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Add turnkey_stats.yaml to tf_efficientnet_lite2_Opset16 repo

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  1. turnkey_stats.yaml +214 -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: 1.9414160251617432
10
+ set_success: 0.016941308975219727
11
+ device_type: x86
12
+ iterations: 100
13
+ onnx_file: /home/azureuser/.cache/turnkey/tf_efficientnet_lite2_timm_8d840262/onnx/tf_efficientnet_lite2_timm_8d840262-op16-base.onnx
14
+ runtime: ort
15
+ builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/tf_efficientnet_lite2.py
16
+ class: EfficientNet
17
+ hash: 97aca113
18
+ model_name: tf_efficientnet_lite2
19
+ onnx_input_dimensions:
20
+ x:
21
+ - 1
22
+ - 3
23
+ - 260
24
+ - 260
25
+ onnx_model_information:
26
+ ir_version: 8
27
+ opset: 16
28
+ size on disk (KiB): 23798.5684
29
+ onnx_ops_counter:
30
+ Add: 34
31
+ Cast: 46
32
+ Ceil: 10
33
+ Clip: 53
34
+ Concat: 15
35
+ Constant: 251
36
+ ConstantOfShape: 5
37
+ Conv: 64
38
+ Div: 18
39
+ Flatten: 1
40
+ Gather: 13
41
+ Gemm: 1
42
+ GlobalAveragePool: 1
43
+ Mul: 10
44
+ Pad: 5
45
+ Reshape: 10
46
+ Shape: 13
47
+ Slice: 5
48
+ Sub: 35
49
+ Transpose: 5
50
+ Unsqueeze: 40
51
+ parameters: 6092072
52
+ system_info:
53
+ Memory Info: 62.79 GB
54
+ OEM System: Virtual Machine
55
+ OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
56
+ Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
57
+ Python Packages:
58
+ - gitpython==3.1.40
59
+ - jinja2==3.1.2
60
+ - markdown==3.5.1
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+ - markupsafe==2.1.3
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+ - pillow==10.1.0
63
+ - pynacl==1.5.0
64
+ - pyyaml==6.0.1
65
+ - pygments==2.16.1
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+ - absl-py==2.0.0
67
+ - aiohttp==3.8.6
68
+ - aiosignal==1.3.1
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+ - altair==5.1.2
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+ - appdirs==1.4.4
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+ - async-timeout==4.0.3
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+ - attrs==23.1.0
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+ - backports.zoneinfo==0.2.1
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+ - bcrypt==4.0.1
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+ - blinker==1.7.0
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+ - boto3==1.28.77
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+ - botocore==1.31.77
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+ - cachetools==5.3.2
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+ - certifi==2023.7.22
80
+ - cffi==1.16.0
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+ - charset-normalizer==3.3.2
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+ - click==8.1.7
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+ - coloredlogs==15.0.1
84
+ - cryptography==41.0.5
85
+ - datasets==2.14.6
86
+ - diffusers==0.12.0
87
+ - dill==0.3.7
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+ - docker-pycreds==0.4.0
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+ - fasteners==0.19
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+ - filelock==3.13.1
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+ - flatbuffers==23.5.26
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+ - frozenlist==1.4.0
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+ - fsspec==2023.10.0
