Add turnkey_stats.yaml to swin_b_Opset17 repo
Browse files- turnkey_stats.yaml +224 -0
turnkey_stats.yaml
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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: 46.761287450790405
|
| 10 |
+
set_success: 0.024200439453125
|
| 11 |
+
device_type: x86
|
| 12 |
+
iterations: 100
|
| 13 |
+
onnx_file: /home/azureuser/.cache/turnkey/swin_b_torch_hub_4d805127/onnx/swin_b_torch_hub_4d805127-op17-base.onnx
|
| 14 |
+
runtime: ort
|
| 15 |
+
builtin_model_script: https://github.com/onnx/turnkeyml/blob/main/models/torch_hub/swin_b.py
|
| 16 |
+
class: SwinTransformer
|
| 17 |
+
hash: f41f6038
|
| 18 |
+
model_name: swin_b
|
| 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): 348691.4844
|
| 29 |
+
onnx_ops_counter:
|
| 30 |
+
Add: 302
|
| 31 |
+
Cast: 461
|
| 32 |
+
Concat: 525
|
| 33 |
+
Constant: 5479
|
| 34 |
+
ConstantOfShape: 335
|
| 35 |
+
Conv: 1
|
| 36 |
+
Div: 106
|
| 37 |
+
Equal: 220
|
| 38 |
+
Erf: 24
|
| 39 |
+
Expand: 297
|
| 40 |
+
Flatten: 1
|
| 41 |
+
Gather: 491
|
| 42 |
+
Gemm: 1
|
| 43 |
+
GlobalAveragePool: 1
|
| 44 |
+
LayerNormalization: 53
|
| 45 |
+
MatMul: 147
|
| 46 |
+
Mod: 102
|
| 47 |
+
Mul: 318
|
| 48 |
+
Not: 11
|
| 49 |
+
Pad: 27
|
| 50 |
+
Pow: 24
|
| 51 |
+
Range: 198
|
| 52 |
+
Reshape: 440
|
| 53 |
+
ScatterND: 99
|
| 54 |
+
Shape: 1013
|
| 55 |
+
Slice: 676
|
| 56 |
+
Softmax: 24
|
| 57 |
+
Sub: 86
|
| 58 |
+
Transpose: 160
|
| 59 |
+
Unsqueeze: 988
|
| 60 |
+
Where: 220
|
| 61 |
+
parameters: 87768224
|
| 62 |
+
system_info:
|
| 63 |
+
Memory Info: 62.79 GB
|
| 64 |
+
OEM System: Virtual Machine
|
| 65 |
+
OS Version: Linux-5.15.0-1051-azure-x86_64-with-glibc2.17
|
| 66 |
+
Processor: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
|
| 67 |
+
Python Packages:
|
| 68 |
+
- gitpython==3.1.40
|
| 69 |
+
- jinja2==3.1.2
|
| 70 |
+
- markdown==3.5.1
|
| 71 |
+
- markupsafe==2.1.3
|
| 72 |
+
- pillow==10.1.0
|
| 73 |
+
- pynacl==1.5.0
|
| 74 |
+
- pyyaml==6.0.1
|
| 75 |
+
- pygments==2.16.1
|
| 76 |
+
- absl-py==2.0.0
|
| 77 |
+
- aiohttp==3.8.6
|
| 78 |
+
- aiosignal==1.3.1
|
| 79 |
+
- altair==5.1.2
|
| 80 |
+
- appdirs==1.4.4
|
| 81 |
+
- async-timeout==4.0.3
|
| 82 |
+
- attrs==23.1.0
|
| 83 |
+
- backports.zoneinfo==0.2.1
|
| 84 |
+
- bcrypt==4.0.1
|
| 85 |
+
