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23 files changed

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| Model | Scenario | Accuracy | Throughput | Latency (in ms) |
22
|-----------|------------|------------|--------------|-------------------|
3-
| retinanet | offline | 49.593 | 0.421 | - |
3+
| retinanet | offline | 49.593 | 0.416 | - |

open/MLCommons/measurements/default-mlcommons_cpp-cpu-onnxruntime-default_config/retinanet/offline/README.md

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*Check [CM MLPerf docs](https://docs.mlcommons.org/inference) for more details.*
1+
*Check [MLC MLPerf docs](https://docs.mlcommons.org/inference) for more details.*
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33
## Host platform
44

@@ -8,16 +8,16 @@
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[GCC 13.2.0]
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* MLC version: unknown
1010

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## CM Run Command
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## MLC Run Command
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See [CM installation guide](https://docs.mlcommons.org/inference/install/).
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See [MLC installation guide](https://docs.mlcommons.org/inference/install/).
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```bash
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pip install -U mlcflow
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mlc rm cache -f
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mlc pull repo GATEOverflow@mlperf-automations --checkout=a88987506f31a01998bc95a411dea666b2bcc5b6
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mlc pull repo GATEOverflow@mlperf-automations --checkout=e5a1b2043c6aa97bf4b5dee7d2d78b66a819808a
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2222

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```
@@ -41,4 +41,4 @@ Model Precision: fp32
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`mAP`: `49.593`, Required accuracy for closed division `>= 37.1745`
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### Performance Results
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`Samples per second`: `0.420981`
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`Samples per second`: `0.416222`

open/MLCommons/measurements/default-mlcommons_cpp-cpu-onnxruntime-default_config/retinanet/offline/accuracy_console.out

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User Conf path: /home/runner/MLC/repos/GATEOverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/d0d8d09ed2424f30aa75087630a481f0.conf
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Dataset Preprocessed path: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-openimages_797b042e
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Dataset List filepath: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-openimages_797b042e/annotations/openimages-mlperf.json
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User Conf path: /home/runner/MLC/repos/GATEOverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/32700038f5444f31a2df57738cadb5f8.conf
2+
Dataset Preprocessed path: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-openimages_9a1d2151
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Dataset List filepath: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-openimages_9a1d2151/annotations/openimages-mlperf.json
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Scenario: Offline
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Mode: AccuracyOnly
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Batch size: 1

open/MLCommons/measurements/default-mlcommons_cpp-cpu-onnxruntime-default_config/retinanet/offline/mlc-deps.mmd

