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‎open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-onnxruntime_v1.22.1-default_config/README.md

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| Model | Scenario | Accuracy | Throughput | Latency (in ms) |
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|----------|------------|------------|--------------|-------------------|
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| resnet50 | offline | 76 | 23.162 | - |
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| resnet50 | offline | 76 | 23.034 | - |

‎open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-onnxruntime_v1.22.1-default_config/resnet50/offline/README.md

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@@ -16,16 +16,16 @@ pip install -U mlcflow
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mlc rm cache -f
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mlc pull repo anandhu-eng@mlperf-automations --checkout=38e0b42a598bc2fdd309140ec5912534b9a12ea1
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mlc pull repo mlcommons@mlperf-automations --checkout=5a76d192d98d314a8a4aa3e599e193833beab9b2
2020

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```
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*Note that if you want to use the [latest automation recipes](https://docs.mlcommons.org/inference) for MLPerf,
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you should simply reload anandhu-eng@mlperf-automations without checkout and clean MLC cache as follows:*
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you should simply reload mlcommons@mlperf-automations without checkout and clean MLC cache as follows:*
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```bash
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mlc rm repo anandhu-eng@mlperf-automations
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mlc pull repo anandhu-eng@mlperf-automations
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mlc rm repo mlcommons@mlperf-automations
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mlc pull repo mlcommons@mlperf-automations
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mlc rm cache -f
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```
@@ -40,4 +40,4 @@ Model Precision: fp32
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`acc`: `76.0`, Required accuracy for closed division `>= 75.6954`
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### Performance Results
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`Samples per second`: `23.1621`
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`Samples per second`: `23.0339`

‎open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-onnxruntime_v1.22.1-default_config/resnet50/offline/accuracy_console.out

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python3 python/main.py --profile resnet50-onnxruntime --model "/home/runner/MLC/repos/local/cache/download-file_ml-model-resnet_3f0b1706/resnet50_v1.onnx" --dataset-path /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_691ca565 --output "/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_479cba4d/test_results/gh_ubuntu-latest x86-reference-cpu-onnxruntime-v1.22.1-default_config/resnet50/offline/accuracy" --scenario Offline --count 500 --threads 4 --user_conf /home/runner/MLC/repos/anandhu-eng@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/21cf7e8060d44e37bd735bc5d72d9600.conf --accuracy --use_preprocessed_dataset --cache_dir /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_691ca565 --dataset-list /home/runner/MLC/repos/local/cache/extract-file_imagenet-aux-da_3958d3fa/val.txt
