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 109/30000 [06:00<32:48:51,  3.95s/it, lr=1e-5, step_loss=0.0595, td=0.20s]
Steps:   0%|          | 109/30000 [06:00<32:48:51,  3.95s/it, lr=1e-5, step_loss=0.046, td=3.84s] 
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Steps:   0%|          | 110/30000 [06:02<27:21:27,  3.30s/it, lr=1e-5, step_loss=0.0727, td=0.10s]
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+12/12/2024 15:02:04 - INFO - __main__ - removing checkpoints: motion_module-108.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 112/30000 [06:10<32:24:27,  3.90s/it, lr=1e-5, step_loss=0.0701, td=0.22s]
Steps:   0%|          | 112/30000 [06:10<32:24:27,  3.90s/it, lr=1e-5, step_loss=0.0687, td=3.52s]
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+12/12/2024 15:02:14 - INFO - __main__ - removing checkpoints: motion_module-111.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 115/30000 [06:20<33:01:56,  3.98s/it, lr=1e-5, step_loss=0.0781, td=0.23s]
Steps:   0%|          | 115/30000 [06:20<33:01:56,  3.98s/it, lr=1e-5, step_loss=0.0611, td=3.75s]
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Steps:   0%|          | 116/30000 [06:21<27:28:08,  3.31s/it, lr=1e-5, step_loss=0.0797, td=0.08s]
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Steps:   0%|          | 117/30000 [06:23<21:59:51,  2.65s/it, lr=1e-5, step_loss=0.0669, td=0.17s]12/12/2024 15:02:24 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:02:24 - INFO - __main__ - removing checkpoints: motion_module-114.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 118/30000 [06:30<33:00:06,  3.98s/it, lr=1e-5, step_loss=0.0669, td=0.17s]
Steps:   0%|          | 118/30000 [06:30<33:00:06,  3.98s/it, lr=1e-5, step_loss=0.0806, td=3.80s]
Steps:   0%|          | 119/30000 [06:31<27:10:47,  3.27s/it, lr=1e-5, step_loss=0.0806, td=3.80s]
Steps:   0%|          | 119/30000 [06:31<27:10:47,  3.27s/it, lr=1e-5, step_loss=0.0711, td=0.08s]
Steps:   0%|          | 120/30000 [06:32<21:48:22,  2.63s/it, lr=1e-5, step_loss=0.0711, td=0.08s]
Steps:   0%|          | 120/30000 [06:32<21:48:22,  2.63s/it, lr=1e-5, step_loss=0.107, td=0.17s] 12/12/2024 15:02:34 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:02:34 - INFO - __main__ - removing checkpoints: motion_module-117.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 121/30000 [06:39<31:40:30,  3.82s/it, lr=1e-5, step_loss=0.107, td=0.17s]
Steps:   0%|          | 121/30000 [06:39<31:40:30,  3.82s/it, lr=1e-5, step_loss=0.0768, td=3.42s]
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Steps:   0%|          | 122/30000 [06:41<26:31:06,  3.20s/it, lr=1e-5, step_loss=0.069, td=0.08s] 
Steps:   0%|          | 123/30000 [06:42<21:20:09,  2.57s/it, lr=1e-5, step_loss=0.069, td=0.08s]
Steps:   0%|          | 123/30000 [06:42<21:20:09,  2.57s/it, lr=1e-5, step_loss=0.106, td=0.17s]12/12/2024 15:02:43 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:02:43 - INFO - __main__ - removing checkpoints: motion_module-120.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 124/30000 [06:49<31:53:27,  3.84s/it, lr=1e-5, step_loss=0.106, td=0.17s]
Steps:   0%|          | 124/30000 [06:49<31:53:27,  3.84s/it, lr=1e-5, step_loss=0.0623, td=3.51s]
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Steps:   0%|          | 125/30000 [06:50<26:41:07,  3.22s/it, lr=1e-5, step_loss=0.0793, td=0.09s]
Steps:   0%|          | 126/30000 [06:51<21:15:16,  2.56s/it, lr=1e-5, step_loss=0.0793, td=0.09s]
Steps:   0%|          | 126/30000 [06:51<21:15:16,  2.56s/it, lr=1e-5, step_loss=0.105, td=0.18s] 12/12/2024 15:02:53 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:02:53 - INFO - __main__ - removing checkpoints: motion_module-123.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   0%|          | 127/30000 [06:58<31:44:15,  3.82s/it, lr=1e-5, step_loss=0.105, td=0.18s]
Steps:   0%|          | 127/30000 [06:58<31:44:15,  3.82s/it, lr=1e-5, step_loss=0.064, td=3.47s]
Steps:   0%|          | 128/30000 [07:00<26:33:54,  3.20s/it, lr=1e-5, step_loss=0.064, td=3.47s]
Steps:   0%|          | 128/30000 [07:00<26:33:54,  3.20s/it, lr=1e-5, step_loss=0.0744, td=0.09s]
Steps:   0%|          | 129/30000 [07:01<21:22:34,  2.58s/it, lr=1e-5, step_loss=0.0744, td=0.09s]
Steps:   0%|          | 129/30000 [07:01<21:22:34,  2.58s/it, lr=1e-5, step_loss=0.0885, td=0.18s]12/12/2024 15:03:03 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:03:03 - INFO - __main__ - removing checkpoints: motion_module-126.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 130/30000 [07:08<31:43:00,  3.82s/it, lr=1e-5, step_loss=0.0885, td=0.18s]
Steps:   0%|          | 130/30000 [07:08<31:43:00,  3.82s/it, lr=1e-5, step_loss=0.052, td=3.53s] 
Steps:   0%|          | 131/30000 [07:10<26:35:47,  3.21s/it, lr=1e-5, step_loss=0.052, td=3.53s]
Steps:   0%|          | 131/30000 [07:10<26:35:47,  3.21s/it, lr=1e-5, step_loss=0.0996, td=0.10s]
Steps:   0%|          | 132/30000 [07:11<21:41:38,  2.61s/it, lr=1e-5, step_loss=0.0996, td=0.10s]
Steps:   0%|          | 132/30000 [07:11<21:41:38,  2.61s/it, lr=1e-5, step_loss=0.0355, td=0.30s]12/12/2024 15:03:12 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:03:12 - INFO - __main__ - removing checkpoints: motion_module-129.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 133/30000 [07:18<32:23:30,  3.90s/it, lr=1e-5, step_loss=0.0355, td=0.30s]
Steps:   0%|          | 133/30000 [07:18<32:23:30,  3.90s/it, lr=1e-5, step_loss=0.0728, td=3.58s]
Steps:   0%|          | 134/30000 [07:19<27:02:39,  3.26s/it, lr=1e-5, step_loss=0.0728, td=3.58s]
Steps:   0%|          | 134/30000 [07:19<27:02:39,  3.26s/it, lr=1e-5, step_loss=0.0676, td=0.08s]
Steps:   0%|          | 135/30000 [07:21<21:48:21,  2.63s/it, lr=1e-5, step_loss=0.0676, td=0.08s]
Steps:   0%|          | 135/30000 [07:21<21:48:21,  2.63s/it, lr=1e-5, step_loss=0.0719, td=0.22s]12/12/2024 15:03:22 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:03:22 - INFO - __main__ - removing checkpoints: motion_module-132.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 136/30000 [07:27<32:19:51,  3.90s/it, lr=1e-5, step_loss=0.0719, td=0.22s]
Steps:   0%|          | 136/30000 [07:27<32:19:51,  3.90s/it, lr=1e-5, step_loss=0.0674, td=3.64s]
Steps:   0%|          | 137/30000 [07:29<26:59:46,  3.25s/it, lr=1e-5, step_loss=0.0674, td=3.64s]
Steps:   0%|          | 137/30000 [07:29<26:59:46,  3.25s/it, lr=1e-5, step_loss=0.0916, td=0.08s]
Steps:   0%|          | 138/30000 [07:30<21:40:21,  2.61s/it, lr=1e-5, step_loss=0.0916, td=0.08s]
Steps:   0%|          | 138/30000 [07:30<21:40:21,  2.61s/it, lr=1e-5, step_loss=0.0412, td=0.18s]12/12/2024 15:03:32 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:03:32 - INFO - __main__ - removing checkpoints: motion_module-135.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 139/30000 [07:37<32:33:30,  3.93s/it, lr=1e-5, step_loss=0.0412, td=0.18s]
Steps:   0%|          | 139/30000 [07:37<32:33:30,  3.93s/it, lr=1e-5, step_loss=0.0711, td=3.81s]
Steps:   0%|          | 140/30000 [07:39<27:08:46,  3.27s/it, lr=1e-5, step_loss=0.0711, td=3.81s]
Steps:   0%|          | 140/30000 [07:39<27:08:46,  3.27s/it, lr=1e-5, step_loss=0.0734, td=0.08s]
Steps:   0%|          | 141/30000 [07:40<21:46:48,  2.63s/it, lr=1e-5, step_loss=0.0734, td=0.08s]
Steps:   0%|          | 141/30000 [07:40<21:46:48,  2.63s/it, lr=1e-5, step_loss=0.056, td=0.18s] 12/12/2024 15:03:42 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:03:42 - INFO - __main__ - removing checkpoints: motion_module-138.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 142/30000 [07:47<32:47:49,  3.95s/it, lr=1e-5, step_loss=0.056, td=0.18s]
Steps:   0%|          | 142/30000 [07:47<32:47:49,  3.95s/it, lr=1e-5, step_loss=0.0835, td=3.78s]
Steps:   0%|          | 143/30000 [07:49<27:19:01,  3.29s/it, lr=1e-5, step_loss=0.0835, td=3.78s]
Steps:   0%|          | 143/30000 [07:49<27:19:01,  3.29s/it, lr=1e-5, step_loss=0.0529, td=0.08s]
Steps:   0%|          | 144/30000 [07:50<21:59:55,  2.65s/it, lr=1e-5, step_loss=0.0529, td=0.08s]
Steps:   0%|          | 144/30000 [07:50<21:59:55,  2.65s/it, lr=1e-5, step_loss=0.0401, td=0.22s]12/12/2024 15:03:52 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:03:52 - INFO - __main__ - removing checkpoints: motion_module-141.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 145/30000 [07:57<32:30:32,  3.92s/it, lr=1e-5, step_loss=0.0401, td=0.22s]
Steps:   0%|          | 145/30000 [07:57<32:30:32,  3.92s/it, lr=1e-5, step_loss=0.0802, td=3.56s]
Steps:   0%|          | 146/30000 [07:59<27:06:52,  3.27s/it, lr=1e-5, step_loss=0.0802, td=3.56s]
Steps:   0%|          | 146/30000 [07:59<27:06:52,  3.27s/it, lr=1e-5, step_loss=0.0575, td=0.08s]
Steps:   0%|          | 147/30000 [08:00<21:45:03,  2.62s/it, lr=1e-5, step_loss=0.0575, td=0.08s]
Steps:   0%|          | 147/30000 [08:00<21:45:03,  2.62s/it, lr=1e-5, step_loss=0.0569, td=0.17s]12/12/2024 15:04:02 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:04:02 - INFO - __main__ - removing checkpoints: motion_module-144.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 148/30000 [08:07<32:13:49,  3.89s/it, lr=1e-5, step_loss=0.0569, td=0.17s]
Steps:   0%|          | 148/30000 [08:07<32:13:49,  3.89s/it, lr=1e-5, step_loss=0.0494, td=3.51s]
Steps:   0%|          | 149/30000 [08:09<26:55:49,  3.25s/it, lr=1e-5, step_loss=0.0494, td=3.51s]
Steps:   0%|          | 149/30000 [08:09<26:55:49,  3.25s/it, lr=1e-5, step_loss=0.0801, td=0.09s]
Steps:   0%|          | 150/30000 [08:10<21:40:28,  2.61s/it, lr=1e-5, step_loss=0.0801, td=0.09s]
Steps:   0%|          | 150/30000 [08:10<21:40:28,  2.61s/it, lr=1e-5, step_loss=0.102, td=0.19s] 12/12/2024 15:04:11 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:04:11 - INFO - __main__ - removing checkpoints: motion_module-147.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 151/30000 [08:17<32:34:54,  3.93s/it, lr=1e-5, step_loss=0.102, td=0.19s]
Steps:   1%|          | 151/30000 [08:17<32:34:54,  3.93s/it, lr=1e-5, step_loss=0.0524, td=3.75s]
Steps:   1%|          | 152/30000 [08:18<27:11:10,  3.28s/it, lr=1e-5, step_loss=0.0524, td=3.75s]
Steps:   1%|          | 152/30000 [08:18<27:11:10,  3.28s/it, lr=1e-5, step_loss=0.0709, td=0.09s]
Steps:   1%|          | 153/30000 [08:20<21:50:02,  2.63s/it, lr=1e-5, step_loss=0.0709, td=0.09s]
Steps:   1%|          | 153/30000 [08:20<21:50:02,  2.63s/it, lr=1e-5, step_loss=0.0829, td=0.19s]12/12/2024 15:04:21 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:04:21 - INFO - __main__ - removing checkpoints: motion_module-150.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 154/30000 [08:27<32:44:45,  3.95s/it, lr=1e-5, step_loss=0.0829, td=0.19s]
Steps:   1%|          | 154/30000 [08:27<32:44:45,  3.95s/it, lr=1e-5, step_loss=0.0538, td=3.72s]
Steps:   1%|          | 155/30000 [08:28<27:01:14,  3.26s/it, lr=1e-5, step_loss=0.0538, td=3.72s]
Steps:   1%|          | 155/30000 [08:28<27:01:14,  3.26s/it, lr=1e-5, step_loss=0.0927, td=0.09s]
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+12/12/2024 15:04:31 - INFO - __main__ - removing checkpoints: motion_module-153.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 157/30000 [08:36<32:37:22,  3.94s/it, lr=1e-5, step_loss=0.0582, td=0.19s]
Steps:   1%|          | 157/30000 [08:36<32:37:22,  3.94s/it, lr=1e-5, step_loss=0.0921, td=3.69s]
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Steps:   1%|          | 158/30000 [08:38<27:11:34,  3.28s/it, lr=1e-5, step_loss=0.078, td=0.08s] 
Steps:   1%|          | 159/30000 [08:39<21:47:55,  2.63s/it, lr=1e-5, step_loss=0.078, td=0.08s]
Steps:   1%|          | 159/30000 [08:39<21:47:55,  2.63s/it, lr=1e-5, step_loss=0.0417, td=0.17s]12/12/2024 15:04:41 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:04:41 - INFO - __main__ - removing checkpoints: motion_module-156.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 160/30000 [08:46<32:49:14,  3.96s/it, lr=1e-5, step_loss=0.0417, td=0.17s]
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Steps:   1%|          | 162/30000 [08:49<22:01:37,  2.66s/it, lr=1e-5, step_loss=0.067, td=0.22s] 12/12/2024 15:04:51 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:04:51 - INFO - __main__ - removing checkpoints: motion_module-159.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 163/30000 [08:56<33:02:44,  3.99s/it, lr=1e-5, step_loss=0.067, td=0.22s]
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Steps:   1%|          | 165/30000 [08:59<22:15:41,  2.69s/it, lr=1e-5, step_loss=0.0848, td=0.25s]sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 166/30000 [09:06<32:32:10,  3.93s/it, lr=1e-5, step_loss=0.0848, td=0.25s]
Steps:   1%|          | 166/30000 [09:06<32:32:10,  3.93s/it, lr=1e-5, step_loss=0.0484, td=3.63s]
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Steps:   1%|          | 168/30000 [09:09<21:55:20,  2.65s/it, lr=1e-5, step_loss=0.0982, td=0.21s]sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 169/30000 [09:16<32:45:39,  3.95s/it, lr=1e-5, step_loss=0.0982, td=0.21s]
Steps:   1%|          | 169/30000 [09:16<32:45:39,  3.95s/it, lr=1e-5, step_loss=0.0662, td=3.72s]
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Steps:   1%|          | 170/30000 [09:18<27:20:09,  3.30s/it, lr=1e-5, step_loss=0.0659, td=0.09s]
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Steps:   1%|          | 171/30000 [09:19<21:55:41,  2.65s/it, lr=1e-5, step_loss=0.0641, td=0.18s]12/12/2024 15:05:21 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:05:21 - INFO - __main__ - removing checkpoints: motion_module-162.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 172/30000 [09:26<32:14:20,  3.89s/it, lr=1e-5, step_loss=0.0641, td=0.18s]
Steps:   1%|          | 172/30000 [09:26<32:14:20,  3.89s/it, lr=1e-5, step_loss=0.046, td=3.60s] 
Steps:   1%|          | 173/30000 [09:27<26:55:40,  3.25s/it, lr=1e-5, step_loss=0.046, td=3.60s]
Steps:   1%|          | 173/30000 [09:27<26:55:40,  3.25s/it, lr=1e-5, step_loss=0.0738, td=0.08s]
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Steps:   1%|          | 174/30000 [09:29<21:39:14,  2.61s/it, lr=1e-5, step_loss=0.051, td=0.19s] 12/12/2024 15:05:30 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:05:30 - INFO - __main__ - removing checkpoints: motion_module-165.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 175/30000 [09:36<32:46:05,  3.96s/it, lr=1e-5, step_loss=0.051, td=0.19s]
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+12/12/2024 15:05:40 - INFO - __main__ - removing checkpoints: motion_module-168.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 178/30000 [09:46<32:41:12,  3.95s/it, lr=1e-5, step_loss=0.0733, td=0.19s]
Steps:   1%|          | 178/30000 [09:46<32:41:12,  3.95s/it, lr=1e-5, step_loss=0.0683, td=3.67s]
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Steps:   1%|          | 180/30000 [09:48<21:37:49,  2.61s/it, lr=1e-5, step_loss=0.0535, td=0.18s]12/12/2024 15:05:50 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:05:50 - INFO - __main__ - removing checkpoints: motion_module-171.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|          | 181/30000 [09:55<31:49:34,  3.84s/it, lr=1e-5, step_loss=0.0535, td=0.18s]
Steps:   1%|          | 181/30000 [09:55<31:49:34,  3.84s/it, lr=1e-5, step_loss=0.0509, td=3.54s]
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Steps:   1%|          | 183/30000 [09:58<21:12:34,  2.56s/it, lr=1e-5, step_loss=0.096, td=0.08s]
Steps:   1%|          | 183/30000 [09:58<21:12:34,  2.56s/it, lr=1e-5, step_loss=0.0506, td=0.17s]12/12/2024 15:05:59 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:05:59 - INFO - __main__ - removing checkpoints: motion_module-174.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 184/30000 [10:05<32:06:49,  3.88s/it, lr=1e-5, step_loss=0.0506, td=0.17s]
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Steps:   1%|          | 186/30000 [10:08<21:33:12,  2.60s/it, lr=1e-5, step_loss=0.0405, td=0.18s]12/12/2024 15:06:09 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:06:09 - INFO - __main__ - removing checkpoints: motion_module-177.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 187/30000 [10:15<32:41:34,  3.95s/it, lr=1e-5, step_loss=0.0405, td=0.18s]
Steps:   1%|          | 187/30000 [10:15<32:41:34,  3.95s/it, lr=1e-5, step_loss=0.0459, td=3.65s]
Steps:   1%|          | 188/30000 [10:16<27:13:04,  3.29s/it, lr=1e-5, step_loss=0.0459, td=3.65s]
Steps:   1%|          | 188/30000 [10:16<27:13:04,  3.29s/it, lr=1e-5, step_loss=0.0809, td=0.08s]
Steps:   1%|          | 189/30000 [10:18<21:53:27,  2.64s/it, lr=1e-5, step_loss=0.0809, td=0.08s]
Steps:   1%|          | 189/30000 [10:18<21:53:27,  2.64s/it, lr=1e-5, step_loss=0.087, td=0.21s] 12/12/2024 15:06:19 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:06:19 - INFO - __main__ - removing checkpoints: motion_module-180.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 190/30000 [10:24<32:26:38,  3.92s/it, lr=1e-5, step_loss=0.087, td=0.21s]
Steps:   1%|          | 190/30000 [10:24<32:26:38,  3.92s/it, lr=1e-5, step_loss=0.0535, td=3.60s]
Steps:   1%|          | 191/30000 [10:26<27:04:21,  3.27s/it, lr=1e-5, step_loss=0.0535, td=3.60s]
Steps:   1%|          | 191/30000 [10:26<27:04:21,  3.27s/it, lr=1e-5, step_loss=0.0696, td=0.08s]
Steps:   1%|          | 192/30000 [10:27<21:43:16,  2.62s/it, lr=1e-5, step_loss=0.0696, td=0.08s]
Steps:   1%|          | 192/30000 [10:27<21:43:16,  2.62s/it, lr=1e-5, step_loss=0.0395, td=0.18s]12/12/2024 15:06:29 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:06:29 - INFO - __main__ - removing checkpoints: motion_module-183.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 193/30000 [10:34<32:52:19,  3.97s/it, lr=1e-5, step_loss=0.0395, td=0.18s]
Steps:   1%|          | 193/30000 [10:34<32:52:19,  3.97s/it, lr=1e-5, step_loss=0.101, td=3.85s] 
Steps:   1%|          | 194/30000 [10:36<27:21:12,  3.30s/it, lr=1e-5, step_loss=0.101, td=3.85s]
Steps:   1%|          | 194/30000 [10:36<27:21:12,  3.30s/it, lr=1e-5, step_loss=0.0523, td=0.08s]
Steps:   1%|          | 195/30000 [10:37<21:55:28,  2.65s/it, lr=1e-5, step_loss=0.0523, td=0.08s]
Steps:   1%|          | 195/30000 [10:37<21:55:28,  2.65s/it, lr=1e-5, step_loss=0.0233, td=0.18s]12/12/2024 15:06:39 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:06:39 - INFO - __main__ - removing checkpoints: motion_module-186.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 196/30000 [10:44<32:38:46,  3.94s/it, lr=1e-5, step_loss=0.0233, td=0.18s]
Steps:   1%|          | 196/30000 [10:44<32:38:46,  3.94s/it, lr=1e-5, step_loss=0.0439, td=3.74s]
Steps:   1%|          | 197/30000 [10:46<27:10:32,  3.28s/it, lr=1e-5, step_loss=0.0439, td=3.74s]
Steps:   1%|          | 197/30000 [10:46<27:10:32,  3.28s/it, lr=1e-5, step_loss=0.109, td=0.08s] 
Steps:   1%|          | 198/30000 [10:47<21:49:08,  2.64s/it, lr=1e-5, step_loss=0.109, td=0.08s]
Steps:   1%|          | 198/30000 [10:47<21:49:08,  2.64s/it, lr=1e-5, step_loss=0.0424, td=0.18s]12/12/2024 15:06:49 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:06:49 - INFO - __main__ - removing checkpoints: motion_module-189.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 199/30000 [10:54<32:19:34,  3.91s/it, lr=1e-5, step_loss=0.0424, td=0.18s]
Steps:   1%|          | 199/30000 [10:54<32:19:34,  3.91s/it, lr=1e-5, step_loss=0.0703, td=3.65s]
Steps:   1%|          | 200/30000 [10:56<26:57:43,  3.26s/it, lr=1e-5, step_loss=0.0703, td=3.65s]12/12/2024 15:06:57 - INFO - __main__ - Running validation... 
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
+
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+
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100%|██████████| 20/20 [00:03<00:00,  5.67it/s]
100%|██████████| 20/20 [00:03<00:00,  5.55it/s]
+sample torch.Size([2, 5, 32, 32])
+
+
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+
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+
100%|██████████| 24/24 [00:00<00:00, 108.78it/s]
100%|██████████| 24/24 [00:00<00:00, 109.35it/s]
+
Steps:   1%|          | 200/30000 [11:03<26:57:43,  3.26s/it, lr=1e-5, step_loss=0.0802, td=0.08s]
Steps:   1%|          | 201/30000 [11:04<39:21:03,  4.75s/it, lr=1e-5, step_loss=0.0802, td=0.08s]
Steps:   1%|          | 201/30000 [11:04<39:21:03,  4.75s/it, lr=1e-5, step_loss=0.0784, td=0.27s]12/12/2024 15:07:06 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:07:06 - INFO - __main__ - removing checkpoints: motion_module-192.pth
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 202/30000 [11:12<46:58:19,  5.67s/it, lr=1e-5, step_loss=0.0784, td=0.27s]
Steps:   1%|          | 202/30000 [11:12<46:58:19,  5.67s/it, lr=1e-5, step_loss=0.0644, td=3.88s]
Steps:   1%|          | 203/30000 [11:14<37:14:29,  4.50s/it, lr=1e-5, step_loss=0.0644, td=3.88s]
Steps:   1%|          | 203/30000 [11:14<37:14:29,  4.50s/it, lr=1e-5, step_loss=0.0673, td=0.09s]
Steps:   1%|          | 204/30000 [11:15<28:51:42,  3.49s/it, lr=1e-5, step_loss=0.0673, td=0.09s]
Steps:   1%|          | 204/30000 [11:15<28:51:42,  3.49s/it, lr=1e-5, step_loss=0.0342, td=0.18s]12/12/2024 15:07:16 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:07:16 - INFO - __main__ - removing checkpoints: motion_module-195.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 205/30000 [11:22<37:07:22,  4.49s/it, lr=1e-5, step_loss=0.0342, td=0.18s]
Steps:   1%|          | 205/30000 [11:22<37:07:22,  4.49s/it, lr=1e-5, step_loss=0.0635, td=3.64s]
Steps:   1%|          | 206/30000 [11:23<30:21:11,  3.67s/it, lr=1e-5, step_loss=0.0635, td=3.64s]
Steps:   1%|          | 206/30000 [11:23<30:21:11,  3.67s/it, lr=1e-5, step_loss=0.0509, td=0.09s]
Steps:   1%|          | 207/30000 [11:24<24:01:46,  2.90s/it, lr=1e-5, step_loss=0.0509, td=0.09s]
Steps:   1%|          | 207/30000 [11:24<24:01:46,  2.90s/it, lr=1e-5, step_loss=0.0823, td=0.18s]12/12/2024 15:07:26 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:07:26 - INFO - __main__ - removing checkpoints: motion_module-198.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 208/30000 [11:32<34:47:58,  4.21s/it, lr=1e-5, step_loss=0.0823, td=0.18s]
Steps:   1%|          | 208/30000 [11:32<34:47:58,  4.21s/it, lr=1e-5, step_loss=0.0496, td=3.88s]
Steps:   1%|          | 209/30000 [11:33<28:42:27,  3.47s/it, lr=1e-5, step_loss=0.0496, td=3.88s]
Steps:   1%|          | 209/30000 [11:33<28:42:27,  3.47s/it, lr=1e-5, step_loss=0.0847, td=0.08s]
Steps:   1%|          | 210/30000 [11:35<22:54:24,  2.77s/it, lr=1e-5, step_loss=0.0847, td=0.08s]
Steps:   1%|          | 210/30000 [11:35<22:54:24,  2.77s/it, lr=1e-5, step_loss=0.0288, td=0.17s]12/12/2024 15:07:36 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:07:36 - INFO - __main__ - removing checkpoints: motion_module-201.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 211/30000 [11:41<33:16:19,  4.02s/it, lr=1e-5, step_loss=0.0288, td=0.17s]
Steps:   1%|          | 211/30000 [11:41<33:16:19,  4.02s/it, lr=1e-5, step_loss=0.0613, td=3.75s]
Steps:   1%|          | 212/30000 [11:43<27:38:58,  3.34s/it, lr=1e-5, step_loss=0.0613, td=3.75s]
Steps:   1%|          | 212/30000 [11:43<27:38:58,  3.34s/it, lr=1e-5, step_loss=0.0751, td=0.09s]
Steps:   1%|          | 213/30000 [11:44<22:06:43,  2.67s/it, lr=1e-5, step_loss=0.0751, td=0.09s]
Steps:   1%|          | 213/30000 [11:44<22:06:43,  2.67s/it, lr=1e-5, step_loss=0.0493, td=0.17s]12/12/2024 15:07:46 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:07:46 - INFO - __main__ - removing checkpoints: motion_module-204.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 214/30000 [11:51<32:43:32,  3.96s/it, lr=1e-5, step_loss=0.0493, td=0.17s]
Steps:   1%|          | 214/30000 [11:51<32:43:32,  3.96s/it, lr=1e-5, step_loss=0.0789, td=3.72s]
Steps:   1%|          | 215/30000 [11:53<27:15:40,  3.29s/it, lr=1e-5, step_loss=0.0789, td=3.72s]
Steps:   1%|          | 215/30000 [11:53<27:15:40,  3.29s/it, lr=1e-5, step_loss=0.0495, td=0.08s]
Steps:   1%|          | 216/30000 [11:54<21:52:18,  2.64s/it, lr=1e-5, step_loss=0.0495, td=0.08s]
Steps:   1%|          | 216/30000 [11:54<21:52:18,  2.64s/it, lr=1e-5, step_loss=0.0724, td=0.18s]12/12/2024 15:07:56 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:07:56 - INFO - __main__ - removing checkpoints: motion_module-207.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 217/30000 [12:01<33:17:39,  4.02s/it, lr=1e-5, step_loss=0.0724, td=0.18s]
Steps:   1%|          | 217/30000 [12:01<33:17:39,  4.02s/it, lr=1e-5, step_loss=0.0681, td=3.90s]
Steps:   1%|          | 218/30000 [12:03<27:39:33,  3.34s/it, lr=1e-5, step_loss=0.0681, td=3.90s]
Steps:   1%|          | 218/30000 [12:03<27:39:33,  3.34s/it, lr=1e-5, step_loss=0.0503, td=0.09s]
Steps:   1%|          | 219/30000 [12:04<22:07:54,  2.68s/it, lr=1e-5, step_loss=0.0503, td=0.09s]
Steps:   1%|          | 219/30000 [12:04<22:07:54,  2.68s/it, lr=1e-5, step_loss=0.0605, td=0.17s]12/12/2024 15:08:06 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:08:06 - INFO - __main__ - removing checkpoints: motion_module-210.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 220/30000 [12:11<32:40:05,  3.95s/it, lr=1e-5, step_loss=0.0605, td=0.17s]
Steps:   1%|          | 220/30000 [12:11<32:40:05,  3.95s/it, lr=1e-5, step_loss=0.0427, td=3.70s]
Steps:   1%|          | 221/30000 [12:13<27:13:16,  3.29s/it, lr=1e-5, step_loss=0.0427, td=3.70s]
Steps:   1%|          | 221/30000 [12:13<27:13:16,  3.29s/it, lr=1e-5, step_loss=0.0708, td=0.09s]
Steps:   1%|          | 222/30000 [12:14<21:49:16,  2.64s/it, lr=1e-5, step_loss=0.0708, td=0.09s]
Steps:   1%|          | 222/30000 [12:14<21:49:16,  2.64s/it, lr=1e-5, step_loss=0.0626, td=0.17s]12/12/2024 15:08:16 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:08:16 - INFO - __main__ - removing checkpoints: motion_module-213.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 223/30000 [12:21<32:33:10,  3.94s/it, lr=1e-5, step_loss=0.0626, td=0.17s]
Steps:   1%|          | 223/30000 [12:21<32:33:10,  3.94s/it, lr=1e-5, step_loss=0.031, td=3.60s] 
Steps:   1%|          | 224/30000 [12:23<27:07:58,  3.28s/it, lr=1e-5, step_loss=0.031, td=3.60s]
Steps:   1%|          | 224/30000 [12:23<27:07:58,  3.28s/it, lr=1e-5, step_loss=0.0935, td=0.08s]
Steps:   1%|          | 225/30000 [12:24<21:45:40,  2.63s/it, lr=1e-5, step_loss=0.0935, td=0.08s]
Steps:   1%|          | 225/30000 [12:24<21:45:40,  2.63s/it, lr=1e-5, step_loss=0.0919, td=0.17s]12/12/2024 15:08:26 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:08:26 - INFO - __main__ - removing checkpoints: motion_module-216.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 226/30000 [12:31<32:19:42,  3.91s/it, lr=1e-5, step_loss=0.0919, td=0.17s]
Steps:   1%|          | 226/30000 [12:31<32:19:42,  3.91s/it, lr=1e-5, step_loss=0.0512, td=3.61s]
Steps:   1%|          | 227/30000 [12:33<26:58:29,  3.26s/it, lr=1e-5, step_loss=0.0512, td=3.61s]
Steps:   1%|          | 227/30000 [12:33<26:58:29,  3.26s/it, lr=1e-5, step_loss=0.0598, td=0.08s]
Steps:   1%|          | 228/30000 [12:34<21:38:07,  2.62s/it, lr=1e-5, step_loss=0.0598, td=0.08s]
Steps:   1%|          | 228/30000 [12:34<21:38:07,  2.62s/it, lr=1e-5, step_loss=0.0471, td=0.17s]12/12/2024 15:08:35 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:08:35 - INFO - __main__ - removing checkpoints: motion_module-219.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 229/30000 [12:41<32:20:26,  3.91s/it, lr=1e-5, step_loss=0.0471, td=0.17s]
Steps:   1%|          | 229/30000 [12:41<32:20:26,  3.91s/it, lr=1e-5, step_loss=0.0596, td=3.61s]
Steps:   1%|          | 230/30000 [12:42<26:59:39,  3.26s/it, lr=1e-5, step_loss=0.0596, td=3.61s]
Steps:   1%|          | 230/30000 [12:42<26:59:39,  3.26s/it, lr=1e-5, step_loss=0.064, td=0.09s] 
Steps:   1%|          | 231/30000 [12:43<21:39:40,  2.62s/it, lr=1e-5, step_loss=0.064, td=0.09s]
Steps:   1%|          | 231/30000 [12:43<21:39:40,  2.62s/it, lr=1e-5, step_loss=0.0281, td=0.18s]12/12/2024 15:08:45 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:08:45 - INFO - __main__ - removing checkpoints: motion_module-222.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 232/30000 [12:50<32:14:34,  3.90s/it, lr=1e-5, step_loss=0.0281, td=0.18s]
Steps:   1%|          | 232/30000 [12:50<32:14:34,  3.90s/it, lr=1e-5, step_loss=0.0404, td=3.69s]
Steps:   1%|          | 233/30000 [12:52<26:55:47,  3.26s/it, lr=1e-5, step_loss=0.0404, td=3.69s]
Steps:   1%|          | 233/30000 [12:52<26:55:47,  3.26s/it, lr=1e-5, step_loss=0.061, td=0.09s] 
Steps:   1%|          | 234/30000 [12:53<21:37:37,  2.62s/it, lr=1e-5, step_loss=0.061, td=0.09s]
Steps:   1%|          | 234/30000 [12:53<21:37:37,  2.62s/it, lr=1e-5, step_loss=0.0739, td=0.17s]12/12/2024 15:08:55 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:08:55 - INFO - __main__ - removing checkpoints: motion_module-225.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 235/30000 [13:00<32:42:01,  3.96s/it, lr=1e-5, step_loss=0.0739, td=0.17s]
Steps:   1%|          | 235/30000 [13:00<32:42:01,  3.96s/it, lr=1e-5, step_loss=0.0466, td=3.78s]
Steps:   1%|          | 236/30000 [13:02<27:14:10,  3.29s/it, lr=1e-5, step_loss=0.0466, td=3.78s]
Steps:   1%|          | 236/30000 [13:02<27:14:10,  3.29s/it, lr=1e-5, step_loss=0.0584, td=0.08s]
Steps:   1%|          | 237/30000 [13:03<21:51:24,  2.64s/it, lr=1e-5, step_loss=0.0584, td=0.08s]
Steps:   1%|          | 237/30000 [13:03<21:51:24,  2.64s/it, lr=1e-5, step_loss=0.0416, td=0.18s]12/12/2024 15:09:05 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:09:05 - INFO - __main__ - removing checkpoints: motion_module-228.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 238/30000 [13:10<33:11:40,  4.02s/it, lr=1e-5, step_loss=0.0416, td=0.18s]
Steps:   1%|          | 238/30000 [13:10<33:11:40,  4.02s/it, lr=1e-5, step_loss=0.0563, td=3.89s]
Steps:   1%|          | 239/30000 [13:12<27:36:14,  3.34s/it, lr=1e-5, step_loss=0.0563, td=3.89s]
Steps:   1%|          | 239/30000 [13:12<27:36:14,  3.34s/it, lr=1e-5, step_loss=0.0581, td=0.09s]
Steps:   1%|          | 240/30000 [13:13<22:13:27,  2.69s/it, lr=1e-5, step_loss=0.0581, td=0.09s]
Steps:   1%|          | 240/30000 [13:13<22:13:27,  2.69s/it, lr=1e-5, step_loss=0.028, td=0.23s] 12/12/2024 15:09:15 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:09:15 - INFO - __main__ - removing checkpoints: motion_module-231.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 241/30000 [13:20<32:51:48,  3.98s/it, lr=1e-5, step_loss=0.028, td=0.23s]
Steps:   1%|          | 241/30000 [13:20<32:51:48,  3.98s/it, lr=1e-5, step_loss=0.0631, td=3.67s]
Steps:   1%|          | 242/30000 [13:22<27:21:47,  3.31s/it, lr=1e-5, step_loss=0.0631, td=3.67s]
Steps:   1%|          | 242/30000 [13:22<27:21:47,  3.31s/it, lr=1e-5, step_loss=0.0427, td=0.08s]
Steps:   1%|          | 243/30000 [13:23<21:54:01,  2.65s/it, lr=1e-5, step_loss=0.0427, td=0.08s]
Steps:   1%|          | 243/30000 [13:23<21:54:01,  2.65s/it, lr=1e-5, step_loss=0.0324, td=0.17s]12/12/2024 15:09:25 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:09:25 - INFO - __main__ - removing checkpoints: motion_module-234.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 244/30000 [13:30<32:15:53,  3.90s/it, lr=1e-5, step_loss=0.0324, td=0.17s]
Steps:   1%|          | 244/30000 [13:30<32:15:53,  3.90s/it, lr=1e-5, step_loss=0.056, td=3.56s] 
Steps:   1%|          | 245/30000 [13:32<26:55:46,  3.26s/it, lr=1e-5, step_loss=0.056, td=3.56s]
Steps:   1%|          | 245/30000 [13:32<26:55:46,  3.26s/it, lr=1e-5, step_loss=0.043, td=0.08s]
Steps:   1%|          | 246/30000 [13:33<21:37:43,  2.62s/it, lr=1e-5, step_loss=0.043, td=0.08s]
Steps:   1%|          | 246/30000 [13:33<21:37:43,  2.62s/it, lr=1e-5, step_loss=0.0427, td=0.17s]12/12/2024 15:09:34 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:09:34 - INFO - __main__ - removing checkpoints: motion_module-237.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 247/30000 [13:40<32:14:25,  3.90s/it, lr=1e-5, step_loss=0.0427, td=0.17s]
Steps:   1%|          | 247/30000 [13:40<32:14:25,  3.90s/it, lr=1e-5, step_loss=0.0549, td=3.58s]
Steps:   1%|          | 248/30000 [13:42<26:54:57,  3.26s/it, lr=1e-5, step_loss=0.0549, td=3.58s]
Steps:   1%|          | 248/30000 [13:42<26:54:57,  3.26s/it, lr=1e-5, step_loss=0.0791, td=0.08s]
Steps:   1%|          | 249/30000 [13:43<21:24:02,  2.59s/it, lr=1e-5, step_loss=0.0791, td=0.08s]
Steps:   1%|          | 249/30000 [13:43<21:24:02,  2.59s/it, lr=1e-5, step_loss=0.0292, td=0.17s]12/12/2024 15:09:44 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:09:44 - INFO - __main__ - removing checkpoints: motion_module-240.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|          | 250/30000 [13:49<31:47:50,  3.85s/it, lr=1e-5, step_loss=0.0292, td=0.17s]
Steps:   1%|          | 250/30000 [13:49<31:47:50,  3.85s/it, lr=1e-5, step_loss=0.0584, td=3.61s]
