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Add turnkey_stats.yaml to wide_resnet101_2_Opset18 repo

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  1. turnkey_stats.yaml +200 -0
turnkey_stats.yaml ADDED
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1
+ author: torch_hub
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: 6.529222726821899
10
+ set_success: 0.017756223678588867
11
+ device_type: x86
12
+ iterations: 100
13
+ onnx_file: /home/azureuser/.cache/turnkey/wide_resnet101_2_torch_hub_a638ebdd/onnx/wide_resnet101_2_torch_hub_a638ebdd-op18-base.onnx
14
+ runtime: ort
15
+ builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/wide_resnet101_2.py
16
+ class: ResNet
17
+ hash: 0eb07645
18
+ model_name: wide_resnet101_2
19
+ onnx_input_dimensions:
20
+ x:
21
+ - 1
22
+ - 3
23
+ - 224
24
+ - 224
25
+ onnx_model_information:
26
+ ir_version: 8
27
+ opset: 18
28
+ size on disk (KiB): 495429.5566
29
+ onnx_ops_counter:
30
+ Add: 33
31
+ Conv: 104
32
+ Flatten: 1
33
+ Gemm: 1
34
+ GlobalAveragePool: 1
35
+ MaxPool: 1
36
+ Relu: 100
37
+ parameters: 126886696
38
+ system_info:
39
+ Memory Info: 62.79 GB
40
+ OEM System: Virtual Machine
41
+ OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
42
+ Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
43
+ Python Packages:
44
+ - gitpython==3.1.40
45
+ - jinja2==3.1.2
46
+ - markdown==3.5.1
47
+ - markupsafe==2.1.3
48
+ - pillow==10.1.0
49
+ - pynacl==1.5.0
50
+ - pyyaml==6.0.1
51
+ - pygments==2.16.1
52
+ - absl-py==2.0.0
53
+ - aiohttp==3.8.6
54
+ - aiosignal==1.3.1
55
+ - altair==5.1.2
56
+ - appdirs==1.4.4
57
+ - async-timeout==4.0.3
58
+ - attrs==23.1.0
59
+ - backports.zoneinfo==0.2.1
60
+ - bcrypt==4.0.1
61
+ - blinker==1.7.0
62
+ - boto3==1.28.77
63
+ - botocore==1.31.77
64
+ - cachetools==5.3.2
65
+ - certifi==2023.7.22
66
+ - cffi==1.16.0
67
+ - charset-normalizer==3.3.2
68
+ - click==8.1.7
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+ - coloredlogs==15.0.1
70
+ - cryptography==41.0.5
71
+ - datasets==2.14.6
72
+ - diffusers==0.12.0
73
+ - dill==0.3.7
74
+ - docker-pycreds==0.4.0
75
+ - fasteners==0.19
76
+ - filelock==3.13.1
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+ - flatbuffers==23.5.26
78
+ - frozenlist==1.4.0
79
+ - fsspec==2023.10.0
80
+ - fvcore==0.1.5.post20221221
81
+ - gitdb==4.0.11
82
+ - google-auth==2.23.4
83
+ - google-auth-oauthlib==1.0.0
84
+ - grpcio==1.59.2
85
+ - huggingface-hub==0.17.3
86
+ - humanfriendly==10.0
87
+ - hummingbird-ml==0.4.4
88
+ - idna==3.4
89
+ - importlib-metadata==6.8.0
90
+ - importlib-resources==6.1.0
91
+ - invoke==2.2.0
92
+ - iopath==0.1.10
93
+ - jmespath==1.0.1
94
+ - joblib==1.3.2
95
+ - jsonschema==4.19.2
96
+ - jsonschema-specifications==2023.7.1
97
+ - lightgbm==3.3.5