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INFO:main:Namespace(dataset='imagenet', dataset_path='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_691ca565', dataset_list='/home/runner/MLC/repos/local/cache/extract-file_imagenet-aux-da_3958d3fa/val.txt', data_format=None, profile='resnet50-onnxruntime', scenario='Offline', max_batchsize=32, model='/home/runner/MLC/repos/local/cache/download-file_ml-model-resnet_3f0b1706/resnet50_v1.onnx', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_479cba4d/test_results/gh_ubuntu-latest x86-reference-cpu-onnxruntime-v1.22.1-default_config/resnet50/offline/accuracy', inputs=None, outputs=['ArgMax:0'], backend='onnxruntime', device=None, model_name='resnet50', threads=4, qps=None, cache=0, cache_dir='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_691ca565', preprocessed_dir=None, use_preprocessed_dataset=True, accuracy=True, find_peak_performance=False, debug=False, user_conf='/home/runner/MLC/repos/anandhu-eng@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/21cf7e8060d44e37bd735bc5d72d9600.conf', audit_conf='audit.config', time=None, count=500, performance_sample_count=None, max_latency=None, samples_per_query=8)
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python3 python/main.py --profile resnet50-onnxruntime --model "/home/runner/MLC/repos/local/cache/download-file_ml-model-resnet_89f14012/resnet50_v1.onnx" --dataset-path /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_0312f450 --output "/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_502b9796/test_results/gh_ubuntu-latest x86-reference-cpu-onnxruntime-v1.22.1-default_config/resnet50/offline/accuracy" --scenario Offline --count 500 --threads 4 --user_conf /home/runner/MLC/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/0b9f87e37af64bbbb53f29cb0889c3bb.conf --accuracy --use_preprocessed_dataset --cache_dir /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_0312f450 --dataset-list /home/runner/MLC/repos/local/cache/extract-file_imagenet-aux-da_33592a23/val.txt
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INFO:main:Namespace(dataset='imagenet', dataset_path='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_0312f450', dataset_list='/home/runner/MLC/repos/local/cache/extract-file_imagenet-aux-da_33592a23/val.txt', data_format=None, profile='resnet50-onnxruntime', scenario='Offline', max_batchsize=32, model='/home/runner/MLC/repos/local/cache/download-file_ml-model-resnet_89f14012/resnet50_v1.onnx', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_502b9796/test_results/gh_ubuntu-latest x86-reference-cpu-onnxruntime-v1.22.1-default_config/resnet50/offline/accuracy', inputs=None, outputs=['ArgMax:0'], backend='onnxruntime', device=None, model_name='resnet50', threads=4, qps=None, cache=0, cache_dir='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_0312f450', preprocessed_dir=None, use_preprocessed_dataset=True, accuracy=True, find_peak_performance=False, debug=False, user_conf='/home/runner/MLC/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/0b9f87e37af64bbbb53f29cb0889c3bb.conf', audit_conf='audit.config', time=None, count=500, performance_sample_count=None, max_latency=None, samples_per_query=8)
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INFO:imagenet:Loading 500 preprocessed images using 4 threads
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INFO:imagenet:loaded 500 images, cache=0, already_preprocessed=True, took=0.0sec
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INFO:main:starting TestScenario.Offline
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TestScenario.Offline qps=0.74, mean=13.5352, time=21.629, acc=76.000%, queries=16, tiles=50.0:13.7830,80.0:20.4172,90.0:21.3307,95.0:21.4365,99.0:21.4448,99.9:21.4466
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TestScenario.Offline qps=0.73, mean=13.6673, time=21.800, acc=76.000%, queries=16, tiles=50.0:13.9125,80.0:20.6507,90.0:21.5267,95.0:21.5926,99.0:21.6146,99.9:21.6195