Steps:   1%|          | 251/30000 [13:51<26:35:34,  3.22s/it, lr=1e-5, step_loss=0.0584, td=3.61s]
Steps:   1%|          | 251/30000 [13:51<26:35:34,  3.22s/it, lr=1e-5, step_loss=0.056, td=0.08s] 
Steps:   1%|          | 252/30000 [13:52<21:23:09,  2.59s/it, lr=1e-5, step_loss=0.056, td=0.08s]
Steps:   1%|          | 252/30000 [13:52<21:23:09,  2.59s/it, lr=1e-5, step_loss=0.0932, td=0.18s]12/12/2024 15:09:54 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:09:54 - INFO - __main__ - removing checkpoints: motion_module-243.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 253/30000 [13:59<32:28:36,  3.93s/it, lr=1e-5, step_loss=0.0932, td=0.18s]
Steps:   1%|          | 253/30000 [13:59<32:28:36,  3.93s/it, lr=1e-5, step_loss=0.0562, td=3.77s]
Steps:   1%|          | 254/30000 [14:01<27:04:28,  3.28s/it, lr=1e-5, step_loss=0.0562, td=3.77s]
Steps:   1%|          | 254/30000 [14:01<27:04:28,  3.28s/it, lr=1e-5, step_loss=0.0552, td=0.08s]
Steps:   1%|          | 255/30000 [14:02<21:42:16,  2.63s/it, lr=1e-5, step_loss=0.0552, td=0.08s]
Steps:   1%|          | 255/30000 [14:02<21:42:16,  2.63s/it, lr=1e-5, step_loss=0.0439, td=0.17s]12/12/2024 15:10:04 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:10:04 - INFO - __main__ - removing checkpoints: motion_module-246.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 256/30000 [14:09<32:01:21,  3.88s/it, lr=1e-5, step_loss=0.0439, td=0.17s]
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+12/12/2024 15:10:13 - INFO - __main__ - removing checkpoints: motion_module-249.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|          | 259/30000 [14:19<31:55:33,  3.86s/it, lr=1e-5, step_loss=0.0708, td=0.18s]
Steps:   1%|          | 259/30000 [14:19<31:55:33,  3.86s/it, lr=1e-5, step_loss=0.102, td=3.71s] 
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Steps:   1%|          | 261/30000 [14:21<21:26:10,  2.59s/it, lr=1e-5, step_loss=0.0374, td=0.17s]12/12/2024 15:10:23 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:10:23 - INFO - __main__ - removing checkpoints: motion_module-252.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 262/30000 [14:29<32:30:34,  3.94s/it, lr=1e-5, step_loss=0.0374, td=0.17s]
Steps:   1%|          | 262/30000 [14:29<32:30:34,  3.94s/it, lr=1e-5, step_loss=0.0778, td=3.72s]
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Steps:   1%|          | 264/30000 [14:31<21:42:09,  2.63s/it, lr=1e-5, step_loss=0.0261, td=0.17s]12/12/2024 15:10:33 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:10:33 - INFO - __main__ - removing checkpoints: motion_module-255.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 265/30000 [14:38<32:37:07,  3.95s/it, lr=1e-5, step_loss=0.0261, td=0.17s]
Steps:   1%|          | 265/30000 [14:38<32:37:07,  3.95s/it, lr=1e-5, step_loss=0.0436, td=3.70s]
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Steps:   1%|          | 266/30000 [14:40<27:10:11,  3.29s/it, lr=1e-5, step_loss=0.0695, td=0.08s]
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Steps:   1%|          | 267/30000 [14:41<21:47:46,  2.64s/it, lr=1e-5, step_loss=0.0187, td=0.18s]12/12/2024 15:10:43 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:10:43 - INFO - __main__ - removing checkpoints: motion_module-258.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 268/30000 [14:48<32:34:38,  3.94s/it, lr=1e-5, step_loss=0.0187, td=0.18s]
Steps:   1%|          | 268/30000 [14:48<32:34:38,  3.94s/it, lr=1e-5, step_loss=0.0793, td=3.82s]
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Steps:   1%|          | 269/30000 [14:50<27:08:08,  3.29s/it, lr=1e-5, step_loss=0.0293, td=0.08s]
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Steps:   1%|          | 270/30000 [14:51<21:46:06,  2.64s/it, lr=1e-5, step_loss=0.0764, td=0.18s]12/12/2024 15:10:53 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:10:53 - INFO - __main__ - removing checkpoints: motion_module-261.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 271/30000 [14:58<32:33:50,  3.94s/it, lr=1e-5, step_loss=0.0764, td=0.18s]
Steps:   1%|          | 271/30000 [14:58<32:33:50,  3.94s/it, lr=1e-5, step_loss=0.0697, td=3.68s]
Steps:   1%|          | 272/30000 [15:00<27:07:30,  3.28s/it, lr=1e-5, step_loss=0.0697, td=3.68s]
Steps:   1%|          | 272/30000 [15:00<27:07:30,  3.28s/it, lr=1e-5, step_loss=0.0384, td=0.08s]
Steps:   1%|          | 273/30000 [15:01<21:32:36,  2.61s/it, lr=1e-5, step_loss=0.0384, td=0.08s]
Steps:   1%|          | 273/30000 [15:01<21:32:36,  2.61s/it, lr=1e-5, step_loss=0.0333, td=0.17s]12/12/2024 15:11:03 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:11:03 - INFO - __main__ - removing checkpoints: motion_module-264.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|          | 274/30000 [15:08<32:15:14,  3.91s/it, lr=1e-5, step_loss=0.0333, td=0.17s]
Steps:   1%|          | 274/30000 [15:08<32:15:14,  3.91s/it, lr=1e-5, step_loss=0.0568, td=3.74s]
Steps:   1%|          | 275/30000 [15:10<26:56:02,  3.26s/it, lr=1e-5, step_loss=0.0568, td=3.74s]
Steps:   1%|          | 275/30000 [15:10<26:56:02,  3.26s/it, lr=1e-5, step_loss=0.0602, td=0.09s]
Steps:   1%|          | 276/30000 [15:11<21:39:22,  2.62s/it, lr=1e-5, step_loss=0.0602, td=0.09s]
Steps:   1%|          | 276/30000 [15:11<21:39:22,  2.62s/it, lr=1e-5, step_loss=0.0535, td=0.19s]12/12/2024 15:11:12 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:11:12 - INFO - __main__ - removing checkpoints: motion_module-267.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 277/30000 [15:18<31:59:09,  3.87s/it, lr=1e-5, step_loss=0.0535, td=0.19s]
Steps:   1%|          | 277/30000 [15:18<31:59:09,  3.87s/it, lr=1e-5, step_loss=0.0427, td=3.47s]
Steps:   1%|          | 278/30000 [15:19<26:43:19,  3.24s/it, lr=1e-5, step_loss=0.0427, td=3.47s]
Steps:   1%|          | 278/30000 [15:19<26:43:19,  3.24s/it, lr=1e-5, step_loss=0.0525, td=0.08s]
Steps:   1%|          | 279/30000 [15:20<21:31:08,  2.61s/it, lr=1e-5, step_loss=0.0525, td=0.08s]
Steps:   1%|          | 279/30000 [15:20<21:31:08,  2.61s/it, lr=1e-5, step_loss=0.0689, td=0.20s]12/12/2024 15:11:22 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:11:22 - INFO - __main__ - removing checkpoints: motion_module-270.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 280/30000 [15:28<32:39:54,  3.96s/it, lr=1e-5, step_loss=0.0689, td=0.20s]
Steps:   1%|          | 280/30000 [15:28<32:39:54,  3.96s/it, lr=1e-5, step_loss=0.0547, td=3.78s]
Steps:   1%|          | 281/30000 [15:29<27:11:06,  3.29s/it, lr=1e-5, step_loss=0.0547, td=3.78s]
Steps:   1%|          | 281/30000 [15:29<27:11:06,  3.29s/it, lr=1e-5, step_loss=0.0416, td=0.08s]
Steps:   1%|          | 282/30000 [15:30<21:46:43,  2.64s/it, lr=1e-5, step_loss=0.0416, td=0.08s]
Steps:   1%|          | 282/30000 [15:30<21:46:43,  2.64s/it, lr=1e-5, step_loss=0.0547, td=0.17s]12/12/2024 15:11:32 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:11:32 - INFO - __main__ - removing checkpoints: motion_module-273.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 283/30000 [15:38<33:11:51,  4.02s/it, lr=1e-5, step_loss=0.0547, td=0.17s]
Steps:   1%|          | 283/30000 [15:38<33:11:51,  4.02s/it, lr=1e-5, step_loss=0.0442, td=3.92s]
Steps:   1%|          | 284/30000 [15:39<27:34:34,  3.34s/it, lr=1e-5, step_loss=0.0442, td=3.92s]
Steps:   1%|          | 284/30000 [15:39<27:34:34,  3.34s/it, lr=1e-5, step_loss=0.06, td=0.09s]  
Steps:   1%|          | 285/30000 [15:41<22:08:28,  2.68s/it, lr=1e-5, step_loss=0.06, td=0.09s]
Steps:   1%|          | 285/30000 [15:41<22:08:28,  2.68s/it, lr=1e-5, step_loss=0.019, td=0.20s]12/12/2024 15:11:42 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:11:42 - INFO - __main__ - removing checkpoints: motion_module-276.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 286/30000 [15:47<32:23:57,  3.93s/it, lr=1e-5, step_loss=0.019, td=0.20s]
Steps:   1%|          | 286/30000 [15:47<32:23:57,  3.93s/it, lr=1e-5, step_loss=0.0621, td=3.67s]
Steps:   1%|          | 287/30000 [15:49<27:03:51,  3.28s/it, lr=1e-5, step_loss=0.0621, td=3.67s]
Steps:   1%|          | 287/30000 [15:49<27:03:51,  3.28s/it, lr=1e-5, step_loss=0.055, td=0.10s] 
Steps:   1%|          | 288/30000 [15:50<21:47:55,  2.64s/it, lr=1e-5, step_loss=0.055, td=0.10s]
Steps:   1%|          | 288/30000 [15:50<21:47:55,  2.64s/it, lr=1e-5, step_loss=0.0722, td=0.21s]12/12/2024 15:11:52 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:11:52 - INFO - __main__ - removing checkpoints: motion_module-279.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 289/30000 [15:57<32:58:41,  4.00s/it, lr=1e-5, step_loss=0.0722, td=0.21s]
Steps:   1%|          | 289/30000 [15:57<32:58:41,  4.00s/it, lr=1e-5, step_loss=0.0639, td=3.90s]
Steps:   1%|          | 290/30000 [15:59<27:24:44,  3.32s/it, lr=1e-5, step_loss=0.0639, td=3.90s]
Steps:   1%|          | 290/30000 [15:59<27:24:44,  3.32s/it, lr=1e-5, step_loss=0.0504, td=0.08s]
Steps:   1%|          | 291/30000 [16:00<21:59:43,  2.67s/it, lr=1e-5, step_loss=0.0504, td=0.08s]
Steps:   1%|          | 291/30000 [16:00<21:59:43,  2.67s/it, lr=1e-5, step_loss=0.0451, td=0.19s]12/12/2024 15:12:02 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:12:02 - INFO - __main__ - removing checkpoints: motion_module-282.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 292/30000 [16:07<32:09:59,  3.90s/it, lr=1e-5, step_loss=0.0451, td=0.19s]
Steps:   1%|          | 292/30000 [16:07<32:09:59,  3.90s/it, lr=1e-5, step_loss=0.0518, td=3.60s]
Steps:   1%|          | 293/30000 [16:09<26:51:13,  3.25s/it, lr=1e-5, step_loss=0.0518, td=3.60s]
Steps:   1%|          | 293/30000 [16:09<26:51:13,  3.25s/it, lr=1e-5, step_loss=0.0501, td=0.08s]
Steps:   1%|          | 294/30000 [16:10<21:36:22,  2.62s/it, lr=1e-5, step_loss=0.0501, td=0.08s]
Steps:   1%|          | 294/30000 [16:10<21:36:22,  2.62s/it, lr=1e-5, step_loss=0.0553, td=0.19s]12/12/2024 15:12:12 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:12:12 - INFO - __main__ - removing checkpoints: motion_module-285.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 295/30000 [16:17<32:27:08,  3.93s/it, lr=1e-5, step_loss=0.0553, td=0.19s]
Steps:   1%|          | 295/30000 [16:17<32:27:08,  3.93s/it, lr=1e-5, step_loss=0.0627, td=3.63s]
Steps:   1%|          | 296/30000 [16:19<27:03:19,  3.28s/it, lr=1e-5, step_loss=0.0627, td=3.63s]
Steps:   1%|          | 296/30000 [16:19<27:03:19,  3.28s/it, lr=1e-5, step_loss=0.0459, td=0.08s]
Steps:   1%|          | 297/30000 [16:20<21:42:43,  2.63s/it, lr=1e-5, step_loss=0.0459, td=0.08s]
Steps:   1%|          | 297/30000 [16:20<21:42:43,  2.63s/it, lr=1e-5, step_loss=0.0435, td=0.18s]12/12/2024 15:12:21 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:12:21 - INFO - __main__ - removing checkpoints: motion_module-288.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 298/30000 [16:27<32:38:20,  3.96s/it, lr=1e-5, step_loss=0.0435, td=0.18s]
Steps:   1%|          | 298/30000 [16:27<32:38:20,  3.96s/it, lr=1e-5, step_loss=0.0457, td=3.72s]
Steps:   1%|          | 299/30000 [16:29<27:10:39,  3.29s/it, lr=1e-5, step_loss=0.0457, td=3.72s]
Steps:   1%|          | 299/30000 [16:29<27:10:39,  3.29s/it, lr=1e-5, step_loss=0.0265, td=0.08s]
Steps:   1%|          | 300/30000 [16:30<21:49:43,  2.65s/it, lr=1e-5, step_loss=0.0265, td=0.08s]
Steps:   1%|          | 300/30000 [16:30<21:49:43,  2.65s/it, lr=1e-5, step_loss=0.119, td=0.19s] 12/12/2024 15:12:31 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:12:31 - INFO - __main__ - removing checkpoints: motion_module-291.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 301/30000 [16:37<32:56:48,  3.99s/it, lr=1e-5, step_loss=0.119, td=0.19s]
Steps:   1%|          | 301/30000 [16:37<32:56:48,  3.99s/it, lr=1e-5, step_loss=0.0633, td=3.84s]
Steps:   1%|          | 302/30000 [16:39<27:23:29,  3.32s/it, lr=1e-5, step_loss=0.0633, td=3.84s]
Steps:   1%|          | 302/30000 [16:39<27:23:29,  3.32s/it, lr=1e-5, step_loss=0.0257, td=0.08s]
Steps:   1%|          | 303/30000 [16:40<21:55:49,  2.66s/it, lr=1e-5, step_loss=0.0257, td=0.08s]
Steps:   1%|          | 303/30000 [16:40<21:55:49,  2.66s/it, lr=1e-5, step_loss=0.0634, td=0.17s]12/12/2024 15:12:41 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:12:41 - INFO - __main__ - removing checkpoints: motion_module-294.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 304/30000 [16:47<32:10:59,  3.90s/it, lr=1e-5, step_loss=0.0634, td=0.17s]
Steps:   1%|          | 304/30000 [16:47<32:10:59,  3.90s/it, lr=1e-5, step_loss=0.0526, td=3.60s]
Steps:   1%|          | 305/30000 [16:48<26:52:11,  3.26s/it, lr=1e-5, step_loss=0.0526, td=3.60s]
Steps:   1%|          | 305/30000 [16:48<26:52:11,  3.26s/it, lr=1e-5, step_loss=0.0543, td=0.08s]
Steps:   1%|          | 306/30000 [16:49<21:34:16,  2.62s/it, lr=1e-5, step_loss=0.0543, td=0.08s]
Steps:   1%|          | 306/30000 [16:49<21:34:16,  2.62s/it, lr=1e-5, step_loss=0.0196, td=0.18s]12/12/2024 15:12:51 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:12:51 - INFO - __main__ - removing checkpoints: motion_module-297.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 307/30000 [16:56<32:32:09,  3.94s/it, lr=1e-5, step_loss=0.0196, td=0.18s]
Steps:   1%|          | 307/30000 [16:57<32:32:09,  3.94s/it, lr=1e-5, step_loss=0.0601, td=3.78s]
Steps:   1%|          | 308/30000 [16:58<27:08:29,  3.29s/it, lr=1e-5, step_loss=0.0601, td=3.78s]
Steps:   1%|          | 308/30000 [16:58<27:08:29,  3.29s/it, lr=1e-5, step_loss=0.0457, td=0.09s]
Steps:   1%|          | 309/30000 [16:59<21:45:27,  2.64s/it, lr=1e-5, step_loss=0.0457, td=0.09s]
Steps:   1%|          | 309/30000 [16:59<21:45:27,  2.64s/it, lr=1e-5, step_loss=0.0634, td=0.17s]12/12/2024 15:13:01 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:13:01 - INFO - __main__ - removing checkpoints: motion_module-300.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 310/30000 [17:06<32:10:12,  3.90s/it, lr=1e-5, step_loss=0.0634, td=0.17s]
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Steps:   1%|          | 312/30000 [17:09<21:39:12,  2.63s/it, lr=1e-5, step_loss=0.0901, td=0.20s]12/12/2024 15:13:11 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:13:11 - INFO - __main__ - removing checkpoints: motion_module-303.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 313/30000 [17:16<32:07:49,  3.90s/it, lr=1e-5, step_loss=0.0901, td=0.20s]
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Steps:   1%|          | 315/30000 [17:19<21:31:15,  2.61s/it, lr=1e-5, step_loss=0.017, td=0.17s] 12/12/2024 15:13:20 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:13:20 - INFO - __main__ - removing checkpoints: motion_module-306.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 316/30000 [17:26<32:03:03,  3.89s/it, lr=1e-5, step_loss=0.017, td=0.17s]
Steps:   1%|          | 316/30000 [17:26<32:03:03,  3.89s/it, lr=1e-5, step_loss=0.0461, td=3.70s]
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+12/12/2024 15:13:30 - INFO - __main__ - removing checkpoints: motion_module-309.pth
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|          | 319/30000 [17:35<31:52:18,  3.87s/it, lr=1e-5, step_loss=0.0256, td=0.17s]
Steps:   1%|          | 319/30000 [17:35<31:52:18,  3.87s/it, lr=1e-5, step_loss=0.0511, td=3.63s]
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Steps:   1%|          | 320/30000 [17:37<26:38:27,  3.23s/it, lr=1e-5, step_loss=0.0476, td=0.08s]
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Steps:   1%|          | 321/30000 [17:38<21:24:34,  2.60s/it, lr=1e-5, step_loss=0.0281, td=0.18s]12/12/2024 15:13:40 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:13:40 - INFO - __main__ - removing checkpoints: motion_module-312.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 322/30000 [17:45<32:02:25,  3.89s/it, lr=1e-5, step_loss=0.0281, td=0.18s]
Steps:   1%|          | 322/30000 [17:45<32:02:25,  3.89s/it, lr=1e-5, step_loss=0.0491, td=3.71s]
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Steps:   1%|          | 323/30000 [17:47<26:44:46,  3.24s/it, lr=1e-5, step_loss=0.0427, td=0.08s]
Steps:   1%|          | 324/30000 [17:48<21:29:17,  2.61s/it, lr=1e-5, step_loss=0.0427, td=0.08s]
Steps:   1%|          | 324/30000 [17:48<21:29:17,  2.61s/it, lr=1e-5, step_loss=0.0548, td=0.18s]12/12/2024 15:13:50 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:13:50 - INFO - __main__ - removing checkpoints: motion_module-315.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 325/30000 [17:55<31:57:33,  3.88s/it, lr=1e-5, step_loss=0.0548, td=0.18s]
Steps:   1%|          | 325/30000 [17:55<31:57:33,  3.88s/it, lr=1e-5, step_loss=0.0297, td=3.57s]
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Steps:   1%|          | 326/30000 [17:57<26:43:58,  3.24s/it, lr=1e-5, step_loss=0.0764, td=0.09s]
Steps:   1%|          | 327/30000 [17:58<21:28:05,  2.60s/it, lr=1e-5, step_loss=0.0764, td=0.09s]
Steps:   1%|          | 327/30000 [17:58<21:28:05,  2.60s/it, lr=1e-5, step_loss=0.043, td=0.17s] 12/12/2024 15:13:59 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:13:59 - INFO - __main__ - removing checkpoints: motion_module-318.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 328/30000 [18:04<31:47:53,  3.86s/it, lr=1e-5, step_loss=0.043, td=0.17s]
Steps:   1%|          | 328/30000 [18:04<31:47:53,  3.86s/it, lr=1e-5, step_loss=0.0285, td=3.49s]
Steps:   1%|          | 329/30000 [18:06<26:35:21,  3.23s/it, lr=1e-5, step_loss=0.0285, td=3.49s]
Steps:   1%|          | 329/30000 [18:06<26:35:21,  3.23s/it, lr=1e-5, step_loss=0.0285, td=0.08s]
Steps:   1%|          | 330/30000 [18:07<21:22:11,  2.59s/it, lr=1e-5, step_loss=0.0285, td=0.08s]
Steps:   1%|          | 330/30000 [18:07<21:22:11,  2.59s/it, lr=1e-5, step_loss=0.0772, td=0.18s]12/12/2024 15:14:09 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:14:09 - INFO - __main__ - removing checkpoints: motion_module-321.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 331/30000 [18:14<32:30:38,  3.94s/it, lr=1e-5, step_loss=0.0772, td=0.18s]
Steps:   1%|          | 331/30000 [18:14<32:30:38,  3.94s/it, lr=1e-5, step_loss=0.0319, td=3.63s]
Steps:   1%|          | 332/30000 [18:16<27:04:19,  3.29s/it, lr=1e-5, step_loss=0.0319, td=3.63s]
Steps:   1%|          | 332/30000 [18:16<27:04:19,  3.29s/it, lr=1e-5, step_loss=0.0461, td=0.08s]
Steps:   1%|          | 333/30000 [18:17<21:44:27,  2.64s/it, lr=1e-5, step_loss=0.0461, td=0.08s]
Steps:   1%|          | 333/30000 [18:17<21:44:27,  2.64s/it, lr=1e-5, step_loss=0.112, td=0.17s] 12/12/2024 15:14:19 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:14:19 - INFO - __main__ - removing checkpoints: motion_module-324.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 334/30000 [18:24<32:29:00,  3.94s/it, lr=1e-5, step_loss=0.112, td=0.17s]
Steps:   1%|          | 334/30000 [18:24<32:29:00,  3.94s/it, lr=1e-5, step_loss=0.077, td=3.66s]
Steps:   1%|          | 335/30000 [18:26<26:48:40,  3.25s/it, lr=1e-5, step_loss=0.077, td=3.66s]
Steps:   1%|          | 335/30000 [18:26<26:48:40,  3.25s/it, lr=1e-5, step_loss=0.0601, td=0.09s]
Steps:   1%|          | 336/30000 [18:27<21:38:26,  2.63s/it, lr=1e-5, step_loss=0.0601, td=0.09s]
Steps:   1%|          | 336/30000 [18:27<21:38:26,  2.63s/it, lr=1e-5, step_loss=0.0196, td=0.21s]12/12/2024 15:14:29 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:14:29 - INFO - __main__ - removing checkpoints: motion_module-327.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 337/30000 [18:34<32:34:54,  3.95s/it, lr=1e-5, step_loss=0.0196, td=0.21s]
Steps:   1%|          | 337/30000 [18:34<32:34:54,  3.95s/it, lr=1e-5, step_loss=0.0471, td=3.71s]
Steps:   1%|          | 338/30000 [18:36<27:10:18,  3.30s/it, lr=1e-5, step_loss=0.0471, td=3.71s]
Steps:   1%|          | 338/30000 [18:36<27:10:18,  3.30s/it, lr=1e-5, step_loss=0.0486, td=0.10s]
Steps:   1%|          | 339/30000 [18:37<21:38:53,  2.63s/it, lr=1e-5, step_loss=0.0486, td=0.10s]
Steps:   1%|          | 339/30000 [18:37<21:38:53,  2.63s/it, lr=1e-5, step_loss=0.108, td=0.21s] 12/12/2024 15:14:39 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:14:39 - INFO - __main__ - removing checkpoints: motion_module-330.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|          | 340/30000 [18:44<31:37:49,  3.84s/it, lr=1e-5, step_loss=0.108, td=0.21s]
Steps:   1%|          | 340/30000 [18:44<31:37:49,  3.84s/it, lr=1e-5, step_loss=0.0235, td=3.49s]
Steps:   1%|          | 341/30000 [18:45<26:29:24,  3.22s/it, lr=1e-5, step_loss=0.0235, td=3.49s]
Steps:   1%|          | 341/30000 [18:45<26:29:24,  3.22s/it, lr=1e-5, step_loss=0.0632, td=0.08s]
Steps:   1%|          | 342/30000 [18:47<21:18:34,  2.59s/it, lr=1e-5, step_loss=0.0632, td=0.08s]
Steps:   1%|          | 342/30000 [18:47<21:18:34,  2.59s/it, lr=1e-5, step_loss=0.0725, td=0.17s]12/12/2024 15:14:48 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:14:48 - INFO - __main__ - removing checkpoints: motion_module-333.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 343/30000 [18:53<31:42:42,  3.85s/it, lr=1e-5, step_loss=0.0725, td=0.17s]
Steps:   1%|          | 343/30000 [18:53<31:42:42,  3.85s/it, lr=1e-5, step_loss=0.0302, td=3.60s]
Steps:   1%|          | 344/30000 [18:55<26:31:35,  3.22s/it, lr=1e-5, step_loss=0.0302, td=3.60s]
Steps:   1%|          | 344/30000 [18:55<26:31:35,  3.22s/it, lr=1e-5, step_loss=0.0357, td=0.08s]
Steps:   1%|          | 345/30000 [18:56<21:18:47,  2.59s/it, lr=1e-5, step_loss=0.0357, td=0.08s]
Steps:   1%|          | 345/30000 [18:56<21:18:47,  2.59s/it, lr=1e-5, step_loss=0.0524, td=0.17s]12/12/2024 15:14:58 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:14:58 - INFO - __main__ - removing checkpoints: motion_module-336.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 346/30000 [19:03<31:47:23,  3.86s/it, lr=1e-5, step_loss=0.0524, td=0.17s]
Steps:   1%|          | 346/30000 [19:03<31:47:23,  3.86s/it, lr=1e-5, step_loss=0.0371, td=3.53s]
Steps:   1%|          | 347/30000 [19:05<26:34:37,  3.23s/it, lr=1e-5, step_loss=0.0371, td=3.53s]
Steps:   1%|          | 347/30000 [19:05<26:34:37,  3.23s/it, lr=1e-5, step_loss=0.0615, td=0.08s]
Steps:   1%|          | 348/30000 [19:06<21:09:47,  2.57s/it, lr=1e-5, step_loss=0.0615, td=0.08s]
Steps:   1%|          | 348/30000 [19:06<21:09:47,  2.57s/it, lr=1e-5, step_loss=0.0611, td=0.18s]12/12/2024 15:15:07 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:15:07 - INFO - __main__ - removing checkpoints: motion_module-339.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|          | 349/30000 [19:13<32:25:09,  3.94s/it, lr=1e-5, step_loss=0.0611, td=0.18s]
Steps:   1%|          | 349/30000 [19:13<32:25:09,  3.94s/it, lr=1e-5, step_loss=0.038, td=3.93s] 
Steps:   1%|          | 350/30000 [19:15<27:00:21,  3.28s/it, lr=1e-5, step_loss=0.038, td=3.93s]
Steps:   1%|          | 350/30000 [19:15<27:00:21,  3.28s/it, lr=1e-5, step_loss=0.0545, td=0.08s]
Steps:   1%|          | 351/30000 [19:16<21:39:19,  2.63s/it, lr=1e-5, step_loss=0.0545, td=0.08s]
Steps:   1%|          | 351/30000 [19:16<21:39:19,  2.63s/it, lr=1e-5, step_loss=0.0487, td=0.17s]12/12/2024 15:15:17 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:15:17 - INFO - __main__ - removing checkpoints: motion_module-342.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 352/30000 [19:23<32:24:45,  3.94s/it, lr=1e-5, step_loss=0.0487, td=0.17s]
Steps:   1%|          | 352/30000 [19:23<32:24:45,  3.94s/it, lr=1e-5, step_loss=0.0327, td=3.65s]
Steps:   1%|          | 353/30000 [19:25<27:01:59,  3.28s/it, lr=1e-5, step_loss=0.0327, td=3.65s]
Steps:   1%|          | 353/30000 [19:25<27:01:59,  3.28s/it, lr=1e-5, step_loss=0.0793, td=0.09s]
Steps:   1%|          | 354/30000 [19:26<21:44:54,  2.64s/it, lr=1e-5, step_loss=0.0793, td=0.09s]
Steps:   1%|          | 354/30000 [19:26<21:44:54,  2.64s/it, lr=1e-5, step_loss=0.0355, td=0.20s]12/12/2024 15:15:27 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:15:27 - INFO - __main__ - removing checkpoints: motion_module-345.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 355/30000 [19:33<33:10:18,  4.03s/it, lr=1e-5, step_loss=0.0355, td=0.20s]
Steps:   1%|          | 355/30000 [19:33<33:10:18,  4.03s/it, lr=1e-5, step_loss=0.0295, td=3.83s]
Steps:   1%|          | 356/30000 [19:35<27:36:12,  3.35s/it, lr=1e-5, step_loss=0.0295, td=3.83s]
Steps:   1%|          | 356/30000 [19:35<27:36:12,  3.35s/it, lr=1e-5, step_loss=0.05, td=0.10s]  
Steps:   1%|          | 357/30000 [19:36<22:04:57,  2.68s/it, lr=1e-5, step_loss=0.05, td=0.10s]
Steps:   1%|          | 357/30000 [19:36<22:04:57,  2.68s/it, lr=1e-5, step_loss=0.0614, td=0.17s]12/12/2024 15:15:37 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:15:37 - INFO - __main__ - removing checkpoints: motion_module-348.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 358/30000 [19:43<32:35:53,  3.96s/it, lr=1e-5, step_loss=0.0614, td=0.17s]
Steps:   1%|          | 358/30000 [19:43<32:35:53,  3.96s/it, lr=1e-5, step_loss=0.0379, td=3.65s]
Steps:   1%|          | 359/30000 [19:44<27:08:39,  3.30s/it, lr=1e-5, step_loss=0.0379, td=3.65s]
Steps:   1%|          | 359/30000 [19:44<27:08:39,  3.30s/it, lr=1e-5, step_loss=0.0676, td=0.08s]
Steps:   1%|          | 360/30000 [19:46<21:54:56,  2.66s/it, lr=1e-5, step_loss=0.0676, td=0.08s]
Steps:   1%|          | 360/30000 [19:46<21:54:56,  2.66s/it, lr=1e-5, step_loss=0.061, td=0.24s] 12/12/2024 15:15:47 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:15:47 - INFO - __main__ - removing checkpoints: motion_module-351.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 361/30000 [19:53<32:36:37,  3.96s/it, lr=1e-5, step_loss=0.061, td=0.24s]
Steps:   1%|          | 361/30000 [19:53<32:36:37,  3.96s/it, lr=1e-5, step_loss=0.0594, td=3.76s]
Steps:   1%|          | 362/30000 [19:54<27:10:21,  3.30s/it, lr=1e-5, step_loss=0.0594, td=3.76s]
Steps:   1%|          | 362/30000 [19:54<27:10:21,  3.30s/it, lr=1e-5, step_loss=0.0796, td=0.09s]
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Steps:   1%|          | 363/30000 [19:56<21:46:23,  2.64s/it, lr=1e-5, step_loss=0.0391, td=0.17s]12/12/2024 15:15:57 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:15:57 - INFO - __main__ - removing checkpoints: motion_module-354.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 364/30000 [20:03<32:27:21,  3.94s/it, lr=1e-5, step_loss=0.0391, td=0.17s]
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Steps:   1%|          | 366/30000 [20:05<21:30:13,  2.61s/it, lr=1e-5, step_loss=0.0153, td=0.17s]12/12/2024 15:16:07 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:16:07 - INFO - __main__ - removing checkpoints: motion_module-357.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
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Steps:   1%|          | 369/30000 [20:15<21:58:28,  2.67s/it, lr=1e-5, step_loss=0.0548, td=0.18s]12/12/2024 15:16:17 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:16:17 - INFO - __main__ - removing checkpoints: motion_module-360.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 370/30000 [20:22<32:40:23,  3.97s/it, lr=1e-5, step_loss=0.0548, td=0.18s]
Steps:   1%|          | 370/30000 [20:22<32:40:23,  3.97s/it, lr=1e-5, step_loss=0.0763, td=3.73s]
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Steps:   1%|          | 371/30000 [20:24<27:12:54,  3.31s/it, lr=1e-5, step_loss=0.0406, td=0.09s]
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Steps:   1%|          | 372/30000 [20:25<21:47:41,  2.65s/it, lr=1e-5, step_loss=0.0382, td=0.17s]12/12/2024 15:16:27 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:16:27 - INFO - __main__ - removing checkpoints: motion_module-363.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 373/30000 [20:32<32:30:23,  3.95s/it, lr=1e-5, step_loss=0.0382, td=0.17s]
Steps:   1%|          | 373/30000 [20:32<32:30:23,  3.95s/it, lr=1e-5, step_loss=0.0651, td=3.66s]
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+12/12/2024 15:16:37 - INFO - __main__ - removing checkpoints: motion_module-366.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
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+12/12/2024 15:16:46 - INFO - __main__ - removing checkpoints: motion_module-369.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 379/30000 [20:52<32:16:30,  3.92s/it, lr=1e-5, step_loss=0.0342, td=0.21s]
Steps:   1%|▏         | 379/30000 [20:52<32:16:30,  3.92s/it, lr=1e-5, step_loss=0.0692, td=3.74s]
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Steps:   1%|▏         | 381/30000 [20:55<21:36:32,  2.63s/it, lr=1e-5, step_loss=0.0201, td=0.17s]12/12/2024 15:16:56 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:16:56 - INFO - __main__ - removing checkpoints: motion_module-372.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 382/30000 [21:02<32:23:53,  3.94s/it, lr=1e-5, step_loss=0.0201, td=0.17s]
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Steps:   1%|▏         | 384/30000 [21:05<21:40:34,  2.63s/it, lr=1e-5, step_loss=0.023, td=0.18s] 12/12/2024 15:17:06 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:17:06 - INFO - __main__ - removing checkpoints: motion_module-375.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 385/30000 [21:12<33:04:45,  4.02s/it, lr=1e-5, step_loss=0.023, td=0.18s]
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Steps:   1%|▏         | 387/30000 [21:15<21:59:30,  2.67s/it, lr=1e-5, step_loss=0.0505, td=0.08s]
Steps:   1%|▏         | 387/30000 [21:15<21:59:30,  2.67s/it, lr=1e-5, step_loss=0.0672, td=0.17s]12/12/2024 15:17:16 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:17:16 - INFO - __main__ - removing checkpoints: motion_module-378.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 388/30000 [21:22<32:28:11,  3.95s/it, lr=1e-5, step_loss=0.0672, td=0.17s]
Steps:   1%|▏         | 388/30000 [21:22<32:28:11,  3.95s/it, lr=1e-5, step_loss=0.0188, td=3.70s]
Steps:   1%|▏         | 389/30000 [21:23<27:07:24,  3.30s/it, lr=1e-5, step_loss=0.0188, td=3.70s]
Steps:   1%|▏         | 389/30000 [21:23<27:07:24,  3.30s/it, lr=1e-5, step_loss=0.0552, td=0.11s]
Steps:   1%|▏         | 390/30000 [21:25<21:49:08,  2.65s/it, lr=1e-5, step_loss=0.0552, td=0.11s]
Steps:   1%|▏         | 390/30000 [21:25<21:49:08,  2.65s/it, lr=1e-5, step_loss=0.0425, td=0.20s]12/12/2024 15:17:26 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:17:26 - INFO - __main__ - removing checkpoints: motion_module-381.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 391/30000 [21:31<31:49:11,  3.87s/it, lr=1e-5, step_loss=0.0425, td=0.20s]
Steps:   1%|▏         | 391/30000 [21:31<31:49:11,  3.87s/it, lr=1e-5, step_loss=0.035, td=3.54s] 
Steps:   1%|▏         | 392/30000 [21:33<26:36:42,  3.24s/it, lr=1e-5, step_loss=0.035, td=3.54s]
Steps:   1%|▏         | 392/30000 [21:33<26:36:42,  3.24s/it, lr=1e-5, step_loss=0.051, td=0.09s]
Steps:   1%|▏         | 393/30000 [21:34<21:26:15,  2.61s/it, lr=1e-5, step_loss=0.051, td=0.09s]
Steps:   1%|▏         | 393/30000 [21:34<21:26:15,  2.61s/it, lr=1e-5, step_loss=0.0616, td=0.20s]12/12/2024 15:17:36 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:17:36 - INFO - __main__ - removing checkpoints: motion_module-384.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 394/30000 [21:41<32:36:41,  3.97s/it, lr=1e-5, step_loss=0.0616, td=0.20s]
Steps:   1%|▏         | 394/30000 [21:41<32:36:41,  3.97s/it, lr=1e-5, step_loss=0.0569, td=3.94s]
Steps:   1%|▏         | 395/30000 [21:43<27:08:40,  3.30s/it, lr=1e-5, step_loss=0.0569, td=3.94s]
Steps:   1%|▏         | 395/30000 [21:43<27:08:40,  3.30s/it, lr=1e-5, step_loss=0.0458, td=0.08s]
Steps:   1%|▏         | 396/30000 [21:44<21:47:19,  2.65s/it, lr=1e-5, step_loss=0.0458, td=0.08s]
Steps:   1%|▏         | 396/30000 [21:44<21:47:19,  2.65s/it, lr=1e-5, step_loss=0.0412, td=0.19s]12/12/2024 15:17:46 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:17:46 - INFO - __main__ - removing checkpoints: motion_module-387.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 397/30000 [21:51<32:25:43,  3.94s/it, lr=1e-5, step_loss=0.0412, td=0.19s]
Steps:   1%|▏         | 397/30000 [21:51<32:25:43,  3.94s/it, lr=1e-5, step_loss=0.0734, td=3.73s]
Steps:   1%|▏         | 398/30000 [21:53<27:02:03,  3.29s/it, lr=1e-5, step_loss=0.0734, td=3.73s]
Steps:   1%|▏         | 398/30000 [21:53<27:02:03,  3.29s/it, lr=1e-5, step_loss=0.027, td=0.09s] 
Steps:   1%|▏         | 399/30000 [21:54<21:43:50,  2.64s/it, lr=1e-5, step_loss=0.027, td=0.09s]
Steps:   1%|▏         | 399/30000 [21:54<21:43:50,  2.64s/it, lr=1e-5, step_loss=0.045, td=0.20s]12/12/2024 15:17:56 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:17:56 - INFO - __main__ - removing checkpoints: motion_module-390.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 400/30000 [22:02<33:57:04,  4.13s/it, lr=1e-5, step_loss=0.045, td=0.20s]12/12/2024 15:18:03 - INFO - __main__ - Running validation... 