98
+ - markdown-it-py==3.0.0
99
+ - mdurl==0.1.2
100
+ - mpmath==1.3.0
101
+ - multidict==6.0.4
102
+ - multiprocess==0.70.15
103
+ - networkx==3.1
104
+ - nltk==3.8.1
105
+ - numpy==1.24.4
106
+ - nvidia-cublas-cu12==12.1.3.1
107
+ - nvidia-cuda-cupti-cu12==12.1.105
108
+ - nvidia-cuda-nvrtc-cu12==12.1.105
109
+ - nvidia-cuda-runtime-cu12==12.1.105
110
+ - nvidia-cudnn-cu12==8.9.2.26
111
+ - nvidia-cufft-cu12==11.0.2.54
112
+ - nvidia-curand-cu12==10.3.2.106
113
+ - nvidia-cusolver-cu12==11.4.5.107
114
+ - nvidia-cusparse-cu12==12.1.0.106
115
+ - nvidia-nccl-cu12==2.18.1
116
+ - nvidia-nvjitlink-cu12==12.3.52
117
+ - nvidia-nvtx-cu12==12.1.105
118
+ - oauthlib==3.2.2
119
+ - onnx==1.15.0
120
+ - onnxconverter-common==1.14.0
121
+ - onnxmltools==1.10.0
122
+ - onnxruntime==1.15.1
123
+ - packaging==23.2
124
+ - pandas==2.0.3
125
+ - paramiko==2.11.0
126
+ - pathtools==0.1.2
127
+ - pip==23.3
128
+ - pkgutil-resolve-name==1.3.10
129
+ - portalocker==2.8.2
130
+ - protobuf==3.20.2
131
+ - psutil==5.9.6
132
+ - pyarrow==14.0.0
133
+ - pyasn1==0.5.0
134
+ - pyasn1-modules==0.3.0
135
+ - pycparser==2.21
136
+ - pydeck==0.8.1b0
137
+ - pyparsing==3.1.1
138
+ - python-dateutil==2.8.2
139
+ - pytorch-pretrained-biggan==0.1.1
140
+ - pytz==2023.3.post1
141
+ - referencing==0.30.2
142
+ - regex==2023.10.3
143
+ - requests==2.31.0
144
+ - requests-oauthlib==1.3.1
145
+ - rich==13.6.0
146
+ - rjieba==0.1.11
147
+ - roformer==0.4.3
148
+ - rpds-py==0.10.6
149
+ - rsa==4.9
150
+ - s3transfer==0.7.0
151
+ - safetensors==0.4.0
152
+ - scikit-learn==1.1.1
153
+ - scipy==1.10.1
154
+ - sentence-transformers==2.2.2
155
+ - sentencepiece==0.1.99
156
+ - sentry-sdk==1.34.0
157
+ - seqeval==1.2.2
158
+ - setproctitle==1.3.3
159
+ - setuptools==68.0.0
160
+ - simpletransformers==0.64.3
161
+ - six==1.16.0
162
+ - skl2onnx==1.15.0
163
+ - smmap==5.0.1
164
+ - streamlit==1.28.1
165
+ - sympy==1.12
166
+ - tabulate==0.9.0
167
+ - tenacity==8.2.3
168
+ - tensorboard==2.14.0
169
+ - tensorboard-data-server==0.7.2
170
+ - termcolor==2.3.0
171
+ - threadpoolctl==3.2.0
172
+ - timm==0.9.8
173
+ - tokenizers==0.14.1
174
+ - toml==0.10.2
175
+ - toolz==0.12.0
176
+ - torch==2.1.0
177
+ - torch-geometric==2.4.0
178
+ - torchaudio==2.1.0
179
+ - torchvision==0.16.0
180
+ - tornado==6.3.3
181
+ - tqdm==4.66.1
182
+ - transformers==4.35.0
183
+ - triton==2.1.0
184
+ - turnkeyml==0.2.0
185
+ - typeguard==4.1.5
186
+ - typing-extensions==4.8.0
187
+ - tzdata==2023.3
188
+ - tzlocal==5.2
189
+ - urllib3==1.26.18
190
+ - validators==0.22.0
191
+ - wandb==0.15.12
192
+ - watchdog==3.0.0
193
+ - werkzeug==3.0.1
194
+ - wheel==0.41.2
195
+ - xgboost==1.6.1
196
+ - xxhash==3.4.1
197
+ - yacs==0.1.8
198
+ - yarl==1.9.2
199
+ - zipp==3.17.0
200
+ task: Computer_Vision