- blinker==1.7.0
|
| 86 |
+
- boto3==1.28.77
|
| 87 |
+
- botocore==1.31.77
|
| 88 |
+
- cachetools==5.3.2
|
| 89 |
+
- certifi==2023.7.22
|
| 90 |
+
- cffi==1.16.0
|
| 91 |
+
- charset-normalizer==3.3.2
|
| 92 |
+
- click==8.1.7
|
| 93 |
+
- coloredlogs==15.0.1
|
| 94 |
+
- cryptography==41.0.5
|
| 95 |
+
- datasets==2.14.6
|
| 96 |
+
- diffusers==0.12.0
|
| 97 |
+
- dill==0.3.7
|
| 98 |
+
- docker-pycreds==0.4.0
|
| 99 |
+
- fasteners==0.19
|
| 100 |
+
- filelock==3.13.1
|
| 101 |
+
- flatbuffers==23.5.26
|
| 102 |
+
- frozenlist==1.4.0
|
| 103 |
+
- fsspec==2023.10.0
|
| 104 |
+
- fvcore==0.1.5.post20221221
|
| 105 |
+
- gitdb==4.0.11
|
| 106 |
+
- google-auth==2.23.4
|
| 107 |
+
- google-auth-oauthlib==1.0.0
|
| 108 |
+
- grpcio==1.59.2
|
| 109 |
+
- huggingface-hub==0.17.3
|
| 110 |
+
- humanfriendly==10.0
|
| 111 |
+
- hummingbird-ml==0.4.4
|
| 112 |
+
- idna==3.4
|
| 113 |
+
- importlib-metadata==6.8.0
|
| 114 |
+
- importlib-resources==6.1.0
|
| 115 |
+
- invoke==2.2.0
|
| 116 |
+
- iopath==0.1.10
|
| 117 |
+
- jmespath==1.0.1
|
| 118 |
+
- joblib==1.3.2
|
| 119 |
+
- jsonschema==4.19.2
|
| 120 |
+
- jsonschema-specifications==2023.7.1
|
| 121 |
+
- lightgbm==3.3.5
|
| 122 |
+
- markdown-it-py==3.0.0
|
| 123 |
+
- mdurl==0.1.2
|
| 124 |
+
- mpmath==1.3.0
|
| 125 |
+
- multidict==6.0.4
|
| 126 |
+
- multiprocess==0.70.15
|
| 127 |
+
- networkx==3.1
|
| 128 |
+
- nltk==3.8.1
|
| 129 |
+
- numpy==1.24.4
|
| 130 |
+
- nvidia-cublas-cu12==12.1.3.1
|
| 131 |
+
- nvidia-cuda-cupti-cu12==12.1.105
|
| 132 |
+
- nvidia-cuda-nvrtc-cu12==12.1.105
|
| 133 |
+
- nvidia-cuda-runtime-cu12==12.1.105
|
| 134 |
+
- nvidia-cudnn-cu12==8.9.2.26
|
| 135 |
+
- nvidia-cufft-cu12==11.0.2.54
|
| 136 |
+
- nvidia-curand-cu12==10.3.2.106
|
| 137 |
+
- nvidia-cusolver-cu12==11.4.5.107
|
| 138 |
+
- nvidia-cusparse-cu12==12.1.0.106
|
| 139 |
+
- nvidia-nccl-cu12==2.18.1
|
| 140 |
+
- nvidia-nvjitlink-cu12==12.3.52
|
| 141 |
+
- nvidia-nvtx-cu12==12.1.105
|
| 142 |
+
- oauthlib==3.2.2
|
| 143 |
+
- onnx==1.15.0
|
| 144 |
+
- onnxconverter-common==1.14.0
|
| 145 |
+
- onnxmltools==1.10.0
|
| 146 |
+
- onnxruntime==1.15.1
|
| 147 |
+
- packaging==23.2
|
| 148 |
+
- pandas==2.0.3
|
| 149 |
+
- paramiko==2.11.0
|
| 150 |
+
- pathtools==0.1.2
|
| 151 |
+
- pip==23.3
|
| 152 |
+
