From c4bc2b641ec8491d6f3c5a1e35cd2b6fc8eade04 Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Sun, 30 Jun 2024 23:02:43 +0530 Subject: [PATCH 01/93] nvidia sdxl initial commit --- hardware/intel_spr_i9.json | 26 +++++ script/app-mlperf-inference-nvidia/_cm.yaml | 56 +++++++++++ .../app-mlperf-inference-nvidia/customize.py | 14 +++ .../dockerfiles/.dockerignore | 1 + ...nn8.9-x86_64-ubuntu20.04-public.Dockerfile | 45 +++++++++ ...64-ubuntu20.04-public.Dockerfile.build.bat | 5 + ..._64-ubuntu20.04-public.Dockerfile.build.sh | 5 + ...6_64-ubuntu20.04-public.Dockerfile.run.bat | 1 + ...86_64-ubuntu20.04-public.Dockerfile.run.sh | 1 + .../dockerfiles/pytorch:24.03-py3.Dockerfile | 45 +++++++++ .../pytorch:24.03-py3.Dockerfile.build.bat | 5 + .../pytorch:24.03-py3.Dockerfile.build.sh | 5 + .../dockerfiles/tmp-run.sh | 89 ++++++++++++++++++ .../dockerfiles/tmp-state.json | 3 + script/get-cuda-devices/a.out | Bin 0 -> 997760 bytes 15 files changed, 301 insertions(+) create mode 100644 hardware/intel_spr_i9.json create mode 100644 script/app-mlperf-inference/dockerfiles/.dockerignore create mode 100644 script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile create mode 100644 script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.build.bat create mode 100644 script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.build.sh create mode 100644 script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.run.bat create mode 100644 script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.run.sh create mode 100644 script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile create mode 100644 script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile.build.bat create mode 100644 script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile.build.sh create mode 100755 script/app-mlperf-inference/dockerfiles/tmp-run.sh create mode 100644 script/app-mlperf-inference/dockerfiles/tmp-state.json create mode 100755 script/get-cuda-devices/a.out diff --git a/hardware/intel_spr_i9.json b/hardware/intel_spr_i9.json new file mode 100644 index 0000000000..b7cf960dbb --- /dev/null +++ b/hardware/intel_spr_i9.json @@ -0,0 +1,26 @@ +{ + "accelerator_frequency": "", + "accelerator_host_interconnect": "N/A", + "accelerator_interconnect": "N/A", + "accelerator_interconnect_topology": "", + "accelerator_memory_capacity": "N/A", + "accelerator_memory_configuration": "N/A", + "accelerator_model_name": "N/A", + "accelerator_on-chip_memories": "", + "accelerators_per_node": "0", + "cooling": "air", + "division": "open", + "host_memory_configuration": "undefined", + "host_networking": "Gig Ethernet", + "host_network_card_count": "1", + "host_networking_topology": "N/A", + "host_processor_interconnect": "", + "host_storage_type": "SSD", + "hw_notes": "", + "number_of_nodes": "1", + "status": "available", + "submitter": "cTuning", + "sw_notes": "Automated by MLCommons CM", + "system_type": "edge", + "system_type_detail": "edge server" +} diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 604a001523..f7060ad489 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -208,6 +208,24 @@ deps: - bert-vocab tags: get,squad-vocab + ######################################################################## + # Install sdxl model + - enable_if_env: + CM_MODEL: + - stable-diffusion-xl + names: + - stable-diffusion-xl + - sdxl-model + - ml-model + tags: get,ml-model,sdxl,_fp16,_rclone + + - enable_if_env: + CM_MODEL: + - get,dataset,coco2014,_validation + names: + - coco2014-preprocessed + tags: get,squad-vocab + ######################################################################## # Install OpenImages @@ -381,6 +399,41 @@ variations: - tags: get,generic-python-lib,_package.onnx version: 1.13.1 + sdxl: + group: model + env: + CM_MODEL: stable-diffusion-xl + CM_NOT_ML_MODEL_STARTING_WEIGHTS_FILENAME: "https://github.com/mlcommons/cm4mlops/blob/main/script/get-ml-model-stable-diffusion/_cm.json#L174" + CM_ML_MODEL_WEIGHT_TRANSFORMATIONS: quantization, affine fusion + CM_ML_MODEL_INPUTS_DATA_TYPE: int32 + CM_ML_MODEL_WEIGHTS_DATA_TYPE: int8 + deps: + - tags: get,generic-python-lib,_package.diffusers + names: + - diffusers + - tags: get,generic-python-lib,_package.transformers + names: + - transformers + - tags: get,generic-python-lib,_package.accelerate + names: + - accelerate + - tags: get,generic-python-lib,_package.torchmetrics + names: + - torchmetrics + - tags: get,generic-python-lib,_package.torch-fidelity + names: + - torch-fidelity + - tags: get,generic-python-lib,_package.open_clip_torch + names: + - open-clip + - tags: get,generic-python-lib,_package.opencv-python + names: + - opencv-python + - tags: get,generic-python-lib,_package.scipy + names: + - scipy + version: 1.10.1 + bert_: deps: - tags: get,generic-python-lib,_transformers @@ -718,6 +771,7 @@ variations: CM_MODEL: - dlrm-v2-99 - dlrm-v2-99.9 + - sdxl - tags: reproduce,mlperf,inference,nvidia,harness,_download_model inherit_variation_tags: true @@ -827,6 +881,8 @@ variations: CM_MODEL: - dlrm-v2-99 - dlrm-v2-99.9 + - sdxl + - tags: reproduce,mlperf,inference,nvidia,harness,_download_model inherit_variation_tags: true skip_inherit_variation_groups: diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py index bbb9cb703e..750c362cc2 100644 --- a/script/app-mlperf-inference-nvidia/customize.py +++ b/script/app-mlperf-inference-nvidia/customize.py @@ -70,6 +70,20 @@ def preprocess(i): model_name = "bert" model_path = fp32_model_path + elif "stable-diffusion" in env["CM_MODEL"]: + target_data_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'data', 'coco', 'SDXL') + if not os.path.exists(target_data_path): + cmds.append("make download_data