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+ - fvcore==0.1.5.post20221221
95
+ - gitdb==4.0.11
96
+ - google-auth==2.23.4
97
+ - google-auth-oauthlib==1.0.0
98
+ - grpcio==1.59.2
99
+ - huggingface-hub==0.17.3
100
+ - humanfriendly==10.0
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+ - hummingbird-ml==0.4.4
102
+ - idna==3.4
103
+ - importlib-metadata==6.8.0
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+ - importlib-resources==6.1.0
105
+ - invoke==2.2.0
106
+ - iopath==0.1.10
107
+ - jmespath==1.0.1
108
+ - joblib==1.3.2
109
+ - jsonschema==4.19.2
110
+ - jsonschema-specifications==2023.7.1
111
+ - lightgbm==3.3.5
112
+ - markdown-it-py==3.0.0
113
+ - mdurl==0.1.2
114
+ - mpmath==1.3.0
115
+ - multidict==6.0.4
116
+ - multiprocess==0.70.15
117
+ - networkx==3.1
118
+ - nltk==3.8.1
119
+ - numpy==1.24.4
120
+ - nvidia-cublas-cu12==12.1.3.1
121
+ - nvidia-cuda-cupti-cu12==12.1.105
122
+ - nvidia-cuda-nvrtc-cu12==12.1.105
123
+ - nvidia-cuda-runtime-cu12==12.1.105
124
+ - nvidia-cudnn-cu12==8.9.2.26
125
+ - nvidia-cufft-cu12==11.0.2.54
126
+ - nvidia-curand-cu12==10.3.2.106
127
+ - nvidia-cusolver-cu12==11.4.5.107
128
+ - nvidia-cusparse-cu12==12.1.0.106
129
+ - nvidia-nccl-cu12==2.18.1
130
+ - nvidia-nvjitlink-cu12==12.3.52
131
+ - nvidia-nvtx-cu12==12.1.105
132
+ - oauthlib==3.2.2
133
+ - onnx==1.15.0
134
+ - onnxconverter-common==1.14.0
135
+ - onnxmltools==1.10.0
136
+ - onnxruntime==1.15.1
137
+ - packaging==23.2
138
+ - pandas==2.0.3
139
+ - paramiko==2.11.0
140
+ - pathtools==0.1.2
141
+ - pip==23.3
142
+ - pkgutil-resolve-name==1.3.10
143
+ - portalocker==2.8.2
144
+ - protobuf==3.20.2
145
+ - psutil==5.9.6
146
+ - pyarrow==14.0.0
147
+ - pyasn1==0.5.0
148
+ - pyasn1-modules==0.3.0
149
+ - pycparser==2.21
150
+ - pydeck==0.8.1b0
151
+ - pyparsing==3.1.1
152
+ - python-dateutil==2.8.2
153
+ - pytorch-pretrained-biggan==0.1.1
154
+ - pytz==2023.3.post1
155
+ - referencing==0.30.2
156
+ - regex==2023.10.3
157
+ - requests==2.31.0
158
+ - requests-oauthlib==1.3.1
159
+ - rich==13.6.0
160
+ - rjieba==0.1.11
161
+ - roformer==0.4.3
162
+ - rpds-py==0.10.6
163
+ - rsa==4.9
164
+ - s3transfer==0.7.0
165
+ - safetensors==0.4.0
166
+ - scikit-learn==1.1.1
167
+ - scipy==1.10.1
168
+ - sentence-transformers==2.2.2
169
+ - sentencepiece==0.1.99
170
+ - sentry-sdk==1.34.0
171
+ - seqeval==1.2.2
172
+ - setproctitle==1.3.3
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+ - setuptools==68.0.0
174
+ - simpletransformers==0.64.3
175
+ - six==1.16.0
176
+ - skl2onnx==1.15.0
177
+ - smmap==5.0.1
178
+ - streamlit==1.28.1
179
+ - sympy==1.12
180
+ - tabulate==0.9.0
181
+ - tenacity==8.2.3
182
+ - tensorboard==2.14.0
183
+ - tensorboard-data-server==0.7.2
184
+ - termcolor==2.3.0
185
+ - threadpoolctl==3.2.0
186
+ - timm==0.9.8
187
+ - tokenizers==0.14.1
188
+ - toml==0.10.2
189
+ - toolz==0.12.0
190
+ - torch==2.1.0
191
+ - torch-geometric==2.4.0
192
+ - torchaudio==2.1.0
193
+ - torchvision==0.16.0
194
+ - tornado==6.3.3
195
+ - tqdm==4.66.1
196
+ - transformers==4.35.0
197
+ - triton==2.1.0
198
+ - turnkeyml==0.2.0
199
+ - typeguard==4.1.5
200
+ - typing-extensions==4.8.0
201
+ - tzdata==2023.3
202
+ - tzlocal==5.2
203
+ - urllib3==1.26.18
204
+ - validators==0.22.0
205
+ - wandb==0.15.12
206
+ - watchdog==3.0.0
207
+ - werkzeug==3.0.1
208
+ - wheel==0.41.2
209
+ - xgboost==1.6.1
210
+ - xxhash==3.4.1
211
+ - yacs==0.1.8
212
+ - yarl==1.9.2
213
+ - zipp==3.17.0
214
+ task: Computer_Vision