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Add turnkey_stats.yaml to efficientnet_b1_Opset17 repo

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  1. turnkey_stats.yaml +201 -0
turnkey_stats.yaml ADDED
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+ 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: 2.0296854972839355
10
+ set_success: 0.017165184020996094
11
+ device_type: x86
12
+ iterations: 100
13
+ onnx_file: /home/azureuser/.cache/turnkey/efficientnet_b1_timm_8eee17f1/onnx/efficientnet_b1_timm_8eee17f1-op17-base.onnx
14
+ runtime: ort
15
+ builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/efficientnet_b1.py
16
+ class: EfficientNet
17
+ hash: 74fd7794
18
+ model_name: efficientnet_b1
19
+ onnx_input_dimensions:
20
+ x:
21
+ - 1
22
+ - 3
23
+ - 224
24
+ - 224
25
+ onnx_model_information:
26
+ ir_version: 8
27
+ opset: 17
28
+ size on disk (KiB): 30406.9189
29
+ onnx_ops_counter:
30
+ Add: 16
31
+ Conv: 115
32
+ Flatten: 1
33
+ Gemm: 1
34
+ GlobalAveragePool: 1
35
+ Mul: 92
36
+ ReduceMean: 23
37
+ Sigmoid: 92
38
+ parameters: 7794184
39
+ system_info:
40
+ Memory Info: 62.79 GB
41
+ OEM System: Virtual Machine
42
+ OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
43
+ Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
44
+ Python Packages:
45
+ - gitpython==3.1.40
46
+ - jinja2==3.1.2
47
+ - markdown==3.5.1
48
+ - markupsafe==2.1.3
49
+ - pillow==10.1.0
50
+ - pynacl==1.5.0
51
+ - pyyaml==6.0.1
52
+ - pygments==2.16.1
53
+ - absl-py==2.0.0
54
+ - aiohttp==3.8.6
55
+ - aiosignal==1.3.1
56
+ - altair==5.1.2
57
+ - appdirs==1.4.4
58
+ - async-timeout==4.0.3
59
+ - attrs==23.1.0
60
+ - backports.zoneinfo==0.2.1
61
+ - bcrypt==4.0.1
62
+ - blinker==1.7.0
63
+ - boto3==1.28.77
64
+ - botocore==1.31.77
65
+ - cachetools==5.3.2
66
+ - certifi==2023.7.22
67
+ - cffi==1.16.0
68
+ - charset-normalizer==3.3.2
69
+ - click==8.1.7
70
+ - coloredlogs==15.0.1
71
+ - cryptography==41.0.5
72
+ - datasets==2.14.6
73
+ - diffusers==0.12.0
74
+ - dill==0.3.7
75
+ - docker-pycreds==0.4.0
76
+ - fasteners==0.19
77
+ - filelock==3.13.1
78
+ - flatbuffers==23.5.26
79
+ - frozenlist==1.4.0
80
+ - fsspec==2023.10.0
81
+ - fvcore==0.1.5.post20221221
82
+ - gitdb==4.0.11
83
+ - google-auth==2.23.4
84
+ - google-auth-oauthlib==1.0.0
85
+ - grpcio==1.59.2
86
+ - huggingface-hub==0.17.3
87
+ - humanfriendly==10.0
88
+ - hummingbird-ml==0.4.4
89
+ - idna==3.4
90
+ - importlib-metadata==6.8.0
91
+ - importlib-resources==6.1.0
92
+ - invoke==2.2.0
93
+ - iopath==0.1.10
94
+ - jmespath==1.0.1
95
+ - joblib==1.3.2
96
+ - jsonschema==4.19.2
97
+ - jsonschema-specifications==2023.7.1
98
+ - lightgbm==3.3.5
99
+ - markdown-it-py==3.0.0
100
+ - mdurl==0.1.2
101