BENCHMARKS='stable-diffusion-xl'") + fp16_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'models', 'SDXL', 'official_pytorch', 'fp16', 'stable_diffusion_fp16', 'checkpoint_pipe') + + if not os.path.exists(os.path.dirname(fp16_model_path)): + cmds.append(f"mkdir -p {os.path.dirname(fp16_model_path)}") + + if not os.path.exists(fp16_model_path): + cmds.append(f"ln -sf {env['SDXL_CHECKPOINT_PATH']} {fp16_model_path}") + model_name = "stable-diffusion" + model_path = fp16_model_path + elif "3d-unet" in env['CM_MODEL']: target_data_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'data', 'KiTS19', 'kits19', 'data') target_data_path_base_dir = os.path.dirname(target_data_path) diff --git a/script/app-mlperf-inference/dockerfiles/.dockerignore b/script/app-mlperf-inference/dockerfiles/.dockerignore new file mode 100644 index 0000000000..6b8710a711 --- /dev/null +++ b/script/app-mlperf-inference/dockerfiles/.dockerignore @@ -0,0 +1 @@ +.git diff --git a/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile b/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile new file mode 100644 index 0000000000..916c07a52e --- /dev/null +++ b/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile @@ -0,0 +1,45 @@ +FROM nvcr.io/nvidia/mlperf/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public + +# Automatically generated by the CM workflow automation meta-framework +# https://github.com/mlcommons/ck + +LABEL github="" +LABEL maintainer="" +LABEL license="" + +SHELL ["/bin/bash", "-c"] + +ARG UID=1000 +ARG GID=1000 +ARG CM_GH_TOKEN + + +# Notes: https://runnable.com/blog/9-common-dockerfile-mistakes +# Install system dependencies +RUN apt-get update -y +RUN apt-get install -y python3 python3-pip git sudo wget python3-venv + +# Setup docker environment +ENTRYPOINT ["/bin/bash", "-c"] +ENV TZ="US/Pacific" +ENV PATH="${PATH}:/home/cmuser/.local/bin" +RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ >/etc/timezone + +# Setup docker user +RUN groupadd -g $GID -o cm +RUN useradd -m -u $UID -g $GID -o --create-home --shell /bin/bash cmuser +RUN echo "cmuser ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers +USER cmuser:cm +WORKDIR /home/cmuser + +# Install python packages +RUN python3 -m pip install --user cmind requests giturlparse tabulate + +# Download CM repo for scripts +RUN cm pull repo gateoverflow@cm4mlops + +# Install all system dependencies +RUN cm run script --tags=get,sys-utils-cm --quiet + +# Run commands +RUN cm run script --tags=app,mlperf,inference,generic,_nvidia,_sdxl,_cuda,_test,_offline --quiet=true --env.CM_QUIET=yes --env.CM_MLPERF_IMPLEMENTATION=nvidia --env.CM_MLPERF_MODEL=sdxl --env.CM_MLPERF_RUN_STYLE=test --env.CM_MLPERF_SUBMISSION_SYSTEM_TYPE=edge --env.CM_MLPERF_DEVICE=cuda --env.CM_MLPERF_USE_DOCKER=True --env.CM_MLPERF_LOADGEN_SCENARIO=Offline --env.CM_TEST_QUERY_COUNT=100 --env.CM_MLPERF_FIND_PERFORMANCE_MODE=yes --env.CM_MLPERF_LOADGEN_ALL_MODES=no --env.CM_MLPERF_LOADGEN_MODE=performance --env.CM_MLPERF_RESULT_PUSH_TO_GITHUB=False --env.CM_MLPERF_SUBMISSION_GENERATION_STYLE=full --env.CM_MLPERF_SKIP_SUBMISSION_GENERATION=yes --env.CM_MLPERF_LAST_RELEASE=v4.0 --env.CM_SUT_DESC_CACHE=no --env.CM_SUT_META_EXISTS=yes --env.CM_MODEL=sdxl --env.CM_MLPERF_LOADGEN_COMPLIANCE=no --env.CM_MLPERF_LOADGEN_EXTRA_OPTIONS= --env.CM_MLPERF_LOADGEN_SCENARIOS,=Offline --env.CM_MLPERF_LOADGEN_MODES,=performance --env.CM_OUTPUT_FOLDER_NAME=test_results --add_deps_recursive.coco2014-original.tags=_full --add_deps_recursive.coco2014-preprocessed.tags=_full --add_deps_recursive.imagenet-original.tags=_full --add_deps_recursive.imagenet-preprocessed.tags=_full --add_deps_recursive.openimages-original.tags=_full --add_deps_recursive.openimages-preprocessed.tags=_full --add_deps_recursive.openorca-original.tags=_full --add_deps_recursive.openorca-preprocessed.tags=_full --v=False --print_env=False --print_deps=False --dump_version_info=True --quiet --fake_run --env.CM_RUN_STATE_DOCKER=True diff --git a/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.build.bat b/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.build.bat new file mode 100644 index 0000000000..03e1a38b70 --- /dev/null +++ b/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.build.bat @@ -0,0 +1,5 @@ +docker build ^ + --build-arg GID=\" $(id -g $USER) \" --build-arg UID=\" $(id -u $USER) \" ^ + -f "/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile" ^ + -t "cknowledge/cm-script-app-mlperf-inference:ubuntu-20.04-latest" ^ + . diff --git a/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.build.sh b/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.build.sh new file mode 100644 index 0000000000..f342d8d107 --- /dev/null +++ b/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.build.sh @@ -0,0 +1,5 @@ +docker build \ + --build-arg GID=\" $(id -g $USER) \" --build-arg UID=\" $(id -u $USER) \" \ + -f "/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile" \ + -t "cknowledge/cm-script-app-mlperf-inference:ubuntu-20.04-latest" \ + . diff --git a/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.run.bat b/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.run.bat new file mode 100644 index 0000000000..79570d3102 --- /dev/null +++ b/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.run.bat @@ -0,0 +1 @@ +docker run -it --entrypoint '' --gpus=all --shm-size=32gb --runtime=nvidia --ulimit memlock=-1 --cap-add SYS_ADMIN --cap-add SYS_TIME --security-opt apparmor=unconfined --security-opt seccomp=unconfined -v /home/anandhu/CM/repos/local/cache/95f7dde21294469a:/home/cmuser/CM/repos/local/cache/95f7dde21294469a -v /home/anandhu/CM/repos/local/cache/0b32e1b297624c74:/home/cmuser/CM/repos/local/cache/0b32e1b297624c74 -v /home/anandhu/CM/repos/local/cache/d8e56515079545cd:/home/cmuser/CM/repos/local/cache/d8e56515079545cd cknowledge/cm-script-app-mlperf-inference:ubuntu-20.04-latest bash -c 'cm pull repo && cm run script --tags=app,mlperf,inference,generic,_nvidia,_bert-99,_cuda,_test,_offline --quiet=true --env.CM_QUIET=yes --env.CM_MLPERF_IMPLEMENTATION=nvidia --env.CM_MLPERF_MODEL=bert-99 --env.CM_MLPERF_RUN_STYLE=test --env.CM_MLPERF_SUBMISSION_SYSTEM_TYPE=edge --env.CM_MLPERF_DEVICE=cuda --env.CM_MLPERF_USE_DOCKER=True --env.CM_MLPERF_LOADGEN_SCENARIO=Offline --env.CM_TEST_QUERY_COUNT=100 --env.CM_MLPERF_FIND_PERFORMANCE_MODE=yes --env.CM_MLPERF_LOADGEN_ALL_MODES=no --env.CM_MLPERF_LOADGEN_MODE=performance --env.CM_MLPERF_RESULT_PUSH_TO_GITHUB=False --env.CM_MLPERF_SUBMISSION_GENERATION_STYLE=full --env.CM_MLPERF_SKIP_SUBMISSION_GENERATION=yes --env.CM_MLPERF_LAST_RELEASE=v4.0 --env.CM_SUT_DESC_CACHE=no --env.CM_TMP_CURRENT_PATH=/home/anandhu --env.CM_TMP_PIP_VERSION_STRING= --env.CM_SUT_META_EXISTS=yes --env.CM_MODEL=bert-99 --env.CM_MLPERF_LOADGEN_COMPLIANCE=no --env.CM_MLPERF_LOADGEN_EXTRA_OPTIONS= --env.CM_MLPERF_LOADGEN_SCENARIOS,=Offline --env.CM_MLPERF_LOADGEN_MODES,=performance --env.CM_OUTPUT_FOLDER_NAME=test_results --add_deps_recursive.coco2014-original.tags=_full --add_deps_recursive.coco2014-preprocessed.tags=_full --add_deps_recursive.imagenet-original.tags=_full --add_deps_recursive.imagenet-preprocessed.tags=_full --add_deps_recursive.openimages-original.tags=_full --add_deps_recursive.openimages-preprocessed.tags=_full --add_deps_recursive.openorca-original.tags=_full --add_deps_recursive.openorca-preprocessed.tags=_full --v=False --print_env=False --print_deps=False --dump_version_info=True --env.CM_MLPERF_INFERENCE_RESULTS_DIR=/home/cmuser/CM/repos/local/cache/95f7dde21294469a --env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/home/cmuser/CM/repos/local/cache/0b32e1b297624c74/mlperf-inference-submission --env.MLPERF_SCRATCH_PATH=/home/cmuser/CM/repos/local/cache/d8e56515079545cd && bash ' diff --git a/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.run.sh b/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.run.sh new file mode 100644 index 0000000000..79570d3102 --- /dev/null +++ b/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.run.sh @@ -0,0 +1 @@ +docker run -it --entrypoint '' --gpus=all --shm-size=32gb --runtime=nvidia --ulimit memlock=-1 --cap-add SYS_ADMIN --cap-add SYS_TIME --security-opt apparmor=unconfined --security-opt seccomp=unconfined -v /home/anandhu/CM/repos/local/cache/95f7dde21294469a:/home/cmuser/CM/repos/local/cache/95f7dde21294469a -v /home/anandhu/CM/repos/local/cache/0b32e1b297624c74:/home/cmuser/CM/repos/local/cache/0b32e1b297624c74 -v /home/anandhu/CM/repos/local/cache/d8e56515079545cd:/home/cmuser/CM/repos/local/cache/d8e56515079545cd cknowledge/cm-script-app-mlperf-inference:ubuntu-20.04-latest bash -c 'cm pull repo && cm run script --tags=app,mlperf,inference,generic,_nvidia,_bert-99,_cuda,_test,_offline --quiet=true --env.CM_QUIET=yes --env.CM_MLPERF_IMPLEMENTATION=nvidia --env.CM_MLPERF_MODEL=bert-99 --env.CM_MLPERF_RUN_STYLE=test --env.CM_MLPERF_SUBMISSION_SYSTEM_TYPE=edge --env.CM_MLPERF_DEVICE=cuda --env.CM_MLPERF_USE_DOCKER=True --env.CM_MLPERF_LOADGEN_SCENARIO=Offline --env.CM_TEST_QUERY_COUNT=100 --env.CM_MLPERF_FIND_PERFORMANCE_MODE=yes --env.CM_MLPERF_LOADGEN_ALL_MODES=no --env.CM_MLPERF_LOADGEN_MODE=performance --env.CM_MLPERF_RESULT_PUSH_TO_GITHUB=False --env.CM_MLPERF_SUBMISSION_GENERATION_STYLE=full --env.CM_MLPERF_SKIP_SUBMISSION_GENERATION=yes --env.CM_MLPERF_LAST_RELEASE=v4.0 --env.CM_SUT_DESC_CACHE=no --env.CM_TMP_CURRENT_PATH=/home/anandhu --env.CM_TMP_PIP_VERSION_STRING= --env.CM_SUT_META_EXISTS=yes --env.CM_MODEL=bert-99 --env.CM_MLPERF_LOADGEN_COMPLIANCE=no --env.CM_MLPERF_LOADGEN_EXTRA_OPTIONS= --env.CM_MLPERF_LOADGEN_SCENARIOS,=Offline --env.CM_MLPERF_LOADGEN_MODES,=performance --env.CM_OUTPUT_FOLDER_NAME=test_results --add_deps_recursive.coco2014-original.tags=_full --add_deps_recursive.coco2014-preprocessed.tags=_full --add_deps_recursive.imagenet-original.tags=_full --add_deps_recursive.imagenet-preprocessed.tags=_full --add_deps_recursive.openimages-original.tags=_full --add_deps_recursive.openimages-preprocessed.tags=_full --add_deps_recursive.openorca-original.tags=_full --add_deps_recursive.openorca-preprocessed.tags=_full --v=False --print_env=False --print_deps=False --dump_version_info=True --env.CM_MLPERF_INFERENCE_RESULTS_DIR=/home/cmuser/CM/repos/local/cache/95f7dde21294469a --env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/home/cmuser/CM/repos/local/cache/0b32e1b297624c74/mlperf-inference-submission --env.MLPERF_SCRATCH_PATH=/home/cmuser/CM/repos/local/cache/d8e56515079545cd && bash ' diff --git a/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile b/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile new file mode 100644 index 0000000000..9243f6e5b0 --- /dev/null +++ b/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile @@ -0,0 +1,45 @@ +FROM nvcr.io/nvidia/pytorch:24.03-py3 + +# Automatically generated by the CM workflow automation meta-framework +# https://github.com/mlcommons/ck + +LABEL github="" +LABEL maintainer="" +LABEL license="" + +SHELL ["/bin/bash", "-c"] + +ARG UID=1000 +ARG GID=1000 +ARG CM_GH_TOKEN + + +# Notes: https://runnable.com/blog/9-common-dockerfile-mistakes +# Install system dependencies +RUN apt-get update -y +RUN apt-get install -y python3 python3-pip git sudo wget python3-venv + +# Setup docker environment +ENTRYPOINT ["/bin/bash", "-c"] +ENV TZ="US/Pacific" +ENV PATH="${PATH}:/home/cmuser/.local/bin" +RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ >/etc/timezone + +# Setup docker user +RUN groupadd -g $GID -o cm +RUN