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Add turnkey_stats.yaml to pnasnet5large_Opset18 repo

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  1. turnkey_stats.yaml +218 -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: 32.24179029464722
10
+ set_success: 0.04585123062133789
11
+ device_type: x86
12
+ iterations: 100
13
+ onnx_file: /home/azureuser/.cache/turnkey/pnasnet5large_timm_178e0bde/onnx/pnasnet5large_timm_178e0bde-op18-base.onnx
14
+ runtime: ort
15
+ builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/pnasnet5large.py
16
+ class: PNASNet5Large
17
+ hash: d78405b4
18
+ model_name: pnasnet5large
19
+ onnx_input_dimensions:
20
+ x:
21
+ - 1
22
+ - 3
23
+ - 331
24
+ - 331
25
+ onnx_model_information:
26
+ ir_version: 8
27
+ opset: 18
28
+ size on disk (KiB): 336521.4766
29
+ onnx_ops_counter:
30
+ Add: 198
31
+ AveragePool: 8
32
+ BatchNormalization: 4
33
+ Cast: 258
34
+ Ceil: 32
35
+ Clip: 64
36
+ Concat: 118
37
+ Constant: 974
38
+ ConstantOfShape: 36
39
+ Conv: 373
40
+ Div: 84
41
+ Flatten: 1
42
+ Gather: 52
43
+ Gemm: 1
44
+ GlobalAveragePool: 1
45
+ MaxPool: 28
46
+ Mul: 32
47
+ Pad: 36
48
+ Relu: 140
49
+ Reshape: 72
50
+ Shape: 52
51
+ Slice: 36
52
+ Sub: 192
53
+ Transpose: 36
54
+ Unsqueeze: 256
55
+ parameters: 86057668
56
+ system_info:
57
+ Memory Info: 62.79 GB
58
+ OEM System: Virtual Machine
59
+ OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
60
+ Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
61
+ Python Packages:
62
+ - gitpython==3.1.40
63
+ - jinja2==3.1.2
64
+ - markdown==3.5.1
65
+ - markupsafe==2.1.3
66
+ - pillow==10.1.0
67
+ - pynacl==1.5.0
68
+ - pyyaml==6.0.1
69
+ - pygments==2.16.1
70
+ - absl-py==2.0.0
71
+ - aiohttp==3.8.6
72
+ - aiosignal==1.3.1
73
+ - altair==5.1.2
74
+ - appdirs==1.4.4
75
+ - async-timeout==4.0.3
76
+ - attrs==23.1.0
77
+ - backports.zoneinfo==0.2.1
78
+ - bcrypt==4.0.1
79
+ - blinker==1.7.0
80
+ - boto3==1.28.77
81
+ - botocore==1.31.77
82
+ - cachetools==5.3.2
83
+ - certifi==2023.7.22
84
+ - cffi==1.16.0
85
+ - charset-normalizer==3.3.2
86
+ - click==8.1.7
87
+ - coloredlogs==15.0.1
88
+ - cryptography==41.0.5
89
+ - datasets==2.14.6
90
+ - diffusers==0.12.0
91
+ - dill==0.3.7
92
+ - docker-pycreds==0.4.0
93
+ - fasteners==0.19
94
+ - filelock==3.13.1
95
+ - flatbuffers==23.5.26
96
+ - frozenlist==1.4.0
97
+ - fsspec==2023.10.0
98
+ - fvcore==0.1.5.post20221221
99
+ - gitdb==4.0.11
100
+ - google-auth==2.23.4
101
+ - google-auth-oauthlib==1.0.0
102
+ - grpcio==1.59.2
103
+ - huggingface-hub==0.17.3
104
+ - humanfriendly==10.0
105
+ - hummingbird-ml==0.4.4
106
+ - idna==3.4
107
+ - importlib-metadata==6.8.0
108
+ - importlib-resources==6.1.0
109
+ - invoke==2.2.0
110
+ - iopath==0.1.10
111
+ - jmespath==1.0.1
112
+ - joblib==1.3.2
113
+ - jsonschema==4.19.2
114