‎open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-onnxruntime_v1.22.1-default_config/resnet50/offline/mlc-deps.mmd

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app-mlperf-inference,d775cac873ee4231_(_python,_resnet50,_onnxruntime,_cpu,_test,_r5.1-dev_default,_offline_) --> get,mlperf,inference,utils
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download-file,9cdc8dc41aae437e_(_wget,_url.https://armi.in/files/caffe_ilsvrc12.tar.gz_) --> detect,os
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download-and-extract,c67e81a4ce2649f5_(_extract,_wget,_url.https://armi.in/files/caffe_ilsvrc12.tar.gz_) --> download,file,_wget,_url.https://armi.in/files/caffe_ilsvrc12.tar.gz
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extract-file,3f0b76219d004817_(_keep,_path./home/runner/MLC/repos/local/cache/download-file_imagenet-aux-da_058f4f9e/caffe_ilsvrc12.tar.gz_) --> detect,os
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download-and-extract,c67e81a4ce2649f5_(_extract,_wget,_url.https://armi.in/files/caffe_ilsvrc12.tar.gz_) --> extract,file,_keep,_path./home/runner/MLC/repos/local/cache/download-file_imagenet-aux-da_058f4f9e/caffe_ilsvrc12.tar.gz
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extract-file,3f0b76219d004817_(_keep,_path./home/runner/MLC/repos/local/cache/download-file_imagenet-aux-da_f7fe21b3/caffe_ilsvrc12.tar.gz_) --> detect,os
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download-and-extract,c67e81a4ce2649f5_(_extract,_wget,_url.https://armi.in/files/caffe_ilsvrc12.tar.gz_) --> extract,file,_keep,_path./home/runner/MLC/repos/local/cache/download-file_imagenet-aux-da_f7fe21b3/caffe_ilsvrc12.tar.gz
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get-dataset-imagenet-aux,bb2c6dd8c8c64217 --> download-and-extract,_extract,_wget,_url.https://armi.in/files/caffe_ilsvrc12.tar.gz
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app-mlperf-inference,d775cac873ee4231_(_python,_resnet50,_onnxruntime,_cpu,_test,_r5.1-dev_default,_offline_) --> get,dataset-aux,imagenet-aux
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_resnet50,_onnxruntime,_offline,_cpu,_fp32_) --> detect,os
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cpu,_resnet50,_offline,_onnxruntime,_fp32_) --> detect,os
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detect-cpu,586c8a43320142f7 --> detect,os
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_resnet50,_onnxruntime,_offline,_cpu,_fp32_) --> detect,cpu
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cpu,_resnet50,_offline,_onnxruntime,_fp32_) --> detect,cpu
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get-sys-utils-cm,bc90993277e84b8e --> detect,os
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_resnet50,_onnxruntime,_offline,_cpu,_fp32_) --> get,python
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cpu,_resnet50,_offline,_onnxruntime,_fp32_) --> get,python
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get-generic-python-lib,94b62a682bc44791_(_onnxruntime_) --> detect,os
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detect-cpu,586c8a43320142f7 --> detect,os
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get-generic-python-lib,94b62a682bc44791_(_onnxruntime_) --> detect,cpu
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get-generic-python-lib,94b62a682bc44791_(_pip_) --> detect,cpu
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get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3
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get-generic-python-lib,94b62a682bc44791_(_onnxruntime_) --> get,generic-python-lib,_pip
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_resnet50,_onnxruntime,_offline,_cpu,_fp32_) --> get,generic-python-lib,_onnxruntime
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cpu,_resnet50,_offline,_onnxruntime,_fp32_) --> get,generic-python-lib,_onnxruntime
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download-file,9cdc8dc41aae437e_(_cmutil,_url.https://armi.in/files/resnet50_v1_op11/resnet50_v1.onnx_) --> detect,os
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download-and-extract,c67e81a4ce2649f5_(_url.https://armi.in/files/resnet50_v1_op11/resnet50_v1.onnx_) --> download,file,_cmutil,_url.https://armi.in/files/resnet50_v1_op11/resnet50_v1.onnx
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get-ml-model-resnet50,56203e4e998b4bc0_(_onnx,_fp32_) --> download-and-extract,_url.https://armi.in/files/resnet50_v1_op11/resnet50_v1.onnx
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_resnet50,_onnxruntime,_offline,_cpu,_fp32_) --> get,ml-model,image-classification,resnet50,raw,_onnx,_fp32
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cpu,_resnet50,_offline,_onnxruntime,_fp32_) --> get,ml-model,image-classification,resnet50,raw,_onnx,_fp32
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get-preprocessed-dataset-imagenet,f259d490bbaf45f5_(_-for.mobilenet,_NCHW_) --> get,python3
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get-dataset-imagenet-val,7afd58d287fe4f11_(_size.500,_2012_) --> detect,os