+sample torch.Size([4, 5, 32, 32])
+
+
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+
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+
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+
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+
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+
100%|██████████| 20/20 [00:03<00:00,  5.71it/s]
100%|██████████| 20/20 [00:03<00:00,  5.64it/s]
+sample torch.Size([2, 5, 32, 32])
+
+
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+
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100%|██████████| 24/24 [00:00<00:00, 119.91it/s]
+
Steps:   1%|▏         | 400/30000 [22:08<33:57:04,  4.13s/it, lr=1e-5, step_loss=0.0163, td=4.28s]
Steps:   1%|▏         | 401/30000 [22:10<45:04:09,  5.48s/it, lr=1e-5, step_loss=0.0163, td=4.28s]
Steps:   1%|▏         | 401/30000 [22:10<45:04:09,  5.48s/it, lr=1e-5, step_loss=0.065, td=0.22s] 
Steps:   1%|▏         | 402/30000 [22:11<34:22:50,  4.18s/it, lr=1e-5, step_loss=0.065, td=0.22s]
Steps:   1%|▏         | 402/30000 [22:11<34:22:50,  4.18s/it, lr=1e-5, step_loss=0.0651, td=0.19s]12/12/2024 15:18:13 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:18:13 - INFO - __main__ - removing checkpoints: motion_module-393.pth
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 403/30000 [22:18<41:04:15,  5.00s/it, lr=1e-5, step_loss=0.0651, td=0.19s]
Steps:   1%|▏         | 403/30000 [22:18<41:04:15,  5.00s/it, lr=1e-5, step_loss=0.0682, td=3.67s]
Steps:   1%|▏         | 404/30000 [22:20<33:09:31,  4.03s/it, lr=1e-5, step_loss=0.0682, td=3.67s]
Steps:   1%|▏         | 404/30000 [22:20<33:09:31,  4.03s/it, lr=1e-5, step_loss=0.0356, td=0.09s]
Steps:   1%|▏         | 405/30000 [22:21<25:59:55,  3.16s/it, lr=1e-5, step_loss=0.0356, td=0.09s]
Steps:   1%|▏         | 405/30000 [22:21<25:59:55,  3.16s/it, lr=1e-5, step_loss=0.0193, td=0.17s]12/12/2024 15:18:23 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:18:23 - INFO - __main__ - removing checkpoints: motion_module-396.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 406/30000 [22:28<35:15:10,  4.29s/it, lr=1e-5, step_loss=0.0193, td=0.17s]
Steps:   1%|▏         | 406/30000 [22:28<35:15:10,  4.29s/it, lr=1e-5, step_loss=0.0349, td=3.63s]
Steps:   1%|▏         | 407/30000 [22:30<29:05:24,  3.54s/it, lr=1e-5, step_loss=0.0349, td=3.63s]
Steps:   1%|▏         | 407/30000 [22:30<29:05:24,  3.54s/it, lr=1e-5, step_loss=0.077, td=0.09s] 
Steps:   1%|▏         | 408/30000 [22:31<23:10:19,  2.82s/it, lr=1e-5, step_loss=0.077, td=0.09s]
Steps:   1%|▏         | 408/30000 [22:31<23:10:19,  2.82s/it, lr=1e-5, step_loss=0.027, td=0.18s]12/12/2024 15:18:33 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:18:33 - INFO - __main__ - removing checkpoints: motion_module-399.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 409/30000 [22:38<33:04:48,  4.02s/it, lr=1e-5, step_loss=0.027, td=0.18s]
Steps:   1%|▏         | 409/30000 [22:38<33:04:48,  4.02s/it, lr=1e-5, step_loss=0.0383, td=3.58s]
Steps:   1%|▏         | 410/30000 [22:40<27:33:38,  3.35s/it, lr=1e-5, step_loss=0.0383, td=3.58s]
Steps:   1%|▏         | 410/30000 [22:40<27:33:38,  3.35s/it, lr=1e-5, step_loss=0.0399, td=0.09s]
Steps:   1%|▏         | 411/30000 [22:41<22:05:29,  2.69s/it, lr=1e-5, step_loss=0.0399, td=0.09s]
Steps:   1%|▏         | 411/30000 [22:41<22:05:29,  2.69s/it, lr=1e-5, step_loss=0.0663, td=0.17s]12/12/2024 15:18:42 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:18:42 - INFO - __main__ - removing checkpoints: motion_module-402.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 412/30000 [22:48<33:05:56,  4.03s/it, lr=1e-5, step_loss=0.0663, td=0.17s]
Steps:   1%|▏         | 412/30000 [22:48<33:05:56,  4.03s/it, lr=1e-5, step_loss=0.047, td=3.73s] 
Steps:   1%|▏         | 413/30000 [22:50<27:34:41,  3.36s/it, lr=1e-5, step_loss=0.047, td=3.73s]
Steps:   1%|▏         | 413/30000 [22:50<27:34:41,  3.36s/it, lr=1e-5, step_loss=0.0371, td=0.09s]
Steps:   1%|▏         | 414/30000 [22:51<22:05:50,  2.69s/it, lr=1e-5, step_loss=0.0371, td=0.09s]
Steps:   1%|▏         | 414/30000 [22:51<22:05:50,  2.69s/it, lr=1e-5, step_loss=0.0369, td=0.18s]12/12/2024 15:18:53 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:18:53 - INFO - __main__ - removing checkpoints: motion_module-405.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 415/30000 [22:58<32:19:49,  3.93s/it, lr=1e-5, step_loss=0.0369, td=0.18s]
Steps:   1%|▏         | 415/30000 [22:58<32:19:49,  3.93s/it, lr=1e-5, step_loss=0.0266, td=3.63s]
Steps:   1%|▏         | 416/30000 [23:00<27:03:18,  3.29s/it, lr=1e-5, step_loss=0.0266, td=3.63s]
Steps:   1%|▏         | 416/30000 [23:00<27:03:18,  3.29s/it, lr=1e-5, step_loss=0.0367, td=0.09s]
Steps:   1%|▏         | 417/30000 [23:01<21:51:07,  2.66s/it, lr=1e-5, step_loss=0.0367, td=0.09s]
Steps:   1%|▏         | 417/30000 [23:01<21:51:07,  2.66s/it, lr=1e-5, step_loss=0.0755, td=0.22s]12/12/2024 15:19:02 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:19:02 - INFO - __main__ - removing checkpoints: motion_module-408.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 418/30000 [23:08<33:04:26,  4.02s/it, lr=1e-5, step_loss=0.0755, td=0.22s]
Steps:   1%|▏         | 418/30000 [23:08<33:04:26,  4.02s/it, lr=1e-5, step_loss=0.0669, td=3.89s]
Steps:   1%|▏         | 419/30000 [23:10<27:35:06,  3.36s/it, lr=1e-5, step_loss=0.0669, td=3.89s]
Steps:   1%|▏         | 419/30000 [23:10<27:35:06,  3.36s/it, lr=1e-5, step_loss=0.0269, td=0.09s]
Steps:   1%|▏         | 420/30000 [23:11<22:10:37,  2.70s/it, lr=1e-5, step_loss=0.0269, td=0.09s]
Steps:   1%|▏         | 420/30000 [23:11<22:10:37,  2.70s/it, lr=1e-5, step_loss=0.0198, td=0.20s]12/12/2024 15:19:13 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:19:13 - INFO - __main__ - removing checkpoints: motion_module-411.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 421/30000 [23:18<32:18:15,  3.93s/it, lr=1e-5, step_loss=0.0198, td=0.20s]
Steps:   1%|▏         | 421/30000 [23:18<32:18:15,  3.93s/it, lr=1e-5, step_loss=0.0235, td=3.60s]
Steps:   1%|▏         | 422/30000 [23:20<27:01:09,  3.29s/it, lr=1e-5, step_loss=0.0235, td=3.60s]
Steps:   1%|▏         | 422/30000 [23:20<27:01:09,  3.29s/it, lr=1e-5, step_loss=0.0305, td=0.08s]
Steps:   1%|▏         | 423/30000 [23:21<21:50:06,  2.66s/it, lr=1e-5, step_loss=0.0305, td=0.08s]
Steps:   1%|▏         | 423/30000 [23:21<21:50:06,  2.66s/it, lr=1e-5, step_loss=0.0768, td=0.23s]12/12/2024 15:19:22 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:19:22 - INFO - __main__ - removing checkpoints: motion_module-414.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 424/30000 [23:28<33:06:06,  4.03s/it, lr=1e-5, step_loss=0.0768, td=0.23s]
Steps:   1%|▏         | 424/30000 [23:28<33:06:06,  4.03s/it, lr=1e-5, step_loss=0.0642, td=3.92s]
Steps:   1%|▏         | 425/30000 [23:30<27:33:57,  3.36s/it, lr=1e-5, step_loss=0.0642, td=3.92s]
Steps:   1%|▏         | 425/30000 [23:30<27:33:57,  3.36s/it, lr=1e-5, step_loss=0.0282, td=0.08s]
Steps:   1%|▏         | 426/30000 [23:31<22:17:33,  2.71s/it, lr=1e-5, step_loss=0.0282, td=0.08s]
Steps:   1%|▏         | 426/30000 [23:31<22:17:33,  2.71s/it, lr=1e-5, step_loss=0.0705, td=0.25s]12/12/2024 15:19:33 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:19:33 - INFO - __main__ - removing checkpoints: motion_module-417.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 427/30000 [23:38<32:39:24,  3.98s/it, lr=1e-5, step_loss=0.0705, td=0.25s]
Steps:   1%|▏         | 427/30000 [23:38<32:39:24,  3.98s/it, lr=1e-5, step_loss=0.0507, td=3.52s]
Steps:   1%|▏         | 428/30000 [23:40<27:16:09,  3.32s/it, lr=1e-5, step_loss=0.0507, td=3.52s]
Steps:   1%|▏         | 428/30000 [23:40<27:16:09,  3.32s/it, lr=1e-5, step_loss=0.0396, td=0.08s]
Steps:   1%|▏         | 429/30000 [23:41<21:43:14,  2.64s/it, lr=1e-5, step_loss=0.0396, td=0.08s]
Steps:   1%|▏         | 429/30000 [23:41<21:43:14,  2.64s/it, lr=1e-5, step_loss=0.0204, td=0.19s]12/12/2024 15:19:42 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:19:42 - INFO - __main__ - removing checkpoints: motion_module-420.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|▏         | 430/30000 [23:48<32:04:22,  3.90s/it, lr=1e-5, step_loss=0.0204, td=0.19s]
Steps:   1%|▏         | 430/30000 [23:48<32:04:22,  3.90s/it, lr=1e-5, step_loss=0.0502, td=3.63s]
Steps:   1%|▏         | 431/30000 [23:49<26:51:47,  3.27s/it, lr=1e-5, step_loss=0.0502, td=3.63s]
Steps:   1%|▏         | 431/30000 [23:49<26:51:47,  3.27s/it, lr=1e-5, step_loss=0.0329, td=0.09s]
Steps:   1%|▏         | 432/30000 [23:51<21:42:49,  2.64s/it, lr=1e-5, step_loss=0.0329, td=0.09s]
Steps:   1%|▏         | 432/30000 [23:51<21:42:49,  2.64s/it, lr=1e-5, step_loss=0.0517, td=0.22s]12/12/2024 15:19:52 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:19:52 - INFO - __main__ - removing checkpoints: motion_module-423.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 433/30000 [23:57<32:17:56,  3.93s/it, lr=1e-5, step_loss=0.0517, td=0.22s]
Steps:   1%|▏         | 433/30000 [23:57<32:17:56,  3.93s/it, lr=1e-5, step_loss=0.0467, td=3.53s]
Steps:   1%|▏         | 434/30000 [23:59<27:02:10,  3.29s/it, lr=1e-5, step_loss=0.0467, td=3.53s]
Steps:   1%|▏         | 434/30000 [23:59<27:02:10,  3.29s/it, lr=1e-5, step_loss=0.0277, td=0.09s]
Steps:   1%|▏         | 435/30000 [24:00<21:33:47,  2.63s/it, lr=1e-5, step_loss=0.0277, td=0.09s]
Steps:   1%|▏         | 435/30000 [24:00<21:33:47,  2.63s/it, lr=1e-5, step_loss=0.06, td=0.19s]  12/12/2024 15:20:02 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:20:02 - INFO - __main__ - removing checkpoints: motion_module-426.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|▏         | 436/30000 [24:07<32:06:00,  3.91s/it, lr=1e-5, step_loss=0.06, td=0.19s]
Steps:   1%|▏         | 436/30000 [24:07<32:06:00,  3.91s/it, lr=1e-5, step_loss=0.0356, td=3.60s]
Steps:   1%|▏         | 437/30000 [24:09<26:59:42,  3.29s/it, lr=1e-5, step_loss=0.0356, td=3.60s]
Steps:   1%|▏         | 437/30000 [24:09<26:59:42,  3.29s/it, lr=1e-5, step_loss=0.0572, td=0.12s]
Steps:   1%|▏         | 438/30000 [24:10<21:47:01,  2.65s/it, lr=1e-5, step_loss=0.0572, td=0.12s]
Steps:   1%|▏         | 438/30000 [24:10<21:47:01,  2.65s/it, lr=1e-5, step_loss=0.0199, td=0.21s]12/12/2024 15:20:12 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:20:12 - INFO - __main__ - removing checkpoints: motion_module-429.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 439/30000 [24:17<32:41:35,  3.98s/it, lr=1e-5, step_loss=0.0199, td=0.21s]
Steps:   1%|▏         | 439/30000 [24:17<32:41:35,  3.98s/it, lr=1e-5, step_loss=0.0431, td=3.73s]
Steps:   1%|▏         | 440/30000 [24:19<27:19:16,  3.33s/it, lr=1e-5, step_loss=0.0431, td=3.73s]
Steps:   1%|▏         | 440/30000 [24:19<27:19:16,  3.33s/it, lr=1e-5, step_loss=0.0331, td=0.09s]
Steps:   1%|▏         | 441/30000 [24:20<21:57:42,  2.67s/it, lr=1e-5, step_loss=0.0331, td=0.09s]
Steps:   1%|▏         | 441/30000 [24:20<21:57:42,  2.67s/it, lr=1e-5, step_loss=0.0424, td=0.19s]12/12/2024 15:20:22 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:20:22 - INFO - __main__ - removing checkpoints: motion_module-432.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 442/30000 [24:27<32:04:48,  3.91s/it, lr=1e-5, step_loss=0.0424, td=0.19s]
Steps:   1%|▏         | 442/30000 [24:27<32:04:48,  3.91s/it, lr=1e-5, step_loss=0.0483, td=3.69s]
Steps:   1%|▏         | 443/30000 [24:29<26:54:15,  3.28s/it, lr=1e-5, step_loss=0.0483, td=3.69s]
Steps:   1%|▏         | 443/30000 [24:29<26:54:15,  3.28s/it, lr=1e-5, step_loss=0.0259, td=0.10s]
Steps:   1%|▏         | 444/30000 [24:30<21:41:09,  2.64s/it, lr=1e-5, step_loss=0.0259, td=0.10s]
Steps:   1%|▏         | 444/30000 [24:30<21:41:09,  2.64s/it, lr=1e-5, step_loss=0.063, td=0.20s] 12/12/2024 15:20:32 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:20:32 - INFO - __main__ - removing checkpoints: motion_module-435.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 445/30000 [24:37<32:46:24,  3.99s/it, lr=1e-5, step_loss=0.063, td=0.20s]
Steps:   1%|▏         | 445/30000 [24:37<32:46:24,  3.99s/it, lr=1e-5, step_loss=0.068, td=3.79s]
Steps:   1%|▏         | 446/30000 [24:39<27:26:34,  3.34s/it, lr=1e-5, step_loss=0.068, td=3.79s]
Steps:   1%|▏         | 446/30000 [24:39<27:26:34,  3.34s/it, lr=1e-5, step_loss=0.0328, td=0.11s]
Steps:   1%|▏         | 447/30000 [24:40<22:03:07,  2.69s/it, lr=1e-5, step_loss=0.0328, td=0.11s]
Steps:   1%|▏         | 447/30000 [24:40<22:03:07,  2.69s/it, lr=1e-5, step_loss=0.0108, td=0.19s]12/12/2024 15:20:42 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:20:42 - INFO - __main__ - removing checkpoints: motion_module-438.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 448/30000 [24:47<32:42:34,  3.98s/it, lr=1e-5, step_loss=0.0108, td=0.19s]
Steps:   1%|▏         | 448/30000 [24:47<32:42:34,  3.98s/it, lr=1e-5, step_loss=0.0463, td=3.78s]
Steps:   1%|▏         | 449/30000 [24:49<27:17:59,  3.33s/it, lr=1e-5, step_loss=0.0463, td=3.78s]
Steps:   1%|▏         | 449/30000 [24:49<27:17:59,  3.33s/it, lr=1e-5, step_loss=0.0463, td=0.08s]
Steps:   2%|▏         | 450/30000 [24:50<21:54:24,  2.67s/it, lr=1e-5, step_loss=0.0463, td=0.08s]
Steps:   2%|▏         | 450/30000 [24:50<21:54:24,  2.67s/it, lr=1e-5, step_loss=0.0275, td=0.17s]12/12/2024 15:20:52 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:20:52 - INFO - __main__ - removing checkpoints: motion_module-441.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 451/30000 [24:57<32:00:09,  3.90s/it, lr=1e-5, step_loss=0.0275, td=0.17s]
Steps:   2%|▏         | 451/30000 [24:57<32:00:09,  3.90s/it, lr=1e-5, step_loss=0.0467, td=3.53s]
Steps:   2%|▏         | 452/30000 [24:59<26:47:10,  3.26s/it, lr=1e-5, step_loss=0.0467, td=3.53s]
Steps:   2%|▏         | 452/30000 [24:59<26:47:10,  3.26s/it, lr=1e-5, step_loss=0.0253, td=0.08s]
Steps:   2%|▏         | 453/30000 [25:00<21:31:50,  2.62s/it, lr=1e-5, step_loss=0.0253, td=0.08s]
Steps:   2%|▏         | 453/30000 [25:00<21:31:50,  2.62s/it, lr=1e-5, step_loss=0.059, td=0.17s] 12/12/2024 15:21:01 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:21:01 - INFO - __main__ - removing checkpoints: motion_module-444.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 454/30000 [25:07<32:03:18,  3.91s/it, lr=1e-5, step_loss=0.059, td=0.17s]
Steps:   2%|▏         | 454/30000 [25:07<32:03:18,  3.91s/it, lr=1e-5, step_loss=0.0357, td=3.57s]
Steps:   2%|▏         | 455/30000 [25:08<26:50:02,  3.27s/it, lr=1e-5, step_loss=0.0357, td=3.57s]
Steps:   2%|▏         | 455/30000 [25:08<26:50:02,  3.27s/it, lr=1e-5, step_loss=0.0237, td=0.08s]
Steps:   2%|▏         | 456/30000 [25:10<21:43:34,  2.65s/it, lr=1e-5, step_loss=0.0237, td=0.08s]
Steps:   2%|▏         | 456/30000 [25:10<21:43:34,  2.65s/it, lr=1e-5, step_loss=0.0819, td=0.23s]12/12/2024 15:21:11 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:21:11 - INFO - __main__ - removing checkpoints: motion_module-447.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 457/30000 [25:17<32:07:18,  3.91s/it, lr=1e-5, step_loss=0.0819, td=0.23s]
Steps:   2%|▏         | 457/30000 [25:17<32:07:18,  3.91s/it, lr=1e-5, step_loss=0.0484, td=3.57s]
Steps:   2%|▏         | 458/30000 [25:18<26:52:55,  3.28s/it, lr=1e-5, step_loss=0.0484, td=3.57s]
Steps:   2%|▏         | 458/30000 [25:18<26:52:55,  3.28s/it, lr=1e-5, step_loss=0.0481, td=0.08s]
Steps:   2%|▏         | 459/30000 [25:19<21:36:44,  2.63s/it, lr=1e-5, step_loss=0.0481, td=0.08s]
Steps:   2%|▏         | 459/30000 [25:19<21:36:44,  2.63s/it, lr=1e-5, step_loss=0.0284, td=0.17s]12/12/2024 15:21:21 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:21:21 - INFO - __main__ - removing checkpoints: motion_module-450.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 460/30000 [25:26<32:27:34,  3.96s/it, lr=1e-5, step_loss=0.0284, td=0.17s]
Steps:   2%|▏         | 460/30000 [25:26<32:27:34,  3.96s/it, lr=1e-5, step_loss=0.0446, td=3.66s]
Steps:   2%|▏         | 461/30000 [25:28<27:07:00,  3.30s/it, lr=1e-5, step_loss=0.0446, td=3.66s]
Steps:   2%|▏         | 461/30000 [25:28<27:07:00,  3.30s/it, lr=1e-5, step_loss=0.042, td=0.08s] 
Steps:   2%|▏         | 462/30000 [25:29<21:50:47,  2.66s/it, lr=1e-5, step_loss=0.042, td=0.08s]
Steps:   2%|▏         | 462/30000 [25:29<21:50:47,  2.66s/it, lr=1e-5, step_loss=0.0434, td=0.21s]12/12/2024 15:21:31 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:21:31 - INFO - __main__ - removing checkpoints: motion_module-453.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 463/30000 [25:36<32:39:43,  3.98s/it, lr=1e-5, step_loss=0.0434, td=0.21s]
Steps:   2%|▏         | 463/30000 [25:36<32:39:43,  3.98s/it, lr=1e-5, step_loss=0.0359, td=3.70s]
Steps:   2%|▏         | 464/30000 [25:38<27:15:23,  3.32s/it, lr=1e-5, step_loss=0.0359, td=3.70s]
Steps:   2%|▏         | 464/30000 [25:38<27:15:23,  3.32s/it, lr=1e-5, step_loss=0.0564, td=0.08s]
Steps:   2%|▏         | 465/30000 [25:39<21:52:01,  2.67s/it, lr=1e-5, step_loss=0.0564, td=0.08s]
Steps:   2%|▏         | 465/30000 [25:39<21:52:01,  2.67s/it, lr=1e-5, step_loss=0.0698, td=0.18s]12/12/2024 15:21:41 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:21:41 - INFO - __main__ - removing checkpoints: motion_module-456.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 466/30000 [25:46<32:13:27,  3.93s/it, lr=1e-5, step_loss=0.0698, td=0.18s]
Steps:   2%|▏         | 466/30000 [25:46<32:13:27,  3.93s/it, lr=1e-5, step_loss=0.0554, td=3.61s]
Steps:   2%|▏         | 467/30000 [25:48<26:57:22,  3.29s/it, lr=1e-5, step_loss=0.0554, td=3.61s]
Steps:   2%|▏         | 467/30000 [25:48<26:57:22,  3.29s/it, lr=1e-5, step_loss=0.0257, td=0.08s]
Steps:   2%|▏         | 468/30000 [25:49<21:39:11,  2.64s/it, lr=1e-5, step_loss=0.0257, td=0.08s]
Steps:   2%|▏         | 468/30000 [25:49<21:39:11,  2.64s/it, lr=1e-5, step_loss=0.031, td=0.17s] 12/12/2024 15:21:51 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:21:51 - INFO - __main__ - removing checkpoints: motion_module-459.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 469/30000 [25:56<32:44:56,  3.99s/it, lr=1e-5, step_loss=0.031, td=0.17s]
Steps:   2%|▏         | 469/30000 [25:56<32:44:56,  3.99s/it, lr=1e-5, step_loss=0.0411, td=3.86s]
Steps:   2%|▏         | 470/30000 [25:58<27:23:03,  3.34s/it, lr=1e-5, step_loss=0.0411, td=3.86s]
Steps:   2%|▏         | 470/30000 [25:58<27:23:03,  3.34s/it, lr=1e-5, step_loss=0.0472, td=0.11s]
Steps:   2%|▏         | 471/30000 [25:59<21:58:32,  2.68s/it, lr=1e-5, step_loss=0.0472, td=0.11s]
Steps:   2%|▏         | 471/30000 [25:59<21:58:32,  2.68s/it, lr=1e-5, step_loss=0.036, td=0.18s] 12/12/2024 15:22:01 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:22:01 - INFO - __main__ - removing checkpoints: motion_module-462.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 472/30000 [26:06<32:54:27,  4.01s/it, lr=1e-5, step_loss=0.036, td=0.18s]
Steps:   2%|▏         | 472/30000 [26:06<32:54:27,  4.01s/it, lr=1e-5, step_loss=0.0296, td=3.76s]
Steps:   2%|▏         | 473/30000 [26:08<27:26:44,  3.35s/it, lr=1e-5, step_loss=0.0296, td=3.76s]
Steps:   2%|▏         | 473/30000 [26:08<27:26:44,  3.35s/it, lr=1e-5, step_loss=0.045, td=0.08s] 
Steps:   2%|▏         | 474/30000 [26:09<22:03:16,  2.69s/it, lr=1e-5, step_loss=0.045, td=0.08s]
Steps:   2%|▏         | 474/30000 [26:09<22:03:16,  2.69s/it, lr=1e-5, step_loss=0.0198, td=0.19s]12/12/2024 15:22:11 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:22:11 - INFO - __main__ - removing checkpoints: motion_module-465.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 475/30000 [26:17<33:13:09,  4.05s/it, lr=1e-5, step_loss=0.0198, td=0.19s]
Steps:   2%|▏         | 475/30000 [26:17<33:13:09,  4.05s/it, lr=1e-5, step_loss=0.0345, td=3.64s]
Steps:   2%|▏         | 476/30000 [26:18<27:43:12,  3.38s/it, lr=1e-5, step_loss=0.0345, td=3.64s]
Steps:   2%|▏         | 476/30000 [26:18<27:43:12,  3.38s/it, lr=1e-5, step_loss=0.0534, td=0.09s]
Steps:   2%|▏         | 477/30000 [26:20<22:13:53,  2.71s/it, lr=1e-5, step_loss=0.0534, td=0.09s]
Steps:   2%|▏         | 477/30000 [26:20<22:13:53,  2.71s/it, lr=1e-5, step_loss=0.0932, td=0.18s]12/12/2024 15:22:21 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:22:21 - INFO - __main__ - removing checkpoints: motion_module-468.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 478/30000 [26:27<32:41:42,  3.99s/it, lr=1e-5, step_loss=0.0932, td=0.18s]
Steps:   2%|▏         | 478/30000 [26:27<32:41:42,  3.99s/it, lr=1e-5, step_loss=0.0306, td=3.70s]
Steps:   2%|▏         | 479/30000 [26:28<27:16:24,  3.33s/it, lr=1e-5, step_loss=0.0306, td=3.70s]
Steps:   2%|▏         | 479/30000 [26:28<27:16:24,  3.33s/it, lr=1e-5, step_loss=0.0763, td=0.08s]
Steps:   2%|▏         | 480/30000 [26:29<21:53:53,  2.67s/it, lr=1e-5, step_loss=0.0763, td=0.08s]
Steps:   2%|▏         | 480/30000 [26:29<21:53:53,  2.67s/it, lr=1e-5, step_loss=0.0101, td=0.18s]12/12/2024 15:22:31 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:22:31 - INFO - __main__ - removing checkpoints: motion_module-471.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 481/30000 [26:36<32:13:56,  3.93s/it, lr=1e-5, step_loss=0.0101, td=0.18s]
Steps:   2%|▏         | 481/30000 [26:36<32:13:56,  3.93s/it, lr=1e-5, step_loss=0.0589, td=3.70s]
Steps:   2%|▏         | 482/30000 [26:38<26:57:38,  3.29s/it, lr=1e-5, step_loss=0.0589, td=3.70s]
Steps:   2%|▏         | 482/30000 [26:38<26:57:38,  3.29s/it, lr=1e-5, step_loss=0.0242, td=0.08s]
Steps:   2%|▏         | 483/30000 [26:39<21:41:30,  2.65s/it, lr=1e-5, step_loss=0.0242, td=0.08s]
Steps:   2%|▏         | 483/30000 [26:39<21:41:30,  2.65s/it, lr=1e-5, step_loss=0.0474, td=0.19s]12/12/2024 15:22:41 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:22:41 - INFO - __main__ - removing checkpoints: motion_module-474.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 484/30000 [26:46<32:09:56,  3.92s/it, lr=1e-5, step_loss=0.0474, td=0.19s]
Steps:   2%|▏         | 484/30000 [26:46<32:09:56,  3.92s/it, lr=1e-5, step_loss=0.0381, td=3.75s]
Steps:   2%|▏         | 485/30000 [26:48<26:55:00,  3.28s/it, lr=1e-5, step_loss=0.0381, td=3.75s]
Steps:   2%|▏         | 485/30000 [26:48<26:55:00,  3.28s/it, lr=1e-5, step_loss=0.0303, td=0.08s]
Steps:   2%|▏         | 486/30000 [26:49<21:39:06,  2.64s/it, lr=1e-5, step_loss=0.0303, td=0.08s]
Steps:   2%|▏         | 486/30000 [26:49<21:39:06,  2.64s/it, lr=1e-5, step_loss=0.0185, td=0.18s]12/12/2024 15:22:51 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:22:51 - INFO - __main__ - removing checkpoints: motion_module-477.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 487/30000 [26:56<32:24:04,  3.95s/it, lr=1e-5, step_loss=0.0185, td=0.18s]
Steps:   2%|▏         | 487/30000 [26:56<32:24:04,  3.95s/it, lr=1e-5, step_loss=0.016, td=3.73s] 
Steps:   2%|▏         | 488/30000 [26:58<27:04:54,  3.30s/it, lr=1e-5, step_loss=0.016, td=3.73s]
Steps:   2%|▏         | 488/30000 [26:58<27:04:54,  3.30s/it, lr=1e-5, step_loss=0.0528, td=0.08s]
Steps:   2%|▏         | 489/30000 [26:59<21:45:11,  2.65s/it, lr=1e-5, step_loss=0.0528, td=0.08s]
Steps:   2%|▏         | 489/30000 [26:59<21:45:11,  2.65s/it, lr=1e-5, step_loss=0.0198, td=0.18s]12/12/2024 15:23:01 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:23:01 - INFO - __main__ - removing checkpoints: motion_module-480.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 490/30000 [27:06<32:04:58,  3.91s/it, lr=1e-5, step_loss=0.0198, td=0.18s]
Steps:   2%|▏         | 490/30000 [27:06<32:04:58,  3.91s/it, lr=1e-5, step_loss=0.0432, td=3.60s]
Steps:   2%|▏         | 491/30000 [27:08<26:36:11,  3.25s/it, lr=1e-5, step_loss=0.0432, td=3.60s]
Steps:   2%|▏         | 491/30000 [27:08<26:36:11,  3.25s/it, lr=1e-5, step_loss=0.0337, td=0.09s]
Steps:   2%|▏         | 492/30000 [27:09<21:27:41,  2.62s/it, lr=1e-5, step_loss=0.0337, td=0.09s]
Steps:   2%|▏         | 492/30000 [27:09<21:27:41,  2.62s/it, lr=1e-5, step_loss=0.0474, td=0.20s]12/12/2024 15:23:10 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:23:10 - INFO - __main__ - removing checkpoints: motion_module-483.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 493/30000 [27:16<32:47:59,  4.00s/it, lr=1e-5, step_loss=0.0474, td=0.20s]
Steps:   2%|▏         | 493/30000 [27:16<32:47:59,  4.00s/it, lr=1e-5, step_loss=0.0361, td=3.76s]
Steps:   2%|▏         | 494/30000 [27:18<27:21:30,  3.34s/it, lr=1e-5, step_loss=0.0361, td=3.76s]
Steps:   2%|▏         | 494/30000 [27:18<27:21:30,  3.34s/it, lr=1e-5, step_loss=0.0325, td=0.08s]
Steps:   2%|▏         | 495/30000 [27:19<21:57:18,  2.68s/it, lr=1e-5, step_loss=0.0325, td=0.08s]
Steps:   2%|▏         | 495/30000 [27:19<21:57:18,  2.68s/it, lr=1e-5, step_loss=0.0309, td=0.19s]12/12/2024 15:23:20 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:23:20 - INFO - __main__ - removing checkpoints: motion_module-486.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 496/30000 [27:26<32:10:43,  3.93s/it, lr=1e-5, step_loss=0.0309, td=0.19s]
Steps:   2%|▏         | 496/30000 [27:26<32:10:43,  3.93s/it, lr=1e-5, step_loss=0.0546, td=3.60s]
Steps:   2%|▏         | 497/30000 [27:28<26:57:14,  3.29s/it, lr=1e-5, step_loss=0.0546, td=3.60s]
Steps:   2%|▏         | 497/30000 [27:28<26:57:14,  3.29s/it, lr=1e-5, step_loss=0.0193, td=0.09s]
Steps:   2%|▏         | 498/30000 [27:29<21:41:00,  2.65s/it, lr=1e-5, step_loss=0.0193, td=0.09s]
Steps:   2%|▏         | 498/30000 [27:29<21:41:00,  2.65s/it, lr=1e-5, step_loss=0.0499, td=0.18s]12/12/2024 15:23:30 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:23:30 - INFO - __main__ - removing checkpoints: motion_module-489.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 499/30000 [27:36<32:22:32,  3.95s/it, lr=1e-5, step_loss=0.0499, td=0.18s]
Steps:   2%|▏         | 499/30000 [27:36<32:22:32,  3.95s/it, lr=1e-5, step_loss=0.0418, td=3.66s]
Steps:   2%|▏         | 500/30000 [27:37<27:03:30,  3.30s/it, lr=1e-5, step_loss=0.0418, td=3.66s]
Steps:   2%|▏         | 500/30000 [27:37<27:03:30,  3.30s/it, lr=1e-5, step_loss=0.044, td=0.08s] 
Steps:   2%|▏         | 501/30000 [27:39<21:43:36,  2.65s/it, lr=1e-5, step_loss=0.044, td=0.08s]
Steps:   2%|▏         | 501/30000 [27:39<21:43:36,  2.65s/it, lr=1e-5, step_loss=0.0106, td=0.18s]12/12/2024 15:23:40 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:23:40 - INFO - __main__ - removing checkpoints: motion_module-492.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 502/30000 [27:45<32:05:56,  3.92s/it, lr=1e-5, step_loss=0.0106, td=0.18s]
Steps:   2%|▏         | 502/30000 [27:45<32:05:56,  3.92s/it, lr=1e-5, step_loss=0.0461, td=3.62s]
Steps:   2%|▏         | 503/30000 [27:47<26:51:34,  3.28s/it, lr=1e-5, step_loss=0.0461, td=3.62s]
Steps:   2%|▏         | 503/30000 [27:47<26:51:34,  3.28s/it, lr=1e-5, step_loss=0.0372, td=0.08s]
Steps:   2%|▏         | 504/30000 [27:48<21:36:37,  2.64s/it, lr=1e-5, step_loss=0.0372, td=0.08s]
Steps:   2%|▏         | 504/30000 [27:48<21:36:37,  2.64s/it, lr=1e-5, step_loss=0.0475, td=0.18s]12/12/2024 15:23:50 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:23:50 - INFO - __main__ - removing checkpoints: motion_module-495.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 505/30000 [27:56<32:54:12,  4.02s/it, lr=1e-5, step_loss=0.0475, td=0.18s]
Steps:   2%|▏         | 505/30000 [27:56<32:54:12,  4.02s/it, lr=1e-5, step_loss=0.0476, td=3.90s]
Steps:   2%|▏         | 506/30000 [27:57<27:26:48,  3.35s/it, lr=1e-5, step_loss=0.0476, td=3.90s]
Steps:   2%|▏         | 506/30000 [27:57<27:26:48,  3.35s/it, lr=1e-5, step_loss=0.0243, td=0.09s]
Steps:   2%|▏         | 507/30000 [27:59<22:01:48,  2.69s/it, lr=1e-5, step_loss=0.0243, td=0.09s]
Steps:   2%|▏         | 507/30000 [27:59<22:01:48,  2.69s/it, lr=1e-5, step_loss=0.0601, td=0.18s]12/12/2024 15:24:00 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:24:00 - INFO - __main__ - removing checkpoints: motion_module-498.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 508/30000 [28:06<32:36:11,  3.98s/it, lr=1e-5, step_loss=0.0601, td=0.18s]
Steps:   2%|▏         | 508/30000 [28:06<32:36:11,  3.98s/it, lr=1e-5, step_loss=0.0615, td=3.75s]
Steps:   2%|▏         | 509/30000 [28:07<27:13:21,  3.32s/it, lr=1e-5, step_loss=0.0615, td=3.75s]
Steps:   2%|▏         | 509/30000 [28:07<27:13:21,  3.32s/it, lr=1e-5, step_loss=0.0226, td=0.08s]
Steps:   2%|▏         | 510/30000 [28:09<22:00:17,  2.69s/it, lr=1e-5, step_loss=0.0226, td=0.08s]
Steps:   2%|▏         | 510/30000 [28:09<22:00:17,  2.69s/it, lr=1e-5, step_loss=0.0551, td=0.24s]12/12/2024 15:24:10 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:24:10 - INFO - __main__ - removing checkpoints: motion_module-501.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 511/30000 [28:16<33:26:03,  4.08s/it, lr=1e-5, step_loss=0.0551, td=0.24s]
Steps:   2%|▏         | 511/30000 [28:16<33:26:03,  4.08s/it, lr=1e-5, step_loss=0.0299, td=3.77s]
Steps:   2%|▏         | 512/30000 [28:18<27:49:22,  3.40s/it, lr=1e-5, step_loss=0.0299, td=3.77s]
Steps:   2%|▏         | 512/30000 [28:18<27:49:22,  3.40s/it, lr=1e-5, step_loss=0.0331, td=0.09s]
Steps:   2%|▏         | 513/30000 [28:19<22:15:54,  2.72s/it, lr=1e-5, step_loss=0.0331, td=0.09s]
Steps:   2%|▏         | 513/30000 [28:19<22:15:54,  2.72s/it, lr=1e-5, step_loss=0.0349, td=0.18s]12/12/2024 15:24:20 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:24:20 - INFO - __main__ - removing checkpoints: motion_module-504.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 514/30000 [28:26<32:57:27,  4.02s/it, lr=1e-5, step_loss=0.0349, td=0.18s]
Steps:   2%|▏         | 514/30000 [28:26<32:57:27,  4.02s/it, lr=1e-5, step_loss=0.066, td=3.77s] 
Steps:   2%|▏         | 515/30000 [28:28<27:28:03,  3.35s/it, lr=1e-5, step_loss=0.066, td=3.77s]
Steps:   2%|▏         | 515/30000 [28:28<27:28:03,  3.35s/it, lr=1e-5, step_loss=0.0259, td=0.08s]
Steps:   2%|▏         | 516/30000 [28:29<22:00:59,  2.69s/it, lr=1e-5, step_loss=0.0259, td=0.08s]
Steps:   2%|▏         | 516/30000 [28:29<22:00:59,  2.69s/it, lr=1e-5, step_loss=0.0279, td=0.17s]12/12/2024 15:24:30 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:24:30 - INFO - __main__ - removing checkpoints: motion_module-507.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 517/30000 [28:36<32:20:44,  3.95s/it, lr=1e-5, step_loss=0.0279, td=0.17s]
Steps:   2%|▏         | 517/30000 [28:36<32:20:44,  3.95s/it, lr=1e-5, step_loss=0.033, td=3.66s] 
Steps:   2%|▏         | 518/30000 [28:37<27:02:17,  3.30s/it, lr=1e-5, step_loss=0.033, td=3.66s]
Steps:   2%|▏         | 518/30000 [28:37<27:02:17,  3.30s/it, lr=1e-5, step_loss=0.0219, td=0.08s]
Steps:   2%|▏         | 519/30000 [28:39<21:44:19,  2.65s/it, lr=1e-5, step_loss=0.0219, td=0.08s]
Steps:   2%|▏         | 519/30000 [28:39<21:44:19,  2.65s/it, lr=1e-5, step_loss=0.142, td=0.19s] 12/12/2024 15:24:40 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:24:40 - INFO - __main__ - removing checkpoints: motion_module-510.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 520/30000 [28:46<32:18:58,  3.95s/it, lr=1e-5, step_loss=0.142, td=0.19s]
Steps:   2%|▏         | 520/30000 [28:46<32:18:58,  3.95s/it, lr=1e-5, step_loss=0.0313, td=3.58s]
Steps:   2%|▏         | 521/30000 [28:47<27:00:56,  3.30s/it, lr=1e-5, step_loss=0.0313, td=3.58s]
Steps:   2%|▏         | 521/30000 [28:47<27:00:56,  3.30s/it, lr=1e-5, step_loss=0.0271, td=0.08s]
Steps:   2%|▏         | 522/30000 [28:49<21:42:41,  2.65s/it, lr=1e-5, step_loss=0.0271, td=0.08s]
Steps:   2%|▏         | 522/30000 [28:49<21:42:41,  2.65s/it, lr=1e-5, step_loss=0.066, td=0.18s] 12/12/2024 15:24:50 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:24:50 - INFO - __main__ - removing checkpoints: motion_module-513.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 523/30000 [28:55<32:04:48,  3.92s/it, lr=1e-5, step_loss=0.066, td=0.18s]
Steps:   2%|▏         | 523/30000 [28:55<32:04:48,  3.92s/it, lr=1e-5, step_loss=0.0433, td=3.61s]
Steps:   2%|▏         | 524/30000 [28:57<26:50:47,  3.28s/it, lr=1e-5, step_loss=0.0433, td=3.61s]
Steps:   2%|▏         | 524/30000 [28:57<26:50:47,  3.28s/it, lr=1e-5, step_loss=0.0342, td=0.08s]
Steps:   2%|▏         | 525/30000 [28:58<21:34:20,  2.63s/it, lr=1e-5, step_loss=0.0342, td=0.08s]
Steps:   2%|▏         | 525/30000 [28:58<21:34:20,  2.63s/it, lr=1e-5, step_loss=0.0634, td=0.18s]12/12/2024 15:25:00 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:25:00 - INFO - __main__ - removing checkpoints: motion_module-516.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 526/30000 [29:05<32:12:53,  3.93s/it, lr=1e-5, step_loss=0.0634, td=0.18s]
Steps:   2%|▏         | 526/30000 [29:05<32:12:53,  3.93s/it, lr=1e-5, step_loss=0.0282, td=3.66s]
Steps:   2%|▏         | 527/30000 [29:07<26:56:08,  3.29s/it, lr=1e-5, step_loss=0.0282, td=3.66s]
Steps:   2%|▏         | 527/30000 [29:07<26:56:08,  3.29s/it, lr=1e-5, step_loss=0.0339, td=0.08s]
Steps:   2%|▏         | 528/30000 [29:08<21:39:40,  2.65s/it, lr=1e-5, step_loss=0.0339, td=0.08s]
Steps:   2%|▏         | 528/30000 [29:08<21:39:40,  2.65s/it, lr=1e-5, step_loss=0.0551, td=0.18s]12/12/2024 15:25:10 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:25:10 - INFO - __main__ - removing checkpoints: motion_module-519.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 529/30000 [29:15<32:11:50,  3.93s/it, lr=1e-5, step_loss=0.0551, td=0.18s]
Steps:   2%|▏         | 529/30000 [29:15<32:11:50,  3.93s/it, lr=1e-5, step_loss=0.0583, td=3.70s]
Steps:   2%|▏         | 530/30000 [29:17<26:56:38,  3.29s/it, lr=1e-5, step_loss=0.0583, td=3.70s]
Steps:   2%|▏         | 530/30000 [29:17<26:56:38,  3.29s/it, lr=1e-5, step_loss=0.0449, td=0.08s]
Steps:   2%|▏         | 531/30000 [29:18<21:39:21,  2.65s/it, lr=1e-5, step_loss=0.0449, td=0.08s]
Steps:   2%|▏         | 531/30000 [29:18<21:39:21,  2.65s/it, lr=1e-5, step_loss=0.0226, td=0.18s]12/12/2024 15:25:20 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:25:20 - INFO - __main__ - removing checkpoints: motion_module-522.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 532/30000 [29:25<32:36:41,  3.98s/it, lr=1e-5, step_loss=0.0226, td=0.18s]
Steps:   2%|▏         | 532/30000 [29:25<32:36:41,  3.98s/it, lr=1e-5, step_loss=0.0581, td=3.78s]
Steps:   2%|▏         | 533/30000 [29:27<27:13:28,  3.33s/it, lr=1e-5, step_loss=0.0581, td=3.78s]
Steps:   2%|▏         | 533/30000 [29:27<27:13:28,  3.33s/it, lr=1e-5, step_loss=0.0394, td=0.09s]
Steps:   2%|▏         | 534/30000 [29:28<21:39:04,  2.65s/it, lr=1e-5, step_loss=0.0394, td=0.09s]
Steps:   2%|▏         | 534/30000 [29:28<21:39:04,  2.65s/it, lr=1e-5, step_loss=0.0199, td=0.18s]12/12/2024 15:25:30 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:25:30 - INFO - __main__ - removing checkpoints: motion_module-525.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   2%|▏         | 535/30000 [29:35<31:44:42,  3.88s/it, lr=1e-5, step_loss=0.0199, td=0.18s]
Steps:   2%|▏         | 535/30000 [29:35<31:44:42,  3.88s/it, lr=1e-5, step_loss=0.0371, td=3.54s]
Steps:   2%|▏         | 536/30000 [29:37<26:35:59,  3.25s/it, lr=1e-5, step_loss=0.0371, td=3.54s]
Steps:   2%|▏         | 536/30000 [29:37<26:35:59,  3.25s/it, lr=1e-5, step_loss=0.0423, td=0.08s]
Steps:   2%|▏         | 537/30000 [29:38<21:25:01,  2.62s/it, lr=1e-5, step_loss=0.0423, td=0.08s]
Steps:   2%|▏         | 537/30000 [29:38<21:25:01,  2.62s/it, lr=1e-5, step_loss=0.0521, td=0.18s]12/12/2024 15:25:39 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:25:39 - INFO - __main__ - removing checkpoints: motion_module-528.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 538/30000 [29:45<32:20:07,  3.95s/it, lr=1e-5, step_loss=0.0521, td=0.18s]
Steps:   2%|▏         | 538/30000 [29:45<32:20:07,  3.95s/it, lr=1e-5, step_loss=0.0238, td=3.70s]
Steps:   2%|▏         | 539/30000 [29:47<27:01:33,  3.30s/it, lr=1e-5, step_loss=0.0238, td=3.70s]
Steps:   2%|▏         | 539/30000 [29:47<27:01:33,  3.30s/it, lr=1e-5, step_loss=0.0642, td=0.09s]
Steps:   2%|▏         | 540/30000 [29:48<21:42:06,  2.65s/it, lr=1e-5, step_loss=0.0642, td=0.09s]
Steps:   2%|▏         | 540/30000 [29:48<21:42:06,  2.65s/it, lr=1e-5, step_loss=0.0504, td=0.18s]12/12/2024 15:25:49 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:25:49 - INFO - __main__ - removing checkpoints: motion_module-531.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 541/30000 [29:55<31:56:20,  3.90s/it, lr=1e-5, step_loss=0.0504, td=0.18s]
