Update app.py

app.py

@@ -11,16 +11,16 @@ os.environ['HF_HUB_ENABLE_HF_TRANSFER'] = '1'
 
 import torch
 
-#torch.backends.cuda.matmul.allow_tf32 = False  #  torch 2.8
-#torch.backends.cudnn.allow_tf32 = False        #  torch 2.8
+torch.backends.cuda.matmul.allow_tf32 = False  #  torch 2.8
+torch.backends.cudnn.allow_tf32 = False        #  torch 2.8
 
 torch.backends.cuda.matmul.allow_bf16_reduced_precision_reduction = False
 torch.backends.cuda.matmul.allow_fp16_reduced_precision_reduction = False
-torch.backends.fp32_precision = "ieee"  torch 2.9
-torch.backends.cuda.matmul.fp32_precision = "ieee"  torch 2.9
-torch.backends.cudnn.fp32_precision = "ieee"  torch 2.9
-torch.backends.cudnn.conv.fp32_precision = "ieee"  torch 2.9
-torch.backends.cudnn.rnn.fp32_precision = "ieee"  torch 2.9
+#torch.backends.fp32_precision = "ieee"  torch 2.9
+#torch.backends.cuda.matmul.fp32_precision = "ieee"  torch 2.9
+#torch.backends.cudnn.fp32_precision = "ieee"  torch 2.9
+#torch.backends.cudnn.conv.fp32_precision = "ieee"  torch 2.9
+#torch.backends.cudnn.rnn.fp32_precision = "ieee"  torch 2.9
 torch.backends.cudnn.deterministic = False
 torch.backends.cudnn.benchmark = False
 torch.backends.cuda.preferred_blas_library="cublas"