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download-file,9cdc8dc41aae437e_(_cmutil,_url.http://cKnowledge.org/ai/data/ILSVRC2012_img_val_500.tar_) --> detect,os
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download-and-extract,c67e81a4ce2649f5_(_extract,_url.http://cKnowledge.org/ai/data/ILSVRC2012_img_val_500.tar_) --> download,file,_cmutil,_url.http://cKnowledge.org/ai/data/ILSVRC2012_img_val_500.tar
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extract-file,3f0b76219d004817_(_keep,_path./home/runner/MLC/repos/local/cache/get-dataset-imagenet-val_20387655/ILSVRC2012_img_val_500.tar_) --> detect,os
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download-and-extract,c67e81a4ce2649f5_(_extract,_url.http://cKnowledge.org/ai/data/ILSVRC2012_img_val_500.tar_) --> extract,file,_keep,_path./home/runner/MLC/repos/local/cache/get-dataset-imagenet-val_20387655/ILSVRC2012_img_val_500.tar
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extract-file,3f0b76219d004817_(_keep,_path./home/runner/MLC/repos/local/cache/get-dataset-imagenet-val_48830076/ILSVRC2012_img_val_500.tar_) --> detect,os
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download-and-extract,c67e81a4ce2649f5_(_extract,_url.http://cKnowledge.org/ai/data/ILSVRC2012_img_val_500.tar_) --> extract,file,_keep,_path./home/runner/MLC/repos/local/cache/get-dataset-imagenet-val_48830076/ILSVRC2012_img_val_500.tar
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get-dataset-imagenet-val,7afd58d287fe4f11_(_size.500,_2012_) --> download-and-extract,file,_extract,_url.http://cKnowledge.org/ai/data/ILSVRC2012_img_val_500.tar
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get-preprocessed-dataset-imagenet,f259d490bbaf45f5_(_-for.mobilenet,_NCHW_) --> get,dataset,image-classification,original,_size.500,_2012
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get-preprocessed-dataset-imagenet,f259d490bbaf45f5_(_-for.mobilenet,_NCHW_) --> get,dataset-aux,image-classification,imagenet-aux
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get-generic-sys-util,bb0393afa8404a11_(_install,_libgl_) --> detect,os
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get-generic-sys-util,bb0393afa8404a11_(_libgl_) --> get,generic-sys-util,_install,_libgl
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get-preprocessed-dataset-imagenet,f259d490bbaf45f5_(_-for.mobilenet,_NCHW_) --> get,generic-sys-util,_libgl
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_resnet50,_onnxruntime,_offline,_cpu,_fp32_) --> get,dataset,image-classification,imagenet,preprocessed,_-for.mobilenet,_NCHW
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_resnet50,_onnxruntime,_offline,_cpu,_fp32_) --> get,dataset-aux,image-classification,imagenet-aux
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cpu,_resnet50,_offline,_onnxruntime,_fp32_) --> get,dataset,image-classification,imagenet,preprocessed,_-for.mobilenet,_NCHW
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cpu,_resnet50,_offline,_onnxruntime,_fp32_) --> get,dataset-aux,image-classification,imagenet-aux
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generate-mlperf-inference-user-conf,3af4475745964b93_(_wg-inference_) --> detect,os
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detect-cpu,586c8a43320142f7 --> detect,os
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generate-mlperf-inference-user-conf,3af4475745964b93_(_wg-inference_) --> detect,cpu
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generate-mlperf-inference-user-conf,3af4475745964b93_(_wg-inference_) --> get,python
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get-mlperf-inference-sut-configs,c2fbf72009e2445b --> get,cache,dir,_name.mlperf-inference-sut-configs
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generate-mlperf-inference-user-conf,3af4475745964b93_(_wg-inference_) --> get,sut,configs
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generate-mlperf-inference-user-conf,3af4475745964b93_(_wg-inference_) --> get,mlcommons,inference,src
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_resnet50,_onnxruntime,_offline,_cpu,_fp32_) --> generate,user-conf,mlperf,inference,_wg-inference
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cpu,_resnet50,_offline,_onnxruntime,_fp32_) --> generate,user-conf,mlperf,inference,_wg-inference
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get-mlperf-inference-loadgen,64c3d98d0ba04950_(_wg-inference_) --> detect,os
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get-mlperf-inference-loadgen,64c3d98d0ba04950_(_wg-inference_) --> get,python3
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get-mlperf-inference-loadgen,64c3d98d0ba04950_(_wg-inference_) --> get,mlcommons,inference,src
@@ -100,39 +100,39 @@ graph TD
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get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3
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get-generic-python-lib,94b62a682bc44791_(_package.setuptools_) --> get,generic-python-lib,_pip
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get-mlperf-inference-loadgen,64c3d98d0ba04950_(_wg-inference_) --> get,generic-python-lib,_package.setuptools