Steps:   2%|▏         | 541/30000 [29:55<31:56:20,  3.90s/it, lr=1e-5, step_loss=0.0412, td=3.60s]
Steps:   2%|▏         | 542/30000 [29:56<26:44:15,  3.27s/it, lr=1e-5, step_loss=0.0412, td=3.60s]
Steps:   2%|▏         | 542/30000 [29:56<26:44:15,  3.27s/it, lr=1e-5, step_loss=0.0466, td=0.08s]
Steps:   2%|▏         | 543/30000 [29:57<21:29:36,  2.63s/it, lr=1e-5, step_loss=0.0466, td=0.08s]
Steps:   2%|▏         | 543/30000 [29:57<21:29:36,  2.63s/it, lr=1e-5, step_loss=0.0233, td=0.17s]12/12/2024 15:25:59 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:25:59 - INFO - __main__ - removing checkpoints: motion_module-534.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 544/30000 [30:04<32:17:17,  3.95s/it, lr=1e-5, step_loss=0.0233, td=0.17s]
Steps:   2%|▏         | 544/30000 [30:04<32:17:17,  3.95s/it, lr=1e-5, step_loss=0.0458, td=3.69s]
Steps:   2%|▏         | 545/30000 [30:06<26:58:48,  3.30s/it, lr=1e-5, step_loss=0.0458, td=3.69s]
Steps:   2%|▏         | 545/30000 [30:06<26:58:48,  3.30s/it, lr=1e-5, step_loss=0.018, td=0.08s] 
Steps:   2%|▏         | 546/30000 [30:07<21:41:14,  2.65s/it, lr=1e-5, step_loss=0.018, td=0.08s]
Steps:   2%|▏         | 546/30000 [30:07<21:41:14,  2.65s/it, lr=1e-5, step_loss=0.0701, td=0.18s]12/12/2024 15:26:09 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:26:09 - INFO - __main__ - removing checkpoints: motion_module-537.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 547/30000 [30:15<33:00:42,  4.03s/it, lr=1e-5, step_loss=0.0701, td=0.18s]
Steps:   2%|▏         | 547/30000 [30:15<33:00:42,  4.03s/it, lr=1e-5, step_loss=0.0595, td=3.93s]
Steps:   2%|▏         | 548/30000 [30:16<27:33:33,  3.37s/it, lr=1e-5, step_loss=0.0595, td=3.93s]
Steps:   2%|▏         | 548/30000 [30:16<27:33:33,  3.37s/it, lr=1e-5, step_loss=0.0235, td=0.11s]
Steps:   2%|▏         | 549/30000 [30:18<22:11:58,  2.71s/it, lr=1e-5, step_loss=0.0235, td=0.11s]
Steps:   2%|▏         | 549/30000 [30:18<22:11:58,  2.71s/it, lr=1e-5, step_loss=0.0523, td=0.23s]12/12/2024 15:26:19 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:26:19 - INFO - __main__ - removing checkpoints: motion_module-540.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 550/30000 [30:24<32:04:15,  3.92s/it, lr=1e-5, step_loss=0.0523, td=0.23s]
Steps:   2%|▏         | 550/30000 [30:24<32:04:15,  3.92s/it, lr=1e-5, step_loss=0.0343, td=3.52s]
Steps:   2%|▏         | 551/30000 [30:26<26:49:25,  3.28s/it, lr=1e-5, step_loss=0.0343, td=3.52s]
Steps:   2%|▏         | 551/30000 [30:26<26:49:25,  3.28s/it, lr=1e-5, step_loss=0.0397, td=0.08s]
Steps:   2%|▏         | 552/30000 [30:27<21:32:47,  2.63s/it, lr=1e-5, step_loss=0.0397, td=0.08s]
Steps:   2%|▏         | 552/30000 [30:27<21:32:47,  2.63s/it, lr=1e-5, step_loss=0.0635, td=0.17s]12/12/2024 15:26:29 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:26:29 - INFO - __main__ - removing checkpoints: motion_module-543.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 553/30000 [30:34<31:54:25,  3.90s/it, lr=1e-5, step_loss=0.0635, td=0.17s]
Steps:   2%|▏         | 553/30000 [30:34<31:54:25,  3.90s/it, lr=1e-5, step_loss=0.0251, td=3.62s]
Steps:   2%|▏         | 554/30000 [30:36<26:42:34,  3.27s/it, lr=1e-5, step_loss=0.0251, td=3.62s]
Steps:   2%|▏         | 554/30000 [30:36<26:42:34,  3.27s/it, lr=1e-5, step_loss=0.035, td=0.08s] 
Steps:   2%|▏         | 555/30000 [30:37<21:29:30,  2.63s/it, lr=1e-5, step_loss=0.035, td=0.08s]
Steps:   2%|▏         | 555/30000 [30:37<21:29:30,  2.63s/it, lr=1e-5, step_loss=0.106, td=0.18s]12/12/2024 15:26:39 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:26:39 - INFO - __main__ - removing checkpoints: motion_module-546.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 556/30000 [30:44<32:01:47,  3.92s/it, lr=1e-5, step_loss=0.106, td=0.18s]
Steps:   2%|▏         | 556/30000 [30:44<32:01:47,  3.92s/it, lr=1e-5, step_loss=0.0492, td=3.61s]
Steps:   2%|▏         | 557/30000 [30:46<26:49:34,  3.28s/it, lr=1e-5, step_loss=0.0492, td=3.61s]
Steps:   2%|▏         | 557/30000 [30:46<26:49:34,  3.28s/it, lr=1e-5, step_loss=0.0406, td=0.09s]
Steps:   2%|▏         | 558/30000 [30:47<21:33:56,  2.64s/it, lr=1e-5, step_loss=0.0406, td=0.09s]
Steps:   2%|▏         | 558/30000 [30:47<21:33:56,  2.64s/it, lr=1e-5, step_loss=0.0609, td=0.18s]12/12/2024 15:26:49 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:26:49 - INFO - __main__ - removing checkpoints: motion_module-549.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 559/30000 [30:54<32:21:38,  3.96s/it, lr=1e-5, step_loss=0.0609, td=0.18s]
Steps:   2%|▏         | 559/30000 [30:54<32:21:38,  3.96s/it, lr=1e-5, step_loss=0.0485, td=3.71s]
Steps:   2%|▏         | 560/30000 [30:56<27:01:26,  3.30s/it, lr=1e-5, step_loss=0.0485, td=3.71s]
Steps:   2%|▏         | 560/30000 [30:56<27:01:26,  3.30s/it, lr=1e-5, step_loss=0.0334, td=0.08s]
Steps:   2%|▏         | 561/30000 [30:57<21:42:47,  2.66s/it, lr=1e-5, step_loss=0.0334, td=0.08s]
Steps:   2%|▏         | 561/30000 [30:57<21:42:47,  2.66s/it, lr=1e-5, step_loss=0.0367, td=0.18s]12/12/2024 15:26:59 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:26:59 - INFO - __main__ - removing checkpoints: motion_module-552.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 562/30000 [31:04<32:15:34,  3.95s/it, lr=1e-5, step_loss=0.0367, td=0.18s]
Steps:   2%|▏         | 562/30000 [31:04<32:15:34,  3.95s/it, lr=1e-5, step_loss=0.0194, td=3.57s]
Steps:   2%|▏         | 563/30000 [31:06<26:58:56,  3.30s/it, lr=1e-5, step_loss=0.0194, td=3.57s]
Steps:   2%|▏         | 563/30000 [31:06<26:58:56,  3.30s/it, lr=1e-5, step_loss=0.0472, td=0.09s]
Steps:   2%|▏         | 564/30000 [31:07<21:43:37,  2.66s/it, lr=1e-5, step_loss=0.0472, td=0.09s]
Steps:   2%|▏         | 564/30000 [31:07<21:43:37,  2.66s/it, lr=1e-5, step_loss=0.0682, td=0.20s]12/12/2024 15:27:08 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:27:08 - INFO - __main__ - removing checkpoints: motion_module-555.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 565/30000 [31:14<33:09:59,  4.06s/it, lr=1e-5, step_loss=0.0682, td=0.20s]
Steps:   2%|▏         | 565/30000 [31:14<33:09:59,  4.06s/it, lr=1e-5, step_loss=0.0457, td=3.78s]
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Steps:   2%|▏         | 567/30000 [31:17<22:11:08,  2.71s/it, lr=1e-5, step_loss=0.0336, td=0.20s]12/12/2024 15:27:19 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:27:19 - INFO - __main__ - removing checkpoints: motion_module-558.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 568/30000 [31:24<32:14:01,  3.94s/it, lr=1e-5, step_loss=0.0336, td=0.20s]
Steps:   2%|▏         | 568/30000 [31:24<32:14:01,  3.94s/it, lr=1e-5, step_loss=0.0308, td=3.59s]
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Steps:   2%|▏         | 569/30000 [31:26<27:00:13,  3.30s/it, lr=1e-5, step_loss=0.0359, td=0.10s]
Steps:   2%|▏         | 570/30000 [31:27<21:41:34,  2.65s/it, lr=1e-5, step_loss=0.0359, td=0.10s]
Steps:   2%|▏         | 570/30000 [31:27<21:41:34,  2.65s/it, lr=1e-5, step_loss=0.0658, td=0.18s]12/12/2024 15:27:28 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:27:28 - INFO - __main__ - removing checkpoints: motion_module-561.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
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Steps:   2%|▏         | 571/30000 [31:34<32:16:24,  3.95s/it, lr=1e-5, step_loss=0.0153, td=3.63s]
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Steps:   2%|▏         | 573/30000 [31:37<21:40:39,  2.65s/it, lr=1e-5, step_loss=0.0403, td=0.09s]
Steps:   2%|▏         | 573/30000 [31:37<21:40:39,  2.65s/it, lr=1e-5, step_loss=0.07, td=0.18s]  12/12/2024 15:27:38 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:27:38 - INFO - __main__ - removing checkpoints: motion_module-564.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 574/30000 [31:44<32:27:05,  3.97s/it, lr=1e-5, step_loss=0.07, td=0.18s]
Steps:   2%|▏         | 574/30000 [31:44<32:27:05,  3.97s/it, lr=1e-5, step_loss=0.0345, td=3.83s]
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Steps:   2%|▏         | 576/30000 [31:47<21:54:12,  2.68s/it, lr=1e-5, step_loss=0.0226, td=0.24s]12/12/2024 15:27:48 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:27:48 - INFO - __main__ - removing checkpoints: motion_module-567.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 577/30000 [31:54<32:38:10,  3.99s/it, lr=1e-5, step_loss=0.0226, td=0.24s]
Steps:   2%|▏         | 577/30000 [31:54<32:38:10,  3.99s/it, lr=1e-5, step_loss=0.0154, td=3.65s]
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Steps:   2%|▏         | 578/30000 [31:56<27:15:40,  3.34s/it, lr=1e-5, step_loss=0.0445, td=0.10s]
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Steps:   2%|▏         | 579/30000 [31:57<21:51:25,  2.67s/it, lr=1e-5, step_loss=0.0341, td=0.18s]12/12/2024 15:27:58 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:27:58 - INFO - __main__ - removing checkpoints: motion_module-570.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 580/30000 [32:04<32:48:26,  4.01s/it, lr=1e-5, step_loss=0.0341, td=0.18s]
Steps:   2%|▏         | 580/30000 [32:04<32:48:26,  4.01s/it, lr=1e-5, step_loss=0.0446, td=3.79s]
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Steps:   2%|▏         | 581/30000 [32:06<27:20:36,  3.35s/it, lr=1e-5, step_loss=0.0314, td=0.08s]
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Steps:   2%|▏         | 582/30000 [32:07<21:55:18,  2.68s/it, lr=1e-5, step_loss=0.0397, td=0.18s]12/12/2024 15:28:08 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:28:08 - INFO - __main__ - removing checkpoints: motion_module-573.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 583/30000 [32:14<32:58:49,  4.04s/it, lr=1e-5, step_loss=0.0397, td=0.18s]
Steps:   2%|▏         | 583/30000 [32:14<32:58:49,  4.04s/it, lr=1e-5, step_loss=0.0603, td=3.74s]
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Steps:   2%|▏         | 584/30000 [32:16<27:11:56,  3.33s/it, lr=1e-5, step_loss=0.0358, td=0.08s]
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Steps:   2%|▏         | 585/30000 [32:17<21:49:41,  2.67s/it, lr=1e-5, step_loss=0.00941, td=0.18s]12/12/2024 15:28:18 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:28:18 - INFO - __main__ - removing checkpoints: motion_module-576.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 586/30000 [32:24<31:42:21,  3.88s/it, lr=1e-5, step_loss=0.00941, td=0.18s]
Steps:   2%|▏         | 586/30000 [32:24<31:42:21,  3.88s/it, lr=1e-5, step_loss=0.0555, td=3.58s] 
Steps:   2%|▏         | 587/30000 [32:25<26:17:09,  3.22s/it, lr=1e-5, step_loss=0.0555, td=3.58s]
Steps:   2%|▏         | 587/30000 [32:25<26:17:09,  3.22s/it, lr=1e-5, step_loss=0.0282, td=0.08s]
Steps:   2%|▏         | 588/30000 [32:26<20:58:53,  2.57s/it, lr=1e-5, step_loss=0.0282, td=0.08s]
Steps:   2%|▏         | 588/30000 [32:26<20:58:53,  2.57s/it, lr=1e-5, step_loss=0.0498, td=0.18s]12/12/2024 15:28:28 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:28:28 - INFO - __main__ - removing checkpoints: motion_module-579.pth
+
Steps:   2%|▏         | 589/30000 [32:33<31:49:53,  3.90s/it, lr=1e-5, step_loss=0.0498, td=0.18s]
Steps:   2%|▏         | 589/30000 [32:33<31:49:53,  3.90s/it, lr=1e-5, step_loss=0.0481, td=3.68s]
Steps:   2%|▏         | 590/30000 [32:35<26:42:08,  3.27s/it, lr=1e-5, step_loss=0.0481, td=3.68s]
Steps:   2%|▏         | 590/30000 [32:35<26:42:08,  3.27s/it, lr=1e-5, step_loss=0.0402, td=0.09s]
Steps:   2%|▏         | 591/30000 [32:36<21:28:17,  2.63s/it, lr=1e-5, step_loss=0.0402, td=0.09s]
Steps:   2%|▏         | 591/30000 [32:36<21:28:17,  2.63s/it, lr=1e-5, step_loss=0.0251, td=0.18s]12/12/2024 15:28:38 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:28:38 - INFO - __main__ - removing checkpoints: motion_module-582.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 592/30000 [32:43<31:40:44,  3.88s/it, lr=1e-5, step_loss=0.0251, td=0.18s]
Steps:   2%|▏         | 592/30000 [32:43<31:40:44,  3.88s/it, lr=1e-5, step_loss=0.0661, td=3.59s]
Steps:   2%|▏         | 593/30000 [32:45<26:16:31,  3.22s/it, lr=1e-5, step_loss=0.0661, td=3.59s]
Steps:   2%|▏         | 593/30000 [32:45<26:16:31,  3.22s/it, lr=1e-5, step_loss=0.0257, td=0.08s]
Steps:   2%|▏         | 594/30000 [32:46<21:12:36,  2.60s/it, lr=1e-5, step_loss=0.0257, td=0.08s]
Steps:   2%|▏         | 594/30000 [32:46<21:12:36,  2.60s/it, lr=1e-5, step_loss=0.0411, td=0.17s]12/12/2024 15:28:47 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:28:47 - INFO - __main__ - removing checkpoints: motion_module-585.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 595/30000 [32:53<32:00:44,  3.92s/it, lr=1e-5, step_loss=0.0411, td=0.17s]
Steps:   2%|▏         | 595/30000 [32:53<32:00:44,  3.92s/it, lr=1e-5, step_loss=0.0362, td=3.68s]
Steps:   2%|▏         | 596/30000 [32:55<26:45:57,  3.28s/it, lr=1e-5, step_loss=0.0362, td=3.68s]
Steps:   2%|▏         | 596/30000 [32:55<26:45:57,  3.28s/it, lr=1e-5, step_loss=0.04, td=0.08s]  
Steps:   2%|▏         | 597/30000 [32:56<21:29:35,  2.63s/it, lr=1e-5, step_loss=0.04, td=0.08s]
Steps:   2%|▏         | 597/30000 [32:56<21:29:35,  2.63s/it, lr=1e-5, step_loss=0.02, td=0.17s]12/12/2024 15:28:57 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:28:57 - INFO - __main__ - removing checkpoints: motion_module-588.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 598/30000 [33:03<32:21:22,  3.96s/it, lr=1e-5, step_loss=0.02, td=0.17s]
Steps:   2%|▏         | 598/30000 [33:03<32:21:22,  3.96s/it, lr=1e-5, step_loss=0.0651, td=3.75s]
Steps:   2%|▏         | 599/30000 [33:05<27:05:44,  3.32s/it, lr=1e-5, step_loss=0.0651, td=3.75s]
Steps:   2%|▏         | 599/30000 [33:05<27:05:44,  3.32s/it, lr=1e-5, step_loss=0.0185, td=0.11s]
Steps:   2%|▏         | 600/30000 [33:06<21:46:47,  2.67s/it, lr=1e-5, step_loss=0.0185, td=0.11s]12/12/2024 15:29:07 - INFO - __main__ - Running validation... 
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
100%|██████████| 20/20 [00:03<00:00,  5.71it/s]
100%|██████████| 20/20 [00:03<00:00,  5.61it/s]
+sample torch.Size([2, 5, 32, 32])
+
+
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+
 58%|█████▊    | 14/24 [00:00<00:00, 132.17it/s]
100%|██████████| 24/24 [00:00<00:00, 119.67it/s]
+
Steps:   2%|▏         | 600/30000 [33:13<21:46:47,  2.67s/it, lr=1e-5, step_loss=0.0101, td=0.19s]12/12/2024 15:29:14 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:29:14 - INFO - __main__ - removing checkpoints: motion_module-591.pth
+
Steps:   2%|▏         | 601/30000 [33:19<48:19:54,  5.92s/it, lr=1e-5, step_loss=0.0101, td=0.19s]
Steps:   2%|▏         | 601/30000 [33:19<48:19:54,  5.92s/it, lr=1e-5, step_loss=0.032, td=3.58s] 
Steps:   2%|▏         | 602/30000 [33:21<38:12:14,  4.68s/it, lr=1e-5, step_loss=0.032, td=3.58s]
Steps:   2%|▏         | 602/30000 [33:21<38:12:14,  4.68s/it, lr=1e-5, step_loss=0.0358, td=0.07s]
Steps:   2%|▏         | 603/30000 [33:22<29:17:59,  3.59s/it, lr=1e-5, step_loss=0.0358, td=0.07s]
Steps:   2%|▏         | 603/30000 [33:22<29:17:59,  3.59s/it, lr=1e-5, step_loss=0.028, td=0.16s] 12/12/2024 15:29:24 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:29:24 - INFO - __main__ - removing checkpoints: motion_module-594.pth
+sample torch.Size([4, 5, 32, 32])
+
Steps:   2%|▏         | 604/30000 [33:29<37:37:10,  4.61s/it, lr=1e-5, step_loss=0.028, td=0.16s]
Steps:   2%|▏         | 604/30000 [33:29<37:37:10,  4.61s/it, lr=1e-5, step_loss=0.0288, td=3.62s]
Steps:   2%|▏         | 605/30000 [33:31<30:45:17,  3.77s/it, lr=1e-5, step_loss=0.0288, td=3.62s]
Steps:   2%|▏         | 605/30000 [33:31<30:45:17,  3.77s/it, lr=1e-5, step_loss=0.0471, td=0.08s]
Steps:   2%|▏         | 606/30000 [33:32<24:25:32,  2.99s/it, lr=1e-5, step_loss=0.0471, td=0.08s]
Steps:   2%|▏         | 606/30000 [33:32<24:25:32,  2.99s/it, lr=1e-5, step_loss=0.0412, td=0.20s]12/12/2024 15:29:34 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:29:34 - INFO - __main__ - removing checkpoints: motion_module-597.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 607/30000 [33:39<34:11:18,  4.19s/it, lr=1e-5, step_loss=0.0412, td=0.20s]
Steps:   2%|▏         | 607/30000 [33:39<34:11:18,  4.19s/it, lr=1e-5, step_loss=0.0408, td=3.69s]
Steps:   2%|▏         | 608/30000 [33:41<28:19:54,  3.47s/it, lr=1e-5, step_loss=0.0408, td=3.69s]
Steps:   2%|▏         | 608/30000 [33:41<28:19:54,  3.47s/it, lr=1e-5, step_loss=0.0424, td=0.09s]
Steps:   2%|▏         | 609/30000 [33:42<22:37:25,  2.77s/it, lr=1e-5, step_loss=0.0424, td=0.09s]
Steps:   2%|▏         | 609/30000 [33:42<22:37:25,  2.77s/it, lr=1e-5, step_loss=0.0351, td=0.18s]12/12/2024 15:29:44 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:29:44 - INFO - __main__ - removing checkpoints: motion_module-600.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 610/30000 [33:49<33:06:04,  4.05s/it, lr=1e-5, step_loss=0.0351, td=0.18s]
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+12/12/2024 15:29:54 - INFO - __main__ - removing checkpoints: motion_module-603.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 613/30000 [33:59<32:20:35,  3.96s/it, lr=1e-5, step_loss=0.0239, td=0.24s]
Steps:   2%|▏         | 613/30000 [33:59<32:20:35,  3.96s/it, lr=1e-5, step_loss=0.0349, td=3.63s]
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Steps:   2%|▏         | 614/30000 [34:01<27:00:44,  3.31s/it, lr=1e-5, step_loss=0.0532, td=0.08s]
Steps:   2%|▏         | 615/30000 [34:02<21:49:54,  2.67s/it, lr=1e-5, step_loss=0.0532, td=0.08s]
Steps:   2%|▏         | 615/30000 [34:02<21:49:54,  2.67s/it, lr=1e-5, step_loss=0.0293, td=0.24s]12/12/2024 15:30:03 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:30:03 - INFO - __main__ - removing checkpoints: motion_module-606.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 616/30000 [34:09<32:13:00,  3.95s/it, lr=1e-5, step_loss=0.0293, td=0.24s]
Steps:   2%|▏         | 616/30000 [34:09<32:13:00,  3.95s/it, lr=1e-5, step_loss=0.0118, td=3.55s]
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Steps:   2%|▏         | 617/30000 [34:10<26:41:14,  3.27s/it, lr=1e-5, step_loss=0.0658, td=0.09s]
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Steps:   2%|▏         | 618/30000 [34:12<21:28:18,  2.63s/it, lr=1e-5, step_loss=0.0517, td=0.18s]12/12/2024 15:30:13 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:30:13 - INFO - __main__ - removing checkpoints: motion_module-609.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+12/12/2024 15:55:30 - INFO - __main__ - Distributed environment: NO
+Num processes: 1
+Process index: 0
+Local process index: 0
+Device: cuda
+
+Mixed precision type: fp16
+
+{'scaling_factor', 'force_upcast'} was not found in config. Values will be initialized to default values.
+12/12/2024 15:55:37 - INFO - src.models.unet_2d_condition - loaded temporal unet's pretrained weights from ckpts/sd-image-variations-diffusers/unet ...
+{'attention_type', 'encoder_hid_dim', 'num_attention_heads', 'time_embedding_act_fn', 'time_embedding_type', 'class_embeddings_concat', 'resnet_skip_time_act', 'timestep_post_act', 'reverse_transformer_layers_per_block', 'mid_block_only_cross_attention', 'time_cond_proj_dim', 'encoder_hid_dim_type', 'conv_in_kernel', 'resnet_out_scale_factor', 'time_embedding_dim', 'resnet_time_scale_shift', 'class_embed_type', 'addition_time_embed_dim', 'addition_embed_type', 'transformer_layers_per_block', 'conv_out_kernel', 'cross_attention_norm', 'dropout', 'projection_class_embeddings_input_dim', 'upcast_attention', 'addition_embed_type_num_heads'} was not found in config. Values will be initialized to default values.
+12/12/2024 15:55:46 - INFO - src.models.unet_2d_condition - Loaded 0.0M-parameter motion module
+12/12/2024 15:55:47 - INFO - src.models.unet_3d - loaded temporal unet's pretrained weights from ckpts/sd-image-variations-diffusers/unet ...
+{'resnet_time_scale_shift', 'class_embed_type', 'upcast_attention'} was not found in config. Values will be initialized to default values.
+12/12/2024 15:55:57 - INFO - src.models.unet_3d - Load motion module params from ckpts/MotionModule/mm_sd_v15_v2.ckpt
+12/12/2024 15:56:00 - INFO - src.models.unet_3d - Loaded 453.20928M-parameter motion module
+12/12/2024 15:56:07 - INFO - __main__ - Total trainable params 546
+12/12/2024 15:56:07 - INFO - __main__ - ***** Running training *****
+12/12/2024 15:56:07 - INFO - __main__ -   Num examples = 10
+12/12/2024 15:56:07 - INFO - __main__ -   Num Epochs = 10000
+12/12/2024 15:56:07 - INFO - __main__ -   Instantaneous batch size per device = 4
+12/12/2024 15:56:07 - INFO - __main__ -   Total train batch size (w. parallel, distributed & accumulation) = 4
+12/12/2024 15:56:07 - INFO - __main__ -   Gradient Accumulation steps = 1
+12/12/2024 15:56:07 - INFO - __main__ -   Total optimization steps = 30000
+
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Steps:   0%|          | 3/30000 [00:11<24:18:35,  2.92s/it, lr=1e-5, step_loss=0.167, td=0.18s]12/12/2024 15:56:18 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:56:18 - INFO - __main__ - removing checkpoints: motion_module-612.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 4/30000 [00:18<37:45:57,  4.53s/it, lr=1e-5, step_loss=0.167, td=0.18s]
Steps:   0%|          | 4/30000 [00:18<37:45:57,  4.53s/it, lr=1e-5, step_loss=0.12, td=3.64s] 
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Steps:   0%|          | 6/30000 [00:20<22:33:40,  2.71s/it, lr=1e-5, step_loss=0.105, td=0.18s]12/12/2024 15:56:28 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:56:28 - INFO - __main__ - removing checkpoints: motion_module-3.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 7/30000 [00:27<34:11:19,  4.10s/it, lr=1e-5, step_loss=0.105, td=0.18s]
Steps:   0%|          | 7/30000 [00:27<34:11:19,  4.10s/it, lr=1e-5, step_loss=0.142, td=3.61s]
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Steps:   0%|          | 9/30000 [00:30<22:09:32,  2.66s/it, lr=1e-5, step_loss=0.1, td=0.19s]  12/12/2024 15:56:38 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:56:38 - INFO - __main__ - removing checkpoints: motion_module-6.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 10/30000 [00:37<33:04:24,  3.97s/it, lr=1e-5, step_loss=0.1, td=0.19s]
Steps:   0%|          | 10/30000 [00:37<33:04:24,  3.97s/it, lr=1e-5, step_loss=0.117, td=3.54s]
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Steps:   0%|          | 11/30000 [00:39<27:25:06,  3.29s/it, lr=1e-5, step_loss=0.128, td=0.08s]
Steps:   0%|          | 12/30000 [00:40<21:56:10,  2.63s/it, lr=1e-5, step_loss=0.128, td=0.08s]
Steps:   0%|          | 12/30000 [00:40<21:56:10,  2.63s/it, lr=1e-5, step_loss=0.217, td=0.19s]12/12/2024 15:56:48 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:56:48 - INFO - __main__ - removing checkpoints: motion_module-9.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 13/30000 [00:47<32:25:40,  3.89s/it, lr=1e-5, step_loss=0.217, td=0.19s]
Steps:   0%|          | 13/30000 [00:47<32:25:40,  3.89s/it, lr=1e-5, step_loss=0.149, td=3.45s]
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Steps:   0%|          | 14/30000 [00:49<27:04:26,  3.25s/it, lr=1e-5, step_loss=0.0906, td=0.09s]
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Steps:   0%|          | 15/30000 [00:50<21:33:20,  2.59s/it, lr=1e-5, step_loss=0.107, td=0.19s] 12/12/2024 15:56:57 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:56:57 - INFO - __main__ - removing checkpoints: motion_module-12.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   0%|          | 16/30000 [00:56<32:02:57,  3.85s/it, lr=1e-5, step_loss=0.107, td=0.19s]
Steps:   0%|          | 16/30000 [00:56<32:02:57,  3.85s/it, lr=1e-5, step_loss=0.0984, td=3.50s]
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Steps:   0%|          | 18/30000 [00:59<21:33:17,  2.59s/it, lr=1e-5, step_loss=0.117, td=0.19s] 12/12/2024 15:57:07 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:57:07 - INFO - __main__ - removing checkpoints: motion_module-15.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 19/30000 [01:06<32:57:15,  3.96s/it, lr=1e-5, step_loss=0.117, td=0.19s]
Steps:   0%|          | 19/30000 [01:06<32:57:15,  3.96s/it, lr=1e-5, step_loss=0.126, td=3.81s]
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Steps:   0%|          | 20/30000 [01:08<27:25:33,  3.29s/it, lr=1e-5, step_loss=0.0754, td=0.08s]
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Steps:   0%|          | 21/30000 [01:09<22:00:44,  2.64s/it, lr=1e-5, step_loss=0.074, td=0.19s] 12/12/2024 15:57:17 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:57:17 - INFO - __main__ - removing checkpoints: motion_module-18.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 22/30000 [01:16<32:21:16,  3.89s/it, lr=1e-5, step_loss=0.074, td=0.19s]
Steps:   0%|          | 22/30000 [01:16<32:21:16,  3.89s/it, lr=1e-5, step_loss=0.106, td=3.60s]
Steps:   0%|          | 23/30000 [01:18<27:01:45,  3.25s/it, lr=1e-5, step_loss=0.106, td=3.60s]
Steps:   0%|          | 23/30000 [01:18<27:01:45,  3.25s/it, lr=1e-5, step_loss=0.0823, td=0.08s]
Steps:   0%|          | 24/30000 [01:19<21:43:17,  2.61s/it, lr=1e-5, step_loss=0.0823, td=0.08s]
Steps:   0%|          | 24/30000 [01:19<21:43:17,  2.61s/it, lr=1e-5, step_loss=0.0808, td=0.18s]12/12/2024 15:57:27 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:57:27 - INFO - __main__ - removing checkpoints: motion_module-21.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 25/30000 [01:26<32:41:17,  3.93s/it, lr=1e-5, step_loss=0.0808, td=0.18s]
Steps:   0%|          | 25/30000 [01:26<32:41:17,  3.93s/it, lr=1e-5, step_loss=0.106, td=3.57s] 
Steps:   0%|          | 26/30000 [01:28<27:18:15,  3.28s/it, lr=1e-5, step_loss=0.106, td=3.57s]
Steps:   0%|          | 26/30000 [01:28<27:18:15,  3.28s/it, lr=1e-5, step_loss=0.0971, td=0.10s]
Steps:   0%|          | 27/30000 [01:29<21:43:43,  2.61s/it, lr=1e-5, step_loss=0.0971, td=0.10s]
Steps:   0%|          | 27/30000 [01:29<21:43:43,  2.61s/it, lr=1e-5, step_loss=0.056, td=0.19s] 12/12/2024 15:57:36 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:57:36 - INFO - __main__ - removing checkpoints: motion_module-24.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   0%|          | 28/30000 [01:36<32:16:26,  3.88s/it, lr=1e-5, step_loss=0.056, td=0.19s]
Steps:   0%|          | 28/30000 [01:36<32:16:26,  3.88s/it, lr=1e-5, step_loss=0.0884, td=3.67s]
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Steps:   0%|          | 30/30000 [01:39<21:42:17,  2.61s/it, lr=1e-5, step_loss=0.127, td=0.08s]
Steps:   0%|          | 30/30000 [01:39<21:42:17,  2.61s/it, lr=1e-5, step_loss=0.0675, td=0.19s]12/12/2024 15:57:46 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:57:46 - INFO - __main__ - removing checkpoints: motion_module-27.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 31/30000 [01:46<32:42:32,  3.93s/it, lr=1e-5, step_loss=0.0675, td=0.19s]
Steps:   0%|          | 31/30000 [01:46<32:42:32,  3.93s/it, lr=1e-5, step_loss=0.083, td=3.66s] 
Steps:   0%|          | 32/30000 [01:47<27:20:20,  3.28s/it, lr=1e-5, step_loss=0.083, td=3.66s]
Steps:   0%|          | 32/30000 [01:47<27:20:20,  3.28s/it, lr=1e-5, step_loss=0.0977, td=0.09s]
Steps:   0%|          | 33/30000 [01:48<21:58:23,  2.64s/it, lr=1e-5, step_loss=0.0977, td=0.09s]
Steps:   0%|          | 33/30000 [01:48<21:58:23,  2.64s/it, lr=1e-5, step_loss=0.0982, td=0.19s]12/12/2024 15:57:56 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:57:56 - INFO - __main__ - removing checkpoints: motion_module-30.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 34/30000 [01:55<32:40:05,  3.92s/it, lr=1e-5, step_loss=0.0982, td=0.19s]
Steps:   0%|          | 34/30000 [01:55<32:40:05,  3.92s/it, lr=1e-5, step_loss=0.117, td=3.63s] 
Steps:   0%|          | 35/30000 [01:57<27:18:16,  3.28s/it, lr=1e-5, step_loss=0.117, td=3.63s]
Steps:   0%|          | 35/30000 [01:57<27:18:16,  3.28s/it, lr=1e-5, step_loss=0.0965, td=0.09s]
Steps:   0%|          | 36/30000 [01:58<21:55:35,  2.63s/it, lr=1e-5, step_loss=0.0965, td=0.09s]
Steps:   0%|          | 36/30000 [01:58<21:55:35,  2.63s/it, lr=1e-5, step_loss=0.097, td=0.19s] 12/12/2024 15:58:06 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:58:06 - INFO - __main__ - removing checkpoints: motion_module-33.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 37/30000 [02:05<33:11:38,  3.99s/it, lr=1e-5, step_loss=0.097, td=0.19s]
Steps:   0%|          | 37/30000 [02:05<33:11:38,  3.99s/it, lr=1e-5, step_loss=0.105, td=3.84s]
Steps:   0%|          | 38/30000 [02:07<27:37:29,  3.32s/it, lr=1e-5, step_loss=0.105, td=3.84s]
Steps:   0%|          | 38/30000 [02:07<27:37:29,  3.32s/it, lr=1e-5, step_loss=0.0832, td=0.09s]
Steps:   0%|          | 39/30000 [02:08<22:09:05,  2.66s/it, lr=1e-5, step_loss=0.0832, td=0.09s]
Steps:   0%|          | 39/30000 [02:08<22:09:05,  2.66s/it, lr=1e-5, step_loss=0.0727, td=0.18s]12/12/2024 15:58:16 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:58:16 - INFO - __main__ - removing checkpoints: motion_module-36.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 40/30000 [02:15<32:23:35,  3.89s/it, lr=1e-5, step_loss=0.0727, td=0.18s]
Steps:   0%|          | 40/30000 [02:15<32:23:35,  3.89s/it, lr=1e-5, step_loss=0.0903, td=3.59s]
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Steps:   0%|          | 41/30000 [02:17<27:03:24,  3.25s/it, lr=1e-5, step_loss=0.0705, td=0.09s]
Steps:   0%|          | 42/30000 [02:18<21:46:07,  2.62s/it, lr=1e-5, step_loss=0.0705, td=0.09s]
Steps:   0%|          | 42/30000 [02:18<21:46:07,  2.62s/it, lr=1e-5, step_loss=0.107, td=0.19s] 12/12/2024 15:58:26 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:58:26 - INFO - __main__ - removing checkpoints: motion_module-39.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 43/30000 [02:25<32:58:57,  3.96s/it, lr=1e-5, step_loss=0.107, td=0.19s]
Steps:   0%|          | 43/30000 [02:25<32:58:57,  3.96s/it, lr=1e-5, step_loss=0.0703, td=3.86s]
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Steps:   0%|          | 44/30000 [02:27<27:12:31,  3.27s/it, lr=1e-5, step_loss=0.113, td=0.09s] 
Steps:   0%|          | 45/30000 [02:28<22:02:02,  2.65s/it, lr=1e-5, step_loss=0.113, td=0.09s]
Steps:   0%|          | 45/30000 [02:28<22:02:02,  2.65s/it, lr=1e-5, step_loss=0.0878, td=0.23s]12/12/2024 15:58:36 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:58:36 - INFO - __main__ - removing checkpoints: motion_module-42.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 46/30000 [02:35<33:47:18,  4.06s/it, lr=1e-5, step_loss=0.0878, td=0.23s]
Steps:   0%|          | 46/30000 [02:35<33:47:18,  4.06s/it, lr=1e-5, step_loss=0.0881, td=3.92s]
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Steps:   0%|          | 48/30000 [02:38<22:36:42,  2.72s/it, lr=1e-5, step_loss=0.0806, td=0.33s]12/12/2024 15:58:46 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:58:46 - INFO - __main__ - removing checkpoints: motion_module-45.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 49/30000 [02:45<32:35:31,  3.92s/it, lr=1e-5, step_loss=0.0806, td=0.33s]
Steps:   0%|          | 49/30000 [02:45<32:35:31,  3.92s/it, lr=1e-5, step_loss=0.0705, td=3.55s]
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Steps:   0%|          | 50/30000 [02:47<27:13:11,  3.27s/it, lr=1e-5, step_loss=0.0893, td=0.10s]
Steps:   0%|          | 51/30000 [02:48<21:52:16,  2.63s/it, lr=1e-5, step_loss=0.0893, td=0.10s]
Steps:   0%|          | 51/30000 [02:48<21:52:16,  2.63s/it, lr=1e-5, step_loss=0.102, td=0.19s] 12/12/2024 15:58:55 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:58:55 - INFO - __main__ - removing checkpoints: motion_module-48.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 52/30000 [02:55<32:12:18,  3.87s/it, lr=1e-5, step_loss=0.102, td=0.19s]
Steps:   0%|          | 52/30000 [02:55<32:12:18,  3.87s/it, lr=1e-5, step_loss=0.0925, td=3.62s]
Steps:   0%|          | 53/30000 [02:56<26:54:39,  3.24s/it, lr=1e-5, step_loss=0.0925, td=3.62s]
Steps:   0%|          | 53/30000 [02:56<26:54:39,  3.24s/it, lr=1e-5, step_loss=0.12, td=0.09s]  
Steps:   0%|          | 54/30000 [02:57<21:38:36,  2.60s/it, lr=1e-5, step_loss=0.12, td=0.09s]
Steps:   0%|          | 54/30000 [02:57<21:38:36,  2.60s/it, lr=1e-5, step_loss=0.0582, td=0.18s]12/12/2024 15:59:05 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:59:05 - INFO - __main__ - removing checkpoints: motion_module-51.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 55/30000 [03:05<32:47:37,  3.94s/it, lr=1e-5, step_loss=0.0582, td=0.18s]
Steps:   0%|          | 55/30000 [03:05<32:47:37,  3.94s/it, lr=1e-5, step_loss=0.0758, td=3.85s]
Steps:   0%|          | 56/30000 [03:06<27:18:44,  3.28s/it, lr=1e-5, step_loss=0.0758, td=3.85s]
Steps:   0%|          | 56/30000 [03:06<27:18:44,  3.28s/it, lr=1e-5, step_loss=0.107, td=0.08s] 
Steps:   0%|          | 57/30000 [03:07<21:57:36,  2.64s/it, lr=1e-5, step_loss=0.107, td=0.08s]
Steps:   0%|          | 57/30000 [03:07<21:57:36,  2.64s/it, lr=1e-5, step_loss=0.104, td=0.19s]12/12/2024 15:59:15 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:59:15 - INFO - __main__ - removing checkpoints: motion_module-54.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 58/30000 [03:14<32:42:51,  3.93s/it, lr=1e-5, step_loss=0.104, td=0.19s]
Steps:   0%|          | 58/30000 [03:14<32:42:51,  3.93s/it, lr=1e-5, step_loss=0.0732, td=3.71s]
Steps:   0%|          | 59/30000 [03:16<27:17:15,  3.28s/it, lr=1e-5, step_loss=0.0732, td=3.71s]
Steps:   0%|          | 59/30000 [03:16<27:17:15,  3.28s/it, lr=1e-5, step_loss=0.11, td=0.09s]  
Steps:   0%|          | 60/30000 [03:17<21:56:47,  2.64s/it, lr=1e-5, step_loss=0.11, td=0.09s]
Steps:   0%|          | 60/30000 [03:17<21:56:47,  2.64s/it, lr=1e-5, step_loss=0.0899, td=0.19s]12/12/2024 15:59:25 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:59:25 - INFO - __main__ - removing checkpoints: motion_module-57.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 61/30000 [03:25<34:37:35,  4.16s/it, lr=1e-5, step_loss=0.0899, td=0.19s]
Steps:   0%|          | 61/30000 [03:25<34:37:35,  4.16s/it, lr=1e-5, step_loss=0.0891, td=4.26s]
Steps:   0%|          | 62/30000 [03:27<28:36:18,  3.44s/it, lr=1e-5, step_loss=0.0891, td=4.26s]
Steps:   0%|          | 62/30000 [03:27<28:36:18,  3.44s/it, lr=1e-5, step_loss=0.0901, td=0.08s]
Steps:   0%|          | 63/30000 [03:28<23:01:40,  2.77s/it, lr=1e-5, step_loss=0.0901, td=0.08s]
Steps:   0%|          | 63/30000 [03:28<23:01:40,  2.77s/it, lr=1e-5, step_loss=0.058, td=0.26s] 12/12/2024 15:59:36 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:59:36 - INFO - __main__ - removing checkpoints: motion_module-60.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 64/30000 [03:36<35:43:27,  4.30s/it, lr=1e-5, step_loss=0.058, td=0.26s]
Steps:   0%|          | 64/30000 [03:36<35:43:27,  4.30s/it, lr=1e-5, step_loss=0.11, td=4.34s] 
Steps:   0%|          | 65/30000 [03:38<29:24:42,  3.54s/it, lr=1e-5, step_loss=0.11, td=4.34s]
Steps:   0%|          | 65/30000 [03:38<29:24:42,  3.54s/it, lr=1e-5, step_loss=0.0749, td=0.10s]
Steps:   0%|          | 66/30000 [03:39<23:35:10,  2.84s/it, lr=1e-5, step_loss=0.0749, td=0.10s]
Steps:   0%|          | 66/30000 [03:39<23:35:10,  2.84s/it, lr=1e-5, step_loss=0.0998, td=0.21s]12/12/2024 15:59:46 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:59:46 - INFO - __main__ - removing checkpoints: motion_module-63.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 67/30000 [03:46<35:03:47,  4.22s/it, lr=1e-5, step_loss=0.0998, td=0.21s]
Steps:   0%|          | 67/30000 [03:46<35:03:47,  4.22s/it, lr=1e-5, step_loss=0.0825, td=4.10s]
Steps:   0%|          | 68/30000 [03:48<28:54:11,  3.48s/it, lr=1e-5, step_loss=0.0825, td=4.10s]
Steps:   0%|          | 68/30000 [03:48<28:54:11,  3.48s/it, lr=1e-5, step_loss=0.0893, td=0.08s]
Steps:   0%|          | 69/30000 [03:49<23:02:15,  2.77s/it, lr=1e-5, step_loss=0.0893, td=0.08s]