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graph TD
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app-mlperf-inference,d775cac873ee4231_(_cpp,_retinanet,_onnxruntime,_cpu,_test,_r5.1-dev_default,_offline_) --> detect,os
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app-mlperf-inference,d775cac873ee4231_(_cpp,_retinanet,_onnxruntime,_cpu,_test,_r5.1-dev_default,_offline_) --> get,sys-utils-cm
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app-mlperf-inference,d775cac873ee4231_(_cpp,_retinanet,_onnxruntime,_cpu,_test,_r5.1-dev_default,_offline_) --> get,sys-utils-mlc
44
app-mlperf-inference,d775cac873ee4231_(_cpp,_retinanet,_onnxruntime,_cpu,_test,_r5.1-dev_default,_offline_) --> get,python
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app-mlperf-inference,d775cac873ee4231_(_cpp,_retinanet,_onnxruntime,_cpu,_test,_r5.1-dev_default,_offline_) --> get,mlcommons,inference,src
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get-mlperf-inference-utils,e341e5f86d8342e5 --> get,mlperf,inference,src
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app-mlperf-inference,d775cac873ee4231_(_cpp,_retinanet,_onnxruntime,_cpu,_test,_r5.1-dev_default,_offline_) --> get,mlperf,inference,utils
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_offline,_onnxruntime,_cpu_) --> detect,os
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_cpu,_onnxruntime,_offline_) --> detect,os
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detect-cpu,586c8a43320142f7 --> detect,os
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_offline,_onnxruntime,_cpu_) --> detect,cpu
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_offline,_onnxruntime,_cpu_) --> get,sys-utils-cm
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_cpu,_onnxruntime,_offline_) --> detect,cpu
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_cpu,_onnxruntime,_offline_) --> get,sys-utils-mlc
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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
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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-cpp,bf62405e6c7a44bf_(_retinanet,_offline,_onnxruntime,_cpu_) --> get,loadgen,_wg-inference
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_offline,_onnxruntime,_cpu_) --> get,mlcommons,inference,src
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_offline,_onnxruntime,_cpu_) --> get,lib,onnxruntime,lang-cpp,_cpu
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_offline,_onnxruntime,_cpu_) --> get,dataset,preprocessed,openimages,_validation,_NCHW,_50
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_offline,_onnxruntime,_cpu_) --> get,ml-model,retinanet,_onnx,_fp32
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_cpu,_onnxruntime,_offline_) --> get,loadgen,_wg-inference
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_cpu,_onnxruntime,_offline_) --> get,mlcommons,inference,src
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_cpu,_onnxruntime,_offline_) --> get,lib,onnxruntime,lang-cpp,_cpu
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_cpu,_onnxruntime,_offline_) --> get,dataset,preprocessed,openimages,_validation,_NCHW,_50
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_cpu,_onnxruntime,_offline_) --> get,ml-model,retinanet,_onnx,_fp32
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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-cpp,bf62405e6c7a44bf_(_retinanet,_offline,_onnxruntime,_cpu_) --> generate,user-conf,mlperf,inference,_wg-inference
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_cpu,_onnxruntime,_offline_) --> generate,user-conf,mlperf,inference,_wg-inference
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detect-cpu,586c8a43320142f7 --> detect,os
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compile-program,c05042ba005a4bfa --> detect,cpu
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compile-program,c05042ba005a4bfa --> get,compiler,gcc
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detect-cpu,586c8a43320142f7 --> detect,os
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get-compiler-flags,31be8b74a69742f8 --> detect,cpu
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compile-program,c05042ba005a4bfa --> get,compiler-flags
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_offline,_onnxruntime,_cpu_) --> compile,cpp-program
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_cpu,_onnxruntime,_offline_) --> compile,cpp-program
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detect-cpu,586c8a43320142f7 --> detect,os
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benchmark-program,19f369ef47084895 --> detect,cpu
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benchmark-program-mlperf,cfff0132a8aa4018 --> benchmark-program,program
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_offline,_onnxruntime,_cpu_) --> benchmark-mlperf
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app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf_(_retinanet,_cpu,_onnxruntime,_offline_) --> benchmark-mlperf

open/MLCommons/measurements/default-mlcommons_cpp-cpu-onnxruntime-default_config/retinanet/offline/mlc-version-info.json

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}
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},
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{
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"get,sys-utils-cm": {
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"get,sys-utils-mlc": {
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"script_uid": "bc90993277e84b8e",
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"script_alias": "get-sys-utils-cm",
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"script_alias": "get-sys-utils-mlc",
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"script_tags": "get,sys-utils-cm,sys-utils-mlc",
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"script_variations": "",
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"version": "",
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"script_tags": "detect-os,detect,os,info",
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"script_variations": "",
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"version": "",
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_offline,_onnxruntime,_cpu )"
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_cpu,_onnxruntime,_offline )"
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}
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},
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{
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"script_tags": "detect,cpu,detect-cpu,info",
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"script_variations": "",
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"version": "",
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_offline,_onnxruntime,_cpu )"
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_cpu,_onnxruntime,_offline )"
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}
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},
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{
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"get,sys-utils-cm": {
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"get,sys-utils-mlc": {
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"script_uid": "bc90993277e84b8e",
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"script_alias": "get-sys-utils-cm",
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"script_alias": "get-sys-utils-mlc",
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"script_tags": "get,sys-utils-cm,sys-utils-mlc",
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"script_variations": "",
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"version": "",
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_offline,_onnxruntime,_cpu )"
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_cpu,_onnxruntime,_offline )"
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}
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},
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{
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"script_tags": "get,loadgen,inference,inference-loadgen,mlperf,mlcommons",
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"script_variations": "wg-inference",
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"version": "master",
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_offline,_onnxruntime,_cpu )"
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_cpu,_onnxruntime,_offline )"
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}
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},
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{
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"script_tags": "get,src,source,inference,inference-src,inference-source,mlperf,mlcommons",
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"script_variations": "",
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"version": "master-git-50de99161e33f32b569c7a00b6ccf56f274d418d",
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_offline,_onnxruntime,_cpu )"
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_cpu,_onnxruntime,_offline )"
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}
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},
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{
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"script_tags": "install,onnxruntime,get,prebuilt,lib,lang-c,lang-cpp",
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"script_variations": "cpu",
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"version": "",
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_offline,_onnxruntime,_cpu )"
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_cpu,_onnxruntime,_offline )"
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}
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},
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{
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"script_tags": "get,dataset,openimages,open-images,object-detection,preprocessed",
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"script_variations": "validation,NCHW,50",
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"version": "",
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_offline,_onnxruntime,_cpu )"
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_cpu,_onnxruntime,_offline )"
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}
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},
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{
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"script_tags": "get,ml-model,raw,resnext50,retinanet,object-detection",
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"script_variations": "onnx,fp32",
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"version": "",
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_offline,_onnxruntime,_cpu )"
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_cpu,_onnxruntime,_offline )"
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}
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{
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"script_tags": "generate,mlperf,inference,user-conf,inference-user-conf",
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"script_variations": "wg-inference",
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"version": "",
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_offline,_onnxruntime,_cpu )"
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_cpu,_onnxruntime,_offline )"
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}
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},
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{
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"script_tags": "compile,program,c-program,cpp-program,compile-program,compile-c-program,compile-cpp-program",
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"script_variations": "",
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"version": "",
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_offline,_onnxruntime,_cpu )"
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_cpu,_onnxruntime,_offline )"
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}
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},
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{
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"script_tags": "mlperf,benchmark-mlperf",
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"script_variations": "",
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"version": "",
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_offline,_onnxruntime,_cpu )"
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"parent": "app-mlperf-inference-mlcommons-cpp,bf62405e6c7a44bf ( retinanet,_cpu,_onnxruntime,_offline )"
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}
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}
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]

