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...ns/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/README.md
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| Model | Scenario | Accuracy | Throughput | Latency (in ms) | | ||
|---------------|------------|------------------------------------|--------------|-------------------| | ||
| llama2-70b-99 | offline | (61.7021, 37.9679, 39.3617, 610.0) | 0.4 | - | |
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*Check [CM MLPerf docs](https://docs.mlcommons.org/inference) for more details.* | ||
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## Host platform | ||
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* OS version: Linux-6.8.0-49-generic-x86_64-with-glibc2.35 | ||
* CPU version: x86_64 | ||
* Python version: 3.10.12 (main, Nov 6 2024, 20:22:13) [GCC 11.4.0] | ||
* MLCommons CM version: 3.5.2 | ||
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## CM Run Command | ||
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See [CM installation guide](https://docs.mlcommons.org/inference/install/). | ||
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```bash | ||
pip install -U cmind | ||
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cm rm cache -f | ||
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cm pull repo gateoverflow@mlperf-automations --checkout=976c9274c443e08307b418cb10fa995b354ff021 | ||
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cm run script \ | ||
--tags=app,mlperf,inference,generic,_reference,_llama2-70b-99,_pytorch,_cpu,_test,_r5.0-dev_default,_bfloat16,_offline \ | ||
--quiet=true \ | ||
--env.CM_MLPERF_MODEL_LLAMA2_70B_DOWNLOAD_TO_HOST=yes \ | ||
--env.CM_QUIET=yes \ | ||
--env.CM_MLPERF_IMPLEMENTATION=reference \ | ||
--env.CM_MLPERF_MODEL=llama2-70b-99 \ | ||
--env.CM_MLPERF_RUN_STYLE=test \ | ||
--env.CM_MLPERF_SKIP_SUBMISSION_GENERATION=False \ | ||
--env.CM_DOCKER_PRIVILEGED_MODE=True \ | ||
--env.CM_MLPERF_SUBMISSION_DIVISION=open \ | ||
--env.CM_MLPERF_INFERENCE_TP_SIZE=1 \ | ||
--env.CM_MLPERF_BACKEND=pytorch \ | ||
--env.CM_MLPERF_SUBMISSION_SYSTEM_TYPE=datacenter \ | ||
--env.CM_MLPERF_CLEAN_ALL=True \ | ||
--env.CM_MLPERF_DEVICE=cpu \ | ||
--env.CM_MLPERF_USE_DOCKER=True \ | ||
--env.CM_HW_NAME=gh_action \ | ||
--env.CM_MLPERF_MODEL_PRECISION=bfloat16 \ | ||
--env.CM_MLPERF_INFERENCE_PULL_CODE_CHANGES=yes \ | ||
--env.CM_MLPERF_INFERENCE_PULL_SRC_CHANGES=yes \ | ||
--env.OUTPUT_BASE_DIR=/cm-mount/home/arjun/gh_action_results \ | ||
--env.CM_MLPERF_LOADGEN_SCENARIO=Offline \ | ||
--env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/cm-mount/home/arjun/gh_action_submissions \ | ||
--env.CM_MLPERF_SUBMITTER=MLCommons \ | ||
--env.CM_MLPERF_LOADGEN_TARGET_QPS=0.001 \ | ||
--env.CM_TEST_QUERY_COUNT=1 \ | ||
--env.CM_MLPERF_LOADGEN_COMPLIANCE=no \ | ||
--env.CM_MLPERF_SUBMISSION_RUN=yes \ | ||
--env.CM_RUN_MLPERF_ACCURACY=on \ | ||
--env.CM_RUN_SUBMISSION_CHECKER=yes \ | ||
--env.CM_TAR_SUBMISSION_DIR=yes \ | ||
--env.CM_RUN_MLPERF_SUBMISSION_PREPROCESSOR=False \ | ||
--env.CM_MLPERF_SUBMISSION_GENERATION_STYLE=short \ | ||
--env.CM_MLPERF_LOADGEN_ALL_MODES=yes \ | ||
--env.CM_MLPERF_INFERENCE_VERSION=5.0-dev \ | ||
--env.CM_RUN_MLPERF_INFERENCE_APP_DEFAULTS=r5.0-dev_default \ | ||
--env.CM_MLPERF_SUBMISSION_CHECKER_VERSION=v5.0 \ | ||
--env.CM_MLPERF_INFERENCE_SOURCE_VERSION=5.0.4 \ | ||
--env.CM_MLPERF_LAST_RELEASE=v5.0 \ | ||