+ - jsonschema-specifications==2023.7.1
115
+ - lightgbm==3.3.5
116
+ - markdown-it-py==3.0.0
117
+ - mdurl==0.1.2
118
+ - mpmath==1.3.0
119
+ - multidict==6.0.4
120
+ - multiprocess==0.70.15
121
+ - networkx==3.1
122
+ - nltk==3.8.1
123
+ - numpy==1.24.4
124
+ - nvidia-cublas-cu12==12.1.3.1
125
+ - nvidia-cuda-cupti-cu12==12.1.105
126
+ - nvidia-cuda-nvrtc-cu12==12.1.105
127
+ - nvidia-cuda-runtime-cu12==12.1.105
128
+ - nvidia-cudnn-cu12==8.9.2.26
129
+ - nvidia-cufft-cu12==11.0.2.54
130
+ - nvidia-curand-cu12==10.3.2.106
131
+ - nvidia-cusolver-cu12==11.4.5.107
132
+ - nvidia-cusparse-cu12==12.1.0.106
133
+ - nvidia-nccl-cu12==2.18.1
134
+ - nvidia-nvjitlink-cu12==12.3.52
135
+ - nvidia-nvtx-cu12==12.1.105
136
+ - oauthlib==3.2.2
137
+ - onnx==1.15.0
138
+ - onnxconverter-common==1.14.0
139
+ - onnxmltools==1.10.0
140
+ - onnxruntime==1.15.1
141
+ - packaging==23.2
142
+ - pandas==2.0.3
143
+ - paramiko==2.11.0
144
+ - pathtools==0.1.2
145
+ - pip==23.3
146
+ - pkgutil-resolve-name==1.3.10
147
+ - portalocker==2.8.2
148
+ - protobuf==3.20.2
149
+ - psutil==5.9.6
150
+ - pyarrow==14.0.0
151
+ - pyasn1==0.5.0
152
+ - pyasn1-modules==0.3.0
153
+ - pycparser==2.21
154
+ - pydeck==0.8.1b0
155
+ - pyparsing==3.1.1
156
+ - python-dateutil==2.8.2
157
+ - pytorch-pretrained-biggan==0.1.1
158
+ - pytz==2023.3.post1
159
+ - referencing==0.30.2
160
+ - regex==2023.10.3
161
+ - requests==2.31.0
162
+ - requests-oauthlib==1.3.1
163
+ - rich==13.6.0
164
+ - rjieba==0.1.11
165
+ - roformer==0.4.3
166
+ - rpds-py==0.10.6
167
+ - rsa==4.9
168
+ - s3transfer==0.7.0
169
+ - safetensors==0.4.0
170
+ - scikit-learn==1.1.1
171
+ - scipy==1.10.1
172
+ - sentence-transformers==2.2.2
173
+ - sentencepiece==0.1.99
174
+ - sentry-sdk==1.34.0
175
+ - seqeval==1.2.2
176
+ - setproctitle==1.3.3
177
+ - setuptools==68.0.0
178
+ - simpletransformers==0.64.3
179
+ - six==1.16.0
180
+ - skl2onnx==1.15.0
181
+ - smmap==5.0.1
182
+ - streamlit==1.28.1
183
+ - sympy==1.12
184
+ - tabulate==0.9.0
185
+ - tenacity==8.2.3
186
+ - tensorboard==2.14.0
187
+ - tensorboard-data-server==0.7.2
188
+ - termcolor==2.3.0
189
+ - threadpoolctl==3.2.0
190
+ - timm==0.9.8
191
+ - tokenizers==0.14.1
192
+ - toml==0.10.2
193
+ - toolz==0.12.0
194
+ - torch==2.1.0
195
+ - torch-geometric==2.4.0
196
+ - torchaudio==2.1.0
197
+ - torchvision==0.16.0
198
+ - tornado==6.3.3
199
+ - tqdm==4.66.1
200
+ - transformers==4.35.0
201
+ - triton==2.1.0
202
+ - turnkeyml==0.2.0
203
+ - typeguard==4.1.5
204
+ - typing-extensions==4.8.0
205
+ - tzdata==2023.3
206
+ - tzlocal==5.2
207
+ - urllib3==1.26.18
208
+ - validators==0.22.0
209
+ - wandb==0.15.12
210
+ - watchdog==3.0.0
211
+ - werkzeug==3.0.1
212
+ - wheel==0.41.2
213
+ - xgboost==1.6.1
214
+ - xxhash==3.4.1
215
+ - yacs==0.1.8
216
+ - yarl==1.9.2
217
+ - zipp==3.17.0
218
+ task: Computer_Vision