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Add turnkey_stats.yaml to cait_m48_448_Opset17 repo

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  1. turnkey_stats.yaml +216 -0
turnkey_stats.yaml ADDED
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1
+ author: timm
2
+ builds:
3
+ x86_ort:
4
+ all_build_stages:
5
+ - export_pytorch
6
+ - set_success
7
+ benchmark_status: successful
8
+ completed_build_stages:
9
+ export_pytorch: 37.385425329208374
10
+ set_success: 0.04841160774230957
11
+ device_type: x86
12
+ iterations: 100
13
+ onnx_file: /home/azureuser/.cache/turnkey/cait_m48_448_timm_4c2e8201/onnx/cait_m48_448_timm_4c2e8201-op17-base.onnx
14
+ runtime: ort
15
+ builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/cait_m48_448.py
16
+ class: Cait
17
+ hash: 916a53d6
18
+ model_name: cait_m48_448
19
+ onnx_input_dimensions:
20
+ x:
21
+ - 1
22
+ - 3
23
+ - 448
24
+ - 448
25
+ onnx_model_information:
26
+ ir_version: 8
27
+ opset: 17
28
+ size on disk (KiB): 1392803.499
29
+ onnx_ops_counter:
30
+ Add: 449
31
+ Cast: 2
32
+ Concat: 4
33
+ Constant: 320
34
+ ConstantOfShape: 1
35
+ Conv: 1
36
+ Div: 52
37
+ Equal: 1
38
+ Erf: 50
39
+ Expand: 1
40
+ Gather: 147
41
+ Gemm: 3
42
+ LayerNormalization: 101
43
+ MatMul: 398
44
+ Mul: 253
45
+ Reshape: 105
46
+ Shape: 3
47
+ Slice: 3
48
+ Softmax: 50
49
+ Sqrt: 6
50
+ Transpose: 345
51
+ Unsqueeze: 2
52
+ Where: 1
53
+ parameters: 356460520
54
+ system_info:
55
+ Memory Info: 62.79 GB
56
+ OEM System: Virtual Machine
57
+ OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
58
+ Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
59
+ Python Packages:
60
+ - gitpython==3.1.40
61
+ - jinja2==3.1.2
62
+ - markdown==3.5.1
63
+ - markupsafe==2.1.3
64
+ - pillow==10.1.0
65
+ - pynacl==1.5.0
66
+ - pyyaml==6.0.1
67
+ - pygments==2.16.1
68
+ - absl-py==2.0.0
69
+ - aiohttp==3.8.6
70
+ - aiosignal==1.3.1
71
+ - altair==5.1.2
72
+ - appdirs==1.4.4
73
+ - async-timeout==4.0.3
74
+ - attrs==23.1.0
75
+ - backports.zoneinfo==0.2.1
76
+ - bcrypt==4.0.1
77
+ - blinker==1.7.0
78
+ - boto3==1.28.77
79
+ - botocore==1.31.77
80
+ - cachetools==5.3.2
81
+ - certifi==2023.7.22
82
+ - cffi==1.16.0
83
+ - charset-normalizer==3.3.2
84
+ - click==8.1.7
85
+ - coloredlogs==15.0.1
86
+ - cryptography==41.0.5
87
+ - datasets==2.14.6
88
+ - diffusers==0.12.0
89
+ - dill==0.3.7
90
+ - docker-pycreds==0.4.0
91
+ - fasteners==0.19
92
+ - filelock==3.13.1
93
+ - flatbuffers==23.5.26
94
+ - frozenlist==1.4.0
95
+ - fsspec==2023.10.0
96
+ - fvcore==0.1.5.post20221221
97
+ - gitdb==4.0.11
98
+ - google-auth==2.23.4
99
+ - google-auth-oauthlib==1.0.0
100
+ - grpcio==1.59.2
101
+ - huggingface-hub==0.17.3
102
+ - humanfriendly==10.0
103
+ - hummingbird-ml==0.4.4
104
+ - idna==3.4
105
+ - importlib-metadata==6.8.0
106
+ - importlib-resources==6.1.0
107
+ - invoke==2.2.0
108
+ - iopath==0.1.10
109
+ - jmespath==1.0.1
