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Add turnkey_stats.yaml to coat_lite_tiny_Opset16 repo

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  1. turnkey_stats.yaml +220 -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: 2.334061622619629
10
+ set_success: 0.017174720764160156
11
+ device_type: x86
12
+ iterations: 100
13
+ onnx_file: /home/azureuser/.cache/turnkey/coat_lite_tiny_timm_41a5f0c5/onnx/coat_lite_tiny_timm_41a5f0c5-op16-base.onnx
14
+ runtime: ort
15
+ builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/timm/coat_lite_tiny.py
16
+ class: CoaT
17
+ hash: 46259d7a
18
+ model_name: coat_lite_tiny
19
+ onnx_input_dimensions:
20
+ x:
21
+ - 1
22
+ - 3
23
+ - 224
24
+ - 224
25
+ onnx_model_information:
26
+ ir_version: 8
27
+ opset: 16
28
+ size on disk (KiB): 22549.2568
29
+ onnx_ops_counter:
30
+ Add: 114
31
+ Cast: 8
32
+ Concat: 40
33
+ Constant: 418
34
+ ConstantOfShape: 12
35
+ Conv: 36
36
+ Div: 29
37
+ Equal: 4
38
+ Erf: 8
39
+ Expand: 4
40
+ Gather: 1
41
+ Gemm: 1
42
+ MatMul: 48
43
+ Mul: 57
44
+ Pad: 8
45
+ Pow: 21
46
+ ReduceMean: 42
47
+ Reshape: 71
48
+ Shape: 12
49
+ Slice: 55
50
+ Softmax: 8
51
+ Split: 16
52
+ Sqrt: 21
53
+ Squeeze: 24
54
+ Sub: 21
55
+ Transpose: 71
56
+ Where: 4
57
+ parameters: 5721960
58
+ system_info:
59
+ Memory Info: 62.79 GB
60
+ OEM System: Virtual Machine
61
+ OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
62
+ Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
63
+ Python Packages:
64
+ - gitpython==3.1.40
65
+ - jinja2==3.1.2
66
+ - markdown==3.5.1
67
+ - markupsafe==2.1.3
68
+ - pillow==10.1.0
69
+ - pynacl==1.5.0
70
+ - pyyaml==6.0.1
71
+ - pygments==2.16.1
72
+ - absl-py==2.0.0
73
+ - aiohttp==3.8.6
74
+ - aiosignal==1.3.1
75
+ - altair==5.1.2
76
+ - appdirs==1.4.4
77
+ - async-timeout==4.0.3
78
+ - attrs==23.1.0
79
+ - backports.zoneinfo==0.2.1
80
+ - bcrypt==4.0.1
81
+ - blinker==1.7.0
82
+ - boto3==1.28.77
83
+ - botocore==1.31.77
84
+ - cachetools==5.3.2
85
+ - certifi==2023.7.22
86
+ - cffi==1.16.0
87
+ - charset-normalizer==3.3.2
88
+ - click==8.1.7
89
+ - coloredlogs==15.0.1
90
+ - cryptography==41.0.5
91
+ - datasets==2.14.6
92
+ - diffusers==0.12.0
93
+ - dill==0.3.7
94
+ - docker-pycreds==0.4.0
95
+ - fasteners==0.19
96
+ - filelock==3.13.1
97
+ - flatbuffers==23.5.26
98
+ - frozenlist==1.4.0
99
+ - fsspec==2023.10.0
100
+ - fvcore==0.1.5.post20221221
101
+ - gitdb==4.0.11
102
+ - google-auth==2.23.4
103
+ - google-auth-oauthlib==1.0.0
104
+ - grpcio==1.59.2
105
+ - huggingface-hub==0.17.3
106
+ - humanfriendly==10.0
107
+ - hummingbird-ml==0.4.4
108
+ - idna==3.4
109
+ - importlib-metadata==6.8.0
110
+ - importlib-resources==6.1.0
111
+ - invoke==2.2.0
112
+ - iopath==0.1.10
113
+ - jmespath==1.0.1
114
+ - joblib==1.3.2
115
+ - jsonschema==4.19.2
116