Steps:   0%|          | 69/30000 [03:49<23:02:15,  2.77s/it, lr=1e-5, step_loss=0.0728, td=0.19s]12/12/2024 15:59:57 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 15:59:57 - INFO - __main__ - removing checkpoints: motion_module-66.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 70/30000 [03:57<34:50:55,  4.19s/it, lr=1e-5, step_loss=0.0728, td=0.19s]
Steps:   0%|          | 70/30000 [03:57<34:50:55,  4.19s/it, lr=1e-5, step_loss=0.0912, td=4.10s]
Steps:   0%|          | 71/30000 [03:58<28:47:30,  3.46s/it, lr=1e-5, step_loss=0.0912, td=4.10s]
Steps:   0%|          | 71/30000 [03:58<28:47:30,  3.46s/it, lr=1e-5, step_loss=0.0649, td=0.09s]
Steps:   0%|          | 72/30000 [03:59<22:56:56,  2.76s/it, lr=1e-5, step_loss=0.0649, td=0.09s]
Steps:   0%|          | 72/30000 [03:59<22:56:56,  2.76s/it, lr=1e-5, step_loss=0.0925, td=0.18s]12/12/2024 16:00:07 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:00:07 - INFO - __main__ - removing checkpoints: motion_module-69.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 73/30000 [04:07<34:11:35,  4.11s/it, lr=1e-5, step_loss=0.0925, td=0.18s]
Steps:   0%|          | 73/30000 [04:07<34:11:35,  4.11s/it, lr=1e-5, step_loss=0.0913, td=3.94s]
Steps:   0%|          | 74/30000 [04:08<28:16:29,  3.40s/it, lr=1e-5, step_loss=0.0913, td=3.94s]
Steps:   0%|          | 74/30000 [04:08<28:16:29,  3.40s/it, lr=1e-5, step_loss=0.103, td=0.08s] 
Steps:   0%|          | 75/30000 [04:10<22:33:57,  2.71s/it, lr=1e-5, step_loss=0.103, td=0.08s]
Steps:   0%|          | 75/30000 [04:10<22:33:57,  2.71s/it, lr=1e-5, step_loss=0.0433, td=0.18s]12/12/2024 16:00:17 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:00:17 - INFO - __main__ - removing checkpoints: motion_module-72.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 76/30000 [04:16<32:42:27,  3.93s/it, lr=1e-5, step_loss=0.0433, td=0.18s]
Steps:   0%|          | 76/30000 [04:16<32:42:27,  3.93s/it, lr=1e-5, step_loss=0.0895, td=3.62s]
Steps:   0%|          | 77/30000 [04:18<27:14:32,  3.28s/it, lr=1e-5, step_loss=0.0895, td=3.62s]
Steps:   0%|          | 77/30000 [04:18<27:14:32,  3.28s/it, lr=1e-5, step_loss=0.0904, td=0.08s]
Steps:   0%|          | 78/30000 [04:19<21:51:00,  2.63s/it, lr=1e-5, step_loss=0.0904, td=0.08s]
Steps:   0%|          | 78/30000 [04:19<21:51:00,  2.63s/it, lr=1e-5, step_loss=0.0707, td=0.18s]12/12/2024 16:00:27 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:00:27 - INFO - __main__ - removing checkpoints: motion_module-75.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 79/30000 [04:26<32:31:45,  3.91s/it, lr=1e-5, step_loss=0.0707, td=0.18s]
Steps:   0%|          | 79/30000 [04:26<32:31:45,  3.91s/it, lr=1e-5, step_loss=0.0825, td=3.68s]
Steps:   0%|          | 80/30000 [04:28<27:07:13,  3.26s/it, lr=1e-5, step_loss=0.0825, td=3.68s]
Steps:   0%|          | 80/30000 [04:28<27:07:13,  3.26s/it, lr=1e-5, step_loss=0.0611, td=0.08s]
Steps:   0%|          | 81/30000 [04:29<21:45:20,  2.62s/it, lr=1e-5, step_loss=0.0611, td=0.08s]
Steps:   0%|          | 81/30000 [04:29<21:45:20,  2.62s/it, lr=1e-5, step_loss=0.142, td=0.18s] 12/12/2024 16:00:37 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:00:37 - INFO - __main__ - removing checkpoints: motion_module-78.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 82/30000 [04:36<32:56:04,  3.96s/it, lr=1e-5, step_loss=0.142, td=0.18s]
Steps:   0%|          | 82/30000 [04:36<32:56:04,  3.96s/it, lr=1e-5, step_loss=0.0914, td=3.91s]
Steps:   0%|          | 83/30000 [04:38<27:23:36,  3.30s/it, lr=1e-5, step_loss=0.0914, td=3.91s]
Steps:   0%|          | 83/30000 [04:38<27:23:36,  3.30s/it, lr=1e-5, step_loss=0.0721, td=0.08s]
Steps:   0%|          | 84/30000 [04:39<21:57:46,  2.64s/it, lr=1e-5, step_loss=0.0721, td=0.08s]
Steps:   0%|          | 84/30000 [04:39<21:57:46,  2.64s/it, lr=1e-5, step_loss=0.0561, td=0.18s]12/12/2024 16:00:47 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:00:47 - INFO - __main__ - removing checkpoints: motion_module-81.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 85/30000 [04:46<32:47:36,  3.95s/it, lr=1e-5, step_loss=0.0561, td=0.18s]
Steps:   0%|          | 85/30000 [04:46<32:47:36,  3.95s/it, lr=1e-5, step_loss=0.0968, td=3.67s]
Steps:   0%|          | 86/30000 [04:48<27:17:23,  3.28s/it, lr=1e-5, step_loss=0.0968, td=3.67s]
Steps:   0%|          | 86/30000 [04:48<27:17:23,  3.28s/it, lr=1e-5, step_loss=0.0772, td=0.08s]
Steps:   0%|          | 87/30000 [04:49<21:53:13,  2.63s/it, lr=1e-5, step_loss=0.0772, td=0.08s]
Steps:   0%|          | 87/30000 [04:49<21:53:13,  2.63s/it, lr=1e-5, step_loss=0.0668, td=0.18s]12/12/2024 16:00:56 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:00:56 - INFO - __main__ - removing checkpoints: motion_module-84.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 88/30000 [04:56<32:10:08,  3.87s/it, lr=1e-5, step_loss=0.0668, td=0.18s]
Steps:   0%|          | 88/30000 [04:56<32:10:08,  3.87s/it, lr=1e-5, step_loss=0.0614, td=3.62s]
Steps:   0%|          | 89/30000 [04:57<26:51:39,  3.23s/it, lr=1e-5, step_loss=0.0614, td=3.62s]
Steps:   0%|          | 89/30000 [04:57<26:51:39,  3.23s/it, lr=1e-5, step_loss=0.106, td=0.08s] 
Steps:   0%|          | 90/30000 [04:58<21:23:36,  2.57s/it, lr=1e-5, step_loss=0.106, td=0.08s]
Steps:   0%|          | 90/30000 [04:58<21:23:36,  2.57s/it, lr=1e-5, step_loss=0.0631, td=0.18s]12/12/2024 16:01:06 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:01:06 - INFO - __main__ - removing checkpoints: motion_module-87.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   0%|          | 91/30000 [05:06<33:02:24,  3.98s/it, lr=1e-5, step_loss=0.0631, td=0.18s]
Steps:   0%|          | 91/30000 [05:06<33:02:24,  3.98s/it, lr=1e-5, step_loss=0.0902, td=3.95s]
Steps:   0%|          | 92/30000 [05:07<27:28:08,  3.31s/it, lr=1e-5, step_loss=0.0902, td=3.95s]
Steps:   0%|          | 92/30000 [05:07<27:28:08,  3.31s/it, lr=1e-5, step_loss=0.0657, td=0.08s]
Steps:   0%|          | 93/30000 [05:08<22:01:09,  2.65s/it, lr=1e-5, step_loss=0.0657, td=0.08s]
Steps:   0%|          | 93/30000 [05:08<22:01:09,  2.65s/it, lr=1e-5, step_loss=0.0463, td=0.18s]12/12/2024 16:01:16 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:01:16 - INFO - __main__ - removing checkpoints: motion_module-90.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 94/30000 [05:15<32:16:15,  3.88s/it, lr=1e-5, step_loss=0.0463, td=0.18s]
Steps:   0%|          | 94/30000 [05:15<32:16:15,  3.88s/it, lr=1e-5, step_loss=0.0839, td=3.54s]
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Steps:   0%|          | 95/30000 [05:17<26:56:40,  3.24s/it, lr=1e-5, step_loss=0.07, td=0.08s]  
Steps:   0%|          | 96/30000 [05:18<21:28:20,  2.58s/it, lr=1e-5, step_loss=0.07, td=0.08s]
Steps:   0%|          | 96/30000 [05:18<21:28:20,  2.58s/it, lr=1e-5, step_loss=0.114, td=0.18s]12/12/2024 16:01:26 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:01:26 - INFO - __main__ - removing checkpoints: motion_module-93.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   0%|          | 97/30000 [05:25<32:51:11,  3.96s/it, lr=1e-5, step_loss=0.114, td=0.18s]
Steps:   0%|          | 97/30000 [05:25<32:51:11,  3.96s/it, lr=1e-5, step_loss=0.0626, td=3.82s]
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Steps:   0%|          | 98/30000 [05:27<27:20:05,  3.29s/it, lr=1e-5, step_loss=0.0801, td=0.08s]
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Steps:   0%|          | 99/30000 [05:28<21:58:15,  2.65s/it, lr=1e-5, step_loss=0.0905, td=0.20s]12/12/2024 16:01:36 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:01:36 - INFO - __main__ - removing checkpoints: motion_module-96.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 100/30000 [05:35<32:33:58,  3.92s/it, lr=1e-5, step_loss=0.0905, td=0.20s]
Steps:   0%|          | 100/30000 [05:35<32:33:58,  3.92s/it, lr=1e-5, step_loss=0.0784, td=3.72s]
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Steps:   0%|          | 101/30000 [05:37<27:09:02,  3.27s/it, lr=1e-5, step_loss=0.0862, td=0.08s]
Steps:   0%|          | 102/30000 [05:38<21:48:15,  2.63s/it, lr=1e-5, step_loss=0.0862, td=0.08s]
Steps:   0%|          | 102/30000 [05:38<21:48:15,  2.63s/it, lr=1e-5, step_loss=0.0678, td=0.18s]12/12/2024 16:01:45 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:01:45 - INFO - __main__ - removing checkpoints: motion_module-99.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 103/30000 [05:45<32:23:08,  3.90s/it, lr=1e-5, step_loss=0.0678, td=0.18s]
Steps:   0%|          | 103/30000 [05:45<32:23:08,  3.90s/it, lr=1e-5, step_loss=0.0551, td=3.56s]
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Steps:   0%|          | 104/30000 [05:46<27:00:57,  3.25s/it, lr=1e-5, step_loss=0.0679, td=0.08s]
Steps:   0%|          | 105/30000 [05:48<21:41:21,  2.61s/it, lr=1e-5, step_loss=0.0679, td=0.08s]
Steps:   0%|          | 105/30000 [05:48<21:41:21,  2.61s/it, lr=1e-5, step_loss=0.124, td=0.18s] 12/12/2024 16:01:55 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:01:55 - INFO - __main__ - removing checkpoints: motion_module-102.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 106/30000 [05:54<32:02:40,  3.86s/it, lr=1e-5, step_loss=0.124, td=0.18s]
Steps:   0%|          | 106/30000 [05:54<32:02:40,  3.86s/it, lr=1e-5, step_loss=0.0643, td=3.59s]
Steps:   0%|          | 107/30000 [05:56<26:46:30,  3.22s/it, lr=1e-5, step_loss=0.0643, td=3.59s]
Steps:   0%|          | 107/30000 [05:56<26:46:30,  3.22s/it, lr=1e-5, step_loss=0.0854, td=0.07s]
Steps:   0%|          | 108/30000 [05:57<21:31:35,  2.59s/it, lr=1e-5, step_loss=0.0854, td=0.07s]
Steps:   0%|          | 108/30000 [05:57<21:31:35,  2.59s/it, lr=1e-5, step_loss=0.0595, td=0.18s]12/12/2024 16:02:05 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:02:05 - INFO - __main__ - removing checkpoints: motion_module-105.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 109/30000 [06:04<32:34:38,  3.92s/it, lr=1e-5, step_loss=0.0595, td=0.18s]
Steps:   0%|          | 109/30000 [06:04<32:34:38,  3.92s/it, lr=1e-5, step_loss=0.046, td=3.72s] 
Steps:   0%|          | 110/30000 [06:06<27:09:37,  3.27s/it, lr=1e-5, step_loss=0.046, td=3.72s]
Steps:   0%|          | 110/30000 [06:06<27:09:37,  3.27s/it, lr=1e-5, step_loss=0.0727, td=0.08s]
Steps:   0%|          | 111/30000 [06:07<21:49:01,  2.63s/it, lr=1e-5, step_loss=0.0727, td=0.08s]
Steps:   0%|          | 111/30000 [06:07<21:49:01,  2.63s/it, lr=1e-5, step_loss=0.07, td=0.19s]  12/12/2024 16:02:15 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:02:15 - INFO - __main__ - removing checkpoints: motion_module-108.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 112/30000 [06:14<33:08:15,  3.99s/it, lr=1e-5, step_loss=0.07, td=0.19s]
Steps:   0%|          | 112/30000 [06:14<33:08:15,  3.99s/it, lr=1e-5, step_loss=0.0687, td=3.97s]
Steps:   0%|          | 113/30000 [06:16<27:33:32,  3.32s/it, lr=1e-5, step_loss=0.0687, td=3.97s]
Steps:   0%|          | 113/30000 [06:16<27:33:32,  3.32s/it, lr=1e-5, step_loss=0.0668, td=0.08s]
Steps:   0%|          | 114/30000 [06:17<22:04:38,  2.66s/it, lr=1e-5, step_loss=0.0668, td=0.08s]
Steps:   0%|          | 114/30000 [06:17<22:04:38,  2.66s/it, lr=1e-5, step_loss=0.0781, td=0.18s]12/12/2024 16:02:25 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:02:25 - INFO - __main__ - removing checkpoints: motion_module-111.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 115/30000 [06:24<33:39:24,  4.05s/it, lr=1e-5, step_loss=0.0781, td=0.18s]
Steps:   0%|          | 115/30000 [06:24<33:39:24,  4.05s/it, lr=1e-5, step_loss=0.0611, td=3.83s]
Steps:   0%|          | 116/30000 [06:26<27:59:52,  3.37s/it, lr=1e-5, step_loss=0.0611, td=3.83s]
Steps:   0%|          | 116/30000 [06:26<27:59:52,  3.37s/it, lr=1e-5, step_loss=0.0797, td=0.10s]
Steps:   0%|          | 117/30000 [06:27<22:26:05,  2.70s/it, lr=1e-5, step_loss=0.0797, td=0.10s]
Steps:   0%|          | 117/30000 [06:27<22:26:05,  2.70s/it, lr=1e-5, step_loss=0.0669, td=0.18s]12/12/2024 16:02:35 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:02:35 - INFO - __main__ - removing checkpoints: motion_module-114.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 118/30000 [06:34<33:00:47,  3.98s/it, lr=1e-5, step_loss=0.0669, td=0.18s]
Steps:   0%|          | 118/30000 [06:34<33:00:47,  3.98s/it, lr=1e-5, step_loss=0.0806, td=3.71s]
Steps:   0%|          | 119/30000 [06:36<27:12:40,  3.28s/it, lr=1e-5, step_loss=0.0806, td=3.71s]
Steps:   0%|          | 119/30000 [06:36<27:12:40,  3.28s/it, lr=1e-5, step_loss=0.0711, td=0.09s]
Steps:   0%|          | 120/30000 [06:37<21:49:44,  2.63s/it, lr=1e-5, step_loss=0.0711, td=0.09s]
Steps:   0%|          | 120/30000 [06:37<21:49:44,  2.63s/it, lr=1e-5, step_loss=0.107, td=0.18s] 12/12/2024 16:02:45 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:02:45 - INFO - __main__ - removing checkpoints: motion_module-117.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 121/30000 [06:44<32:24:42,  3.91s/it, lr=1e-5, step_loss=0.107, td=0.18s]
Steps:   0%|          | 121/30000 [06:44<32:24:42,  3.91s/it, lr=1e-5, step_loss=0.0768, td=3.49s]
Steps:   0%|          | 122/30000 [06:46<27:05:11,  3.26s/it, lr=1e-5, step_loss=0.0768, td=3.49s]
Steps:   0%|          | 122/30000 [06:46<27:05:11,  3.26s/it, lr=1e-5, step_loss=0.069, td=0.09s] 
Steps:   0%|          | 123/30000 [06:47<21:50:28,  2.63s/it, lr=1e-5, step_loss=0.069, td=0.09s]
Steps:   0%|          | 123/30000 [06:47<21:50:28,  2.63s/it, lr=1e-5, step_loss=0.106, td=0.21s]12/12/2024 16:02:55 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:02:55 - INFO - __main__ - removing checkpoints: motion_module-120.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 124/30000 [06:54<33:09:21,  4.00s/it, lr=1e-5, step_loss=0.106, td=0.21s]
Steps:   0%|          | 124/30000 [06:54<33:09:21,  4.00s/it, lr=1e-5, step_loss=0.0622, td=3.95s]
Steps:   0%|          | 125/30000 [06:56<27:35:53,  3.33s/it, lr=1e-5, step_loss=0.0622, td=3.95s]
Steps:   0%|          | 125/30000 [06:56<27:35:53,  3.33s/it, lr=1e-5, step_loss=0.0793, td=0.09s]
Steps:   0%|          | 126/30000 [06:57<21:57:11,  2.65s/it, lr=1e-5, step_loss=0.0793, td=0.09s]
Steps:   0%|          | 126/30000 [06:57<21:57:11,  2.65s/it, lr=1e-5, step_loss=0.105, td=0.19s] 12/12/2024 16:03:05 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:03:05 - INFO - __main__ - removing checkpoints: motion_module-123.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   0%|          | 127/30000 [07:04<33:26:26,  4.03s/it, lr=1e-5, step_loss=0.105, td=0.19s]
Steps:   0%|          | 127/30000 [07:04<33:26:26,  4.03s/it, lr=1e-5, step_loss=0.064, td=3.89s]
Steps:   0%|          | 128/30000 [07:06<27:46:08,  3.35s/it, lr=1e-5, step_loss=0.064, td=3.89s]
Steps:   0%|          | 128/30000 [07:06<27:46:08,  3.35s/it, lr=1e-5, step_loss=0.0744, td=0.08s]
Steps:   0%|          | 129/30000 [07:07<22:14:47,  2.68s/it, lr=1e-5, step_loss=0.0744, td=0.08s]
Steps:   0%|          | 129/30000 [07:07<22:14:47,  2.68s/it, lr=1e-5, step_loss=0.0885, td=0.18s]12/12/2024 16:03:15 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:03:15 - INFO - __main__ - removing checkpoints: motion_module-126.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 130/30000 [07:14<33:19:36,  4.02s/it, lr=1e-5, step_loss=0.0885, td=0.18s]
Steps:   0%|          | 130/30000 [07:14<33:19:36,  4.02s/it, lr=1e-5, step_loss=0.052, td=3.88s] 
Steps:   0%|          | 131/30000 [07:16<27:44:23,  3.34s/it, lr=1e-5, step_loss=0.052, td=3.88s]
Steps:   0%|          | 131/30000 [07:16<27:44:23,  3.34s/it, lr=1e-5, step_loss=0.0996, td=0.10s]
Steps:   0%|          | 132/30000 [07:17<22:22:58,  2.70s/it, lr=1e-5, step_loss=0.0996, td=0.10s]
Steps:   0%|          | 132/30000 [07:17<22:22:58,  2.70s/it, lr=1e-5, step_loss=0.0355, td=0.25s]12/12/2024 16:03:25 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:03:25 - INFO - __main__ - removing checkpoints: motion_module-129.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 133/30000 [07:24<32:12:58,  3.88s/it, lr=1e-5, step_loss=0.0355, td=0.25s]
Steps:   0%|          | 133/30000 [07:24<32:12:58,  3.88s/it, lr=1e-5, step_loss=0.0728, td=3.42s]
Steps:   0%|          | 134/30000 [07:25<26:54:22,  3.24s/it, lr=1e-5, step_loss=0.0728, td=3.42s]
Steps:   0%|          | 134/30000 [07:25<26:54:22,  3.24s/it, lr=1e-5, step_loss=0.0675, td=0.08s]
Steps:   0%|          | 135/30000 [07:27<21:39:06,  2.61s/it, lr=1e-5, step_loss=0.0675, td=0.08s]
Steps:   0%|          | 135/30000 [07:27<21:39:06,  2.61s/it, lr=1e-5, step_loss=0.0719, td=0.19s]12/12/2024 16:03:34 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:03:34 - INFO - __main__ - removing checkpoints: motion_module-132.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 136/30000 [07:34<32:46:26,  3.95s/it, lr=1e-5, step_loss=0.0719, td=0.19s]
Steps:   0%|          | 136/30000 [07:34<32:46:26,  3.95s/it, lr=1e-5, step_loss=0.0674, td=3.72s]
Steps:   0%|          | 137/30000 [07:35<27:21:59,  3.30s/it, lr=1e-5, step_loss=0.0674, td=3.72s]
Steps:   0%|          | 137/30000 [07:35<27:21:59,  3.30s/it, lr=1e-5, step_loss=0.0916, td=0.10s]
Steps:   0%|          | 138/30000 [07:37<21:56:52,  2.65s/it, lr=1e-5, step_loss=0.0916, td=0.10s]
Steps:   0%|          | 138/30000 [07:37<21:56:52,  2.65s/it, lr=1e-5, step_loss=0.0412, td=0.18s]12/12/2024 16:03:44 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:03:44 - INFO - __main__ - removing checkpoints: motion_module-135.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 139/30000 [07:43<32:13:25,  3.88s/it, lr=1e-5, step_loss=0.0412, td=0.18s]
Steps:   0%|          | 139/30000 [07:43<32:13:25,  3.88s/it, lr=1e-5, step_loss=0.0711, td=3.58s]
Steps:   0%|          | 140/30000 [07:45<26:57:12,  3.25s/it, lr=1e-5, step_loss=0.0711, td=3.58s]
Steps:   0%|          | 140/30000 [07:45<26:57:12,  3.25s/it, lr=1e-5, step_loss=0.0734, td=0.08s]
Steps:   0%|          | 141/30000 [07:46<21:48:04,  2.63s/it, lr=1e-5, step_loss=0.0734, td=0.08s]
Steps:   0%|          | 141/30000 [07:46<21:48:04,  2.63s/it, lr=1e-5, step_loss=0.056, td=0.23s] 12/12/2024 16:03:54 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:03:54 - INFO - __main__ - removing checkpoints: motion_module-138.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 142/30000 [07:54<33:08:53,  4.00s/it, lr=1e-5, step_loss=0.056, td=0.23s]
Steps:   0%|          | 142/30000 [07:54<33:08:53,  4.00s/it, lr=1e-5, step_loss=0.0834, td=3.85s]
Steps:   0%|          | 143/30000 [07:55<27:37:33,  3.33s/it, lr=1e-5, step_loss=0.0834, td=3.85s]
Steps:   0%|          | 143/30000 [07:55<27:37:33,  3.33s/it, lr=1e-5, step_loss=0.0529, td=0.10s]
Steps:   0%|          | 144/30000 [07:56<22:07:59,  2.67s/it, lr=1e-5, step_loss=0.0529, td=0.10s]
Steps:   0%|          | 144/30000 [07:56<22:07:59,  2.67s/it, lr=1e-5, step_loss=0.04, td=0.18s]  12/12/2024 16:04:04 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:04:04 - INFO - __main__ - removing checkpoints: motion_module-141.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 145/30000 [08:03<32:25:13,  3.91s/it, lr=1e-5, step_loss=0.04, td=0.18s]
Steps:   0%|          | 145/30000 [08:03<32:25:13,  3.91s/it, lr=1e-5, step_loss=0.0802, td=3.58s]
Steps:   0%|          | 146/30000 [08:05<27:05:16,  3.27s/it, lr=1e-5, step_loss=0.0802, td=3.58s]
Steps:   0%|          | 146/30000 [08:05<27:05:16,  3.27s/it, lr=1e-5, step_loss=0.0574, td=0.09s]
Steps:   0%|          | 147/30000 [08:06<21:46:30,  2.63s/it, lr=1e-5, step_loss=0.0574, td=0.09s]
Steps:   0%|          | 147/30000 [08:06<21:46:30,  2.63s/it, lr=1e-5, step_loss=0.0569, td=0.18s]12/12/2024 16:04:14 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:04:14 - INFO - __main__ - removing checkpoints: motion_module-144.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   0%|          | 148/30000 [08:13<32:01:18,  3.86s/it, lr=1e-5, step_loss=0.0569, td=0.18s]
Steps:   0%|          | 148/30000 [08:13<32:01:18,  3.86s/it, lr=1e-5, step_loss=0.0494, td=3.39s]
Steps:   0%|          | 149/30000 [08:15<26:48:06,  3.23s/it, lr=1e-5, step_loss=0.0494, td=3.39s]
Steps:   0%|          | 149/30000 [08:15<26:48:06,  3.23s/it, lr=1e-5, step_loss=0.0801, td=0.10s]
Steps:   0%|          | 150/30000 [08:16<21:34:30,  2.60s/it, lr=1e-5, step_loss=0.0801, td=0.10s]
Steps:   0%|          | 150/30000 [08:16<21:34:30,  2.60s/it, lr=1e-5, step_loss=0.102, td=0.19s] 12/12/2024 16:04:23 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:04:23 - INFO - __main__ - removing checkpoints: motion_module-147.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 151/30000 [08:22<31:22:57,  3.78s/it, lr=1e-5, step_loss=0.102, td=0.19s]
Steps:   1%|          | 151/30000 [08:22<31:22:57,  3.78s/it, lr=1e-5, step_loss=0.0524, td=3.47s]
Steps:   1%|          | 152/30000 [08:24<26:22:47,  3.18s/it, lr=1e-5, step_loss=0.0524, td=3.47s]
Steps:   1%|          | 152/30000 [08:24<26:22:47,  3.18s/it, lr=1e-5, step_loss=0.0709, td=0.10s]
Steps:   1%|          | 153/30000 [08:25<21:16:02,  2.57s/it, lr=1e-5, step_loss=0.0709, td=0.10s]
Steps:   1%|          | 153/30000 [08:25<21:16:02,  2.57s/it, lr=1e-5, step_loss=0.0829, td=0.19s]12/12/2024 16:04:33 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:04:33 - INFO - __main__ - removing checkpoints: motion_module-150.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 154/30000 [08:32<32:15:01,  3.89s/it, lr=1e-5, step_loss=0.0829, td=0.19s]
Steps:   1%|          | 154/30000 [08:32<32:15:01,  3.89s/it, lr=1e-5, step_loss=0.0538, td=3.70s]
Steps:   1%|          | 155/30000 [08:34<26:39:23,  3.22s/it, lr=1e-5, step_loss=0.0538, td=3.70s]
Steps:   1%|          | 155/30000 [08:34<26:39:23,  3.22s/it, lr=1e-5, step_loss=0.0927, td=0.08s]
Steps:   1%|          | 156/30000 [08:35<21:27:22,  2.59s/it, lr=1e-5, step_loss=0.0927, td=0.08s]
Steps:   1%|          | 156/30000 [08:35<21:27:22,  2.59s/it, lr=1e-5, step_loss=0.0582, td=0.18s]12/12/2024 16:04:43 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:04:43 - INFO - __main__ - removing checkpoints: motion_module-153.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 157/30000 [08:42<32:33:41,  3.93s/it, lr=1e-5, step_loss=0.0582, td=0.18s]
Steps:   1%|          | 157/30000 [08:42<32:33:41,  3.93s/it, lr=1e-5, step_loss=0.0921, td=3.68s]
Steps:   1%|          | 158/30000 [08:44<27:09:29,  3.28s/it, lr=1e-5, step_loss=0.0921, td=3.68s]
Steps:   1%|          | 158/30000 [08:44<27:09:29,  3.28s/it, lr=1e-5, step_loss=0.078, td=0.09s] 
Steps:   1%|          | 159/30000 [08:45<21:48:51,  2.63s/it, lr=1e-5, step_loss=0.078, td=0.09s]
Steps:   1%|          | 159/30000 [08:45<21:48:51,  2.63s/it, lr=1e-5, step_loss=0.0417, td=0.19s]12/12/2024 16:04:53 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:04:53 - INFO - __main__ - removing checkpoints: motion_module-156.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 160/30000 [08:52<32:54:52,  3.97s/it, lr=1e-5, step_loss=0.0417, td=0.19s]
Steps:   1%|          | 160/30000 [08:52<32:54:52,  3.97s/it, lr=1e-5, step_loss=0.0799, td=3.74s]
Steps:   1%|          | 161/30000 [08:54<27:23:29,  3.30s/it, lr=1e-5, step_loss=0.0799, td=3.74s]
Steps:   1%|          | 161/30000 [08:54<27:23:29,  3.30s/it, lr=1e-5, step_loss=0.0519, td=0.08s]
Steps:   1%|          | 162/30000 [08:55<21:59:23,  2.65s/it, lr=1e-5, step_loss=0.0519, td=0.08s]
Steps:   1%|          | 162/30000 [08:55<21:59:23,  2.65s/it, lr=1e-5, step_loss=0.067, td=0.19s] 12/12/2024 16:05:03 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:05:03 - INFO - __main__ - removing checkpoints: motion_module-159.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 163/30000 [09:02<32:21:04,  3.90s/it, lr=1e-5, step_loss=0.067, td=0.19s]
Steps:   1%|          | 163/30000 [09:02<32:21:04,  3.90s/it, lr=1e-5, step_loss=0.084, td=3.56s]
Steps:   1%|          | 164/30000 [09:03<27:00:54,  3.26s/it, lr=1e-5, step_loss=0.084, td=3.56s]
Steps:   1%|          | 164/30000 [09:03<27:00:54,  3.26s/it, lr=1e-5, step_loss=0.0427, td=0.09s]
Steps:   1%|          | 165/30000 [09:05<21:44:39,  2.62s/it, lr=1e-5, step_loss=0.0427, td=0.09s]
Steps:   1%|          | 165/30000 [09:05<21:44:39,  2.62s/it, lr=1e-5, step_loss=0.0848, td=0.20s]12/12/2024 16:05:12 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:05:12 - INFO - __main__ - removing checkpoints: motion_module-162.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 166/30000 [09:12<32:34:06,  3.93s/it, lr=1e-5, step_loss=0.0848, td=0.20s]
Steps:   1%|          | 166/30000 [09:12<32:34:06,  3.93s/it, lr=1e-5, step_loss=0.0485, td=3.54s]
Steps:   1%|          | 167/30000 [09:13<27:11:35,  3.28s/it, lr=1e-5, step_loss=0.0485, td=3.54s]
Steps:   1%|          | 167/30000 [09:13<27:11:35,  3.28s/it, lr=1e-5, step_loss=0.0561, td=0.10s]
Steps:   1%|          | 168/30000 [09:14<21:51:56,  2.64s/it, lr=1e-5, step_loss=0.0561, td=0.10s]
Steps:   1%|          | 168/30000 [09:14<21:51:56,  2.64s/it, lr=1e-5, step_loss=0.0982, td=0.19s]12/12/2024 16:05:22 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:05:22 - INFO - __main__ - removing checkpoints: motion_module-165.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 169/30000 [09:22<33:11:13,  4.01s/it, lr=1e-5, step_loss=0.0982, td=0.19s]
Steps:   1%|          | 169/30000 [09:22<33:11:13,  4.01s/it, lr=1e-5, step_loss=0.0662, td=3.96s]
Steps:   1%|          | 170/30000 [09:23<27:44:26,  3.35s/it, lr=1e-5, step_loss=0.0662, td=3.96s]
Steps:   1%|          | 170/30000 [09:23<27:44:26,  3.35s/it, lr=1e-5, step_loss=0.0659, td=0.12s]
Steps:   1%|          | 171/30000 [09:25<22:41:00,  2.74s/it, lr=1e-5, step_loss=0.0659, td=0.12s]
Steps:   1%|          | 171/30000 [09:25<22:41:00,  2.74s/it, lr=1e-5, step_loss=0.0641, td=0.37s]12/12/2024 16:05:32 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:05:32 - INFO - __main__ - removing checkpoints: motion_module-168.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 172/30000 [09:32<34:30:54,  4.17s/it, lr=1e-5, step_loss=0.0641, td=0.37s]
Steps:   1%|          | 172/30000 [09:32<34:30:54,  4.17s/it, lr=1e-5, step_loss=0.046, td=3.86s] 
Steps:   1%|          | 173/30000 [09:34<28:34:08,  3.45s/it, lr=1e-5, step_loss=0.046, td=3.86s]
Steps:   1%|          | 173/30000 [09:34<28:34:08,  3.45s/it, lr=1e-5, step_loss=0.0738, td=0.09s]
Steps:   1%|          | 174/30000 [09:35<22:51:49,  2.76s/it, lr=1e-5, step_loss=0.0738, td=0.09s]
Steps:   1%|          | 174/30000 [09:35<22:51:49,  2.76s/it, lr=1e-5, step_loss=0.051, td=0.21s] 12/12/2024 16:05:43 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:05:43 - INFO - __main__ - removing checkpoints: motion_module-171.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 175/30000 [09:43<34:31:49,  4.17s/it, lr=1e-5, step_loss=0.051, td=0.21s]
Steps:   1%|          | 175/30000 [09:43<34:31:49,  4.17s/it, lr=1e-5, step_loss=0.0615, td=4.10s]
Steps:   1%|          | 176/30000 [09:44<28:34:23,  3.45s/it, lr=1e-5, step_loss=0.0615, td=4.10s]
Steps:   1%|          | 176/30000 [09:44<28:34:23,  3.45s/it, lr=1e-5, step_loss=0.0579, td=0.10s]
Steps:   1%|          | 177/30000 [09:46<22:55:40,  2.77s/it, lr=1e-5, step_loss=0.0579, td=0.10s]
Steps:   1%|          | 177/30000 [09:46<22:55:40,  2.77s/it, lr=1e-5, step_loss=0.0733, td=0.22s]12/12/2024 16:05:53 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:05:53 - INFO - __main__ - removing checkpoints: motion_module-174.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 178/30000 [09:53<34:04:46,  4.11s/it, lr=1e-5, step_loss=0.0733, td=0.22s]
Steps:   1%|          | 178/30000 [09:53<34:04:46,  4.11s/it, lr=1e-5, step_loss=0.0682, td=3.84s]
Steps:   1%|          | 179/30000 [09:55<28:14:47,  3.41s/it, lr=1e-5, step_loss=0.0682, td=3.84s]
Steps:   1%|          | 179/30000 [09:55<28:14:47,  3.41s/it, lr=1e-5, step_loss=0.0455, td=0.10s]
Steps:   1%|          | 180/30000 [09:56<22:27:36,  2.71s/it, lr=1e-5, step_loss=0.0455, td=0.10s]
Steps:   1%|          | 180/30000 [09:56<22:27:36,  2.71s/it, lr=1e-5, step_loss=0.0535, td=0.19s]12/12/2024 16:06:03 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:06:03 - INFO - __main__ - removing checkpoints: motion_module-177.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|          | 181/30000 [10:03<33:35:16,  4.06s/it, lr=1e-5, step_loss=0.0535, td=0.19s]
Steps:   1%|          | 181/30000 [10:03<33:35:16,  4.06s/it, lr=1e-5, step_loss=0.0509, td=3.75s]
Steps:   1%|          | 182/30000 [10:05<27:38:25,  3.34s/it, lr=1e-5, step_loss=0.0509, td=3.75s]
Steps:   1%|          | 182/30000 [10:05<27:38:25,  3.34s/it, lr=1e-5, step_loss=0.096, td=0.11s] 
Steps:   1%|          | 183/30000 [10:06<22:08:48,  2.67s/it, lr=1e-5, step_loss=0.096, td=0.11s]
Steps:   1%|          | 183/30000 [10:06<22:08:48,  2.67s/it, lr=1e-5, step_loss=0.0506, td=0.19s]12/12/2024 16:06:13 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:06:13 - INFO - __main__ - removing checkpoints: motion_module-180.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 184/30000 [10:13<32:34:13,  3.93s/it, lr=1e-5, step_loss=0.0506, td=0.19s]
Steps:   1%|          | 184/30000 [10:13<32:34:13,  3.93s/it, lr=1e-5, step_loss=0.0657, td=3.67s]
Steps:   1%|          | 185/30000 [10:14<27:08:03,  3.28s/it, lr=1e-5, step_loss=0.0657, td=3.67s]
Steps:   1%|          | 185/30000 [10:14<27:08:03,  3.28s/it, lr=1e-5, step_loss=0.0578, td=0.08s]
Steps:   1%|          | 186/30000 [10:15<21:46:42,  2.63s/it, lr=1e-5, step_loss=0.0578, td=0.08s]
Steps:   1%|          | 186/30000 [10:15<21:46:42,  2.63s/it, lr=1e-5, step_loss=0.0405, td=0.18s]12/12/2024 16:06:23 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:06:23 - INFO - __main__ - removing checkpoints: motion_module-183.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 187/30000 [10:22<32:33:37,  3.93s/it, lr=1e-5, step_loss=0.0405, td=0.18s]
Steps:   1%|          | 187/30000 [10:22<32:33:37,  3.93s/it, lr=1e-5, step_loss=0.0459, td=3.62s]
Steps:   1%|          | 188/30000 [10:24<27:07:25,  3.28s/it, lr=1e-5, step_loss=0.0459, td=3.62s]
Steps:   1%|          | 188/30000 [10:24<27:07:25,  3.28s/it, lr=1e-5, step_loss=0.0809, td=0.08s]
Steps:   1%|          | 189/30000 [10:25<21:46:01,  2.63s/it, lr=1e-5, step_loss=0.0809, td=0.08s]
Steps:   1%|          | 189/30000 [10:25<21:46:01,  2.63s/it, lr=1e-5, step_loss=0.087, td=0.18s] 12/12/2024 16:06:33 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:06:33 - INFO - __main__ - removing checkpoints: motion_module-186.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 190/30000 [10:32<32:21:14,  3.91s/it, lr=1e-5, step_loss=0.087, td=0.18s]
Steps:   1%|          | 190/30000 [10:32<32:21:14,  3.91s/it, lr=1e-5, step_loss=0.0535, td=3.71s]
Steps:   1%|          | 191/30000 [10:34<26:59:39,  3.26s/it, lr=1e-5, step_loss=0.0535, td=3.71s]
Steps:   1%|          | 191/30000 [10:34<26:59:39,  3.26s/it, lr=1e-5, step_loss=0.0696, td=0.08s]
Steps:   1%|          | 192/30000 [10:35<21:42:03,  2.62s/it, lr=1e-5, step_loss=0.0696, td=0.08s]
Steps:   1%|          | 192/30000 [10:35<21:42:03,  2.62s/it, lr=1e-5, step_loss=0.0395, td=0.19s]12/12/2024 16:06:43 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:06:43 - INFO - __main__ - removing checkpoints: motion_module-189.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 193/30000 [10:42<33:07:54,  4.00s/it, lr=1e-5, step_loss=0.0395, td=0.19s]
Steps:   1%|          | 193/30000 [10:42<33:07:54,  4.00s/it, lr=1e-5, step_loss=0.101, td=3.87s] 
Steps:   1%|          | 194/30000 [10:44<27:33:00,  3.33s/it, lr=1e-5, step_loss=0.101, td=3.87s]
Steps:   1%|          | 194/30000 [10:44<27:33:00,  3.33s/it, lr=1e-5, step_loss=0.0523, td=0.09s]
Steps:   1%|          | 195/30000 [10:45<22:05:00,  2.67s/it, lr=1e-5, step_loss=0.0523, td=0.09s]
Steps:   1%|          | 195/30000 [10:45<22:05:00,  2.67s/it, lr=1e-5, step_loss=0.0233, td=0.18s]12/12/2024 16:06:53 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:06:53 - INFO - __main__ - removing checkpoints: motion_module-192.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 196/30000 [10:52<32:50:44,  3.97s/it, lr=1e-5, step_loss=0.0233, td=0.18s]
Steps:   1%|          | 196/30000 [10:52<32:50:44,  3.97s/it, lr=1e-5, step_loss=0.0439, td=3.69s]
Steps:   1%|          | 197/30000 [10:54<27:20:13,  3.30s/it, lr=1e-5, step_loss=0.0439, td=3.69s]
Steps:   1%|          | 197/30000 [10:54<27:20:13,  3.30s/it, lr=1e-5, step_loss=0.109, td=0.08s] 
Steps:   1%|          | 198/30000 [10:55<22:00:02,  2.66s/it, lr=1e-5, step_loss=0.109, td=0.08s]
Steps:   1%|          | 198/30000 [10:55<22:00:02,  2.66s/it, lr=1e-5, step_loss=0.0424, td=0.21s]12/12/2024 16:07:03 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:07:03 - INFO - __main__ - removing checkpoints: motion_module-195.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 199/30000 [11:02<32:59:03,  3.98s/it, lr=1e-5, step_loss=0.0424, td=0.21s]
Steps:   1%|          | 199/30000 [11:02<32:59:03,  3.98s/it, lr=1e-5, step_loss=0.0703, td=3.55s]
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+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
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+sample torch.Size([2, 5, 32, 32])
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+12/12/2024 16:07:20 - INFO - __main__ - removing checkpoints: motion_module-198.pth
+sample torch.Size([2, 5, 32, 32])
+
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+12/12/2024 16:07:30 - INFO - __main__ - removing checkpoints: motion_module-201.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
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+12/12/2024 16:07:40 - INFO - __main__ - removing checkpoints: motion_module-204.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
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+12/12/2024 16:07:49 - INFO - __main__ - removing checkpoints: motion_module-207.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
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+12/12/2024 16:07:59 - INFO - __main__ - removing checkpoints: motion_module-210.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
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+12/12/2024 16:08:09 - INFO - __main__ - removing checkpoints: motion_module-213.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
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+12/12/2024 16:08:19 - INFO - __main__ - removing checkpoints: motion_module-216.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
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+12/12/2024 16:08:29 - INFO - __main__ - removing checkpoints: motion_module-219.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
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+12/12/2024 16:08:39 - INFO - __main__ - removing checkpoints: motion_module-222.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
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+12/12/2024 16:08:49 - INFO - __main__ - removing checkpoints: motion_module-225.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
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Steps:   1%|          | 231/30000 [12:51<21:48:20,  2.64s/it, lr=1e-5, step_loss=0.064, td=0.08s]
Steps:   1%|          | 231/30000 [12:51<21:48:20,  2.64s/it, lr=1e-5, step_loss=0.0281, td=0.22s]12/12/2024 16:08:59 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:08:59 - INFO - __main__ - removing checkpoints: motion_module-228.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 232/30000 [12:58<32:59:04,  3.99s/it, lr=1e-5, step_loss=0.0281, td=0.22s]
Steps:   1%|          | 232/30000 [12:58<32:59:04,  3.99s/it, lr=1e-5, step_loss=0.0404, td=3.92s]
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Steps:   1%|          | 233/30000 [13:00<27:26:35,  3.32s/it, lr=1e-5, step_loss=0.0611, td=0.09s]
Steps:   1%|          | 234/30000 [13:01<21:58:58,  2.66s/it, lr=1e-5, step_loss=0.0611, td=0.09s]
Steps:   1%|          | 234/30000 [13:01<21:58:58,  2.66s/it, lr=1e-5, step_loss=0.0738, td=0.18s]12/12/2024 16:09:09 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:09:09 - INFO - __main__ - removing checkpoints: motion_module-231.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 235/30000 [13:08<33:17:27,  4.03s/it, lr=1e-5, step_loss=0.0738, td=0.18s]
Steps:   1%|          | 235/30000 [13:08<33:17:27,  4.03s/it, lr=1e-5, step_loss=0.0466, td=3.83s]