--env.CM_TMP_PIP_VERSION_STRING= \ | ||
--env.CM_MODEL=llama2-70b-99 \ | ||
--env.CM_MLPERF_CLEAN_SUBMISSION_DIR=yes \ | ||
--env.CM_RERUN=yes \ | ||
--env.CM_MLPERF_LOADGEN_EXTRA_OPTIONS= \ | ||
--env.CM_MLPERF_LOADGEN_MODE=performance \ | ||
--env.CM_MLPERF_LOADGEN_SCENARIOS,=Offline \ | ||
--env.CM_MLPERF_LOADGEN_MODES,=performance,accuracy \ | ||
--env.CM_OUTPUT_FOLDER_NAME=test_results \ | ||
--env.CM_DOCKER_REUSE_EXISTING_CONTAINER=no \ | ||
--env.CM_DOCKER_DETACHED_MODE=yes \ | ||
--add_deps_recursive.compiler.tags=gcc \ | ||
--add_deps_recursive.submission-checker.tags=_short-run \ | ||
--add_deps_recursive.get-mlperf-inference-results-dir.tags=_version.r5.0-dev \ | ||
--add_deps_recursive.get-mlperf-inference-submission-dir.tags=_version.r5.0-dev \ | ||
--add_deps_recursive.mlperf-inference-nvidia-scratch-space.tags=_version.r5.0-dev \ | ||
--adr.compiler.tags=gcc \ | ||
--adr.submission-checker.tags=_short-run \ | ||
--adr.get-mlperf-inference-results-dir.tags=_version.r5.0-dev \ | ||
--adr.get-mlperf-inference-submission-dir.tags=_version.r5.0-dev \ | ||
--adr.mlperf-inference-nvidia-scratch-space.tags=_version.r5.0-dev \ | ||
--v=False \ | ||
--print_env=False \ | ||
--print_deps=False \ | ||
--dump_version_info=True | ||
``` | ||
*Note that if you want to use the [latest automation recipes](https://docs.mlcommons.org/inference) for MLPerf (CM scripts), | ||
you should simply reload gateoverflow@mlperf-automations without checkout and clean CM cache as follows:* | ||
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```bash | ||
cm rm repo gateoverflow@mlperf-automations | ||
cm pull repo gateoverflow@mlperf-automations | ||
cm rm cache -f | ||
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``` | ||
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## Results | ||
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Platform: gh_action-reference-cpu-pytorch_v2.5.1-default_config | ||
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Model Precision: fp32 | ||
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### Accuracy Results | ||
`ROUGE1`: `61.7021`, Required accuracy for closed division `>= 43.98689` | ||
`ROUGE2`: `37.9679`, Required accuracy for closed division `>= 21.81485` | ||
`ROUGEL`: `39.3617`, Required accuracy for closed division `>= 28.33004` | ||
`TOKENS_PER_SAMPLE`: `610.0`, Required accuracy for closed division `>= 265.005` and `<= 323.895` | ||
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### Performance Results | ||
`Samples per second`: `0.400375` |
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graph TD | ||
app-mlperf-inference,d775cac873ee4231_(_reference,_llama2-70b-99,_pytorch,_cpu,_test,_r5.0-dev_default,_bfloat16,_offline_) --> detect,os | ||
app-mlperf-inference,d775cac873ee4231_(_reference,_llama2-70b-99,_pytorch,_cpu,_test,_r5.0-dev_default,_bfloat16,_offline_) --> get,sys-utils-cm | ||
app-mlperf-inference,d775cac873ee4231_(_reference,_llama2-70b-99,_pytorch,_cpu,_test,_r5.0-dev_default,_bfloat16,_offline_) --> get,python | ||
get-mlperf-inference-src,4b57186581024797 --> detect,os | ||
get-mlperf-inference-src,4b57186581024797 --> get,python3 | ||
get-mlperf-inference-src,4b57186581024797 --> get,git,repo,_branch.master,_repo.https://github.com/mlcommons/inference | ||
app-mlperf-inference,d775cac873ee4231_(_reference,_llama2-70b-99,_pytorch,_cpu,_test,_r5.0-dev_default,_bfloat16,_offline_) --> get,mlcommons,inference,src | ||