+ - jsonschema-specifications==2023.7.1
117
+ - lightgbm==3.3.5
118
+ - markdown-it-py==3.0.0
119
+ - mdurl==0.1.2
120
+ - mpmath==1.3.0
121
+ - multidict==6.0.4
122
+ - multiprocess==0.70.15
123
+ - networkx==3.1
124
+ - nltk==3.8.1
125
+ - numpy==1.24.4
126
+ - nvidia-cublas-cu12==12.1.3.1
127
+ - nvidia-cuda-cupti-cu12==12.1.105
128
+ - nvidia-cuda-nvrtc-cu12==12.1.105
129
+ - nvidia-cuda-runtime-cu12==12.1.105
130
+ - nvidia-cudnn-cu12==8.9.2.26
131
+ - nvidia-cufft-cu12==11.0.2.54
132
+ - nvidia-curand-cu12==10.3.2.106
133
+ - nvidia-cusolver-cu12==11.4.5.107
134
+ - nvidia-cusparse-cu12==12.1.0.106
135
+ - nvidia-nccl-cu12==2.18.1
136
+ - nvidia-nvjitlink-cu12==12.3.52
137
+ - nvidia-nvtx-cu12==12.1.105
138
+ - oauthlib==3.2.2
139
+ - onnx==1.15.0
140
+ - onnxconverter-common==1.14.0
141
+ - onnxmltools==1.10.0
142
+ - onnxruntime==1.15.1
143
+ - packaging==23.2
144
+ - pandas==2.0.3
145
+ - paramiko==2.11.0
146
+ - pathtools==0.1.2
147
+ - pip==23.3
148
+ - pkgutil-resolve-name==1.3.10
149
+ - portalocker==2.8.2
150
+ - protobuf==3.20.2
151
+ - psutil==5.9.6
152
+ - pyarrow==14.0.0
153
+ - pyasn1==0.5.0
154
+ - pyasn1-modules==0.3.0
155
+ - pycparser==2.21
156
+ - pydeck==0.8.1b0
157
+ - pyparsing==3.1.1
158
+ - python-dateutil==2.8.2
159
+ - pytorch-pretrained-biggan==0.1.1
160
+ - pytz==2023.3.post1
161
+ - referencing==0.30.2
162
+ - regex==2023.10.3
163
+ - requests==2.31.0
164
+ - requests-oauthlib==1.3.1
165
+ - rich==13.6.0
166
+ - rjieba==0.1.11
167
+ - roformer==0.4.3
168
+ - rpds-py==0.10.6
169
+ - rsa==4.9
170
+ - s3transfer==0.7.0
171
+ - safetensors==0.4.0
172
+ - scikit-learn==1.1.1
173
+ - scipy==1.10.1
174
+ - sentence-transformers==2.2.2
175
+ - sentencepiece==0.1.99
176
+ - sentry-sdk==1.34.0
177
+ - seqeval==1.2.2
178
+ - setproctitle==1.3.3
179
+ - setuptools==68.0.0
180
+ - simpletransformers==0.64.3
181
+ - six==1.16.0
182
+ - skl2onnx==1.15.0
183
+ - smmap==5.0.1
184
+ - streamlit==1.28.1
185
+ - sympy==1.12
186
+ - tabulate==0.9.0
187
+ - tenacity==8.2.3
188
+ - tensorboard==2.14.0
189
+ - tensorboard-data-server==0.7.2
190
+ - termcolor==2.3.0
191
+ - threadpoolctl==3.2.0
192
+ - timm==0.9.8
193
+ - tokenizers==0.14.1
194
+ - toml==0.10.2
195
+ - toolz==0.12.0
196
+ - torch==2.1.0
197
+ - torch-geometric==2.4.0
198
+ - torchaudio==2.1.0
199
+ - torchvision==0.16.0
200
+ - tornado==6.3.3
201
+ - tqdm==4.66.1
202
+ - transformers==4.35.0
203
+ - triton==2.1.0
204
+ - turnkeyml==0.2.0
205
+ - typeguard==4.1.5
206
+ - typing-extensions==4.8.0
207
+ - tzdata==2023.3
208
+ - tzlocal==5.2
209
+ - urllib3==1.26.18
210
+ - validators==0.22.0
211
+ - wandb==0.15.12
212
+ - watchdog==3.0.0
213
+ - werkzeug==3.0.1
214
+ - wheel==0.41.2
215
+ - xgboost==1.6.1
216
+ - xxhash==3.4.1
217
+ - yacs==0.1.8
218
+ - yarl==1.9.2
219
+ - zipp==3.17.0
220
+ task: Computer_Vision