open/MLCommons/measurements/default-mlcommons_cpp-cpu-onnxruntime-default_config/retinanet/offline/os_info.json

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"MLC_HOST_PYTHON_BITS": "64",
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"MLC_HOST_SYSTEM_NAME": "pkrvmpptgkbjq6m",
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"+PATH": [
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"/home/runner/MLC/repos/local/cache/install-python-src_1ea59f7c/install/bin"
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"/home/runner/MLC/repos/local/cache/install-python-src_a7e61b92/install/bin"
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]
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}

open/MLCommons/measurements/default-mlcommons_cpp-cpu-onnxruntime-default_config/retinanet/offline/performance_console.out

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User Conf path: /home/runner/MLC/repos/GATEOverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/2ab6198ec989438c9685eec3d0397733.conf
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Dataset Preprocessed path: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-openimages_797b042e
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Dataset List filepath: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-openimages_797b042e/annotations/openimages-mlperf.json
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User Conf path: /home/runner/MLC/repos/GATEOverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/b55b1a7afba84ff795459637992336d6.conf
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Dataset Preprocessed path: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-openimages_9a1d2151
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Dataset List filepath: /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-openimages_9a1d2151/annotations/openimages-mlperf.json
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Scenario: Offline
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| Model | Scenario | Accuracy | Throughput | Latency (in ms) |
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|----------|------------|------------|--------------|-------------------|
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| resnet50 | offline | 80 | 1.757 | - |
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| resnet50 | offline | 80 | 1.74 | - |

open/MLCommons/measurements/gh_ubuntu-latest-reference-cpu-tvm-onnx_v1.19.2-default_config/resnet50/offline/README.md

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*Check [CM MLPerf docs](https://docs.mlcommons.org/inference) for more details.*
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*Check [MLC MLPerf docs](https://docs.mlcommons.org/inference) for more details.*
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## Host platform
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[GCC 13.3.0]
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## CM Run Command
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## MLC Run Command
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See [CM installation guide](https://docs.mlcommons.org/inference/install/).
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See [MLC installation guide](https://docs.mlcommons.org/inference/install/).
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```bash
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pip install -U mlcflow
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mlc rm cache -f
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mlc pull repo GATEOverflow@mlperf-automations --checkout=960cf06d3ab32290ea12afad9b31b55c56506160
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mlc pull repo GATEOverflow@mlperf-automations --checkout=e5a1b2043c6aa97bf4b5dee7d2d78b66a819808a
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```
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`acc`: `80.0`, Required accuracy for closed division `>= 75.6954`
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### Performance Results
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`Samples per second`: `1.75713`
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`Samples per second`: `1.74022`

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