- pkgutil-resolve-name==1.3.10
|
| 153 |
+
- portalocker==2.8.2
|
| 154 |
+
- protobuf==3.20.2
|
| 155 |
+
- psutil==5.9.6
|
| 156 |
+
- pyarrow==14.0.0
|
| 157 |
+
- pyasn1==0.5.0
|
| 158 |
+
- pyasn1-modules==0.3.0
|
| 159 |
+
- pycparser==2.21
|
| 160 |
+
- pydeck==0.8.1b0
|
| 161 |
+
- pyparsing==3.1.1
|
| 162 |
+
- python-dateutil==2.8.2
|
| 163 |
+
- pytorch-pretrained-biggan==0.1.1
|
| 164 |
+
- pytz==2023.3.post1
|
| 165 |
+
- referencing==0.30.2
|
| 166 |
+
- regex==2023.10.3
|
| 167 |
+
- requests==2.31.0
|
| 168 |
+
- requests-oauthlib==1.3.1
|
| 169 |
+
- rich==13.6.0
|
| 170 |
+
- rjieba==0.1.11
|
| 171 |
+
- roformer==0.4.3
|
| 172 |
+
- rpds-py==0.10.6
|
| 173 |
+
- rsa==4.9
|
| 174 |
+
- s3transfer==0.7.0
|
| 175 |
+
- safetensors==0.4.0
|
| 176 |
+
- scikit-learn==1.1.1
|
| 177 |
+
- scipy==1.10.1
|
| 178 |
+
- sentence-transformers==2.2.2
|
| 179 |
+
- sentencepiece==0.1.99
|
| 180 |
+
- sentry-sdk==1.34.0
|
| 181 |
+
- seqeval==1.2.2
|
| 182 |
+
- setproctitle==1.3.3
|
| 183 |
+
- setuptools==68.0.0
|
| 184 |
+
- simpletransformers==0.64.3
|
| 185 |
+
- six==1.16.0
|
| 186 |
+
- skl2onnx==1.15.0
|
| 187 |
+
- smmap==5.0.1
|
| 188 |
+
- streamlit==1.28.1
|
| 189 |
+
- sympy==1.12
|
| 190 |
+
- tabulate==0.9.0
|
| 191 |
+
- tenacity==8.2.3
|
| 192 |
+
- tensorboard==2.14.0
|
| 193 |
+
- tensorboard-data-server==0.7.2
|
| 194 |
+
- termcolor==2.3.0
|
| 195 |
+
- threadpoolctl==3.2.0
|
| 196 |
+
- timm==0.9.8
|
| 197 |
+
- tokenizers==0.14.1
|
| 198 |
+
- toml==0.10.2
|
| 199 |
+
- toolz==0.12.0
|
| 200 |
+
- torch==2.1.0
|
| 201 |
+
- torch-geometric==2.4.0
|
| 202 |
+
- torchaudio==2.1.0
|
| 203 |
+
- torchvision==0.16.0
|
| 204 |
+
- tornado==6.3.3
|
| 205 |
+
- tqdm==4.66.1
|
| 206 |
+
- transformers==4.35.0
|
| 207 |
+
- triton==2.1.0
|
| 208 |
+
- turnkeyml==0.2.0
|
| 209 |
+
- typeguard==4.1.5
|
| 210 |
+
- typing-extensions==4.8.0
|
| 211 |
+
- tzdata==2023.3
|
| 212 |
+
- tzlocal==5.2
|
| 213 |
+
- urllib3==1.26.18
|
| 214 |
+
- validators==0.22.0
|
| 215 |
+
- wandb==0.15.12
|
| 216 |
+
- watchdog==3.0.0
|
| 217 |
+
- werkzeug==3.0.1
|
| 218 |
+
- wheel==0.41.2
|
| 219 |
+
- xgboost==1.6.1
|
| 220 |
+
- xxhash==3.4.1
|
| 221 |
+
- yacs==0.1.8
|
| 222 |
+
- yarl==1.9.2
|
| 223 |
+
- zipp==3.17.0
|
| 224 |
+
task: Computer_Vision
|