110
+ - joblib==1.3.2
111
+ - jsonschema==4.19.2
112
+ - jsonschema-specifications==2023.7.1
113
+ - lightgbm==3.3.5
114
+ - markdown-it-py==3.0.0
115
+ - mdurl==0.1.2
116
+ - mpmath==1.3.0
117
+ - multidict==6.0.4
118
+ - multiprocess==0.70.15
119
+ - networkx==3.1
120
+ - nltk==3.8.1
121
+ - numpy==1.24.4
122
+ - nvidia-cublas-cu12==12.1.3.1
123
+ - nvidia-cuda-cupti-cu12==12.1.105
124
+ - nvidia-cuda-nvrtc-cu12==12.1.105
125
+ - nvidia-cuda-runtime-cu12==12.1.105
126
+ - nvidia-cudnn-cu12==8.9.2.26
127
+ - nvidia-cufft-cu12==11.0.2.54
128
+ - nvidia-curand-cu12==10.3.2.106
129
+ - nvidia-cusolver-cu12==11.4.5.107
130
+ - nvidia-cusparse-cu12==12.1.0.106
131
+ - nvidia-nccl-cu12==2.18.1
132
+ - nvidia-nvjitlink-cu12==12.3.52
133
+ - nvidia-nvtx-cu12==12.1.105
134
+ - oauthlib==3.2.2
135
+ - onnx==1.15.0
136
+ - onnxconverter-common==1.14.0
137
+ - onnxmltools==1.10.0
138
+ - onnxruntime==1.15.1
139
+ - packaging==23.2
140
+ - pandas==2.0.3
141
+ - paramiko==2.11.0
142
+ - pathtools==0.1.2
143
+ - pip==23.3
144
+ - pkgutil-resolve-name==1.3.10
145
+ - portalocker==2.8.2
146
+ - protobuf==3.20.2
147
+ - psutil==5.9.6
148
+ - pyarrow==14.0.0
149
+ - pyasn1==0.5.0
150
+ - pyasn1-modules==0.3.0
151
+ - pycparser==2.21
152
+ - pydeck==0.8.1b0
153
+ - pyparsing==3.1.1
154
+ - python-dateutil==2.8.2
155
+ - pytorch-pretrained-biggan==0.1.1
156
+ - pytz==2023.3.post1
157
+ - referencing==0.30.2
158
+ - regex==2023.10.3
159
+ - requests==2.31.0
160
+ - requests-oauthlib==1.3.1
161
+ - rich==13.6.0
162
+ - rjieba==0.1.11
163
+ - roformer==0.4.3
164
+ - rpds-py==0.10.6
165
+ - rsa==4.9
166
+ - s3transfer==0.7.0
167
+ - safetensors==0.4.0
168
+ - scikit-learn==1.1.1
169
+ - scipy==1.10.1
170
+ - sentence-transformers==2.2.2
171
+ - sentencepiece==0.1.99
172
+ - sentry-sdk==1.34.0
173
+ - seqeval==1.2.2
174
+ - setproctitle==1.3.3
175
+ - setuptools==68.0.0
176
+ - simpletransformers==0.64.3
177
+ - six==1.16.0
178
+ - skl2onnx==1.15.0
179
+ - smmap==5.0.1
180
+ - streamlit==1.28.1
181
+ - sympy==1.12
182
+ - tabulate==0.9.0
183
+ - tenacity==8.2.3
184
+ - tensorboard==2.14.0
185
+ - tensorboard-data-server==0.7.2
186
+ - termcolor==2.3.0
187
+ - threadpoolctl==3.2.0
188
+ - timm==0.9.8
189
+ - tokenizers==0.14.1
190
+ - toml==0.10.2
191
+ - toolz==0.12.0
192
+ - torch==2.1.0
193
+ - torch-geometric==2.4.0
194
+ - torchaudio==2.1.0
195
+ - torchvision==0.16.0
196
+ - tornado==6.3.3
197
+ - tqdm==4.66.1
198
+ - transformers==4.35.0
199
+ - triton==2.1.0
200
+ - turnkeyml==0.2.0
201
+ - typeguard==4.1.5
202
+ - typing-extensions==4.8.0
203
+ - tzdata==2023.3
204
+ - tzlocal==5.2
205
+ - urllib3==1.26.18
206
+ - validators==0.22.0
207
+ - wandb==0.15.12
208
+ - watchdog==3.0.0
209
+ - werkzeug==3.0.1
210
+ - wheel==0.41.2
211
+ - xgboost==1.6.1
212
+ - xxhash==3.4.1
213
+ - yacs==0.1.8
214
+ - yarl==1.9.2
215
+ - zipp==3.17.0
216
+ task: Computer_Vision