Steps:   1%|          | 236/30000 [13:10<27:39:02,  3.34s/it, lr=1e-5, step_loss=0.0466, td=3.83s]
Steps:   1%|          | 236/30000 [13:10<27:39:02,  3.34s/it, lr=1e-5, step_loss=0.0584, td=0.08s]
Steps:   1%|          | 237/30000 [13:11<22:07:54,  2.68s/it, lr=1e-5, step_loss=0.0584, td=0.08s]
Steps:   1%|          | 237/30000 [13:11<22:07:54,  2.68s/it, lr=1e-5, step_loss=0.0416, td=0.18s]12/12/2024 16:09:19 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:09:19 - INFO - __main__ - removing checkpoints: motion_module-234.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 238/30000 [13:18<32:45:23,  3.96s/it, lr=1e-5, step_loss=0.0416, td=0.18s]
Steps:   1%|          | 238/30000 [13:18<32:45:23,  3.96s/it, lr=1e-5, step_loss=0.0563, td=3.60s]
Steps:   1%|          | 239/30000 [13:20<27:18:38,  3.30s/it, lr=1e-5, step_loss=0.0563, td=3.60s]
Steps:   1%|          | 239/30000 [13:20<27:18:38,  3.30s/it, lr=1e-5, step_loss=0.0581, td=0.08s]
Steps:   1%|          | 240/30000 [13:21<21:56:21,  2.65s/it, lr=1e-5, step_loss=0.0581, td=0.08s]
Steps:   1%|          | 240/30000 [13:21<21:56:21,  2.65s/it, lr=1e-5, step_loss=0.028, td=0.19s] 12/12/2024 16:09:29 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:09:29 - INFO - __main__ - removing checkpoints: motion_module-237.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 241/30000 [13:28<32:27:40,  3.93s/it, lr=1e-5, step_loss=0.028, td=0.19s]
Steps:   1%|          | 241/30000 [13:28<32:27:40,  3.93s/it, lr=1e-5, step_loss=0.0631, td=3.69s]
Steps:   1%|          | 242/30000 [13:30<27:05:36,  3.28s/it, lr=1e-5, step_loss=0.0631, td=3.69s]
Steps:   1%|          | 242/30000 [13:30<27:05:36,  3.28s/it, lr=1e-5, step_loss=0.0427, td=0.08s]
Steps:   1%|          | 243/30000 [13:31<21:45:36,  2.63s/it, lr=1e-5, step_loss=0.0427, td=0.08s]
Steps:   1%|          | 243/30000 [13:31<21:45:36,  2.63s/it, lr=1e-5, step_loss=0.0324, td=0.18s]12/12/2024 16:09:39 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:09:39 - INFO - __main__ - removing checkpoints: motion_module-240.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 244/30000 [13:38<32:24:34,  3.92s/it, lr=1e-5, step_loss=0.0324, td=0.18s]
Steps:   1%|          | 244/30000 [13:38<32:24:34,  3.92s/it, lr=1e-5, step_loss=0.056, td=3.64s] 
Steps:   1%|          | 245/30000 [13:40<27:01:29,  3.27s/it, lr=1e-5, step_loss=0.056, td=3.64s]
Steps:   1%|          | 245/30000 [13:40<27:01:29,  3.27s/it, lr=1e-5, step_loss=0.043, td=0.08s]
Steps:   1%|          | 246/30000 [13:41<21:42:21,  2.63s/it, lr=1e-5, step_loss=0.043, td=0.08s]
Steps:   1%|          | 246/30000 [13:41<21:42:21,  2.63s/it, lr=1e-5, step_loss=0.0427, td=0.18s]12/12/2024 16:09:48 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:09:48 - INFO - __main__ - removing checkpoints: motion_module-243.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 247/30000 [13:48<32:31:46,  3.94s/it, lr=1e-5, step_loss=0.0427, td=0.18s]
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Steps:   1%|          | 249/30000 [13:51<21:41:08,  2.62s/it, lr=1e-5, step_loss=0.0293, td=0.21s]12/12/2024 16:09:58 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:09:58 - INFO - __main__ - removing checkpoints: motion_module-246.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|          | 250/30000 [13:58<32:40:59,  3.95s/it, lr=1e-5, step_loss=0.0293, td=0.21s]
Steps:   1%|          | 250/30000 [13:58<32:40:59,  3.95s/it, lr=1e-5, step_loss=0.0584, td=3.60s]
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Steps:   1%|          | 252/30000 [14:00<21:52:17,  2.65s/it, lr=1e-5, step_loss=0.056, td=0.08s]
Steps:   1%|          | 252/30000 [14:00<21:52:17,  2.65s/it, lr=1e-5, step_loss=0.0932, td=0.18s]12/12/2024 16:10:08 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:10:08 - INFO - __main__ - removing checkpoints: motion_module-249.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 253/30000 [14:08<33:06:34,  4.01s/it, lr=1e-5, step_loss=0.0932, td=0.18s]
Steps:   1%|          | 253/30000 [14:08<33:06:34,  4.01s/it, lr=1e-5, step_loss=0.0562, td=3.87s]
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Steps:   1%|          | 254/30000 [14:09<27:33:33,  3.34s/it, lr=1e-5, step_loss=0.0552, td=0.09s]
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Steps:   1%|          | 255/30000 [14:11<22:05:30,  2.67s/it, lr=1e-5, step_loss=0.0439, td=0.18s]12/12/2024 16:10:18 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:10:18 - INFO - __main__ - removing checkpoints: motion_module-252.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 256/30000 [14:18<33:02:13,  4.00s/it, lr=1e-5, step_loss=0.0439, td=0.18s]
Steps:   1%|          | 256/30000 [14:18<33:02:13,  4.00s/it, lr=1e-5, step_loss=0.0507, td=3.72s]
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Steps:   1%|          | 257/30000 [14:19<27:29:02,  3.33s/it, lr=1e-5, step_loss=0.0509, td=0.08s]
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Steps:   1%|          | 258/30000 [14:20<21:55:00,  2.65s/it, lr=1e-5, step_loss=0.0708, td=0.22s]12/12/2024 16:10:28 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:10:28 - INFO - __main__ - removing checkpoints: motion_module-255.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|          | 259/30000 [14:28<32:57:38,  3.99s/it, lr=1e-5, step_loss=0.0708, td=0.22s]
Steps:   1%|          | 259/30000 [14:28<32:57:38,  3.99s/it, lr=1e-5, step_loss=0.102, td=3.80s] 
Steps:   1%|          | 260/30000 [14:29<27:26:00,  3.32s/it, lr=1e-5, step_loss=0.102, td=3.80s]
Steps:   1%|          | 260/30000 [14:29<27:26:00,  3.32s/it, lr=1e-5, step_loss=0.0392, td=0.09s]
Steps:   1%|          | 261/30000 [14:30<21:59:56,  2.66s/it, lr=1e-5, step_loss=0.0392, td=0.09s]
Steps:   1%|          | 261/30000 [14:30<21:59:56,  2.66s/it, lr=1e-5, step_loss=0.0374, td=0.18s]12/12/2024 16:10:38 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:10:38 - INFO - __main__ - removing checkpoints: motion_module-258.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 262/30000 [14:38<33:03:27,  4.00s/it, lr=1e-5, step_loss=0.0374, td=0.18s]
Steps:   1%|          | 262/30000 [14:38<33:03:27,  4.00s/it, lr=1e-5, step_loss=0.0778, td=3.79s]
Steps:   1%|          | 263/30000 [14:39<27:30:09,  3.33s/it, lr=1e-5, step_loss=0.0778, td=3.79s]
Steps:   1%|          | 263/30000 [14:39<27:30:09,  3.33s/it, lr=1e-5, step_loss=0.0577, td=0.09s]
Steps:   1%|          | 264/30000 [14:40<22:03:28,  2.67s/it, lr=1e-5, step_loss=0.0577, td=0.09s]
Steps:   1%|          | 264/30000 [14:40<22:03:28,  2.67s/it, lr=1e-5, step_loss=0.0261, td=0.18s]12/12/2024 16:10:48 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:10:48 - INFO - __main__ - removing checkpoints: motion_module-261.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 265/30000 [14:48<33:18:11,  4.03s/it, lr=1e-5, step_loss=0.0261, td=0.18s]
Steps:   1%|          | 265/30000 [14:48<33:18:11,  4.03s/it, lr=1e-5, step_loss=0.0436, td=3.88s]
Steps:   1%|          | 266/30000 [14:49<27:40:49,  3.35s/it, lr=1e-5, step_loss=0.0436, td=3.88s]
Steps:   1%|          | 266/30000 [14:49<27:40:49,  3.35s/it, lr=1e-5, step_loss=0.0694, td=0.09s]
Steps:   1%|          | 267/30000 [14:51<22:10:37,  2.69s/it, lr=1e-5, step_loss=0.0694, td=0.09s]
Steps:   1%|          | 267/30000 [14:51<22:10:37,  2.69s/it, lr=1e-5, step_loss=0.0186, td=0.19s]12/12/2024 16:10:58 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:10:58 - INFO - __main__ - removing checkpoints: motion_module-264.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 268/30000 [14:58<32:53:04,  3.98s/it, lr=1e-5, step_loss=0.0186, td=0.19s]
Steps:   1%|          | 268/30000 [14:58<32:53:04,  3.98s/it, lr=1e-5, step_loss=0.0793, td=3.67s]
Steps:   1%|          | 269/30000 [14:59<27:23:19,  3.32s/it, lr=1e-5, step_loss=0.0793, td=3.67s]
Steps:   1%|          | 269/30000 [14:59<27:23:19,  3.32s/it, lr=1e-5, step_loss=0.0293, td=0.09s]
Steps:   1%|          | 270/30000 [15:01<22:00:26,  2.66s/it, lr=1e-5, step_loss=0.0293, td=0.09s]
Steps:   1%|          | 270/30000 [15:01<22:00:26,  2.66s/it, lr=1e-5, step_loss=0.0764, td=0.20s]12/12/2024 16:11:08 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:11:08 - INFO - __main__ - removing checkpoints: motion_module-267.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 271/30000 [15:08<33:45:28,  4.09s/it, lr=1e-5, step_loss=0.0764, td=0.20s]
Steps:   1%|          | 271/30000 [15:08<33:45:28,  4.09s/it, lr=1e-5, step_loss=0.0697, td=3.89s]
Steps:   1%|          | 272/30000 [15:10<28:00:06,  3.39s/it, lr=1e-5, step_loss=0.0697, td=3.89s]
Steps:   1%|          | 272/30000 [15:10<28:00:06,  3.39s/it, lr=1e-5, step_loss=0.0384, td=0.09s]
Steps:   1%|          | 273/30000 [15:11<22:13:47,  2.69s/it, lr=1e-5, step_loss=0.0384, td=0.09s]
Steps:   1%|          | 273/30000 [15:11<22:13:47,  2.69s/it, lr=1e-5, step_loss=0.0333, td=0.20s]12/12/2024 16:11:18 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:11:18 - INFO - __main__ - removing checkpoints: motion_module-270.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|          | 274/30000 [15:18<33:10:03,  4.02s/it, lr=1e-5, step_loss=0.0333, td=0.20s]
Steps:   1%|          | 274/30000 [15:18<33:10:03,  4.02s/it, lr=1e-5, step_loss=0.0568, td=3.75s]
Steps:   1%|          | 275/30000 [15:20<27:34:00,  3.34s/it, lr=1e-5, step_loss=0.0568, td=3.75s]
Steps:   1%|          | 275/30000 [15:20<27:34:00,  3.34s/it, lr=1e-5, step_loss=0.0602, td=0.09s]
Steps:   1%|          | 276/30000 [15:21<22:05:05,  2.67s/it, lr=1e-5, step_loss=0.0602, td=0.09s]
Steps:   1%|          | 276/30000 [15:21<22:05:05,  2.67s/it, lr=1e-5, step_loss=0.0535, td=0.18s]12/12/2024 16:11:28 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:11:28 - INFO - __main__ - removing checkpoints: motion_module-273.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 277/30000 [15:28<32:37:39,  3.95s/it, lr=1e-5, step_loss=0.0535, td=0.18s]
Steps:   1%|          | 277/30000 [15:28<32:37:39,  3.95s/it, lr=1e-5, step_loss=0.0427, td=3.64s]
Steps:   1%|          | 278/30000 [15:29<27:13:15,  3.30s/it, lr=1e-5, step_loss=0.0427, td=3.64s]
Steps:   1%|          | 278/30000 [15:29<27:13:15,  3.30s/it, lr=1e-5, step_loss=0.0525, td=0.09s]
Steps:   1%|          | 279/30000 [15:31<21:50:32,  2.65s/it, lr=1e-5, step_loss=0.0525, td=0.09s]
Steps:   1%|          | 279/30000 [15:31<21:50:32,  2.65s/it, lr=1e-5, step_loss=0.0689, td=0.18s]12/12/2024 16:11:38 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:11:38 - INFO - __main__ - removing checkpoints: motion_module-276.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 280/30000 [15:38<32:32:46,  3.94s/it, lr=1e-5, step_loss=0.0689, td=0.18s]
Steps:   1%|          | 280/30000 [15:38<32:32:46,  3.94s/it, lr=1e-5, step_loss=0.0547, td=3.62s]
Steps:   1%|          | 281/30000 [15:39<27:11:50,  3.29s/it, lr=1e-5, step_loss=0.0547, td=3.62s]
Steps:   1%|          | 281/30000 [15:39<27:11:50,  3.29s/it, lr=1e-5, step_loss=0.0416, td=0.11s]
Steps:   1%|          | 282/30000 [15:40<21:52:08,  2.65s/it, lr=1e-5, step_loss=0.0416, td=0.11s]
Steps:   1%|          | 282/30000 [15:40<21:52:08,  2.65s/it, lr=1e-5, step_loss=0.0547, td=0.20s]12/12/2024 16:11:48 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:11:48 - INFO - __main__ - removing checkpoints: motion_module-279.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 283/30000 [15:48<34:02:01,  4.12s/it, lr=1e-5, step_loss=0.0547, td=0.20s]
Steps:   1%|          | 283/30000 [15:48<34:02:01,  4.12s/it, lr=1e-5, step_loss=0.0442, td=4.27s]
Steps:   1%|          | 284/30000 [15:50<28:12:34,  3.42s/it, lr=1e-5, step_loss=0.0442, td=4.27s]
Steps:   1%|          | 284/30000 [15:50<28:12:34,  3.42s/it, lr=1e-5, step_loss=0.06, td=0.10s]  
Steps:   1%|          | 285/30000 [15:51<22:32:33,  2.73s/it, lr=1e-5, step_loss=0.06, td=0.10s]
Steps:   1%|          | 285/30000 [15:51<22:32:33,  2.73s/it, lr=1e-5, step_loss=0.019, td=0.18s]12/12/2024 16:11:59 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:11:59 - INFO - __main__ - removing checkpoints: motion_module-282.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 286/30000 [15:58<32:31:44,  3.94s/it, lr=1e-5, step_loss=0.019, td=0.18s]
Steps:   1%|          | 286/30000 [15:58<32:31:44,  3.94s/it, lr=1e-5, step_loss=0.0621, td=3.51s]
Steps:   1%|          | 287/30000 [15:59<27:12:42,  3.30s/it, lr=1e-5, step_loss=0.0621, td=3.51s]
Steps:   1%|          | 287/30000 [15:59<27:12:42,  3.30s/it, lr=1e-5, step_loss=0.055, td=0.11s] 
Steps:   1%|          | 288/30000 [16:01<21:59:49,  2.67s/it, lr=1e-5, step_loss=0.055, td=0.11s]
Steps:   1%|          | 288/30000 [16:01<21:59:49,  2.67s/it, lr=1e-5, step_loss=0.0722, td=0.25s]12/12/2024 16:12:08 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:12:08 - INFO - __main__ - removing checkpoints: motion_module-285.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 289/30000 [16:09<35:00:31,  4.24s/it, lr=1e-5, step_loss=0.0722, td=0.25s]
Steps:   1%|          | 289/30000 [16:09<35:00:31,  4.24s/it, lr=1e-5, step_loss=0.0639, td=4.35s]
Steps:   1%|          | 290/30000 [16:10<28:50:47,  3.50s/it, lr=1e-5, step_loss=0.0639, td=4.35s]
Steps:   1%|          | 290/30000 [16:10<28:50:47,  3.50s/it, lr=1e-5, step_loss=0.0504, td=0.08s]
Steps:   1%|          | 291/30000 [16:11<23:00:21,  2.79s/it, lr=1e-5, step_loss=0.0504, td=0.08s]
Steps:   1%|          | 291/30000 [16:11<23:00:21,  2.79s/it, lr=1e-5, step_loss=0.0451, td=0.19s]12/12/2024 16:12:19 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:12:19 - INFO - __main__ - removing checkpoints: motion_module-288.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 292/30000 [16:19<33:58:26,  4.12s/it, lr=1e-5, step_loss=0.0451, td=0.19s]
Steps:   1%|          | 292/30000 [16:19<33:58:26,  4.12s/it, lr=1e-5, step_loss=0.0518, td=3.65s]
Steps:   1%|          | 293/30000 [16:20<28:09:51,  3.41s/it, lr=1e-5, step_loss=0.0518, td=3.65s]
Steps:   1%|          | 293/30000 [16:20<28:09:51,  3.41s/it, lr=1e-5, step_loss=0.0501, td=0.09s]
Steps:   1%|          | 294/30000 [16:22<22:35:45,  2.74s/it, lr=1e-5, step_loss=0.0501, td=0.09s]
Steps:   1%|          | 294/30000 [16:22<22:35:45,  2.74s/it, lr=1e-5, step_loss=0.0553, td=0.22s]12/12/2024 16:12:29 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:12:29 - INFO - __main__ - removing checkpoints: motion_module-291.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 295/30000 [16:29<32:50:59,  3.98s/it, lr=1e-5, step_loss=0.0553, td=0.22s]
Steps:   1%|          | 295/30000 [16:29<32:50:59,  3.98s/it, lr=1e-5, step_loss=0.0627, td=3.60s]
Steps:   1%|          | 296/30000 [16:30<27:20:27,  3.31s/it, lr=1e-5, step_loss=0.0627, td=3.60s]
Steps:   1%|          | 296/30000 [16:30<27:20:27,  3.31s/it, lr=1e-5, step_loss=0.0459, td=0.08s]
Steps:   1%|          | 297/30000 [16:31<21:59:24,  2.67s/it, lr=1e-5, step_loss=0.0459, td=0.08s]
Steps:   1%|          | 297/30000 [16:31<21:59:24,  2.67s/it, lr=1e-5, step_loss=0.0435, td=0.19s]12/12/2024 16:12:39 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:12:39 - INFO - __main__ - removing checkpoints: motion_module-294.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 298/30000 [16:38<32:48:01,  3.98s/it, lr=1e-5, step_loss=0.0435, td=0.19s]
Steps:   1%|          | 298/30000 [16:38<32:48:01,  3.98s/it, lr=1e-5, step_loss=0.0457, td=3.69s]
Steps:   1%|          | 299/30000 [16:40<27:18:26,  3.31s/it, lr=1e-5, step_loss=0.0457, td=3.69s]
Steps:   1%|          | 299/30000 [16:40<27:18:26,  3.31s/it, lr=1e-5, step_loss=0.0265, td=0.08s]
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Steps:   1%|          | 300/30000 [16:41<21:59:38,  2.67s/it, lr=1e-5, step_loss=0.119, td=0.21s] 12/12/2024 16:12:49 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:12:49 - INFO - __main__ - removing checkpoints: motion_module-297.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 301/30000 [16:48<33:00:50,  4.00s/it, lr=1e-5, step_loss=0.119, td=0.21s]
Steps:   1%|          | 301/30000 [16:48<33:00:50,  4.00s/it, lr=1e-5, step_loss=0.0633, td=3.83s]
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Steps:   1%|          | 303/30000 [16:51<22:00:47,  2.67s/it, lr=1e-5, step_loss=0.0634, td=0.18s]12/12/2024 16:12:59 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:12:59 - INFO - __main__ - removing checkpoints: motion_module-300.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 304/30000 [16:58<32:39:36,  3.96s/it, lr=1e-5, step_loss=0.0634, td=0.18s]
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Steps:   1%|          | 306/30000 [17:01<21:51:05,  2.65s/it, lr=1e-5, step_loss=0.0196, td=0.18s]12/12/2024 16:13:09 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:13:09 - INFO - __main__ - removing checkpoints: motion_module-303.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 307/30000 [17:09<33:41:15,  4.08s/it, lr=1e-5, step_loss=0.0196, td=0.18s]
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+12/12/2024 16:13:19 - INFO - __main__ - removing checkpoints: motion_module-306.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 310/30000 [17:19<33:21:43,  4.05s/it, lr=1e-5, step_loss=0.0634, td=0.18s]
Steps:   1%|          | 310/30000 [17:19<33:21:43,  4.05s/it, lr=1e-5, step_loss=0.0311, td=3.84s]
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Steps:   1%|          | 312/30000 [17:22<22:21:34,  2.71s/it, lr=1e-5, step_loss=0.0901, td=0.17s]12/12/2024 16:13:29 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:13:29 - INFO - __main__ - removing checkpoints: motion_module-309.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 313/30000 [17:29<33:08:29,  4.02s/it, lr=1e-5, step_loss=0.0901, td=0.17s]
Steps:   1%|          | 313/30000 [17:29<33:08:29,  4.02s/it, lr=1e-5, step_loss=0.0652, td=3.69s]
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Steps:   1%|          | 315/30000 [17:32<22:03:19,  2.67s/it, lr=1e-5, step_loss=0.017, td=0.18s] 12/12/2024 16:13:39 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:13:39 - INFO - __main__ - removing checkpoints: motion_module-312.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 316/30000 [17:39<33:02:39,  4.01s/it, lr=1e-5, step_loss=0.017, td=0.18s]
Steps:   1%|          | 316/30000 [17:39<33:02:39,  4.01s/it, lr=1e-5, step_loss=0.0461, td=3.74s]
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Steps:   1%|          | 318/30000 [17:41<21:40:01,  2.63s/it, lr=1e-5, step_loss=0.0257, td=0.20s]12/12/2024 16:13:49 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:13:49 - INFO - __main__ - removing checkpoints: motion_module-315.pth
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|          | 319/30000 [17:48<32:13:58,  3.91s/it, lr=1e-5, step_loss=0.0257, td=0.20s]
Steps:   1%|          | 319/30000 [17:48<32:13:58,  3.91s/it, lr=1e-5, step_loss=0.0511, td=3.64s]
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Steps:   1%|          | 320/30000 [17:50<26:57:15,  3.27s/it, lr=1e-5, step_loss=0.0475, td=0.10s]
Steps:   1%|          | 321/30000 [17:51<21:39:29,  2.63s/it, lr=1e-5, step_loss=0.0475, td=0.10s]
Steps:   1%|          | 321/30000 [17:51<21:39:29,  2.63s/it, lr=1e-5, step_loss=0.0282, td=0.19s]12/12/2024 16:13:59 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:13:59 - INFO - __main__ - removing checkpoints: motion_module-318.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 322/30000 [17:59<33:06:13,  4.02s/it, lr=1e-5, step_loss=0.0282, td=0.19s]
Steps:   1%|          | 322/30000 [17:59<33:06:13,  4.02s/it, lr=1e-5, step_loss=0.0491, td=3.90s]
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Steps:   1%|          | 323/30000 [18:00<27:30:44,  3.34s/it, lr=1e-5, step_loss=0.0427, td=0.08s]
Steps:   1%|          | 324/30000 [18:01<22:05:21,  2.68s/it, lr=1e-5, step_loss=0.0427, td=0.08s]
Steps:   1%|          | 324/30000 [18:01<22:05:21,  2.68s/it, lr=1e-5, step_loss=0.0548, td=0.20s]12/12/2024 16:14:09 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:14:09 - INFO - __main__ - removing checkpoints: motion_module-321.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 325/30000 [18:09<33:26:35,  4.06s/it, lr=1e-5, step_loss=0.0548, td=0.20s]
Steps:   1%|          | 325/30000 [18:09<33:26:35,  4.06s/it, lr=1e-5, step_loss=0.0297, td=3.77s]
Steps:   1%|          | 326/30000 [18:11<27:50:31,  3.38s/it, lr=1e-5, step_loss=0.0297, td=3.77s]
Steps:   1%|          | 326/30000 [18:11<27:50:31,  3.38s/it, lr=1e-5, step_loss=0.0764, td=0.12s]
Steps:   1%|          | 327/30000 [18:12<22:21:59,  2.71s/it, lr=1e-5, step_loss=0.0764, td=0.12s]
Steps:   1%|          | 327/30000 [18:12<22:21:59,  2.71s/it, lr=1e-5, step_loss=0.043, td=0.22s] 12/12/2024 16:14:19 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:14:19 - INFO - __main__ - removing checkpoints: motion_module-324.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 328/30000 [18:19<33:37:36,  4.08s/it, lr=1e-5, step_loss=0.043, td=0.22s]
Steps:   1%|          | 328/30000 [18:19<33:37:36,  4.08s/it, lr=1e-5, step_loss=0.0285, td=3.84s]
Steps:   1%|          | 329/30000 [18:21<27:52:25,  3.38s/it, lr=1e-5, step_loss=0.0285, td=3.84s]
Steps:   1%|          | 329/30000 [18:21<27:52:25,  3.38s/it, lr=1e-5, step_loss=0.0285, td=0.08s]
Steps:   1%|          | 330/30000 [18:22<22:17:41,  2.71s/it, lr=1e-5, step_loss=0.0285, td=0.08s]
Steps:   1%|          | 330/30000 [18:22<22:17:41,  2.71s/it, lr=1e-5, step_loss=0.0771, td=0.18s]12/12/2024 16:14:30 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:14:30 - INFO - __main__ - removing checkpoints: motion_module-327.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 331/30000 [18:29<32:33:31,  3.95s/it, lr=1e-5, step_loss=0.0771, td=0.18s]
Steps:   1%|          | 331/30000 [18:29<32:33:31,  3.95s/it, lr=1e-5, step_loss=0.0319, td=3.61s]
Steps:   1%|          | 332/30000 [18:30<27:08:18,  3.29s/it, lr=1e-5, step_loss=0.0319, td=3.61s]
Steps:   1%|          | 332/30000 [18:30<27:08:18,  3.29s/it, lr=1e-5, step_loss=0.0461, td=0.08s]
Steps:   1%|          | 333/30000 [18:32<21:45:04,  2.64s/it, lr=1e-5, step_loss=0.0461, td=0.08s]
Steps:   1%|          | 333/30000 [18:32<21:45:04,  2.64s/it, lr=1e-5, step_loss=0.112, td=0.17s] 12/12/2024 16:14:39 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:14:39 - INFO - __main__ - removing checkpoints: motion_module-330.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 334/30000 [18:39<32:50:49,  3.99s/it, lr=1e-5, step_loss=0.112, td=0.17s]
Steps:   1%|          | 334/30000 [18:39<32:50:49,  3.99s/it, lr=1e-5, step_loss=0.077, td=3.69s]
Steps:   1%|          | 335/30000 [18:40<27:03:22,  3.28s/it, lr=1e-5, step_loss=0.077, td=3.69s]
Steps:   1%|          | 335/30000 [18:40<27:03:22,  3.28s/it, lr=1e-5, step_loss=0.0601, td=0.08s]
Steps:   1%|          | 336/30000 [18:41<21:45:44,  2.64s/it, lr=1e-5, step_loss=0.0601, td=0.08s]
Steps:   1%|          | 336/30000 [18:41<21:45:44,  2.64s/it, lr=1e-5, step_loss=0.0197, td=0.20s]12/12/2024 16:14:49 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:14:49 - INFO - __main__ - removing checkpoints: motion_module-333.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 337/30000 [18:48<32:21:19,  3.93s/it, lr=1e-5, step_loss=0.0197, td=0.20s]
Steps:   1%|          | 337/30000 [18:48<32:21:19,  3.93s/it, lr=1e-5, step_loss=0.0471, td=3.68s]
Steps:   1%|          | 338/30000 [18:50<27:01:14,  3.28s/it, lr=1e-5, step_loss=0.0471, td=3.68s]
Steps:   1%|          | 338/30000 [18:50<27:01:14,  3.28s/it, lr=1e-5, step_loss=0.0486, td=0.09s]
Steps:   1%|          | 339/30000 [18:51<21:29:30,  2.61s/it, lr=1e-5, step_loss=0.0486, td=0.09s]
Steps:   1%|          | 339/30000 [18:51<21:29:30,  2.61s/it, lr=1e-5, step_loss=0.108, td=0.18s] 12/12/2024 16:14:59 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:14:59 - INFO - __main__ - removing checkpoints: motion_module-336.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|          | 340/30000 [18:58<31:40:30,  3.84s/it, lr=1e-5, step_loss=0.108, td=0.18s]
Steps:   1%|          | 340/30000 [18:58<31:40:30,  3.84s/it, lr=1e-5, step_loss=0.0235, td=3.59s]
Steps:   1%|          | 341/30000 [19:00<26:32:22,  3.22s/it, lr=1e-5, step_loss=0.0235, td=3.59s]
Steps:   1%|          | 341/30000 [19:00<26:32:22,  3.22s/it, lr=1e-5, step_loss=0.0632, td=0.09s]
Steps:   1%|          | 342/30000 [19:01<21:21:34,  2.59s/it, lr=1e-5, step_loss=0.0632, td=0.09s]
Steps:   1%|          | 342/30000 [19:01<21:21:34,  2.59s/it, lr=1e-5, step_loss=0.0725, td=0.18s]12/12/2024 16:15:09 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:15:09 - INFO - __main__ - removing checkpoints: motion_module-339.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 343/30000 [19:08<32:49:47,  3.99s/it, lr=1e-5, step_loss=0.0725, td=0.18s]
Steps:   1%|          | 343/30000 [19:08<32:49:47,  3.99s/it, lr=1e-5, step_loss=0.0302, td=3.82s]
Steps:   1%|          | 344/30000 [19:10<27:20:38,  3.32s/it, lr=1e-5, step_loss=0.0302, td=3.82s]
Steps:   1%|          | 344/30000 [19:10<27:20:38,  3.32s/it, lr=1e-5, step_loss=0.0357, td=0.09s]
Steps:   1%|          | 345/30000 [19:11<22:18:50,  2.71s/it, lr=1e-5, step_loss=0.0357, td=0.09s]
Steps:   1%|          | 345/30000 [19:11<22:18:50,  2.71s/it, lr=1e-5, step_loss=0.0524, td=0.34s]12/12/2024 16:15:19 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:15:19 - INFO - __main__ - removing checkpoints: motion_module-342.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 346/30000 [19:18<33:10:26,  4.03s/it, lr=1e-5, step_loss=0.0524, td=0.34s]
Steps:   1%|          | 346/30000 [19:18<33:10:26,  4.03s/it, lr=1e-5, step_loss=0.0371, td=3.71s]
Steps:   1%|          | 347/30000 [19:20<27:33:47,  3.35s/it, lr=1e-5, step_loss=0.0371, td=3.71s]
Steps:   1%|          | 347/30000 [19:20<27:33:47,  3.35s/it, lr=1e-5, step_loss=0.0615, td=0.09s]
Steps:   1%|          | 348/30000 [19:21<21:54:52,  2.66s/it, lr=1e-5, step_loss=0.0615, td=0.09s]
Steps:   1%|          | 348/30000 [19:21<21:54:52,  2.66s/it, lr=1e-5, step_loss=0.0611, td=0.20s]12/12/2024 16:15:29 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:15:29 - INFO - __main__ - removing checkpoints: motion_module-345.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|          | 349/30000 [19:28<32:06:05,  3.90s/it, lr=1e-5, step_loss=0.0611, td=0.20s]
Steps:   1%|          | 349/30000 [19:28<32:06:05,  3.90s/it, lr=1e-5, step_loss=0.0379, td=3.53s]
Steps:   1%|          | 350/30000 [19:30<26:50:39,  3.26s/it, lr=1e-5, step_loss=0.0379, td=3.53s]
Steps:   1%|          | 350/30000 [19:30<26:50:39,  3.26s/it, lr=1e-5, step_loss=0.0545, td=0.09s]
Steps:   1%|          | 351/30000 [19:31<21:38:47,  2.63s/it, lr=1e-5, step_loss=0.0545, td=0.09s]
Steps:   1%|          | 351/30000 [19:31<21:38:47,  2.63s/it, lr=1e-5, step_loss=0.0486, td=0.21s]12/12/2024 16:15:38 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:15:38 - INFO - __main__ - removing checkpoints: motion_module-348.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 352/30000 [19:38<32:02:01,  3.89s/it, lr=1e-5, step_loss=0.0486, td=0.21s]
Steps:   1%|          | 352/30000 [19:38<32:02:01,  3.89s/it, lr=1e-5, step_loss=0.0327, td=3.61s]
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+12/12/2024 16:15:48 - INFO - __main__ - removing checkpoints: motion_module-351.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
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Steps:   1%|          | 355/30000 [19:48<32:38:19,  3.96s/it, lr=1e-5, step_loss=0.0295, td=3.75s]
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Steps:   1%|          | 357/30000 [19:50<21:48:36,  2.65s/it, lr=1e-5, step_loss=0.0613, td=0.18s]12/12/2024 16:15:58 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:15:58 - INFO - __main__ - removing checkpoints: motion_module-354.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 358/30000 [19:58<33:28:05,  4.06s/it, lr=1e-5, step_loss=0.0613, td=0.18s]
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Steps:   1%|          | 360/30000 [20:01<22:16:25,  2.71s/it, lr=1e-5, step_loss=0.061, td=0.20s] 12/12/2024 16:16:08 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:16:08 - INFO - __main__ - removing checkpoints: motion_module-357.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 361/30000 [20:08<33:17:50,  4.04s/it, lr=1e-5, step_loss=0.061, td=0.20s]
Steps:   1%|          | 361/30000 [20:08<33:17:50,  4.04s/it, lr=1e-5, step_loss=0.0594, td=3.83s]
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Steps:   1%|          | 363/30000 [20:11<22:06:13,  2.68s/it, lr=1e-5, step_loss=0.0391, td=0.18s]12/12/2024 16:16:18 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:16:18 - INFO - __main__ - removing checkpoints: motion_module-360.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 364/30000 [20:18<32:57:21,  4.00s/it, lr=1e-5, step_loss=0.0391, td=0.18s]
Steps:   1%|          | 364/30000 [20:18<32:57:21,  4.00s/it, lr=1e-5, step_loss=0.0506, td=3.71s]
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Steps:   1%|          | 366/30000 [20:21<21:50:13,  2.65s/it, lr=1e-5, step_loss=0.0153, td=0.21s]12/12/2024 16:16:28 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:16:28 - INFO - __main__ - removing checkpoints: motion_module-363.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|          | 367/30000 [20:28<32:43:03,  3.97s/it, lr=1e-5, step_loss=0.0153, td=0.21s]
Steps:   1%|          | 367/30000 [20:28<32:43:03,  3.97s/it, lr=1e-5, step_loss=0.0395, td=3.71s]
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Steps:   1%|          | 369/30000 [20:31<21:54:22,  2.66s/it, lr=1e-5, step_loss=0.0549, td=0.20s]12/12/2024 16:16:38 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:16:38 - INFO - __main__ - removing checkpoints: motion_module-366.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 370/30000 [20:38<32:32:30,  3.95s/it, lr=1e-5, step_loss=0.0549, td=0.20s]
Steps:   1%|          | 370/30000 [20:38<32:32:30,  3.95s/it, lr=1e-5, step_loss=0.0762, td=3.77s]
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Steps:   1%|          | 371/30000 [20:39<27:08:07,  3.30s/it, lr=1e-5, step_loss=0.0406, td=0.09s]
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Steps:   1%|          | 372/30000 [20:41<21:45:37,  2.64s/it, lr=1e-5, step_loss=0.0383, td=0.18s]12/12/2024 16:16:48 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:16:48 - INFO - __main__ - removing checkpoints: motion_module-369.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|          | 373/30000 [20:48<32:34:20,  3.96s/it, lr=1e-5, step_loss=0.0383, td=0.18s]
Steps:   1%|          | 373/30000 [20:48<32:34:20,  3.96s/it, lr=1e-5, step_loss=0.065, td=3.73s] 
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+12/12/2024 16:16:58 - INFO - __main__ - removing checkpoints: motion_module-372.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 376/30000 [20:57<32:34:28,  3.96s/it, lr=1e-5, step_loss=0.0434, td=0.22s]
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+12/12/2024 16:17:08 - INFO - __main__ - removing checkpoints: motion_module-375.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 379/30000 [21:07<32:35:39,  3.96s/it, lr=1e-5, step_loss=0.0342, td=0.18s]
Steps:   1%|▏         | 379/30000 [21:07<32:35:39,  3.96s/it, lr=1e-5, step_loss=0.0692, td=3.76s]
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Steps:   1%|▏         | 380/30000 [21:09<27:10:07,  3.30s/it, lr=1e-5, step_loss=0.0354, td=0.09s]
Steps:   1%|▏         | 381/30000 [21:10<21:51:10,  2.66s/it, lr=1e-5, step_loss=0.0354, td=0.09s]
Steps:   1%|▏         | 381/30000 [21:10<21:51:10,  2.66s/it, lr=1e-5, step_loss=0.0201, td=0.20s]12/12/2024 16:17:18 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:17:18 - INFO - __main__ - removing checkpoints: motion_module-378.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 382/30000 [21:17<32:25:18,  3.94s/it, lr=1e-5, step_loss=0.0201, td=0.20s]
Steps:   1%|▏         | 382/30000 [21:17<32:25:18,  3.94s/it, lr=1e-5, step_loss=0.0655, td=3.71s]
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Steps:   1%|▏         | 384/30000 [21:20<21:41:21,  2.64s/it, lr=1e-5, step_loss=0.023, td=0.18s] 12/12/2024 16:17:28 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:17:28 - INFO - __main__ - removing checkpoints: motion_module-381.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 385/30000 [21:27<32:24:07,  3.94s/it, lr=1e-5, step_loss=0.023, td=0.18s]
Steps:   1%|▏         | 385/30000 [21:27<32:24:07,  3.94s/it, lr=1e-5, step_loss=0.0514, td=3.72s]
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Steps:   1%|▏         | 386/30000 [21:29<27:01:43,  3.29s/it, lr=1e-5, step_loss=0.0506, td=0.09s]
Steps:   1%|▏         | 387/30000 [21:30<21:40:34,  2.64s/it, lr=1e-5, step_loss=0.0506, td=0.09s]
Steps:   1%|▏         | 387/30000 [21:30<21:40:34,  2.64s/it, lr=1e-5, step_loss=0.0671, td=0.17s]12/12/2024 16:17:38 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:17:38 - INFO - __main__ - removing checkpoints: motion_module-384.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 388/30000 [21:37<32:25:53,  3.94s/it, lr=1e-5, step_loss=0.0671, td=0.17s]
Steps:   1%|▏         | 388/30000 [21:37<32:25:53,  3.94s/it, lr=1e-5, step_loss=0.0188, td=3.75s]
Steps:   1%|▏         | 389/30000 [21:39<27:03:49,  3.29s/it, lr=1e-5, step_loss=0.0188, td=3.75s]
Steps:   1%|▏         | 389/30000 [21:39<27:03:49,  3.29s/it, lr=1e-5, step_loss=0.0551, td=0.09s]
Steps:   1%|▏         | 390/30000 [21:40<21:42:26,  2.64s/it, lr=1e-5, step_loss=0.0551, td=0.09s]
Steps:   1%|▏         | 390/30000 [21:40<21:42:26,  2.64s/it, lr=1e-5, step_loss=0.0426, td=0.18s]12/12/2024 16:17:47 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:17:47 - INFO - __main__ - removing checkpoints: motion_module-387.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 391/30000 [21:47<32:39:43,  3.97s/it, lr=1e-5, step_loss=0.0426, td=0.18s]
Steps:   1%|▏         | 391/30000 [21:47<32:39:43,  3.97s/it, lr=1e-5, step_loss=0.035, td=3.71s] 
Steps:   1%|▏         | 392/30000 [21:49<27:12:31,  3.31s/it, lr=1e-5, step_loss=0.035, td=3.71s]
Steps:   1%|▏         | 392/30000 [21:49<27:12:31,  3.31s/it, lr=1e-5, step_loss=0.051, td=0.09s]
Steps:   1%|▏         | 393/30000 [21:50<21:47:58,  2.65s/it, lr=1e-5, step_loss=0.051, td=0.09s]
Steps:   1%|▏         | 393/30000 [21:50<21:47:58,  2.65s/it, lr=1e-5, step_loss=0.0616, td=0.18s]12/12/2024 16:17:57 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:17:57 - INFO - __main__ - removing checkpoints: motion_module-390.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 394/30000 [21:57<32:20:12,  3.93s/it, lr=1e-5, step_loss=0.0616, td=0.18s]
Steps:   1%|▏         | 394/30000 [21:57<32:20:12,  3.93s/it, lr=1e-5, step_loss=0.0569, td=3.76s]
Steps:   1%|▏         | 395/30000 [21:58<26:58:55,  3.28s/it, lr=1e-5, step_loss=0.0569, td=3.76s]
Steps:   1%|▏         | 395/30000 [21:58<26:58:55,  3.28s/it, lr=1e-5, step_loss=0.0458, td=0.09s]
Steps:   1%|▏         | 396/30000 [22:00<21:38:43,  2.63s/it, lr=1e-5, step_loss=0.0458, td=0.09s]
Steps:   1%|▏         | 396/30000 [22:00<21:38:43,  2.63s/it, lr=1e-5, step_loss=0.0412, td=0.18s]12/12/2024 16:18:07 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:18:07 - INFO - __main__ - removing checkpoints: motion_module-393.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 397/30000 [22:07<33:16:15,  4.05s/it, lr=1e-5, step_loss=0.0412, td=0.18s]
Steps:   1%|▏         | 397/30000 [22:07<33:16:15,  4.05s/it, lr=1e-5, step_loss=0.0734, td=4.00s]
Steps:   1%|▏         | 398/30000 [22:09<27:40:16,  3.37s/it, lr=1e-5, step_loss=0.0734, td=4.00s]
Steps:   1%|▏         | 398/30000 [22:09<27:40:16,  3.37s/it, lr=1e-5, step_loss=0.027, td=0.09s] 
Steps:   1%|▏         | 399/30000 [22:10<22:08:51,  2.69s/it, lr=1e-5, step_loss=0.027, td=0.09s]
Steps:   1%|▏         | 399/30000 [22:10<22:08:51,  2.69s/it, lr=1e-5, step_loss=0.045, td=0.18s]12/12/2024 16:18:17 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:18:17 - INFO - __main__ - removing checkpoints: motion_module-396.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 400/30000 [22:18<34:56:48,  4.25s/it, lr=1e-5, step_loss=0.045, td=0.18s]12/12/2024 16:18:25 - INFO - __main__ - Running validation... 