pull-git-repo,c23132ed65c4421d --> detect,os | ||
app-mlperf-inference,d775cac873ee4231_(_reference,_llama2-70b-99,_pytorch,_cpu,_test,_r5.0-dev_default,_bfloat16,_offline_) --> pull,git,repo | ||
get-mlperf-inference-src,4b57186581024797 --> detect,os | ||
get-mlperf-inference-src,4b57186581024797 --> get,python3 | ||
get-mlperf-inference-src,4b57186581024797 --> get,git,repo,_branch.master,_repo.https://github.com/mlcommons/inference | ||
get-mlperf-inference-utils,e341e5f86d8342e5 --> get,mlperf,inference,src | ||
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_cpu,_llama2-70b-99,_pytorch,_bfloat16_) --> detect,os | ||
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app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_cpu,_llama2-70b-99,_pytorch,_bfloat16_) --> detect,cpu | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_cpu,_llama2-70b-99,_pytorch,_bfloat16_) --> get,sys-utils-cm | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_cpu,_llama2-70b-99,_pytorch,_bfloat16_) --> get,python | ||
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get-generic-python-lib,94b62a682bc44791_(_huggingface_hub_) --> get,python3 | ||
get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 | ||
get-generic-python-lib,94b62a682bc44791_(_huggingface_hub_) --> get,generic-python-lib,_pip | ||
get-ml-model-huggingface-zoo,53cf8252a443446a_(_clone-repo,_model-stub.meta-llama/Llama-2-70b-chat-hf_) --> get,generic-python-lib,_huggingface_hub | ||
get-ml-model-huggingface-zoo,53cf8252a443446a_(_clone-repo,_model-stub.meta-llama/Llama-2-70b-chat-hf_) --> get,git,repo,_lfs,_repo.https://huggingface.co/meta-llama/Llama-2-70b-chat-hf | ||
get-ml-model-llama2,5db97be9f61244c6_(_pytorch_) --> get,ml-model,huggingface,zoo,_clone-repo,_model-stub.meta-llama/Llama-2-70b-chat-hf | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_cpu,_llama2-70b-99,_pytorch,_bfloat16_) --> get,ml-model,llama2,raw,_pytorch | ||
get-preprocessed-dataset-openorca,5614c39cb1564d72_(_validation,_mlcommons_) --> get,sys-utils-cm | ||
get-preprocessed-dataset-openorca,5614c39cb1564d72_(_validation,_mlcommons_) --> get,python3 | ||
get-generic-python-lib,94b62a682bc44791_(_package.pyarrow_) --> get,python3 | ||
get-preprocessed-dataset-openorca,5614c39cb1564d72_(_validation,_mlcommons_) --> get,generic-python-lib,_package.pyarrow | ||
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get-preprocessed-dataset-openorca,5614c39cb1564d72_(_validation,_mlcommons_) --> get,generic-python-lib,_package.fastparquet | ||
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get-preprocessed-dataset-openorca,5614c39cb1564d72_(_validation,_mlcommons_) --> get,generic-python-lib,_package.transformers | ||
get-preprocessed-dataset-openorca,5614c39cb1564d72_(_validation,_mlcommons_) --> download-and-extract,_rclone,_url.mlc-inference:mlcommons-inference-wg-public/open_orca | ||
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generate-mlperf-inference-user-conf,3af4475745964b93 --> detect,os | ||
detect-cpu,586c8a43320142f7 --> detect,os | ||
generate-mlperf-inference-user-conf,3af4475745964b93 --> detect,cpu | ||
generate-mlperf-inference-user-conf,3af4475745964b93 --> get,python | ||
get-mlperf-inference-src,4b57186581024797 --> detect,os | ||
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get-mlperf-inference-src,4b57186581024797 --> detect,os | ||
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