useradd -m -u $UID -g $GID -o --create-home --shell /bin/bash cmuser +RUN echo "cmuser ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers +USER cmuser:cm +WORKDIR /home/cmuser + +# Install python packages +RUN python3 -m pip install --user cmind requests giturlparse tabulate + +# Download CM repo for scripts +RUN cm pull repo gateoverflow@cm4mlops + +# Install all system dependencies +RUN cm run script --tags=get,sys-utils-cm --quiet + +# Run commands +RUN cm run script --tags=app,mlperf,inference,generic,_reference,_bert-99,_cuda,_test,_offline --quiet=true --env.CM_QUIET=yes --env.CM_MLPERF_IMPLEMENTATION=reference --env.CM_MLPERF_MODEL=bert-99 --env.CM_MLPERF_RUN_STYLE=test --env.CM_MLPERF_SUBMISSION_SYSTEM_TYPE=edge --env.CM_MLPERF_DEVICE=cuda --env.CM_MLPERF_USE_DOCKER=True --env.CM_MLPERF_LOADGEN_SCENARIO=Offline --env.CM_TEST_QUERY_COUNT=100 --env.CM_MLPERF_FIND_PERFORMANCE_MODE=yes --env.CM_MLPERF_LOADGEN_ALL_MODES=no --env.CM_MLPERF_LOADGEN_MODE=performance --env.CM_MLPERF_RESULT_PUSH_TO_GITHUB=False --env.CM_MLPERF_SUBMISSION_GENERATION_STYLE=full --env.CM_MLPERF_SKIP_SUBMISSION_GENERATION=yes --env.CM_MLPERF_LAST_RELEASE=v4.0 --env.CM_SUT_DESC_CACHE=no --env.CM_SUT_META_EXISTS=yes --env.CM_MODEL=bert-99 --env.CM_MLPERF_LOADGEN_COMPLIANCE=no --env.CM_MLPERF_LOADGEN_EXTRA_OPTIONS= --env.CM_MLPERF_LOADGEN_SCENARIOS,=Offline --env.CM_MLPERF_LOADGEN_MODES,=performance --env.CM_OUTPUT_FOLDER_NAME=test_results --add_deps_recursive.coco2014-original.tags=_full --add_deps_recursive.coco2014-preprocessed.tags=_full --add_deps_recursive.imagenet-original.tags=_full --add_deps_recursive.imagenet-preprocessed.tags=_full --add_deps_recursive.openimages-original.tags=_full --add_deps_recursive.openimages-preprocessed.tags=_full --add_deps_recursive.openorca-original.tags=_full --add_deps_recursive.openorca-preprocessed.tags=_full --v=False --print_env=False --print_deps=False --dump_version_info=True --quiet --fake_run --env.CM_RUN_STATE_DOCKER=True diff --git a/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile.build.bat b/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile.build.bat new file mode 100644 index 0000000000..c5ec83c990 --- /dev/null +++ b/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile.build.bat @@ -0,0 +1,5 @@ +docker build ^ + --build-arg GID=\" $(id -g $USER) \" --build-arg UID=\" $(id -u $USER) \" ^ + -f "/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile" ^ + -t "cknowledge/cm-script-app-mlperf-inference:ubuntu-22.04-latest" ^ + . diff --git a/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile.build.sh b/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile.build.sh new file mode 100644 index 0000000000..499bde7b4b --- /dev/null +++ b/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile.build.sh @@ -0,0 +1,5 @@ +docker build \ + --build-arg GID=\" $(id -g $USER) \" --build-arg UID=\" $(id -u $USER) \" \ + -f "/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile" \ + -t "cknowledge/cm-script-app-mlperf-inference:ubuntu-22.04-latest" \ + . diff --git a/script/app-mlperf-inference/dockerfiles/tmp-run.sh b/script/app-mlperf-inference/dockerfiles/tmp-run.sh new file mode 100755 index 0000000000..eedc3e8fdb --- /dev/null +++ b/script/app-mlperf-inference/dockerfiles/tmp-run.sh @@ -0,0 +1,89 @@ +#!/bin/bash + +export CM_DOCKER_BUILD_ARGS="GID=\" $(id -g $USER) \" UID=\" $(id -u $USER) \" ${CM_DOCKER_BUILD_ARGS}" +export PYTHONPATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/vision/classification_and_detection/python:/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/tools/submission:/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/get-mlperf-inference-utils:${PYTHONPATH}" +export BUILD_TRTLLM="0" +export CM_BUILD_DOCKERFILE="no" +export CM_CNNDM_ACCURACY_DTYPE="int32" +export CM_DOCKERFILE_WITH_PATH="/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile" +export CM_DOCKER_ADD_ALL_GPUS="True" +export CM_DOCKER_BUILD_ARGS="--build-arg GID=\" $(id -g $USER) \" --build-arg UID=\" $(id -u $USER) \"" +export CM_DOCKER_BUILD_CMD="docker build --build-arg GID=\" $(id -g $USER) \" --build-arg UID=\" $(id -u $USER) \" -f "/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile" -t "cknowledge/cm-script-app-mlperf-inference:ubuntu-20.04-latest" ." +export CM_DOCKER_DETACHED_MODE="no" +export CM_DOCKER_EXTRA_RUN_ARGS=" --runtime=nvidia --ulimit memlock=-1 --cap-add SYS_ADMIN --cap-add SYS_TIME --security-opt apparmor=unconfined --security-opt seccomp=unconfined" +export CM_DOCKER_IMAGE_BASE="ubuntu:20.04" +export CM_DOCKER_IMAGE_NAME="cm-script-app-mlperf-inference" +export CM_DOCKER_IMAGE_RECREATE="yes" +export CM_DOCKER_IMAGE_REPO="cknowledge" +export CM_DOCKER_IMAGE_TAG="ubuntu-20.04-latest" +export CM_DOCKER_IMAGE_TAG_EXTRA="-latest" +export CM_DOCKER_INTERACTIVE_MODE="True" +export CM_DOCKER_OS="ubuntu" +export CM_DOCKER_OS_VERSION="20.04" +export CM_DOCKER_PRE_RUN_COMMANDS="['cm pull repo']" +export CM_DOCKER_RUN_CMD="cm run script --tags=app,mlperf,inference,generic,_nvidia,_sdxl,_cuda,_test,_offline --quiet=true --env.CM_QUIET=yes --env.CM_MLPERF_IMPLEMENTATION=nvidia --env.CM_MLPERF_MODEL=sdxl --env.CM_MLPERF_RUN_STYLE=test --env.CM_MLPERF_SUBMISSION_SYSTEM_TYPE=edge --env.CM_MLPERF_DEVICE=cuda --env.CM_MLPERF_USE_DOCKER=True --env.CM_MLPERF_LOADGEN_SCENARIO=Offline --env.CM_TEST_QUERY_COUNT=100 --env.CM_MLPERF_FIND_PERFORMANCE_MODE=yes --env.CM_MLPERF_LOADGEN_ALL_MODES=no --env.CM_MLPERF_LOADGEN_MODE=performance --env.CM_MLPERF_RESULT_PUSH_TO_GITHUB=False --env.CM_MLPERF_SUBMISSION_GENERATION_STYLE=full --env.CM_MLPERF_SKIP_SUBMISSION_GENERATION=yes --env.CM_MLPERF_LAST_RELEASE=v4.0 --env.CM_SUT_DESC_CACHE=no --env.CM_TMP_PIP_VERSION_STRING= --env.CM_SUT_META_EXISTS=yes --env.CM_MODEL=sdxl --env.CM_MLPERF_LOADGEN_COMPLIANCE=no --env.CM_MLPERF_LOADGEN_EXTRA_OPTIONS= --env.CM_MLPERF_LOADGEN_SCENARIOS,=Offline --env.CM_MLPERF_LOADGEN_MODES,=performance --env.CM_OUTPUT_FOLDER_NAME=test_results --add_deps_recursive.coco2014-original.tags=_full --add_deps_recursive.coco2014-preprocessed.tags=_full --add_deps_recursive.imagenet-original.tags=_full --add_deps_recursive.imagenet-preprocessed.tags=_full --add_deps_recursive.openimages-original.tags=_full --add_deps_recursive.openimages-preprocessed.tags=_full --add_deps_recursive.openorca-original.tags=_full --add_deps_recursive.openorca-preprocessed.tags=_full --v=False --print_env=False --print_deps=False --dump_version_info=True --env.CM_MLPERF_INFERENCE_RESULTS_DIR=/home/cmuser/CM/repos/local/cache/95f7dde21294469a --env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/home/cmuser/CM/repos/local/cache/0b32e1b297624c74/mlperf-inference-submission --env.MLPERF_SCRATCH_PATH=/home/cmuser/CM/repos/local/cache/d8e56515079545cd --docker_run_deps " +export CM_DOCKER_RUN_SCRIPT_TAGS="app,vision,language,mlcommons,mlperf,inference,generic" +export CM_DOCKER_SHM_SIZE="32gb" +export CM_DOCKER_VOLUME_MOUNTS="['/home/anandhu/CM/repos/local/cache/95f7dde21294469a:/home/cmuser/CM/repos/local/cache/95f7dde21294469a', '/home/anandhu/CM/repos/local/cache/0b32e1b297624c74:/home/cmuser/CM/repos/local/cache/0b32e1b297624c74', '/home/anandhu/CM/repos/local/cache/d8e56515079545cd:/home/cmuser/CM/repos/local/cache/d8e56515079545cd']" +export CM_ENV_NVMITTEN_DOCKER_WHEEL_PATH="/opt/nvmitten-0.1.3b0-cp38-cp38-linux_x86_64.whl" +export CM_IMAGENET_ACCURACY_DTYPE="int32" +export CM_LIBRISPEECH_ACCURACY_DTYPE="int8" +export CM_MLOPS_REPO="gateoverflow@cm4mlops" +export CM_MLPERF_BACKEND="tensorrt" +export CM_MLPERF_DEVICE="gpu" +export CM_MLPERF_FIND_PERFORMANCE_MODE="yes" +export CM_MLPERF_IMPLEMENTATION="nvidia" +export CM_MLPERF_INFERENCE_3DUNET_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/vision/medical_imaging/3d-unet-kits19" +export CM_MLPERF_INFERENCE_BERT_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/language/bert" +export CM_MLPERF_INFERENCE_CLASSIFICATION_AND_DETECTION_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/vision/classification_and_detection" +export CM_MLPERF_INFERENCE_CONF_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/mlperf.conf" +export CM_MLPERF_INFERENCE_DLRM_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/recommendation/dlrm" +export CM_MLPERF_INFERENCE_DLRM_V2_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/recommendation/dlrm_v2" +export CM_MLPERF_INFERENCE_GPTJ_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/language/gpt-j" +export CM_MLPERF_INFERENCE_RESULTS_DIR="/home/anandhu/CM/repos/local/cache/95f7dde21294469a" +export CM_MLPERF_INFERENCE_RESULTS_VERSION="4_1" +export CM_MLPERF_INFERENCE_RNNT_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/speech_recognition/rnnt" +export CM_MLPERF_INFERENCE_SOURCE="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference" +export CM_MLPERF_INFERENCE_SUBMISSION_DIR="/home/anandhu/CM/repos/local/cache/0b32e1b297624c74/mlperf-inference-submission" +export CM_MLPERF_INFERENCE_SUBMISSION_VERSION="4_0" +export CM_MLPERF_INFERENCE_VISION_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/inference/vision" +export CM_MLPERF_LAST_RELEASE="v4.0" +export CM_MLPERF_LOADGEN_ALL_MODES="no" +export CM_MLPERF_LOADGEN_COMPLIANCE="no" +export CM_MLPERF_LOADGEN_EXTRA_OPTIONS="" +export CM_MLPERF_LOADGEN_MODE="performance" +export CM_MLPERF_LOADGEN_MODES="['performance']" +export CM_MLPERF_LOADGEN_SCENARIO="Offline" +export CM_MLPERF_LOADGEN_SCENARIOS="['Offline']" +export CM_MLPERF_MODEL="sdxl" +export CM_MLPERF_MODEL_PRECISION="float32" +export CM_MLPERF_QUANTIZATION="False" +export CM_MLPERF_RESULT_PUSH_TO_GITHUB="False" +export CM_MLPERF_RUN_STYLE="test" +export CM_MLPERF_SKIP_SUBMISSION_GENERATION="yes" +export CM_MLPERF_SUBMISSION_GENERATION_STYLE="full" +export CM_MLPERF_SUBMISSION_SYSTEM_TYPE="edge" +export CM_MLPERF_USE_DOCKER="True" +export CM_MODEL="stable-diffusion-xl" +export CM_NVIDIA_MLPERF_SCRATCH_PATH="/home/anandhu/CM/repos/local/cache/d8e56515079545cd" +export CM_NVIDIA_SCRATCH_SPACE_VERSION="4_0" +export CM_OUTPUT_FOLDER_NAME="test_results" +export CM_QUIET="yes" +export CM_REAL_RUN="True" +export CM_REGENERATE_MEASURE_FILES="yes" +export CM_RUN_STATE_DOCKER="True" +export CM_SKIP_SYS_UTILS="yes" +export CM_SQUAD_ACCURACY_DTYPE="float16" +export CM_SUT_DESC_CACHE="no" +export CM_SUT_META_EXISTS="yes" +export CM_TEST_QUERY_COUNT="100" +export CM_TMP_CURRENT_PATH="/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/app-mlperf-inference" +export CM_TMP_CURRENT_SCRIPT_PATH="/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/build-docker-image" +export CM_TMP_CURRENT_SCRIPT_REPO_PATH="/home/anandhu/CM/repos/anandhu-eng@cm4mlops" +export CM_TMP_CURRENT_SCRIPT_REPO_PATH_WITH_PREFIX="/home/anandhu/CM/repos/anandhu-eng@cm4mlops" +export CM_TMP_CURRENT_SCRIPT_WORK_PATH="/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/app-mlperf-inference/dockerfiles" +export CM_TMP_PIP_VERSION_STRING="" +export MLPERF_SCRATCH_PATH="/home/anandhu/CM/repos/local/cache/d8e56515079545cd" + + +. 