+sample torch.Size([4, 5, 32, 32])
+
+
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+
100%|██████████| 20/20 [00:03<00:00,  5.69it/s]
100%|██████████| 20/20 [00:03<00:00,  5.59it/s]
+sample torch.Size([2, 5, 32, 32])
+
+
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+
 58%|█████▊    | 14/24 [00:00<00:00, 132.18it/s]
100%|██████████| 24/24 [00:00<00:00, 119.62it/s]
+
Steps:   1%|▏         | 400/30000 [22:24<34:56:48,  4.25s/it, lr=1e-5, step_loss=0.0163, td=4.49s]
Steps:   1%|▏         | 401/30000 [22:26<45:14:22,  5.50s/it, lr=1e-5, step_loss=0.0163, td=4.49s]
Steps:   1%|▏         | 401/30000 [22:26<45:14:22,  5.50s/it, lr=1e-5, step_loss=0.0651, td=0.21s]
Steps:   1%|▏         | 402/30000 [22:27<34:34:39,  4.21s/it, lr=1e-5, step_loss=0.0651, td=0.21s]
Steps:   1%|▏         | 402/30000 [22:27<34:34:39,  4.21s/it, lr=1e-5, step_loss=0.0652, td=0.22s]12/12/2024 16:18:35 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:18:35 - INFO - __main__ - removing checkpoints: motion_module-399.pth
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 403/30000 [22:34<41:44:14,  5.08s/it, lr=1e-5, step_loss=0.0652, td=0.22s]
Steps:   1%|▏         | 403/30000 [22:34<41:44:14,  5.08s/it, lr=1e-5, step_loss=0.0682, td=3.73s]
Steps:   1%|▏         | 404/30000 [22:36<33:40:24,  4.10s/it, lr=1e-5, step_loss=0.0682, td=3.73s]
Steps:   1%|▏         | 404/30000 [22:36<33:40:24,  4.10s/it, lr=1e-5, step_loss=0.0356, td=0.09s]
Steps:   1%|▏         | 405/30000 [22:37<26:24:16,  3.21s/it, lr=1e-5, step_loss=0.0356, td=0.09s]
Steps:   1%|▏         | 405/30000 [22:37<26:24:16,  3.21s/it, lr=1e-5, step_loss=0.0192, td=0.19s]12/12/2024 16:18:45 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:18:45 - INFO - __main__ - removing checkpoints: motion_module-402.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 406/30000 [22:44<35:45:57,  4.35s/it, lr=1e-5, step_loss=0.0192, td=0.19s]
Steps:   1%|▏         | 406/30000 [22:44<35:45:57,  4.35s/it, lr=1e-5, step_loss=0.0349, td=3.68s]
Steps:   1%|▏         | 407/30000 [22:46<29:28:56,  3.59s/it, lr=1e-5, step_loss=0.0349, td=3.68s]
Steps:   1%|▏         | 407/30000 [22:46<29:28:56,  3.59s/it, lr=1e-5, step_loss=0.077, td=0.10s] 
Steps:   1%|▏         | 408/30000 [22:47<23:27:51,  2.85s/it, lr=1e-5, step_loss=0.077, td=0.10s]
Steps:   1%|▏         | 408/30000 [22:47<23:27:51,  2.85s/it, lr=1e-5, step_loss=0.0269, td=0.18s]12/12/2024 16:18:55 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:18:55 - INFO - __main__ - removing checkpoints: motion_module-405.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 409/30000 [22:54<34:04:57,  4.15s/it, lr=1e-5, step_loss=0.0269, td=0.18s]
Steps:   1%|▏         | 409/30000 [22:54<34:04:57,  4.15s/it, lr=1e-5, step_loss=0.0383, td=3.69s]
Steps:   1%|▏         | 410/30000 [22:56<28:17:26,  3.44s/it, lr=1e-5, step_loss=0.0383, td=3.69s]
Steps:   1%|▏         | 410/30000 [22:56<28:17:26,  3.44s/it, lr=1e-5, step_loss=0.0399, td=0.09s]
Steps:   1%|▏         | 411/30000 [22:57<22:40:47,  2.76s/it, lr=1e-5, step_loss=0.0399, td=0.09s]
Steps:   1%|▏         | 411/30000 [22:57<22:40:47,  2.76s/it, lr=1e-5, step_loss=0.0663, td=0.21s]12/12/2024 16:19:05 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:19:05 - INFO - __main__ - removing checkpoints: motion_module-408.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 412/30000 [23:05<33:47:25,  4.11s/it, lr=1e-5, step_loss=0.0663, td=0.21s]
Steps:   1%|▏         | 412/30000 [23:05<33:47:25,  4.11s/it, lr=1e-5, step_loss=0.047, td=4.00s] 
Steps:   1%|▏         | 413/30000 [23:06<28:04:13,  3.42s/it, lr=1e-5, step_loss=0.047, td=4.00s]
Steps:   1%|▏         | 413/30000 [23:06<28:04:13,  3.42s/it, lr=1e-5, step_loss=0.0371, td=0.08s]
Steps:   1%|▏         | 414/30000 [23:08<22:27:17,  2.73s/it, lr=1e-5, step_loss=0.0371, td=0.08s]
Steps:   1%|▏         | 414/30000 [23:08<22:27:17,  2.73s/it, lr=1e-5, step_loss=0.0369, td=0.18s]12/12/2024 16:19:15 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:19:15 - INFO - __main__ - removing checkpoints: motion_module-411.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 415/30000 [23:15<33:23:56,  4.06s/it, lr=1e-5, step_loss=0.0369, td=0.18s]
Steps:   1%|▏         | 415/30000 [23:15<33:23:56,  4.06s/it, lr=1e-5, step_loss=0.0266, td=3.82s]
Steps:   1%|▏         | 416/30000 [23:17<27:46:58,  3.38s/it, lr=1e-5, step_loss=0.0266, td=3.82s]
Steps:   1%|▏         | 416/30000 [23:17<27:46:58,  3.38s/it, lr=1e-5, step_loss=0.0368, td=0.08s]
Steps:   1%|▏         | 417/30000 [23:18<22:15:33,  2.71s/it, lr=1e-5, step_loss=0.0368, td=0.08s]
Steps:   1%|▏         | 417/30000 [23:18<22:15:33,  2.71s/it, lr=1e-5, step_loss=0.0755, td=0.18s]12/12/2024 16:19:25 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:19:25 - INFO - __main__ - removing checkpoints: motion_module-414.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 418/30000 [23:25<32:48:06,  3.99s/it, lr=1e-5, step_loss=0.0755, td=0.18s]
Steps:   1%|▏         | 418/30000 [23:25<32:48:06,  3.99s/it, lr=1e-5, step_loss=0.0669, td=3.70s]
Steps:   1%|▏         | 419/30000 [23:27<27:25:55,  3.34s/it, lr=1e-5, step_loss=0.0669, td=3.70s]
Steps:   1%|▏         | 419/30000 [23:27<27:25:55,  3.34s/it, lr=1e-5, step_loss=0.0269, td=0.11s]
Steps:   1%|▏         | 420/30000 [23:28<22:00:42,  2.68s/it, lr=1e-5, step_loss=0.0269, td=0.11s]
Steps:   1%|▏         | 420/30000 [23:28<22:00:42,  2.68s/it, lr=1e-5, step_loss=0.0199, td=0.18s]12/12/2024 16:19:35 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:19:35 - INFO - __main__ - removing checkpoints: motion_module-417.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 421/30000 [23:35<32:23:26,  3.94s/it, lr=1e-5, step_loss=0.0199, td=0.18s]
Steps:   1%|▏         | 421/30000 [23:35<32:23:26,  3.94s/it, lr=1e-5, step_loss=0.0235, td=3.51s]
Steps:   1%|▏         | 422/30000 [23:36<27:06:34,  3.30s/it, lr=1e-5, step_loss=0.0235, td=3.51s]
Steps:   1%|▏         | 422/30000 [23:36<27:06:34,  3.30s/it, lr=1e-5, step_loss=0.0304, td=0.09s]
Steps:   1%|▏         | 423/30000 [23:38<21:51:04,  2.66s/it, lr=1e-5, step_loss=0.0304, td=0.09s]
Steps:   1%|▏         | 423/30000 [23:38<21:51:04,  2.66s/it, lr=1e-5, step_loss=0.0768, td=0.20s]12/12/2024 16:19:45 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:19:45 - INFO - __main__ - removing checkpoints: motion_module-420.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 424/30000 [23:45<33:02:38,  4.02s/it, lr=1e-5, step_loss=0.0768, td=0.20s]
Steps:   1%|▏         | 424/30000 [23:45<33:02:38,  4.02s/it, lr=1e-5, step_loss=0.0641, td=3.77s]
Steps:   1%|▏         | 425/30000 [23:47<27:32:22,  3.35s/it, lr=1e-5, step_loss=0.0641, td=3.77s]
Steps:   1%|▏         | 425/30000 [23:47<27:32:22,  3.35s/it, lr=1e-5, step_loss=0.0282, td=0.08s]
Steps:   1%|▏         | 426/30000 [23:48<22:04:55,  2.69s/it, lr=1e-5, step_loss=0.0282, td=0.08s]
Steps:   1%|▏         | 426/30000 [23:48<22:04:55,  2.69s/it, lr=1e-5, step_loss=0.0705, td=0.18s]12/12/2024 16:19:55 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:19:55 - INFO - __main__ - removing checkpoints: motion_module-423.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 427/30000 [23:55<32:46:01,  3.99s/it, lr=1e-5, step_loss=0.0705, td=0.18s]
Steps:   1%|▏         | 427/30000 [23:55<32:46:01,  3.99s/it, lr=1e-5, step_loss=0.0507, td=3.74s]
Steps:   1%|▏         | 428/30000 [23:56<27:20:51,  3.33s/it, lr=1e-5, step_loss=0.0507, td=3.74s]
Steps:   1%|▏         | 428/30000 [23:56<27:20:51,  3.33s/it, lr=1e-5, step_loss=0.0396, td=0.08s]
Steps:   1%|▏         | 429/30000 [23:58<21:49:16,  2.66s/it, lr=1e-5, step_loss=0.0396, td=0.08s]
Steps:   1%|▏         | 429/30000 [23:58<21:49:16,  2.66s/it, lr=1e-5, step_loss=0.0204, td=0.20s]12/12/2024 16:20:05 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:20:05 - INFO - __main__ - removing checkpoints: motion_module-426.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|▏         | 430/30000 [24:05<33:44:34,  4.11s/it, lr=1e-5, step_loss=0.0204, td=0.20s]
Steps:   1%|▏         | 430/30000 [24:05<33:44:34,  4.11s/it, lr=1e-5, step_loss=0.0502, td=4.08s]
Steps:   1%|▏         | 431/30000 [24:07<28:02:43,  3.41s/it, lr=1e-5, step_loss=0.0502, td=4.08s]
Steps:   1%|▏         | 431/30000 [24:07<28:02:43,  3.41s/it, lr=1e-5, step_loss=0.0328, td=0.08s]
Steps:   1%|▏         | 432/30000 [24:08<22:27:28,  2.73s/it, lr=1e-5, step_loss=0.0328, td=0.08s]
Steps:   1%|▏         | 432/30000 [24:08<22:27:28,  2.73s/it, lr=1e-5, step_loss=0.0517, td=0.18s]12/12/2024 16:20:16 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:20:16 - INFO - __main__ - removing checkpoints: motion_module-429.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 433/30000 [24:15<32:30:23,  3.96s/it, lr=1e-5, step_loss=0.0517, td=0.18s]
Steps:   1%|▏         | 433/30000 [24:15<32:30:23,  3.96s/it, lr=1e-5, step_loss=0.0467, td=3.59s]
Steps:   1%|▏         | 434/30000 [24:17<27:09:59,  3.31s/it, lr=1e-5, step_loss=0.0467, td=3.59s]
Steps:   1%|▏         | 434/30000 [24:17<27:09:59,  3.31s/it, lr=1e-5, step_loss=0.0277, td=0.08s]
Steps:   1%|▏         | 435/30000 [24:18<21:37:28,  2.63s/it, lr=1e-5, step_loss=0.0277, td=0.08s]
Steps:   1%|▏         | 435/30000 [24:18<21:37:28,  2.63s/it, lr=1e-5, step_loss=0.0599, td=0.18s]12/12/2024 16:20:25 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:20:25 - INFO - __main__ - removing checkpoints: motion_module-432.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   1%|▏         | 436/30000 [24:25<32:14:59,  3.93s/it, lr=1e-5, step_loss=0.0599, td=0.18s]
Steps:   1%|▏         | 436/30000 [24:25<32:14:59,  3.93s/it, lr=1e-5, step_loss=0.0356, td=3.64s]
Steps:   1%|▏         | 437/30000 [24:26<27:00:39,  3.29s/it, lr=1e-5, step_loss=0.0356, td=3.64s]
Steps:   1%|▏         | 437/30000 [24:26<27:00:39,  3.29s/it, lr=1e-5, step_loss=0.0572, td=0.09s]
Steps:   1%|▏         | 438/30000 [24:28<21:47:13,  2.65s/it, lr=1e-5, step_loss=0.0572, td=0.09s]
Steps:   1%|▏         | 438/30000 [24:28<21:47:13,  2.65s/it, lr=1e-5, step_loss=0.02, td=0.21s]  12/12/2024 16:20:35 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:20:35 - INFO - __main__ - removing checkpoints: motion_module-435.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 439/30000 [24:35<32:34:30,  3.97s/it, lr=1e-5, step_loss=0.02, td=0.21s]
Steps:   1%|▏         | 439/30000 [24:35<32:34:30,  3.97s/it, lr=1e-5, step_loss=0.0431, td=3.69s]
Steps:   1%|▏         | 440/30000 [24:36<27:12:57,  3.31s/it, lr=1e-5, step_loss=0.0431, td=3.69s]
Steps:   1%|▏         | 440/30000 [24:36<27:12:57,  3.31s/it, lr=1e-5, step_loss=0.0331, td=0.08s]
Steps:   1%|▏         | 441/30000 [24:38<21:55:45,  2.67s/it, lr=1e-5, step_loss=0.0331, td=0.08s]
Steps:   1%|▏         | 441/30000 [24:38<21:55:45,  2.67s/it, lr=1e-5, step_loss=0.0424, td=0.21s]12/12/2024 16:20:45 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:20:45 - INFO - __main__ - removing checkpoints: motion_module-438.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 442/30000 [24:45<32:49:51,  4.00s/it, lr=1e-5, step_loss=0.0424, td=0.21s]
Steps:   1%|▏         | 442/30000 [24:45<32:49:51,  4.00s/it, lr=1e-5, step_loss=0.0484, td=3.85s]
Steps:   1%|▏         | 443/30000 [24:46<27:23:57,  3.34s/it, lr=1e-5, step_loss=0.0484, td=3.85s]
Steps:   1%|▏         | 443/30000 [24:46<27:23:57,  3.34s/it, lr=1e-5, step_loss=0.0259, td=0.08s]
Steps:   1%|▏         | 444/30000 [24:48<22:01:52,  2.68s/it, lr=1e-5, step_loss=0.0259, td=0.08s]
Steps:   1%|▏         | 444/30000 [24:48<22:01:52,  2.68s/it, lr=1e-5, step_loss=0.0631, td=0.19s]12/12/2024 16:20:55 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:20:55 - INFO - __main__ - removing checkpoints: motion_module-441.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 445/30000 [24:55<33:44:02,  4.11s/it, lr=1e-5, step_loss=0.0631, td=0.19s]
Steps:   1%|▏         | 445/30000 [24:55<33:44:02,  4.11s/it, lr=1e-5, step_loss=0.068, td=4.03s] 
Steps:   1%|▏         | 446/30000 [24:57<28:03:56,  3.42s/it, lr=1e-5, step_loss=0.068, td=4.03s]
Steps:   1%|▏         | 446/30000 [24:57<28:03:56,  3.42s/it, lr=1e-5, step_loss=0.0328, td=0.10s]
Steps:   1%|▏         | 447/30000 [24:58<22:33:31,  2.75s/it, lr=1e-5, step_loss=0.0328, td=0.10s]
Steps:   1%|▏         | 447/30000 [24:58<22:33:31,  2.75s/it, lr=1e-5, step_loss=0.0107, td=0.22s]12/12/2024 16:21:06 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:21:06 - INFO - __main__ - removing checkpoints: motion_module-444.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   1%|▏         | 448/30000 [25:05<33:33:08,  4.09s/it, lr=1e-5, step_loss=0.0107, td=0.22s]
Steps:   1%|▏         | 448/30000 [25:05<33:33:08,  4.09s/it, lr=1e-5, step_loss=0.0463, td=3.93s]
Steps:   1%|▏         | 449/30000 [25:07<27:54:05,  3.40s/it, lr=1e-5, step_loss=0.0463, td=3.93s]
Steps:   1%|▏         | 449/30000 [25:07<27:54:05,  3.40s/it, lr=1e-5, step_loss=0.0463, td=0.09s]
Steps:   2%|▏         | 450/30000 [25:08<22:22:46,  2.73s/it, lr=1e-5, step_loss=0.0463, td=0.09s]
Steps:   2%|▏         | 450/30000 [25:08<22:22:46,  2.73s/it, lr=1e-5, step_loss=0.0276, td=0.19s]12/12/2024 16:21:16 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:21:16 - INFO - __main__ - removing checkpoints: motion_module-447.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 451/30000 [25:15<33:14:47,  4.05s/it, lr=1e-5, step_loss=0.0276, td=0.19s]
Steps:   2%|▏         | 451/30000 [25:15<33:14:47,  4.05s/it, lr=1e-5, step_loss=0.0467, td=3.81s]
Steps:   2%|▏         | 452/30000 [25:17<27:40:01,  3.37s/it, lr=1e-5, step_loss=0.0467, td=3.81s]
Steps:   2%|▏         | 452/30000 [25:17<27:40:01,  3.37s/it, lr=1e-5, step_loss=0.0252, td=0.08s]
Steps:   2%|▏         | 453/30000 [25:18<22:11:38,  2.70s/it, lr=1e-5, step_loss=0.0252, td=0.08s]
Steps:   2%|▏         | 453/30000 [25:18<22:11:38,  2.70s/it, lr=1e-5, step_loss=0.059, td=0.18s] 12/12/2024 16:21:26 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:21:26 - INFO - __main__ - removing checkpoints: motion_module-450.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 454/30000 [25:25<33:01:38,  4.02s/it, lr=1e-5, step_loss=0.059, td=0.18s]
Steps:   2%|▏         | 454/30000 [25:25<33:01:38,  4.02s/it, lr=1e-5, step_loss=0.0358, td=3.67s]
Steps:   2%|▏         | 455/30000 [25:27<27:30:52,  3.35s/it, lr=1e-5, step_loss=0.0358, td=3.67s]
Steps:   2%|▏         | 455/30000 [25:27<27:30:52,  3.35s/it, lr=1e-5, step_loss=0.0237, td=0.08s]
Steps:   2%|▏         | 456/30000 [25:28<22:03:16,  2.69s/it, lr=1e-5, step_loss=0.0237, td=0.08s]
Steps:   2%|▏         | 456/30000 [25:28<22:03:16,  2.69s/it, lr=1e-5, step_loss=0.082, td=0.18s] 12/12/2024 16:21:36 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:21:36 - INFO - __main__ - removing checkpoints: motion_module-453.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 457/30000 [25:35<32:44:19,  3.99s/it, lr=1e-5, step_loss=0.082, td=0.18s]
Steps:   2%|▏         | 457/30000 [25:35<32:44:19,  3.99s/it, lr=1e-5, step_loss=0.0484, td=3.70s]
Steps:   2%|▏         | 458/30000 [25:37<27:20:33,  3.33s/it, lr=1e-5, step_loss=0.0484, td=3.70s]
Steps:   2%|▏         | 458/30000 [25:37<27:20:33,  3.33s/it, lr=1e-5, step_loss=0.0481, td=0.08s]
Steps:   2%|▏         | 459/30000 [25:38<21:57:34,  2.68s/it, lr=1e-5, step_loss=0.0481, td=0.08s]
Steps:   2%|▏         | 459/30000 [25:38<21:57:34,  2.68s/it, lr=1e-5, step_loss=0.0283, td=0.18s]12/12/2024 16:21:46 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:21:46 - INFO - __main__ - removing checkpoints: motion_module-456.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 460/30000 [25:45<32:56:03,  4.01s/it, lr=1e-5, step_loss=0.0283, td=0.18s]
Steps:   2%|▏         | 460/30000 [25:45<32:56:03,  4.01s/it, lr=1e-5, step_loss=0.0446, td=3.59s]
Steps:   2%|▏         | 461/30000 [25:47<27:27:34,  3.35s/it, lr=1e-5, step_loss=0.0446, td=3.59s]
Steps:   2%|▏         | 461/30000 [25:47<27:27:34,  3.35s/it, lr=1e-5, step_loss=0.042, td=0.08s] 
Steps:   2%|▏         | 462/30000 [25:48<22:01:49,  2.68s/it, lr=1e-5, step_loss=0.042, td=0.08s]
Steps:   2%|▏         | 462/30000 [25:48<22:01:49,  2.68s/it, lr=1e-5, step_loss=0.0435, td=0.18s]12/12/2024 16:21:56 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:21:56 - INFO - __main__ - removing checkpoints: motion_module-459.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 463/30000 [25:55<32:37:19,  3.98s/it, lr=1e-5, step_loss=0.0435, td=0.18s]
Steps:   2%|▏         | 463/30000 [25:55<32:37:19,  3.98s/it, lr=1e-5, step_loss=0.0359, td=3.54s]
Steps:   2%|▏         | 464/30000 [25:57<27:14:49,  3.32s/it, lr=1e-5, step_loss=0.0359, td=3.54s]
Steps:   2%|▏         | 464/30000 [25:57<27:14:49,  3.32s/it, lr=1e-5, step_loss=0.0564, td=0.08s]
Steps:   2%|▏         | 465/30000 [25:58<21:53:58,  2.67s/it, lr=1e-5, step_loss=0.0564, td=0.08s]
Steps:   2%|▏         | 465/30000 [25:58<21:53:58,  2.67s/it, lr=1e-5, step_loss=0.0697, td=0.18s]12/12/2024 16:22:06 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:22:06 - INFO - __main__ - removing checkpoints: motion_module-462.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 466/30000 [26:06<33:24:12,  4.07s/it, lr=1e-5, step_loss=0.0697, td=0.18s]
Steps:   2%|▏         | 466/30000 [26:06<33:24:12,  4.07s/it, lr=1e-5, step_loss=0.0554, td=3.96s]
Steps:   2%|▏         | 467/30000 [26:07<27:48:17,  3.39s/it, lr=1e-5, step_loss=0.0554, td=3.96s]
Steps:   2%|▏         | 467/30000 [26:07<27:48:17,  3.39s/it, lr=1e-5, step_loss=0.0257, td=0.09s]
Steps:   2%|▏         | 468/30000 [26:09<22:15:31,  2.71s/it, lr=1e-5, step_loss=0.0257, td=0.09s]
Steps:   2%|▏         | 468/30000 [26:09<22:15:31,  2.71s/it, lr=1e-5, step_loss=0.031, td=0.18s] 12/12/2024 16:22:16 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:22:16 - INFO - __main__ - removing checkpoints: motion_module-465.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 469/30000 [26:16<33:21:40,  4.07s/it, lr=1e-5, step_loss=0.031, td=0.18s]
Steps:   2%|▏         | 469/30000 [26:16<33:21:40,  4.07s/it, lr=1e-5, step_loss=0.0411, td=3.90s]
Steps:   2%|▏         | 470/30000 [26:18<27:45:27,  3.38s/it, lr=1e-5, step_loss=0.0411, td=3.90s]
Steps:   2%|▏         | 470/30000 [26:18<27:45:27,  3.38s/it, lr=1e-5, step_loss=0.0471, td=0.08s]
Steps:   2%|▏         | 471/30000 [26:19<22:18:18,  2.72s/it, lr=1e-5, step_loss=0.0471, td=0.08s]
Steps:   2%|▏         | 471/30000 [26:19<22:18:18,  2.72s/it, lr=1e-5, step_loss=0.036, td=0.20s] 12/12/2024 16:22:26 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:22:26 - INFO - __main__ - removing checkpoints: motion_module-468.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 472/30000 [26:26<33:26:41,  4.08s/it, lr=1e-5, step_loss=0.036, td=0.20s]
Steps:   2%|▏         | 472/30000 [26:26<33:26:41,  4.08s/it, lr=1e-5, step_loss=0.0296, td=3.94s]
Steps:   2%|▏         | 473/30000 [26:28<27:50:53,  3.40s/it, lr=1e-5, step_loss=0.0296, td=3.94s]
Steps:   2%|▏         | 473/30000 [26:28<27:50:53,  3.40s/it, lr=1e-5, step_loss=0.045, td=0.08s] 
Steps:   2%|▏         | 474/30000 [26:29<22:18:53,  2.72s/it, lr=1e-5, step_loss=0.045, td=0.08s]
Steps:   2%|▏         | 474/30000 [26:29<22:18:53,  2.72s/it, lr=1e-5, step_loss=0.0198, td=0.19s]12/12/2024 16:22:37 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:22:37 - INFO - __main__ - removing checkpoints: motion_module-471.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 475/30000 [26:36<33:31:22,  4.09s/it, lr=1e-5, step_loss=0.0198, td=0.19s]
Steps:   2%|▏         | 475/30000 [26:36<33:31:22,  4.09s/it, lr=1e-5, step_loss=0.0345, td=3.65s]
Steps:   2%|▏         | 476/30000 [26:38<27:52:11,  3.40s/it, lr=1e-5, step_loss=0.0345, td=3.65s]
Steps:   2%|▏         | 476/30000 [26:38<27:52:11,  3.40s/it, lr=1e-5, step_loss=0.0534, td=0.08s]
Steps:   2%|▏         | 477/30000 [26:39<22:23:41,  2.73s/it, lr=1e-5, step_loss=0.0534, td=0.08s]
Steps:   2%|▏         | 477/30000 [26:39<22:23:41,  2.73s/it, lr=1e-5, step_loss=0.0932, td=0.22s]12/12/2024 16:22:47 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:22:47 - INFO - __main__ - removing checkpoints: motion_module-474.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 478/30000 [26:46<33:13:52,  4.05s/it, lr=1e-5, step_loss=0.0932, td=0.22s]
Steps:   2%|▏         | 478/30000 [26:46<33:13:52,  4.05s/it, lr=1e-5, step_loss=0.0306, td=3.72s]
Steps:   2%|▏         | 479/30000 [26:48<27:40:14,  3.37s/it, lr=1e-5, step_loss=0.0306, td=3.72s]
Steps:   2%|▏         | 479/30000 [26:48<27:40:14,  3.37s/it, lr=1e-5, step_loss=0.0763, td=0.09s]
Steps:   2%|▏         | 480/30000 [26:49<22:09:36,  2.70s/it, lr=1e-5, step_loss=0.0763, td=0.09s]
Steps:   2%|▏         | 480/30000 [26:49<22:09:36,  2.70s/it, lr=1e-5, step_loss=0.0101, td=0.18s]12/12/2024 16:22:57 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:22:57 - INFO - __main__ - removing checkpoints: motion_module-477.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 481/30000 [26:56<32:14:51,  3.93s/it, lr=1e-5, step_loss=0.0101, td=0.18s]
Steps:   2%|▏         | 481/30000 [26:56<32:14:51,  3.93s/it, lr=1e-5, step_loss=0.0589, td=3.68s]
Steps:   2%|▏         | 482/30000 [26:58<27:00:19,  3.29s/it, lr=1e-5, step_loss=0.0589, td=3.68s]
Steps:   2%|▏         | 482/30000 [26:58<27:00:19,  3.29s/it, lr=1e-5, step_loss=0.0243, td=0.09s]
Steps:   2%|▏         | 483/30000 [26:59<21:48:14,  2.66s/it, lr=1e-5, step_loss=0.0243, td=0.09s]
Steps:   2%|▏         | 483/30000 [26:59<21:48:14,  2.66s/it, lr=1e-5, step_loss=0.0474, td=0.22s]12/12/2024 16:23:07 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:23:07 - INFO - __main__ - removing checkpoints: motion_module-480.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 484/30000 [27:06<32:39:12,  3.98s/it, lr=1e-5, step_loss=0.0474, td=0.22s]
Steps:   2%|▏         | 484/30000 [27:06<32:39:12,  3.98s/it, lr=1e-5, step_loss=0.0381, td=3.81s]
Steps:   2%|▏         | 485/30000 [27:08<27:15:50,  3.33s/it, lr=1e-5, step_loss=0.0381, td=3.81s]
Steps:   2%|▏         | 485/30000 [27:08<27:15:50,  3.33s/it, lr=1e-5, step_loss=0.0303, td=0.08s]
Steps:   2%|▏         | 486/30000 [27:09<21:57:07,  2.68s/it, lr=1e-5, step_loss=0.0303, td=0.08s]
Steps:   2%|▏         | 486/30000 [27:09<21:57:07,  2.68s/it, lr=1e-5, step_loss=0.0185, td=0.21s]12/12/2024 16:23:17 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:23:17 - INFO - __main__ - removing checkpoints: motion_module-483.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 487/30000 [27:16<32:18:16,  3.94s/it, lr=1e-5, step_loss=0.0185, td=0.21s]
Steps:   2%|▏         | 487/30000 [27:16<32:18:16,  3.94s/it, lr=1e-5, step_loss=0.016, td=3.68s] 
Steps:   2%|▏         | 488/30000 [27:18<27:01:23,  3.30s/it, lr=1e-5, step_loss=0.016, td=3.68s]
Steps:   2%|▏         | 488/30000 [27:18<27:01:23,  3.30s/it, lr=1e-5, step_loss=0.0529, td=0.09s]
Steps:   2%|▏         | 489/30000 [27:19<21:43:10,  2.65s/it, lr=1e-5, step_loss=0.0529, td=0.09s]
Steps:   2%|▏         | 489/30000 [27:19<21:43:10,  2.65s/it, lr=1e-5, step_loss=0.0198, td=0.18s]12/12/2024 16:23:27 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:23:27 - INFO - __main__ - removing checkpoints: motion_module-486.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 490/30000 [27:26<32:15:19,  3.93s/it, lr=1e-5, step_loss=0.0198, td=0.18s]
Steps:   2%|▏         | 490/30000 [27:26<32:15:19,  3.93s/it, lr=1e-5, step_loss=0.0432, td=3.72s]
Steps:   2%|▏         | 491/30000 [27:27<26:43:40,  3.26s/it, lr=1e-5, step_loss=0.0432, td=3.72s]
Steps:   2%|▏         | 491/30000 [27:27<26:43:40,  3.26s/it, lr=1e-5, step_loss=0.0337, td=0.09s]
Steps:   2%|▏         | 492/30000 [27:29<21:29:40,  2.62s/it, lr=1e-5, step_loss=0.0337, td=0.09s]
Steps:   2%|▏         | 492/30000 [27:29<21:29:40,  2.62s/it, lr=1e-5, step_loss=0.0474, td=0.18s]12/12/2024 16:23:36 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:23:36 - INFO - __main__ - removing checkpoints: motion_module-489.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 493/30000 [27:36<32:06:29,  3.92s/it, lr=1e-5, step_loss=0.0474, td=0.18s]
Steps:   2%|▏         | 493/30000 [27:36<32:06:29,  3.92s/it, lr=1e-5, step_loss=0.0361, td=3.73s]
Steps:   2%|▏         | 494/30000 [27:37<26:53:41,  3.28s/it, lr=1e-5, step_loss=0.0361, td=3.73s]
Steps:   2%|▏         | 494/30000 [27:37<26:53:41,  3.28s/it, lr=1e-5, step_loss=0.0325, td=0.09s]
Steps:   2%|▏         | 495/30000 [27:38<21:36:36,  2.64s/it, lr=1e-5, step_loss=0.0325, td=0.09s]
Steps:   2%|▏         | 495/30000 [27:38<21:36:36,  2.64s/it, lr=1e-5, step_loss=0.0309, td=0.17s]12/12/2024 16:23:46 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:23:46 - INFO - __main__ - removing checkpoints: motion_module-492.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 496/30000 [27:46<32:23:35,  3.95s/it, lr=1e-5, step_loss=0.0309, td=0.17s]
Steps:   2%|▏         | 496/30000 [27:46<32:23:35,  3.95s/it, lr=1e-5, step_loss=0.0547, td=3.62s]
Steps:   2%|▏         | 497/30000 [27:47<27:05:13,  3.31s/it, lr=1e-5, step_loss=0.0547, td=3.62s]
Steps:   2%|▏         | 497/30000 [27:47<27:05:13,  3.31s/it, lr=1e-5, step_loss=0.0193, td=0.09s]
Steps:   2%|▏         | 498/30000 [27:48<21:45:17,  2.65s/it, lr=1e-5, step_loss=0.0193, td=0.09s]
Steps:   2%|▏         | 498/30000 [27:48<21:45:17,  2.65s/it, lr=1e-5, step_loss=0.0499, td=0.17s]12/12/2024 16:23:56 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:23:56 - INFO - __main__ - removing checkpoints: motion_module-495.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 499/30000 [27:56<32:35:37,  3.98s/it, lr=1e-5, step_loss=0.0499, td=0.17s]
Steps:   2%|▏         | 499/30000 [27:56<32:35:37,  3.98s/it, lr=1e-5, step_loss=0.0418, td=3.65s]
Steps:   2%|▏         | 500/30000 [27:57<27:13:26,  3.32s/it, lr=1e-5, step_loss=0.0418, td=3.65s]
Steps:   2%|▏         | 500/30000 [27:57<27:13:26,  3.32s/it, lr=1e-5, step_loss=0.0439, td=0.09s]
Steps:   2%|▏         | 501/30000 [27:58<21:51:48,  2.67s/it, lr=1e-5, step_loss=0.0439, td=0.09s]
Steps:   2%|▏         | 501/30000 [27:58<21:51:48,  2.67s/it, lr=1e-5, step_loss=0.0106, td=0.18s]12/12/2024 16:24:06 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:24:06 - INFO - __main__ - removing checkpoints: motion_module-498.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 502/30000 [28:06<33:14:46,  4.06s/it, lr=1e-5, step_loss=0.0106, td=0.18s]
Steps:   2%|▏         | 502/30000 [28:06<33:14:46,  4.06s/it, lr=1e-5, step_loss=0.0461, td=3.91s]
Steps:   2%|▏         | 503/30000 [28:08<27:41:59,  3.38s/it, lr=1e-5, step_loss=0.0461, td=3.91s]
Steps:   2%|▏         | 503/30000 [28:08<27:41:59,  3.38s/it, lr=1e-5, step_loss=0.0372, td=0.09s]
Steps:   2%|▏         | 504/30000 [28:09<22:14:09,  2.71s/it, lr=1e-5, step_loss=0.0372, td=0.09s]
Steps:   2%|▏         | 504/30000 [28:09<22:14:09,  2.71s/it, lr=1e-5, step_loss=0.0475, td=0.19s]12/12/2024 16:24:16 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:24:16 - INFO - __main__ - removing checkpoints: motion_module-501.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 505/30000 [28:16<32:41:24,  3.99s/it, lr=1e-5, step_loss=0.0475, td=0.19s]
Steps:   2%|▏         | 505/30000 [28:16<32:41:24,  3.99s/it, lr=1e-5, step_loss=0.0477, td=3.81s]
Steps:   2%|▏         | 506/30000 [28:17<27:17:30,  3.33s/it, lr=1e-5, step_loss=0.0477, td=3.81s]
Steps:   2%|▏         | 506/30000 [28:17<27:17:30,  3.33s/it, lr=1e-5, step_loss=0.0243, td=0.08s]
Steps:   2%|▏         | 507/30000 [28:19<21:56:23,  2.68s/it, lr=1e-5, step_loss=0.0243, td=0.08s]
Steps:   2%|▏         | 507/30000 [28:19<21:56:23,  2.68s/it, lr=1e-5, step_loss=0.06, td=0.19s]  12/12/2024 16:24:26 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:24:26 - INFO - __main__ - removing checkpoints: motion_module-504.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 508/30000 [28:26<32:29:48,  3.97s/it, lr=1e-5, step_loss=0.06, td=0.19s]
Steps:   2%|▏         | 508/30000 [28:26<32:29:48,  3.97s/it, lr=1e-5, step_loss=0.0615, td=3.67s]
Steps:   2%|▏         | 509/30000 [28:27<27:08:36,  3.31s/it, lr=1e-5, step_loss=0.0615, td=3.67s]
Steps:   2%|▏         | 509/30000 [28:27<27:08:36,  3.31s/it, lr=1e-5, step_loss=0.0226, td=0.09s]
Steps:   2%|▏         | 510/30000 [28:29<21:47:58,  2.66s/it, lr=1e-5, step_loss=0.0226, td=0.09s]
Steps:   2%|▏         | 510/30000 [28:29<21:47:58,  2.66s/it, lr=1e-5, step_loss=0.055, td=0.18s] 12/12/2024 16:24:36 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:24:36 - INFO - __main__ - removing checkpoints: motion_module-507.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 511/30000 [28:36<32:36:30,  3.98s/it, lr=1e-5, step_loss=0.055, td=0.18s]
Steps:   2%|▏         | 511/30000 [28:36<32:36:30,  3.98s/it, lr=1e-5, step_loss=0.0299, td=3.81s]
Steps:   2%|▏         | 512/30000 [28:37<27:12:54,  3.32s/it, lr=1e-5, step_loss=0.0299, td=3.81s]
Steps:   2%|▏         | 512/30000 [28:37<27:12:54,  3.32s/it, lr=1e-5, step_loss=0.0331, td=0.08s]
Steps:   2%|▏         | 513/30000 [28:38<21:50:57,  2.67s/it, lr=1e-5, step_loss=0.0331, td=0.08s]
Steps:   2%|▏         | 513/30000 [28:39<21:50:57,  2.67s/it, lr=1e-5, step_loss=0.0349, td=0.17s]12/12/2024 16:24:46 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:24:46 - INFO - __main__ - removing checkpoints: motion_module-510.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 514/30000 [28:45<32:27:47,  3.96s/it, lr=1e-5, step_loss=0.0349, td=0.17s]
Steps:   2%|▏         | 514/30000 [28:45<32:27:47,  3.96s/it, lr=1e-5, step_loss=0.066, td=3.80s] 
Steps:   2%|▏         | 515/30000 [28:47<27:08:23,  3.31s/it, lr=1e-5, step_loss=0.066, td=3.80s]
Steps:   2%|▏         | 515/30000 [28:47<27:08:23,  3.31s/it, lr=1e-5, step_loss=0.026, td=0.09s]
Steps:   2%|▏         | 516/30000 [28:48<21:48:23,  2.66s/it, lr=1e-5, step_loss=0.026, td=0.09s]
Steps:   2%|▏         | 516/30000 [28:48<21:48:23,  2.66s/it, lr=1e-5, step_loss=0.0279, td=0.18s]12/12/2024 16:24:56 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:24:56 - INFO - __main__ - removing checkpoints: motion_module-513.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 517/30000 [28:56<32:45:06,  4.00s/it, lr=1e-5, step_loss=0.0279, td=0.18s]
Steps:   2%|▏         | 517/30000 [28:56<32:45:06,  4.00s/it, lr=1e-5, step_loss=0.033, td=3.73s] 
Steps:   2%|▏         | 518/30000 [28:57<27:19:33,  3.34s/it, lr=1e-5, step_loss=0.033, td=3.73s]
Steps:   2%|▏         | 518/30000 [28:57<27:19:33,  3.34s/it, lr=1e-5, step_loss=0.0219, td=0.08s]
Steps:   2%|▏         | 519/30000 [28:58<21:59:11,  2.68s/it, lr=1e-5, step_loss=0.0219, td=0.08s]
Steps:   2%|▏         | 519/30000 [28:59<21:59:11,  2.68s/it, lr=1e-5, step_loss=0.142, td=0.20s] 12/12/2024 16:25:06 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:25:06 - INFO - __main__ - removing checkpoints: motion_module-516.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 520/30000 [29:06<32:58:10,  4.03s/it, lr=1e-5, step_loss=0.142, td=0.20s]
Steps:   2%|▏         | 520/30000 [29:06<32:58:10,  4.03s/it, lr=1e-5, step_loss=0.0313, td=3.83s]
Steps:   2%|▏         | 521/30000 [29:07<27:28:10,  3.35s/it, lr=1e-5, step_loss=0.0313, td=3.83s]
Steps:   2%|▏         | 521/30000 [29:07<27:28:10,  3.35s/it, lr=1e-5, step_loss=0.0271, td=0.08s]
Steps:   2%|▏         | 522/30000 [29:09<22:02:37,  2.69s/it, lr=1e-5, step_loss=0.0271, td=0.08s]
Steps:   2%|▏         | 522/30000 [29:09<22:02:37,  2.69s/it, lr=1e-5, step_loss=0.066, td=0.18s] 12/12/2024 16:25:16 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:25:16 - INFO - __main__ - removing checkpoints: motion_module-519.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 523/30000 [29:16<32:48:56,  4.01s/it, lr=1e-5, step_loss=0.066, td=0.18s]
Steps:   2%|▏         | 523/30000 [29:16<32:48:56,  4.01s/it, lr=1e-5, step_loss=0.0433, td=3.77s]
Steps:   2%|▏         | 524/30000 [29:17<27:21:58,  3.34s/it, lr=1e-5, step_loss=0.0433, td=3.77s]
Steps:   2%|▏         | 524/30000 [29:17<27:21:58,  3.34s/it, lr=1e-5, step_loss=0.0342, td=0.08s]
Steps:   2%|▏         | 525/30000 [29:19<21:57:22,  2.68s/it, lr=1e-5, step_loss=0.0342, td=0.08s]
Steps:   2%|▏         | 525/30000 [29:19<21:57:22,  2.68s/it, lr=1e-5, step_loss=0.0634, td=0.18s]12/12/2024 16:25:26 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:25:26 - INFO - __main__ - removing checkpoints: motion_module-522.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 526/30000 [29:26<32:23:31,  3.96s/it, lr=1e-5, step_loss=0.0634, td=0.18s]
Steps:   2%|▏         | 526/30000 [29:26<32:23:31,  3.96s/it, lr=1e-5, step_loss=0.0282, td=3.63s]
Steps:   2%|▏         | 527/30000 [29:27<27:06:13,  3.31s/it, lr=1e-5, step_loss=0.0282, td=3.63s]
Steps:   2%|▏         | 527/30000 [29:27<27:06:13,  3.31s/it, lr=1e-5, step_loss=0.0339, td=0.09s]
Steps:   2%|▏         | 528/30000 [29:28<21:46:06,  2.66s/it, lr=1e-5, step_loss=0.0339, td=0.09s]