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_resnet50,_onnxruntime,_offline,_cpu,_fp32_) --> get,loadgen,_wg-inference
104-
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_resnet50,_onnxruntime,_offline,_cpu,_fp32_) --> get,mlcommons,inference,src
105-
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_resnet50,_onnxruntime,_offline,_cpu,_fp32_) --> get,mlcommons,inference,src
103+
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cpu,_resnet50,_offline,_onnxruntime,_fp32_) --> get,loadgen,_wg-inference
104+
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cpu,_resnet50,_offline,_onnxruntime,_fp32_) --> get,mlcommons,inference,src
105+
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cpu,_resnet50,_offline,_onnxruntime,_fp32_) --> get,mlcommons,inference,src
106106
get-generic-python-lib,94b62a682bc44791_(_package.psutil_) --> detect,os
107107
detect-cpu,586c8a43320142f7 --> detect,os
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get-generic-python-lib,94b62a682bc44791_(_package.psutil_) --> detect,cpu
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get-generic-python-lib,94b62a682bc44791_(_package.psutil_) --> get,python3
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get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3
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get-generic-python-lib,94b62a682bc44791_(_package.psutil_) --> get,generic-python-lib,_pip
112-
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_resnet50,_onnxruntime,_offline,_cpu,_fp32_) --> get,generic-python-lib,_package.psutil
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cpu,_resnet50,_offline,_onnxruntime,_fp32_) --> get,generic-python-lib,_package.psutil
113113
get-generic-python-lib,94b62a682bc44791_(_opencv-python_) --> detect,os
114114
detect-cpu,586c8a43320142f7 --> detect,os
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get-generic-python-lib,94b62a682bc44791_(_opencv-python_) --> detect,cpu
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get-generic-python-lib,94b62a682bc44791_(_opencv-python_) --> get,python3
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get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3
118118
get-generic-python-lib,94b62a682bc44791_(_opencv-python_) --> get,generic-python-lib,_pip
119-
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_resnet50,_onnxruntime,_offline,_cpu,_fp32_) --> get,generic-python-lib,_opencv-python
120-
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_resnet50,_onnxruntime,_offline,_cpu,_fp32_) --> get,generic-sys-util,_libgl
119+
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cpu,_resnet50,_offline,_onnxruntime,_fp32_) --> get,generic-python-lib,_opencv-python
120+
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cpu,_resnet50,_offline,_onnxruntime,_fp32_) --> get,generic-sys-util,_libgl
121121
get-generic-python-lib,94b62a682bc44791_(_numpy_) --> detect,os
122122
detect-cpu,586c8a43320142f7 --> detect,os
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get-generic-python-lib,94b62a682bc44791_(_numpy_) --> detect,cpu
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get-generic-python-lib,94b62a682bc44791_(_numpy_) --> get,python3
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get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3
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get-generic-python-lib,94b62a682bc44791_(_numpy_) --> get,generic-python-lib,_pip
127-
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_resnet50,_onnxruntime,_offline,_cpu,_fp32_) --> get,generic-python-lib,_numpy
127+
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cpu,_resnet50,_offline,_onnxruntime,_fp32_) --> get,generic-python-lib,_numpy
128128
get-generic-python-lib,94b62a682bc44791_(_pycocotools_) --> detect,os
129129
detect-cpu,586c8a43320142f7 --> detect,os
130130
get-generic-python-lib,94b62a682bc44791_(_pycocotools_) --> detect,cpu
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get-generic-python-lib,94b62a682bc44791_(_pycocotools_) --> get,python3
132132
get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3
133133
get-generic-python-lib,94b62a682bc44791_(_pycocotools_) --> get,generic-python-lib,_pip
134-
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_resnet50,_onnxruntime,_offline,_cpu,_fp32_) --> get,generic-python-lib,_pycocotools
134+
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cpu,_resnet50,_offline,_onnxruntime,_fp32_) --> get,generic-python-lib,_pycocotools
135135
detect-cpu,586c8a43320142f7 --> detect,os
136136
benchmark-program,19f369ef47084895 --> detect,cpu
137137
benchmark-program-mlperf,cfff0132a8aa4018 --> benchmark-program,program
138-
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_resnet50,_onnxruntime,_offline,_cpu,_fp32_) --> benchmark-mlperf
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cpu,_resnet50,_offline,_onnxruntime,_fp32_) --> benchmark-mlperf

‎open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-onnxruntime_v1.22.1-default_config/resnet50/offline/mlc-deps.png

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