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"accelerator_model_name": "N/A", - "accelerator_on-chip_memories": "", - "accelerators_per_node": "0", - "cooling": "air", - "division": "open", - "host_memory_configuration": "undefined", - "host_networking": "Gig Ethernet", - "host_network_card_count": "1", - "host_networking_topology": "N/A", - "host_processor_interconnect": "", - "host_storage_type": "SSD", - "hw_notes": "", - "number_of_nodes": "1", - "status": "available", - "submitter": "cTuning", - "sw_notes": "Automated by MLCommons CM", - "system_type": "edge", - "system_type_detail": "edge server" -} From 5786862cbd6aee4d2d4a8dd3d35e9ec972955b7b Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Mon, 1 Jul 2024 19:37:56 +0530 Subject: [PATCH 03/93] Delete script/app-mlperf-inference/dockerfiles directory --- .../dockerfiles/.dockerignore | 1 - ...nn8.9-x86_64-ubuntu20.04-public.Dockerfile | 45 ---------- ...64-ubuntu20.04-public.Dockerfile.build.bat | 5 -- ..._64-ubuntu20.04-public.Dockerfile.build.sh | 5 -- ...6_64-ubuntu20.04-public.Dockerfile.run.bat | 1 - ...86_64-ubuntu20.04-public.Dockerfile.run.sh | 1 - .../dockerfiles/pytorch:24.03-py3.Dockerfile | 45 ---------- .../pytorch:24.03-py3.Dockerfile.build.bat | 5 -- .../pytorch:24.03-py3.Dockerfile.build.sh | 5 -- .../dockerfiles/tmp-run.sh | 89 ------------------- .../dockerfiles/tmp-state.json | 3 - 11 files changed, 205 deletions(-) delete mode 100644 script/app-mlperf-inference/dockerfiles/.dockerignore delete mode 100644 script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile delete mode 100644 script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.build.bat delete mode 100644 script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.build.sh delete mode 100644 script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.run.bat delete mode 100644 script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.run.sh delete mode 100644 script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile delete mode 100644 script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile.build.bat delete mode 100644 script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile.build.sh delete mode 100755 script/app-mlperf-inference/dockerfiles/tmp-run.sh delete mode 100644 script/app-mlperf-inference/dockerfiles/tmp-state.json diff --git a/script/app-mlperf-inference/dockerfiles/.dockerignore b/script/app-mlperf-inference/dockerfiles/.dockerignore deleted file mode 100644 index 6b8710a711..0000000000 --- a/script/app-mlperf-inference/dockerfiles/.dockerignore +++ /dev/null @@ -1 +0,0 @@ -.git diff --git a/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile b/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile deleted file mode 100644 index 916c07a52e..0000000000 --- a/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile +++ /dev/null @@ -1,45 +0,0 @@ -FROM nvcr.io/nvidia/mlperf/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public - -# Automatically generated by the CM workflow automation meta-framework -# https://github.com/mlcommons/ck - -LABEL github="" -LABEL maintainer="" -LABEL license="" - -SHELL ["/bin/bash", "-c"] - -ARG UID=1000 -ARG GID=1000 -ARG CM_GH_TOKEN - - -# Notes: https://runnable.com/blog/9-common-dockerfile-mistakes -# Install system dependencies -RUN apt-get update -y -RUN apt-get install -y python3 python3-pip git sudo wget python3-venv - -# Setup docker environment -ENTRYPOINT ["/bin/bash", "-c"] -ENV TZ="US/Pacific" -ENV PATH="${PATH}:/home/cmuser/.local/bin" -RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ >/etc/timezone - -# Setup docker user -RUN groupadd -g $GID -o cm -RUN useradd -m -u $UID -g $GID -o --create-home --shell /bin/bash cmuser -RUN echo "cmuser ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers -USER cmuser:cm -WORKDIR /home/cmuser - -# Install python packages -RUN python3 -m pip install --user cmind requests giturlparse tabulate - -# Download CM repo for scripts -RUN cm pull repo gateoverflow@cm4mlops - -# Install all system dependencies -RUN cm run script --tags=get,sys-utils-cm --quiet - -# Run commands -RUN cm run script --tags=app,mlperf,inference,generic,_nvidia,_sdxl,_cuda,_test,_offline --quiet=true --env.CM_QUIET=yes --env.CM_MLPERF_IMPLEMENTATION=nvidia --env.CM_MLPERF_MODEL=sdxl --env.CM_MLPERF_RUN_STYLE=test --env.CM_MLPERF_SUBMISSION_SYSTEM_TYPE=edge --env.CM_MLPERF_DEVICE=cuda --env.CM_MLPERF_USE_DOCKER=True --env.CM_MLPERF_LOADGEN_SCENARIO=Offline --env.CM_TEST_QUERY_COUNT=100 --env.CM_MLPERF_FIND_PERFORMANCE_MODE=yes --env.CM_MLPERF_LOADGEN_ALL_MODES=no --env.CM_MLPERF_LOADGEN_MODE=performance --env.CM_MLPERF_RESULT_PUSH_TO_GITHUB=False --env.CM_MLPERF_SUBMISSION_GENERATION_STYLE=full --env.CM_MLPERF_SKIP_SUBMISSION_GENERATION=yes --env.CM_MLPERF_LAST_RELEASE=v4.0 --env.CM_SUT_DESC_CACHE=no --env.CM_SUT_META_EXISTS=yes --env.CM_MODEL=sdxl --env.CM_MLPERF_LOADGEN_COMPLIANCE=no --env.CM_MLPERF_LOADGEN_EXTRA_OPTIONS= --env.CM_MLPERF_LOADGEN_SCENARIOS,=Offline --env.CM_MLPERF_LOADGEN_MODES,=performance --env.CM_OUTPUT_FOLDER_NAME=test_results --add_deps_recursive.coco2014-original.tags=_full --add_deps_recursive.coco2014-preprocessed.tags=_full --add_deps_recursive.imagenet-original.tags=_full --add_deps_recursive.imagenet-preprocessed.tags=_full --add_deps_recursive.openimages-original.tags=_full --add_deps_recursive.openimages-preprocessed.tags=_full --add_deps_recursive.openorca-original.tags=_full --add_deps_recursive.openorca-preprocessed.tags=_full --v=False --print_env=False --print_deps=False --dump_version_info=True --quiet --fake_run --env.CM_RUN_STATE_DOCKER=True diff --git a/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.build.bat b/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.build.bat deleted file mode 100644 index 03e1a38b70..0000000000 --- a/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.build.bat +++ /dev/null @@ -1,5 +0,0 @@ -docker build ^ - --build-arg GID=\" $(id -g $USER) \" --build-arg UID=\" $(id -u $USER) \" ^ - -f "/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile" ^ - -t "cknowledge/cm-script-app-mlperf-inference:ubuntu-20.04-latest" ^ - . diff --git