+ - mpmath==1.3.0
102
+ - multidict==6.0.4
103
+ - multiprocess==0.70.15
104
+ - networkx==3.1
105
+ - nltk==3.8.1
106
+ - numpy==1.24.4
107
+ - nvidia-cublas-cu12==12.1.3.1
108
+ - nvidia-cuda-cupti-cu12==12.1.105
109
+ - nvidia-cuda-nvrtc-cu12==12.1.105
110
+ - nvidia-cuda-runtime-cu12==12.1.105
111
+ - nvidia-cudnn-cu12==8.9.2.26
112
+ - nvidia-cufft-cu12==11.0.2.54
113
+ - nvidia-curand-cu12==10.3.2.106
114
+ - nvidia-cusolver-cu12==11.4.5.107
115
+ - nvidia-cusparse-cu12==12.1.0.106
116
+ - nvidia-nccl-cu12==2.18.1
117
+ - nvidia-nvjitlink-cu12==12.3.52
118
+ - nvidia-nvtx-cu12==12.1.105
119
+ - oauthlib==3.2.2
120
+ - onnx==1.15.0
121
+ - onnxconverter-common==1.14.0
122
+ - onnxmltools==1.10.0
123
+ - onnxruntime==1.15.1
124
+ - packaging==23.2
125
+ - pandas==2.0.3
126
+ - paramiko==2.11.0
127
+ - pathtools==0.1.2
128
+ - pip==23.3
129
+ - pkgutil-resolve-name==1.3.10
130
+ - portalocker==2.8.2
131
+ - protobuf==3.20.2
132
+ - psutil==5.9.6
133
+ - pyarrow==14.0.0
134
+ - pyasn1==0.5.0
135
+ - pyasn1-modules==0.3.0
136
+ - pycparser==2.21
137
+ - pydeck==0.8.1b0
138
+ - pyparsing==3.1.1
139
+ - python-dateutil==2.8.2
140
+ - pytorch-pretrained-biggan==0.1.1
141
+ - pytz==2023.3.post1
142
+ - referencing==0.30.2
143
+ - regex==2023.10.3
144
+ - requests==2.31.0
145
+ - requests-oauthlib==1.3.1
146
+ - rich==13.6.0
147
+ - rjieba==0.1.11
148
+ - roformer==0.4.3
149
+ - rpds-py==0.10.6
150
+ - rsa==4.9
151
+ - s3transfer==0.7.0
152
+ - safetensors==0.4.0
153
+ - scikit-learn==1.1.1
154
+ - scipy==1.10.1
155
+ - sentence-transformers==2.2.2
156
+ - sentencepiece==0.1.99
157
+ - sentry-sdk==1.34.0
158
+ - seqeval==1.2.2
159
+ - setproctitle==1.3.3
160
+ - setuptools==68.0.0
161
+ - simpletransformers==0.64.3
162
+ - six==1.16.0
163
+ - skl2onnx==1.15.0
164
+ - smmap==5.0.1
165
+ - streamlit==1.28.1
166
+ - sympy==1.12
167
+ - tabulate==0.9.0
168
+ - tenacity==8.2.3
169
+ - tensorboard==2.14.0
170
+ - tensorboard-data-server==0.7.2
171
+ - termcolor==2.3.0
172
+ - threadpoolctl==3.2.0
173
+ - timm==0.9.8
174
+ - tokenizers==0.14.1
175
+ - toml==0.10.2
176
+ - toolz==0.12.0
177
+ - torch==2.1.0
178
+ - torch-geometric==2.4.0
179
+ - torchaudio==2.1.0
180
+ - torchvision==0.16.0
181
+ - tornado==6.3.3
182
+ - tqdm==4.66.1
183
+ - transformers==4.35.0
184
+ - triton==2.1.0
185
+ - turnkeyml==0.2.0
186
+ - typeguard==4.1.5
187
+ - typing-extensions==4.8.0
188
+ - tzdata==2023.3
189
+ - tzlocal==5.2
190
+ - urllib3==1.26.18
191
+ - validators==0.22.0
192
+ - wandb==0.15.12
193
+ - watchdog==3.0.0
194
+ - werkzeug==3.0.1
195
+ - wheel==0.41.2
196
+ - xgboost==1.6.1
197
+ - xxhash==3.4.1
198
+ - yacs==0.1.8
199
+ - yarl==1.9.2
200
+ - zipp==3.17.0
201
+ task: Computer_Vision