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Results from self hosted Github actions - NVIDIARTX4090
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arjunsuresh committed Nov 8, 2024
1 parent af71a75 commit fa88b6f
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Expand Up @@ -18,7 +18,7 @@ pip install -U cmind

cm rm cache -f

cm pull repo gateoverflow@cm4mlops --checkout=58a2259330bf902d2b314d2d1bdaeb53706e9ed1
cm pull repo gateoverflow@cm4mlops --checkout=a24b7a89e94d86b17f79d33d59fa83ef4f66d391

cm run script \
--tags=app,mlperf,inference,generic,_reference,_sdxl,_pytorch,_cuda,_test,_r4.1-dev_default,_float16,_offline \
Expand All @@ -45,7 +45,7 @@ cm run script \
--env.CM_DOCKER_IMAGE_NAME=scc24-reference \
--env.CM_MLPERF_LOADGEN_ALL_MODES=yes \
--env.CM_MLPERF_INFERENCE_SOURCE_VERSION=4.1.23 \
--env.CM_MLPERF_LAST_RELEASE=v4.0 \
--env.CM_MLPERF_LAST_RELEASE=v4.1 \
--env.CM_TMP_CURRENT_PATH=/home/arjun/actions-runner/_work/cm4mlops/cm4mlops \
--env.CM_TMP_PIP_VERSION_STRING= \
--env.CM_MODEL=sdxl \
Expand All @@ -67,6 +67,7 @@ cm run script \
--add_deps_recursive.coco2014-dataset.tags=_size.50,_with-sample-ids \
--add_deps_recursive.nvidia-preprocess-data.extra_cache_tags=scc24-base \
--add_deps_recursive.inference-src.tags=_branch.dev \
--add_deps_recursive.inference-src.version=custom \
--v=False \
--print_env=False \
--print_deps=False \
Expand Down Expand Up @@ -96,4 +97,4 @@ Model Precision: fp32
`FID_SCORE`: `237.82579`, Required accuracy for closed division `>= 23.01086` and `<= 23.95008`

### Performance Results
`Samples per second`: `0.383039`
`Samples per second`: `0.382825`

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Expand Up @@ -26,5 +26,5 @@
],
"CM_HOST_PLATFORM_FLAVOR": "x86_64",
"CM_HOST_PYTHON_BITS": "64",
"CM_HOST_SYSTEM_NAME": "326a756ccd44"
"CM_HOST_SYSTEM_NAME": "3355bbc3e655"
}
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