Steps:   2%|▏         | 528/30000 [29:28<21:46:06,  2.66s/it, lr=1e-5, step_loss=0.0551, td=0.17s]12/12/2024 16:25:36 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:25:36 - INFO - __main__ - removing checkpoints: motion_module-525.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 529/30000 [29:35<32:17:02,  3.94s/it, lr=1e-5, step_loss=0.0551, td=0.17s]
Steps:   2%|▏         | 529/30000 [29:35<32:17:02,  3.94s/it, lr=1e-5, step_loss=0.0583, td=3.77s]
Steps:   2%|▏         | 530/30000 [29:37<27:00:17,  3.30s/it, lr=1e-5, step_loss=0.0583, td=3.77s]
Steps:   2%|▏         | 530/30000 [29:37<27:00:17,  3.30s/it, lr=1e-5, step_loss=0.0449, td=0.08s]
Steps:   2%|▏         | 531/30000 [29:38<21:45:20,  2.66s/it, lr=1e-5, step_loss=0.0449, td=0.08s]
Steps:   2%|▏         | 531/30000 [29:38<21:45:20,  2.66s/it, lr=1e-5, step_loss=0.0226, td=0.20s]12/12/2024 16:25:46 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:25:46 - INFO - __main__ - removing checkpoints: motion_module-528.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 532/30000 [29:46<32:59:24,  4.03s/it, lr=1e-5, step_loss=0.0226, td=0.20s]
Steps:   2%|▏         | 532/30000 [29:46<32:59:24,  4.03s/it, lr=1e-5, step_loss=0.0581, td=4.00s]
Steps:   2%|▏         | 533/30000 [29:47<27:28:55,  3.36s/it, lr=1e-5, step_loss=0.0581, td=4.00s]
Steps:   2%|▏         | 533/30000 [29:47<27:28:55,  3.36s/it, lr=1e-5, step_loss=0.0395, td=0.08s]
Steps:   2%|▏         | 534/30000 [29:48<21:55:35,  2.68s/it, lr=1e-5, step_loss=0.0395, td=0.08s]
Steps:   2%|▏         | 534/30000 [29:48<21:55:35,  2.68s/it, lr=1e-5, step_loss=0.0199, td=0.22s]12/12/2024 16:25:56 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:25:56 - INFO - __main__ - removing checkpoints: motion_module-531.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   2%|▏         | 535/30000 [29:55<32:33:29,  3.98s/it, lr=1e-5, step_loss=0.0199, td=0.22s]
Steps:   2%|▏         | 535/30000 [29:55<32:33:29,  3.98s/it, lr=1e-5, step_loss=0.0371, td=3.77s]
Steps:   2%|▏         | 536/30000 [29:57<27:10:23,  3.32s/it, lr=1e-5, step_loss=0.0371, td=3.77s]
Steps:   2%|▏         | 536/30000 [29:57<27:10:23,  3.32s/it, lr=1e-5, step_loss=0.0423, td=0.08s]
Steps:   2%|▏         | 537/30000 [29:58<21:50:50,  2.67s/it, lr=1e-5, step_loss=0.0423, td=0.08s]
Steps:   2%|▏         | 537/30000 [29:58<21:50:50,  2.67s/it, lr=1e-5, step_loss=0.0521, td=0.18s]12/12/2024 16:26:06 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:26:06 - INFO - __main__ - removing checkpoints: motion_module-534.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 538/30000 [30:06<32:57:43,  4.03s/it, lr=1e-5, step_loss=0.0521, td=0.18s]
Steps:   2%|▏         | 538/30000 [30:06<32:57:43,  4.03s/it, lr=1e-5, step_loss=0.0238, td=3.82s]
Steps:   2%|▏         | 539/30000 [30:07<27:27:33,  3.36s/it, lr=1e-5, step_loss=0.0238, td=3.82s]
Steps:   2%|▏         | 539/30000 [30:07<27:27:33,  3.36s/it, lr=1e-5, step_loss=0.0642, td=0.08s]
Steps:   2%|▏         | 540/30000 [30:09<21:59:31,  2.69s/it, lr=1e-5, step_loss=0.0642, td=0.08s]
Steps:   2%|▏         | 540/30000 [30:09<21:59:31,  2.69s/it, lr=1e-5, step_loss=0.0504, td=0.17s]12/12/2024 16:26:16 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:26:16 - INFO - __main__ - removing checkpoints: motion_module-537.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 541/30000 [30:15<32:17:38,  3.95s/it, lr=1e-5, step_loss=0.0504, td=0.17s]
Steps:   2%|▏         | 541/30000 [30:15<32:17:38,  3.95s/it, lr=1e-5, step_loss=0.0412, td=3.62s]
Steps:   2%|▏         | 542/30000 [30:17<26:59:01,  3.30s/it, lr=1e-5, step_loss=0.0412, td=3.62s]
Steps:   2%|▏         | 542/30000 [30:17<26:59:01,  3.30s/it, lr=1e-5, step_loss=0.0466, td=0.08s]
Steps:   2%|▏         | 543/30000 [30:18<21:42:12,  2.65s/it, lr=1e-5, step_loss=0.0466, td=0.08s]
Steps:   2%|▏         | 543/30000 [30:18<21:42:12,  2.65s/it, lr=1e-5, step_loss=0.0233, td=0.18s]12/12/2024 16:26:26 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:26:26 - INFO - __main__ - removing checkpoints: motion_module-540.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 544/30000 [30:25<32:30:31,  3.97s/it, lr=1e-5, step_loss=0.0233, td=0.18s]
Steps:   2%|▏         | 544/30000 [30:25<32:30:31,  3.97s/it, lr=1e-5, step_loss=0.0459, td=3.70s]
Steps:   2%|▏         | 545/30000 [30:27<27:07:44,  3.32s/it, lr=1e-5, step_loss=0.0459, td=3.70s]
Steps:   2%|▏         | 545/30000 [30:27<27:07:44,  3.32s/it, lr=1e-5, step_loss=0.0181, td=0.08s]
Steps:   2%|▏         | 546/30000 [30:28<22:08:59,  2.71s/it, lr=1e-5, step_loss=0.0181, td=0.08s]
Steps:   2%|▏         | 546/30000 [30:28<22:08:59,  2.71s/it, lr=1e-5, step_loss=0.0701, td=0.21s]12/12/2024 16:26:36 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:26:36 - INFO - __main__ - removing checkpoints: motion_module-543.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 547/30000 [30:36<33:08:07,  4.05s/it, lr=1e-5, step_loss=0.0701, td=0.21s]
Steps:   2%|▏         | 547/30000 [30:36<33:08:07,  4.05s/it, lr=1e-5, step_loss=0.0595, td=3.88s]
Steps:   2%|▏         | 548/30000 [30:37<27:35:47,  3.37s/it, lr=1e-5, step_loss=0.0595, td=3.88s]
Steps:   2%|▏         | 548/30000 [30:37<27:35:47,  3.37s/it, lr=1e-5, step_loss=0.0235, td=0.08s]
Steps:   2%|▏         | 549/30000 [30:39<22:09:59,  2.71s/it, lr=1e-5, step_loss=0.0235, td=0.08s]
Steps:   2%|▏         | 549/30000 [30:39<22:09:59,  2.71s/it, lr=1e-5, step_loss=0.0523, td=0.19s]12/12/2024 16:26:46 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:26:46 - INFO - __main__ - removing checkpoints: motion_module-546.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 550/30000 [30:45<32:22:49,  3.96s/it, lr=1e-5, step_loss=0.0523, td=0.19s]
Steps:   2%|▏         | 550/30000 [30:45<32:22:49,  3.96s/it, lr=1e-5, step_loss=0.0343, td=3.55s]
Steps:   2%|▏         | 551/30000 [30:47<27:02:35,  3.31s/it, lr=1e-5, step_loss=0.0343, td=3.55s]
Steps:   2%|▏         | 551/30000 [30:47<27:02:35,  3.31s/it, lr=1e-5, step_loss=0.0397, td=0.08s]
Steps:   2%|▏         | 552/30000 [30:48<21:43:21,  2.66s/it, lr=1e-5, step_loss=0.0397, td=0.08s]
Steps:   2%|▏         | 552/30000 [30:48<21:43:21,  2.66s/it, lr=1e-5, step_loss=0.0635, td=0.18s]12/12/2024 16:26:56 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:26:56 - INFO - __main__ - removing checkpoints: motion_module-549.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 553/30000 [30:55<32:14:43,  3.94s/it, lr=1e-5, step_loss=0.0635, td=0.18s]
Steps:   2%|▏         | 553/30000 [30:55<32:14:43,  3.94s/it, lr=1e-5, step_loss=0.0251, td=3.58s]
Steps:   2%|▏         | 554/30000 [30:57<26:56:21,  3.29s/it, lr=1e-5, step_loss=0.0251, td=3.58s]
Steps:   2%|▏         | 554/30000 [30:57<26:56:21,  3.29s/it, lr=1e-5, step_loss=0.0349, td=0.07s]
Steps:   2%|▏         | 555/30000 [30:58<21:37:04,  2.64s/it, lr=1e-5, step_loss=0.0349, td=0.07s]
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+12/12/2024 16:27:06 - INFO - __main__ - removing checkpoints: motion_module-552.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 556/30000 [31:05<31:59:48,  3.91s/it, lr=1e-5, step_loss=0.106, td=0.17s]
Steps:   2%|▏         | 556/30000 [31:05<31:59:48,  3.91s/it, lr=1e-5, step_loss=0.0492, td=3.79s]
Steps:   2%|▏         | 557/30000 [31:07<26:47:18,  3.28s/it, lr=1e-5, step_loss=0.0492, td=3.79s]
Steps:   2%|▏         | 557/30000 [31:07<26:47:18,  3.28s/it, lr=1e-5, step_loss=0.0406, td=0.08s]
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+12/12/2024 16:27:16 - INFO - __main__ - removing checkpoints: motion_module-555.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 559/30000 [31:15<32:43:51,  4.00s/it, lr=1e-5, step_loss=0.0609, td=0.18s]
Steps:   2%|▏         | 559/30000 [31:15<32:43:51,  4.00s/it, lr=1e-5, step_loss=0.0485, td=3.78s]
Steps:   2%|▏         | 560/30000 [31:17<27:16:49,  3.34s/it, lr=1e-5, step_loss=0.0485, td=3.78s]
Steps:   2%|▏         | 560/30000 [31:17<27:16:49,  3.34s/it, lr=1e-5, step_loss=0.0334, td=0.07s]
Steps:   2%|▏         | 561/30000 [31:18<21:57:10,  2.68s/it, lr=1e-5, step_loss=0.0334, td=0.07s]
Steps:   2%|▏         | 561/30000 [31:18<21:57:10,  2.68s/it, lr=1e-5, step_loss=0.0367, td=0.20s]12/12/2024 16:27:26 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:27:26 - INFO - __main__ - removing checkpoints: motion_module-558.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 562/30000 [31:25<32:51:02,  4.02s/it, lr=1e-5, step_loss=0.0367, td=0.20s]
Steps:   2%|▏         | 562/30000 [31:25<32:51:02,  4.02s/it, lr=1e-5, step_loss=0.0195, td=3.66s]
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Steps:   2%|▏         | 564/30000 [31:28<21:56:42,  2.68s/it, lr=1e-5, step_loss=0.0682, td=0.18s]12/12/2024 16:27:36 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:27:36 - INFO - __main__ - removing checkpoints: motion_module-561.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 565/30000 [31:35<32:35:23,  3.99s/it, lr=1e-5, step_loss=0.0682, td=0.18s]
Steps:   2%|▏         | 565/30000 [31:35<32:35:23,  3.99s/it, lr=1e-5, step_loss=0.0457, td=3.72s]
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Steps:   2%|▏         | 567/30000 [31:38<21:51:07,  2.67s/it, lr=1e-5, step_loss=0.0338, td=0.18s]12/12/2024 16:27:46 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:27:46 - INFO - __main__ - removing checkpoints: motion_module-564.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 568/30000 [31:45<32:24:34,  3.96s/it, lr=1e-5, step_loss=0.0338, td=0.18s]
Steps:   2%|▏         | 568/30000 [31:45<32:24:34,  3.96s/it, lr=1e-5, step_loss=0.0308, td=3.72s]
Steps:   2%|▏         | 569/30000 [31:47<27:04:54,  3.31s/it, lr=1e-5, step_loss=0.0308, td=3.72s]
Steps:   2%|▏         | 569/30000 [31:47<27:04:54,  3.31s/it, lr=1e-5, step_loss=0.0359, td=0.08s]
Steps:   2%|▏         | 570/30000 [31:48<21:44:44,  2.66s/it, lr=1e-5, step_loss=0.0359, td=0.08s]
Steps:   2%|▏         | 570/30000 [31:48<21:44:44,  2.66s/it, lr=1e-5, step_loss=0.0659, td=0.18s]12/12/2024 16:27:56 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:27:56 - INFO - __main__ - removing checkpoints: motion_module-567.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 571/30000 [31:55<32:25:51,  3.97s/it, lr=1e-5, step_loss=0.0659, td=0.18s]
Steps:   2%|▏         | 571/30000 [31:55<32:25:51,  3.97s/it, lr=1e-5, step_loss=0.0154, td=3.73s]
Steps:   2%|▏         | 572/30000 [31:57<27:05:34,  3.31s/it, lr=1e-5, step_loss=0.0154, td=3.73s]
Steps:   2%|▏         | 572/30000 [31:57<27:05:34,  3.31s/it, lr=1e-5, step_loss=0.0403, td=0.08s]
Steps:   2%|▏         | 573/30000 [31:58<21:45:49,  2.66s/it, lr=1e-5, step_loss=0.0403, td=0.08s]
Steps:   2%|▏         | 573/30000 [31:58<21:45:49,  2.66s/it, lr=1e-5, step_loss=0.0701, td=0.18s]12/12/2024 16:28:06 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:28:06 - INFO - __main__ - removing checkpoints: motion_module-570.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 574/30000 [32:06<33:28:09,  4.09s/it, lr=1e-5, step_loss=0.0701, td=0.18s]
Steps:   2%|▏         | 574/30000 [32:06<33:28:09,  4.09s/it, lr=1e-5, step_loss=0.0345, td=4.03s]
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Steps:   2%|▏         | 576/30000 [32:08<22:17:46,  2.73s/it, lr=1e-5, step_loss=0.0226, td=0.17s]12/12/2024 16:28:16 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:28:16 - INFO - __main__ - removing checkpoints: motion_module-573.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 577/30000 [32:15<32:44:49,  4.01s/it, lr=1e-5, step_loss=0.0226, td=0.17s]
Steps:   2%|▏         | 577/30000 [32:15<32:44:49,  4.01s/it, lr=1e-5, step_loss=0.0154, td=3.58s]
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Steps:   2%|▏         | 578/30000 [32:17<27:17:22,  3.34s/it, lr=1e-5, step_loss=0.0446, td=0.08s]
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Steps:   2%|▏         | 579/30000 [32:18<21:51:50,  2.68s/it, lr=1e-5, step_loss=0.0341, td=0.17s]12/12/2024 16:28:26 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:28:26 - INFO - __main__ - removing checkpoints: motion_module-576.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 580/30000 [32:25<32:18:19,  3.95s/it, lr=1e-5, step_loss=0.0341, td=0.17s]
Steps:   2%|▏         | 580/30000 [32:25<32:18:19,  3.95s/it, lr=1e-5, step_loss=0.0446, td=3.73s]
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Steps:   2%|▏         | 581/30000 [32:27<27:01:52,  3.31s/it, lr=1e-5, step_loss=0.0314, td=0.08s]
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Steps:   2%|▏         | 582/30000 [32:28<21:43:49,  2.66s/it, lr=1e-5, step_loss=0.0398, td=0.18s]12/12/2024 16:28:36 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:28:36 - INFO - __main__ - removing checkpoints: motion_module-579.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 583/30000 [32:36<33:05:59,  4.05s/it, lr=1e-5, step_loss=0.0398, td=0.18s]
Steps:   2%|▏         | 583/30000 [32:36<33:05:59,  4.05s/it, lr=1e-5, step_loss=0.0603, td=3.71s]
Steps:   2%|▏         | 584/30000 [32:37<27:17:51,  3.34s/it, lr=1e-5, step_loss=0.0603, td=3.71s]
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Steps:   2%|▏         | 585/30000 [32:38<21:59:31,  2.69s/it, lr=1e-5, step_loss=0.00943, td=0.22s]12/12/2024 16:28:46 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:28:46 - INFO - __main__ - removing checkpoints: motion_module-582.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 586/30000 [32:45<32:17:45,  3.95s/it, lr=1e-5, step_loss=0.00943, td=0.22s]
Steps:   2%|▏         | 586/30000 [32:45<32:17:45,  3.95s/it, lr=1e-5, step_loss=0.0555, td=3.72s] 
Steps:   2%|▏         | 587/30000 [32:47<26:43:51,  3.27s/it, lr=1e-5, step_loss=0.0555, td=3.72s]
Steps:   2%|▏         | 587/30000 [32:47<26:43:51,  3.27s/it, lr=1e-5, step_loss=0.0282, td=0.08s]
Steps:   2%|▏         | 588/30000 [32:48<21:18:06,  2.61s/it, lr=1e-5, step_loss=0.0282, td=0.08s]
Steps:   2%|▏         | 588/30000 [32:48<21:18:06,  2.61s/it, lr=1e-5, step_loss=0.0498, td=0.18s]12/12/2024 16:28:56 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:28:56 - INFO - __main__ - removing checkpoints: motion_module-585.pth
+
Steps:   2%|▏         | 589/30000 [32:55<31:36:53,  3.87s/it, lr=1e-5, step_loss=0.0498, td=0.18s]
Steps:   2%|▏         | 589/30000 [32:55<31:36:53,  3.87s/it, lr=1e-5, step_loss=0.0481, td=3.56s]
Steps:   2%|▏         | 590/30000 [32:57<26:30:52,  3.25s/it, lr=1e-5, step_loss=0.0481, td=3.56s]
Steps:   2%|▏         | 590/30000 [32:57<26:30:52,  3.25s/it, lr=1e-5, step_loss=0.0402, td=0.08s]
Steps:   2%|▏         | 591/30000 [32:58<21:19:45,  2.61s/it, lr=1e-5, step_loss=0.0402, td=0.08s]
Steps:   2%|▏         | 591/30000 [32:58<21:19:45,  2.61s/it, lr=1e-5, step_loss=0.0251, td=0.17s]12/12/2024 16:29:05 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:29:05 - INFO - __main__ - removing checkpoints: motion_module-588.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 592/30000 [33:05<32:04:28,  3.93s/it, lr=1e-5, step_loss=0.0251, td=0.17s]
Steps:   2%|▏         | 592/30000 [33:05<32:04:28,  3.93s/it, lr=1e-5, step_loss=0.0661, td=3.71s]
Steps:   2%|▏         | 593/30000 [33:06<26:34:00,  3.25s/it, lr=1e-5, step_loss=0.0661, td=3.71s]
Steps:   2%|▏         | 593/30000 [33:06<26:34:00,  3.25s/it, lr=1e-5, step_loss=0.0257, td=0.08s]
Steps:   2%|▏         | 594/30000 [33:08<21:22:07,  2.62s/it, lr=1e-5, step_loss=0.0257, td=0.08s]
Steps:   2%|▏         | 594/30000 [33:08<21:22:07,  2.62s/it, lr=1e-5, step_loss=0.0411, td=0.17s]12/12/2024 16:29:15 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:29:15 - INFO - __main__ - removing checkpoints: motion_module-591.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 595/30000 [33:15<32:13:59,  3.95s/it, lr=1e-5, step_loss=0.0411, td=0.17s]
Steps:   2%|▏         | 595/30000 [33:15<32:13:59,  3.95s/it, lr=1e-5, step_loss=0.0362, td=3.66s]
Steps:   2%|▏         | 596/30000 [33:16<26:55:54,  3.30s/it, lr=1e-5, step_loss=0.0362, td=3.66s]
Steps:   2%|▏         | 596/30000 [33:16<26:55:54,  3.30s/it, lr=1e-5, step_loss=0.04, td=0.08s]  
Steps:   2%|▏         | 597/30000 [33:18<21:39:02,  2.65s/it, lr=1e-5, step_loss=0.04, td=0.08s]
Steps:   2%|▏         | 597/30000 [33:18<21:39:02,  2.65s/it, lr=1e-5, step_loss=0.0201, td=0.18s]12/12/2024 16:29:25 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:29:25 - INFO - __main__ - removing checkpoints: motion_module-594.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 598/30000 [33:25<32:56:50,  4.03s/it, lr=1e-5, step_loss=0.0201, td=0.18s]
Steps:   2%|▏         | 598/30000 [33:25<32:56:50,  4.03s/it, lr=1e-5, step_loss=0.0651, td=3.92s]
Steps:   2%|▏         | 599/30000 [33:27<27:25:56,  3.36s/it, lr=1e-5, step_loss=0.0651, td=3.92s]
Steps:   2%|▏         | 599/30000 [33:27<27:25:56,  3.36s/it, lr=1e-5, step_loss=0.0185, td=0.08s]
Steps:   2%|▏         | 600/30000 [33:28<21:58:11,  2.69s/it, lr=1e-5, step_loss=0.0185, td=0.08s]12/12/2024 16:29:35 - INFO - __main__ - Running validation... 
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
+
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+
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100%|██████████| 20/20 [00:03<00:00,  5.68it/s]
100%|██████████| 20/20 [00:03<00:00,  5.56it/s]
+sample torch.Size([2, 5, 32, 32])
+
+
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+
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100%|██████████| 24/24 [00:00<00:00, 119.62it/s]
+
Steps:   2%|▏         | 600/30000 [33:34<21:58:11,  2.69s/it, lr=1e-5, step_loss=0.0101, td=0.17s]12/12/2024 16:29:42 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:29:42 - INFO - __main__ - removing checkpoints: motion_module-597.pth
+
Steps:   2%|▏         | 601/30000 [33:41<47:40:32,  5.84s/it, lr=1e-5, step_loss=0.0101, td=0.17s]
Steps:   2%|▏         | 601/30000 [33:41<47:40:32,  5.84s/it, lr=1e-5, step_loss=0.032, td=3.67s] 
Steps:   2%|▏         | 602/30000 [33:43<38:00:18,  4.65s/it, lr=1e-5, step_loss=0.032, td=3.67s]
Steps:   2%|▏         | 602/30000 [33:43<38:00:18,  4.65s/it, lr=1e-5, step_loss=0.0358, td=0.10s]
Steps:   2%|▏         | 603/30000 [33:44<29:11:21,  3.57s/it, lr=1e-5, step_loss=0.0358, td=0.10s]
Steps:   2%|▏         | 603/30000 [33:44<29:11:21,  3.57s/it, lr=1e-5, step_loss=0.028, td=0.17s] 12/12/2024 16:29:52 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:29:52 - INFO - __main__ - removing checkpoints: motion_module-600.pth
+sample torch.Size([4, 5, 32, 32])
+
Steps:   2%|▏         | 604/30000 [33:51<37:35:38,  4.60s/it, lr=1e-5, step_loss=0.028, td=0.17s]
Steps:   2%|▏         | 604/30000 [33:51<37:35:38,  4.60s/it, lr=1e-5, step_loss=0.0288, td=3.70s]
Steps:   2%|▏         | 605/30000 [33:53<30:41:51,  3.76s/it, lr=1e-5, step_loss=0.0288, td=3.70s]
Steps:   2%|▏         | 605/30000 [33:53<30:41:51,  3.76s/it, lr=1e-5, step_loss=0.0471, td=0.08s]
Steps:   2%|▏         | 606/30000 [33:54<24:21:19,  2.98s/it, lr=1e-5, step_loss=0.0471, td=0.08s]
Steps:   2%|▏         | 606/30000 [33:54<24:21:19,  2.98s/it, lr=1e-5, step_loss=0.0412, td=0.21s]12/12/2024 16:30:01 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:30:01 - INFO - __main__ - removing checkpoints: motion_module-603.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 607/30000 [34:01<34:28:43,  4.22s/it, lr=1e-5, step_loss=0.0412, td=0.21s]
Steps:   2%|▏         | 607/30000 [34:01<34:28:43,  4.22s/it, lr=1e-5, step_loss=0.0408, td=3.70s]
Steps:   2%|▏         | 608/30000 [34:03<28:31:51,  3.49s/it, lr=1e-5, step_loss=0.0408, td=3.70s]
Steps:   2%|▏         | 608/30000 [34:03<28:31:51,  3.49s/it, lr=1e-5, step_loss=0.0424, td=0.08s]
Steps:   2%|▏         | 609/30000 [34:04<22:46:15,  2.79s/it, lr=1e-5, step_loss=0.0424, td=0.08s]
Steps:   2%|▏         | 609/30000 [34:04<22:46:15,  2.79s/it, lr=1e-5, step_loss=0.0351, td=0.18s]12/12/2024 16:30:12 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:30:12 - INFO - __main__ - removing checkpoints: motion_module-606.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 610/30000 [34:11<32:26:23,  3.97s/it, lr=1e-5, step_loss=0.0351, td=0.18s]
Steps:   2%|▏         | 610/30000 [34:11<32:26:23,  3.97s/it, lr=1e-5, step_loss=0.0369, td=3.62s]
Steps:   2%|▏         | 611/30000 [34:12<27:05:49,  3.32s/it, lr=1e-5, step_loss=0.0369, td=3.62s]
Steps:   2%|▏         | 611/30000 [34:12<27:05:49,  3.32s/it, lr=1e-5, step_loss=0.036, td=0.08s] 
Steps:   2%|▏         | 612/30000 [34:14<21:44:08,  2.66s/it, lr=1e-5, step_loss=0.036, td=0.08s]
Steps:   2%|▏         | 612/30000 [34:14<21:44:08,  2.66s/it, lr=1e-5, step_loss=0.0239, td=0.17s]12/12/2024 16:30:21 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:30:21 - INFO - __main__ - removing checkpoints: motion_module-609.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 613/30000 [34:21<32:20:00,  3.96s/it, lr=1e-5, step_loss=0.0239, td=0.17s]
Steps:   2%|▏         | 613/30000 [34:21<32:20:00,  3.96s/it, lr=1e-5, step_loss=0.035, td=3.67s] 
Steps:   2%|▏         | 614/30000 [34:22<27:01:55,  3.31s/it, lr=1e-5, step_loss=0.035, td=3.67s]
Steps:   2%|▏         | 614/30000 [34:22<27:01:55,  3.31s/it, lr=1e-5, step_loss=0.0532, td=0.09s]
Steps:   2%|▏         | 615/30000 [34:23<21:41:44,  2.66s/it, lr=1e-5, step_loss=0.0532, td=0.09s]
Steps:   2%|▏         | 615/30000 [34:23<21:41:44,  2.66s/it, lr=1e-5, step_loss=0.0293, td=0.17s]12/12/2024 16:30:31 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:30:31 - INFO - __main__ - removing checkpoints: motion_module-612.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 616/30000 [34:30<31:50:33,  3.90s/it, lr=1e-5, step_loss=0.0293, td=0.17s]
Steps:   2%|▏         | 616/30000 [34:30<31:50:33,  3.90s/it, lr=1e-5, step_loss=0.0119, td=3.52s]
Steps:   2%|▏         | 617/30000 [34:32<26:23:32,  3.23s/it, lr=1e-5, step_loss=0.0119, td=3.52s]
Steps:   2%|▏         | 617/30000 [34:32<26:23:32,  3.23s/it, lr=1e-5, step_loss=0.0657, td=0.08s]
Steps:   2%|▏         | 618/30000 [34:33<21:17:22,  2.61s/it, lr=1e-5, step_loss=0.0657, td=0.08s]
Steps:   2%|▏         | 618/30000 [34:33<21:17:22,  2.61s/it, lr=1e-5, step_loss=0.0517, td=0.19s]sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 619/30000 [34:40<31:35:26,  3.87s/it, lr=1e-5, step_loss=0.0517, td=0.19s]
Steps:   2%|▏         | 619/30000 [34:40<31:35:26,  3.87s/it, lr=1e-5, step_loss=0.0479, td=3.58s]
Steps:   2%|▏         | 620/30000 [34:42<26:29:38,  3.25s/it, lr=1e-5, step_loss=0.0479, td=3.58s]
Steps:   2%|▏         | 620/30000 [34:42<26:29:38,  3.25s/it, lr=1e-5, step_loss=0.0233, td=0.08s]
Steps:   2%|▏         | 621/30000 [34:43<21:24:48,  2.62s/it, lr=1e-5, step_loss=0.0233, td=0.08s]
Steps:   2%|▏         | 621/30000 [34:43<21:24:48,  2.62s/it, lr=1e-5, step_loss=0.054, td=0.21s] sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 622/30000 [34:50<32:02:56,  3.93s/it, lr=1e-5, step_loss=0.054, td=0.21s]
Steps:   2%|▏         | 622/30000 [34:50<32:02:56,  3.93s/it, lr=1e-5, step_loss=0.0459, td=3.73s]
Steps:   2%|▏         | 623/30000 [34:52<26:49:19,  3.29s/it, lr=1e-5, step_loss=0.0459, td=3.73s]
Steps:   2%|▏         | 623/30000 [34:52<26:49:19,  3.29s/it, lr=1e-5, step_loss=0.0257, td=0.08s]
Steps:   2%|▏         | 624/30000 [34:53<21:33:50,  2.64s/it, lr=1e-5, step_loss=0.0257, td=0.08s]
Steps:   2%|▏         | 624/30000 [34:53<21:33:50,  2.64s/it, lr=1e-5, step_loss=0.00906, td=0.18s]12/12/2024 16:31:00 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:31:00 - INFO - __main__ - removing checkpoints: motion_module-615.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 625/30000 [35:00<32:59:17,  4.04s/it, lr=1e-5, step_loss=0.00906, td=0.18s]
Steps:   2%|▏         | 625/30000 [35:00<32:59:17,  4.04s/it, lr=1e-5, step_loss=0.0435, td=3.86s] 
Steps:   2%|▏         | 626/30000 [35:02<27:28:23,  3.37s/it, lr=1e-5, step_loss=0.0435, td=3.86s]
Steps:   2%|▏         | 626/30000 [35:02<27:28:23,  3.37s/it, lr=1e-5, step_loss=0.0309, td=0.08s]
Steps:   2%|▏         | 627/30000 [35:03<22:02:59,  2.70s/it, lr=1e-5, step_loss=0.0309, td=0.08s]
Steps:   2%|▏         | 627/30000 [35:03<22:02:59,  2.70s/it, lr=1e-5, step_loss=0.0108, td=0.19s]12/12/2024 16:31:11 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:31:11 - INFO - __main__ - removing checkpoints: motion_module-618.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 628/30000 [35:10<33:21:05,  4.09s/it, lr=1e-5, step_loss=0.0108, td=0.19s]
Steps:   2%|▏         | 628/30000 [35:10<33:21:05,  4.09s/it, lr=1e-5, step_loss=0.0344, td=3.99s]
Steps:   2%|▏         | 629/30000 [35:12<27:44:55,  3.40s/it, lr=1e-5, step_loss=0.0344, td=3.99s]
Steps:   2%|▏         | 629/30000 [35:12<27:44:55,  3.40s/it, lr=1e-5, step_loss=0.025, td=0.09s] 
Steps:   2%|▏         | 630/30000 [35:13<22:12:17,  2.72s/it, lr=1e-5, step_loss=0.025, td=0.09s]
Steps:   2%|▏         | 630/30000 [35:13<22:12:17,  2.72s/it, lr=1e-5, step_loss=0.0365, td=0.18s]12/12/2024 16:31:21 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:31:21 - INFO - __main__ - removing checkpoints: motion_module-621.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 631/30000 [35:20<32:04:32,  3.93s/it, lr=1e-5, step_loss=0.0365, td=0.18s]
Steps:   2%|▏         | 631/30000 [35:20<32:04:32,  3.93s/it, lr=1e-5, step_loss=0.0271, td=3.51s]
Steps:   2%|▏         | 632/30000 [35:22<26:50:54,  3.29s/it, lr=1e-5, step_loss=0.0271, td=3.51s]
Steps:   2%|▏         | 632/30000 [35:22<26:50:54,  3.29s/it, lr=1e-5, step_loss=0.0502, td=0.09s]
Steps:   2%|▏         | 633/30000 [35:23<21:22:24,  2.62s/it, lr=1e-5, step_loss=0.0502, td=0.09s]
Steps:   2%|▏         | 633/30000 [35:23<21:22:24,  2.62s/it, lr=1e-5, step_loss=0.0378, td=0.17s]12/12/2024 16:31:31 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:31:31 - INFO - __main__ - removing checkpoints: motion_module-624.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+
Steps:   2%|▏         | 634/30000 [35:30<32:13:26,  3.95s/it, lr=1e-5, step_loss=0.0378, td=0.17s]
Steps:   2%|▏         | 634/30000 [35:30<32:13:26,  3.95s/it, lr=1e-5, step_loss=0.0355, td=3.79s]
Steps:   2%|▏         | 635/30000 [35:32<26:56:24,  3.30s/it, lr=1e-5, step_loss=0.0355, td=3.79s]
Steps:   2%|▏         | 635/30000 [35:32<26:56:24,  3.30s/it, lr=1e-5, step_loss=0.0276, td=0.08s]
Steps:   2%|▏         | 636/30000 [35:33<21:38:01,  2.65s/it, lr=1e-5, step_loss=0.0276, td=0.08s]
Steps:   2%|▏         | 636/30000 [35:33<21:38:01,  2.65s/it, lr=1e-5, step_loss=0.0287, td=0.18s]12/12/2024 16:31:41 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:31:41 - INFO - __main__ - removing checkpoints: motion_module-627.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 637/30000 [35:40<31:44:10,  3.89s/it, lr=1e-5, step_loss=0.0287, td=0.18s]
Steps:   2%|▏         | 637/30000 [35:40<31:44:10,  3.89s/it, lr=1e-5, step_loss=0.0353, td=3.49s]
Steps:   2%|▏         | 638/30000 [35:41<26:35:45,  3.26s/it, lr=1e-5, step_loss=0.0353, td=3.49s]
Steps:   2%|▏         | 638/30000 [35:41<26:35:45,  3.26s/it, lr=1e-5, step_loss=0.0255, td=0.08s]
Steps:   2%|▏         | 639/30000 [35:43<21:24:23,  2.62s/it, lr=1e-5, step_loss=0.0255, td=0.08s]
Steps:   2%|▏         | 639/30000 [35:43<21:24:23,  2.62s/it, lr=1e-5, step_loss=0.0896, td=0.18s]12/12/2024 16:31:50 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:31:50 - INFO - __main__ - removing checkpoints: motion_module-630.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 640/30000 [35:50<32:05:38,  3.94s/it, lr=1e-5, step_loss=0.0896, td=0.18s]
Steps:   2%|▏         | 640/30000 [35:50<32:05:38,  3.94s/it, lr=1e-5, step_loss=0.0187, td=3.69s]
Steps:   2%|▏         | 641/30000 [35:51<26:50:49,  3.29s/it, lr=1e-5, step_loss=0.0187, td=3.69s]
Steps:   2%|▏         | 641/30000 [35:51<26:50:49,  3.29s/it, lr=1e-5, step_loss=0.0416, td=0.08s]
Steps:   2%|▏         | 642/30000 [35:52<21:35:28,  2.65s/it, lr=1e-5, step_loss=0.0416, td=0.08s]
Steps:   2%|▏         | 642/30000 [35:52<21:35:28,  2.65s/it, lr=1e-5, step_loss=0.0418, td=0.18s]12/12/2024 16:32:00 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:32:00 - INFO - __main__ - removing checkpoints: motion_module-633.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 643/30000 [36:00<34:13:48,  4.20s/it, lr=1e-5, step_loss=0.0418, td=0.18s]
Steps:   2%|▏         | 643/30000 [36:00<34:13:48,  4.20s/it, lr=1e-5, step_loss=0.0303, td=4.57s]
Steps:   2%|▏         | 644/30000 [36:02<28:20:42,  3.48s/it, lr=1e-5, step_loss=0.0303, td=4.57s]
Steps:   2%|▏         | 644/30000 [36:02<28:20:42,  3.48s/it, lr=1e-5, step_loss=0.0386, td=0.08s]
Steps:   2%|▏         | 645/30000 [36:03<22:40:40,  2.78s/it, lr=1e-5, step_loss=0.0386, td=0.08s]
Steps:   2%|▏         | 645/30000 [36:03<22:40:40,  2.78s/it, lr=1e-5, step_loss=0.0126, td=0.20s]12/12/2024 16:32:11 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:32:11 - INFO - __main__ - removing checkpoints: motion_module-636.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 646/30000 [36:10<33:01:10,  4.05s/it, lr=1e-5, step_loss=0.0126, td=0.20s]
Steps:   2%|▏         | 646/30000 [36:10<33:01:10,  4.05s/it, lr=1e-5, step_loss=0.0597, td=3.53s]
Steps:   2%|▏         | 647/30000 [36:12<27:29:51,  3.37s/it, lr=1e-5, step_loss=0.0597, td=3.53s]
Steps:   2%|▏         | 647/30000 [36:12<27:29:51,  3.37s/it, lr=1e-5, step_loss=0.0294, td=0.08s]
Steps:   2%|▏         | 648/30000 [36:13<22:04:50,  2.71s/it, lr=1e-5, step_loss=0.0294, td=0.08s]
Steps:   2%|▏         | 648/30000 [36:13<22:04:50,  2.71s/it, lr=1e-5, step_loss=0.00771, td=0.19s]12/12/2024 16:32:21 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:32:21 - INFO - __main__ - removing checkpoints: motion_module-639.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 649/30000 [36:20<32:46:42,  4.02s/it, lr=1e-5, step_loss=0.00771, td=0.19s]
Steps:   2%|▏         | 649/30000 [36:20<32:46:42,  4.02s/it, lr=1e-5, step_loss=0.0235, td=3.68s] 
Steps:   2%|▏         | 650/30000 [36:22<27:20:29,  3.35s/it, lr=1e-5, step_loss=0.0235, td=3.68s]
Steps:   2%|▏         | 650/30000 [36:22<27:20:29,  3.35s/it, lr=1e-5, step_loss=0.056, td=0.09s] 
Steps:   2%|▏         | 651/30000 [36:23<21:56:31,  2.69s/it, lr=1e-5, step_loss=0.056, td=0.09s]
Steps:   2%|▏         | 651/30000 [36:23<21:56:31,  2.69s/it, lr=1e-5, step_loss=0.0136, td=0.18s]12/12/2024 16:32:31 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:32:31 - INFO - __main__ - removing checkpoints: motion_module-642.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 652/30000 [36:30<32:08:23,  3.94s/it, lr=1e-5, step_loss=0.0136, td=0.18s]
Steps:   2%|▏         | 652/30000 [36:30<32:08:23,  3.94s/it, lr=1e-5, step_loss=0.0234, td=3.62s]
Steps:   2%|▏         | 653/30000 [36:32<26:51:20,  3.29s/it, lr=1e-5, step_loss=0.0234, td=3.62s]
Steps:   2%|▏         | 653/30000 [36:32<26:51:20,  3.29s/it, lr=1e-5, step_loss=0.0253, td=0.08s]
Steps:   2%|▏         | 654/30000 [36:33<21:34:08,  2.65s/it, lr=1e-5, step_loss=0.0253, td=0.08s]
Steps:   2%|▏         | 654/30000 [36:33<21:34:08,  2.65s/it, lr=1e-5, step_loss=0.0484, td=0.17s]12/12/2024 16:32:41 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:32:41 - INFO - __main__ - removing checkpoints: motion_module-645.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 655/30000 [36:40<32:10:21,  3.95s/it, lr=1e-5, step_loss=0.0484, td=0.17s]
Steps:   2%|▏         | 655/30000 [36:40<32:10:21,  3.95s/it, lr=1e-5, step_loss=0.0803, td=3.65s]
Steps:   2%|▏         | 656/30000 [36:42<26:52:56,  3.30s/it, lr=1e-5, step_loss=0.0803, td=3.65s]
Steps:   2%|▏         | 656/30000 [36:42<26:52:56,  3.30s/it, lr=1e-5, step_loss=0.0249, td=0.08s]
Steps:   2%|▏         | 657/30000 [36:43<21:37:36,  2.65s/it, lr=1e-5, step_loss=0.0249, td=0.08s]
Steps:   2%|▏         | 657/30000 [36:43<21:37:36,  2.65s/it, lr=1e-5, step_loss=0.0196, td=0.18s]12/12/2024 16:32:51 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:32:51 - INFO - __main__ - removing checkpoints: motion_module-648.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])
+
Steps:   2%|▏         | 658/30000 [36:50<32:24:24,  3.98s/it, lr=1e-5, step_loss=0.0196, td=0.18s]
Steps:   2%|▏         | 658/30000 [36:50<32:24:24,  3.98s/it, lr=1e-5, step_loss=0.0347, td=3.69s]
Steps:   2%|▏         | 659/30000 [36:52<27:02:43,  3.32s/it, lr=1e-5, step_loss=0.0347, td=3.69s]
Steps:   2%|▏         | 659/30000 [36:52<27:02:43,  3.32s/it, lr=1e-5, step_loss=0.0393, td=0.08s]
Steps:   2%|▏         | 660/30000 [36:53<21:42:00,  2.66s/it, lr=1e-5, step_loss=0.0393, td=0.08s]
Steps:   2%|▏         | 660/30000 [36:53<21:42:00,  2.66s/it, lr=1e-5, step_loss=0.0316, td=0.17s]12/12/2024 16:33:01 - INFO - __main__ - 3 checkpoints already exist, removing 1 checkpoints
+12/12/2024 16:33:01 - INFO - __main__ - removing checkpoints: motion_module-651.pth
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([4, 5, 32, 32])
+sample torch.Size([2, 5, 32, 32])