a/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.build.sh b/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.build.sh deleted file mode 100644 index f342d8d107..0000000000 --- a/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.build.sh +++ /dev/null @@ -1,5 +0,0 @@ -docker build \ - --build-arg GID=\" $(id -g $USER) \" --build-arg UID=\" $(id -u $USER) \" \ - -f "/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile" \ - -t "cknowledge/cm-script-app-mlperf-inference:ubuntu-20.04-latest" \ - . diff --git a/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.run.bat b/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.run.bat deleted file mode 100644 index 79570d3102..0000000000 --- a/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.run.bat +++ /dev/null @@ -1 +0,0 @@ -docker run -it --entrypoint '' --gpus=all --shm-size=32gb --runtime=nvidia --ulimit memlock=-1 --cap-add SYS_ADMIN --cap-add SYS_TIME --security-opt apparmor=unconfined --security-opt seccomp=unconfined -v /home/anandhu/CM/repos/local/cache/95f7dde21294469a:/home/cmuser/CM/repos/local/cache/95f7dde21294469a -v /home/anandhu/CM/repos/local/cache/0b32e1b297624c74:/home/cmuser/CM/repos/local/cache/0b32e1b297624c74 -v /home/anandhu/CM/repos/local/cache/d8e56515079545cd:/home/cmuser/CM/repos/local/cache/d8e56515079545cd cknowledge/cm-script-app-mlperf-inference:ubuntu-20.04-latest bash -c 'cm pull repo && cm run script --tags=app,mlperf,inference,generic,_nvidia,_bert-99,_cuda,_test,_offline --quiet=true --env.CM_QUIET=yes --env.CM_MLPERF_IMPLEMENTATION=nvidia --env.CM_MLPERF_MODEL=bert-99 --env.CM_MLPERF_RUN_STYLE=test --env.CM_MLPERF_SUBMISSION_SYSTEM_TYPE=edge --env.CM_MLPERF_DEVICE=cuda --env.CM_MLPERF_USE_DOCKER=True --env.CM_MLPERF_LOADGEN_SCENARIO=Offline --env.CM_TEST_QUERY_COUNT=100 --env.CM_MLPERF_FIND_PERFORMANCE_MODE=yes --env.CM_MLPERF_LOADGEN_ALL_MODES=no --env.CM_MLPERF_LOADGEN_MODE=performance --env.CM_MLPERF_RESULT_PUSH_TO_GITHUB=False --env.CM_MLPERF_SUBMISSION_GENERATION_STYLE=full --env.CM_MLPERF_SKIP_SUBMISSION_GENERATION=yes --env.CM_MLPERF_LAST_RELEASE=v4.0 --env.CM_SUT_DESC_CACHE=no --env.CM_TMP_CURRENT_PATH=/home/anandhu --env.CM_TMP_PIP_VERSION_STRING= --env.CM_SUT_META_EXISTS=yes --env.CM_MODEL=bert-99 --env.CM_MLPERF_LOADGEN_COMPLIANCE=no --env.CM_MLPERF_LOADGEN_EXTRA_OPTIONS= --env.CM_MLPERF_LOADGEN_SCENARIOS,=Offline --env.CM_MLPERF_LOADGEN_MODES,=performance --env.CM_OUTPUT_FOLDER_NAME=test_results --add_deps_recursive.coco2014-original.tags=_full --add_deps_recursive.coco2014-preprocessed.tags=_full --add_deps_recursive.imagenet-original.tags=_full --add_deps_recursive.imagenet-preprocessed.tags=_full --add_deps_recursive.openimages-original.tags=_full --add_deps_recursive.openimages-preprocessed.tags=_full --add_deps_recursive.openorca-original.tags=_full --add_deps_recursive.openorca-preprocessed.tags=_full --v=False --print_env=False --print_deps=False --dump_version_info=True --env.CM_MLPERF_INFERENCE_RESULTS_DIR=/home/cmuser/CM/repos/local/cache/95f7dde21294469a --env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/home/cmuser/CM/repos/local/cache/0b32e1b297624c74/mlperf-inference-submission --env.MLPERF_SCRATCH_PATH=/home/cmuser/CM/repos/local/cache/d8e56515079545cd && bash ' diff --git a/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.run.sh b/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.run.sh deleted file mode 100644 index 79570d3102..0000000000 --- a/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile.run.sh +++ /dev/null @@ -1 +0,0 @@ -docker run -it --entrypoint '' --gpus=all --shm-size=32gb --runtime=nvidia --ulimit memlock=-1 --cap-add SYS_ADMIN --cap-add SYS_TIME --security-opt apparmor=unconfined --security-opt seccomp=unconfined -v /home/anandhu/CM/repos/local/cache/95f7dde21294469a:/home/cmuser/CM/repos/local/cache/95f7dde21294469a -v /home/anandhu/CM/repos/local/cache/0b32e1b297624c74:/home/cmuser/CM/repos/local/cache/0b32e1b297624c74 -v /home/anandhu/CM/repos/local/cache/d8e56515079545cd:/home/cmuser/CM/repos/local/cache/d8e56515079545cd cknowledge/cm-script-app-mlperf-inference:ubuntu-20.04-latest bash -c 'cm pull repo && cm run script --tags=app,mlperf,inference,generic,_nvidia,_bert-99,_cuda,_test,_offline --quiet=true --env.CM_QUIET=yes --env.CM_MLPERF_IMPLEMENTATION=nvidia --env.CM_MLPERF_MODEL=bert-99 --env.CM_MLPERF_RUN_STYLE=test --env.CM_MLPERF_SUBMISSION_SYSTEM_TYPE=edge --env.CM_MLPERF_DEVICE=cuda --env.CM_MLPERF_USE_DOCKER=True --env.CM_MLPERF_LOADGEN_SCENARIO=Offline --env.CM_TEST_QUERY_COUNT=100 --env.CM_MLPERF_FIND_PERFORMANCE_MODE=yes --env.CM_MLPERF_LOADGEN_ALL_MODES=no --env.CM_MLPERF_LOADGEN_MODE=performance --env.CM_MLPERF_RESULT_PUSH_TO_GITHUB=False --env.CM_MLPERF_SUBMISSION_GENERATION_STYLE=full --env.CM_MLPERF_SKIP_SUBMISSION_GENERATION=yes --env.CM_MLPERF_LAST_RELEASE=v4.0 --env.CM_SUT_DESC_CACHE=no --env.CM_TMP_CURRENT_PATH=/home/anandhu --env.CM_TMP_PIP_VERSION_STRING= --env.CM_SUT_META_EXISTS=yes --env.CM_MODEL=bert-99 --env.CM_MLPERF_LOADGEN_COMPLIANCE=no --env.CM_MLPERF_LOADGEN_EXTRA_OPTIONS= --env.CM_MLPERF_LOADGEN_SCENARIOS,=Offline --env.CM_MLPERF_LOADGEN_MODES,=performance --env.CM_OUTPUT_FOLDER_NAME=test_results --add_deps_recursive.coco2014-original.tags=_full --add_deps_recursive.coco2014-preprocessed.tags=_full --add_deps_recursive.imagenet-original.tags=_full --add_deps_recursive.imagenet-preprocessed.tags=_full --add_deps_recursive.openimages-original.tags=_full --add_deps_recursive.openimages-preprocessed.tags=_full --add_deps_recursive.openorca-original.tags=_full --add_deps_recursive.openorca-preprocessed.tags=_full --v=False --print_env=False --print_deps=False --dump_version_info=True --env.CM_MLPERF_INFERENCE_RESULTS_DIR=/home/cmuser/CM/repos/local/cache/95f7dde21294469a --env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/home/cmuser/CM/repos/local/cache/0b32e1b297624c74/mlperf-inference-submission --env.MLPERF_SCRATCH_PATH=/home/cmuser/CM/repos/local/cache/d8e56515079545cd && bash ' diff --git a/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile b/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile deleted file mode 100644 index 9243f6e5b0..0000000000 --- a/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile +++ /dev/null @@ -1,45 +0,0 @@ -FROM nvcr.io/nvidia/pytorch:24.03-py3 - -# Automatically generated by the CM workflow automation meta-framework -# https://github.com/mlcommons/ck - -LABEL github="" -LABEL maintainer="" -LABEL license="" - -SHELL ["/bin/bash", "-c"] - -ARG UID=1000 -ARG GID=1000 -ARG CM_GH_TOKEN - - -# Notes: https://runnable.com/blog/9-common-dockerfile-mistakes -# Install system dependencies -RUN apt-get update -y -RUN apt-get install -y python3 python3-pip git sudo wget python3-venv - -# Setup docker environment -ENTRYPOINT ["/bin/bash", "-c"] -ENV TZ="US/Pacific" -ENV PATH="${PATH}:/home/cmuser/.local/bin" -RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ >/etc/timezone - -# Setup docker user -RUN groupadd -g $GID -o cm -RUN useradd -m -u $UID -g $GID -o --create-home --shell /bin/bash cmuser -RUN echo "cmuser ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers -USER cmuser:cm -WORKDIR /home/cmuser - -# Install python packages -RUN python3 -m pip install --user cmind requests giturlparse tabulate - -# Download CM repo for scripts -RUN cm pull repo gateoverflow@cm4mlops - -# Install all system dependencies -RUN cm run script --tags=get,sys-utils-cm --quiet - -# Run commands -RUN cm run script --tags=app,mlperf,inference,generic,_reference,_bert-99,_cuda,_test,_offline --quiet=true --env.CM_QUIET=yes --env.CM_MLPERF_IMPLEMENTATION=reference --env.CM_MLPERF_MODEL=bert-99 --env.CM_MLPERF_RUN_STYLE=test --env.CM_MLPERF_SUBMISSION_SYSTEM_TYPE=edge --env.CM_MLPERF_DEVICE=cuda --env.CM_MLPERF_USE_DOCKER=True --env.CM_MLPERF_LOADGEN_SCENARIO=Offline --env.CM_TEST_QUERY_COUNT=100 --env.CM_MLPERF_FIND_PERFORMANCE_MODE=yes --env.CM_MLPERF_LOADGEN_ALL_MODES=no --env.CM_MLPERF_LOADGEN_MODE=performance --env.CM_MLPERF_RESULT_PUSH_TO_GITHUB=False --env.CM_MLPERF_SUBMISSION_GENERATION_STYLE=full --env.CM_MLPERF_SKIP_SUBMISSION_GENERATION=yes --env.CM_MLPERF_LAST_RELEASE=v4.0 --env.CM_SUT_DESC_CACHE=no --env.CM_SUT_META_EXISTS=yes --env.CM_MODEL=bert-99 --env.CM_MLPERF_LOADGEN_COMPLIANCE=no --env.CM_MLPERF_LOADGEN_EXTRA_OPTIONS= --env.CM_MLPERF_LOADGEN_SCENARIOS,=Offline --env.CM_MLPERF_LOADGEN_MODES,=performance --env.CM_OUTPUT_FOLDER_NAME=test_results --add_deps_recursive.coco2014-original.tags=_full --add_deps_recursive.coco2014-preprocessed.tags=_full --add_deps_recursive.imagenet-original.tags=_full --add_deps_recursive.imagenet-preprocessed.tags=_full --add_deps_recursive.openimages-original.tags=_full --add_deps_recursive.openimages-preprocessed.tags=_full --add_deps_recursive.openorca-original.tags=_full --add_deps_recursive.openorca-preprocessed.tags=_full --v=False --print_env=False --print_deps=False --dump_version_info=True --quiet --fake_run --env.CM_RUN_STATE_DOCKER=True diff --git a/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile.build.bat b/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile.build.bat deleted file mode 100644 index c5ec83c990..0000000000 --- a/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile.build.bat +++ /dev/null @@ -1,5 +0,0 @@ -docker build ^ - --build-arg GID=\" $(id -g $USER) \" --build-arg UID=\" $(id -u $USER) \" ^ - -f "/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile" ^ - -t "cknowledge/cm-script-app-mlperf-inference:ubuntu-22.04-latest" ^ - . diff --git a/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile.build.sh b/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile.build.sh deleted file mode 100644 index 499bde7b4b..0000000000 --- a/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile.build.sh +++ /dev/null @@ -1,5 +0,0 @@ -docker build \ - --build-arg GID=\" $(id -g $USER) \" --build-arg UID=\" $(id -u $USER) \" \ - -f "/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/app-mlperf-inference/dockerfiles/pytorch:24.03-py3.Dockerfile" \ - -t "cknowledge/cm-script-app-mlperf-inference:ubuntu-22.04-latest" \ - . diff --git a/script/app-mlperf-inference/dockerfiles/tmp-run.sh b/script/app-mlperf-inference/dockerfiles/tmp-run.sh deleted file mode 100755 index eedc3e8fdb..0000000000 --- a/script/app-mlperf-inference/dockerfiles/tmp-run.sh +++ /dev/null @@ -1,89 +0,0 @@ -#!/bin/bash - -export CM_DOCKER_BUILD_ARGS="GID=\" $(id -g $USER) \" UID=\" $(id -u $USER) \" ${CM_DOCKER_BUILD_ARGS}" -export PYTHONPATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/vision/classification_and_detection/python:/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/tools/submission:/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/get-mlperf-inference-utils:${PYTHONPATH}" -export BUILD_TRTLLM="0" -export CM_BUILD_DOCKERFILE="no" -export CM_CNNDM_ACCURACY_DTYPE="int32" -export CM_DOCKERFILE_WITH_PATH="/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile" -export CM_DOCKER_ADD_ALL_GPUS="True" -export CM_DOCKER_BUILD_ARGS="--build-arg GID=\" $(id -g $USER) \" --build-arg UID=\" $(id -u $USER) \"" -export CM_DOCKER_BUILD_CMD="docker build --build-arg GID=\" $(id -g $USER) \" --build-arg UID=\" $(id -u $USER) \" -f "/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/app-mlperf-inference/dockerfiles/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public.Dockerfile" -t "cknowledge/cm-script-app-mlperf-inference:ubuntu-20.04-latest" ." -export CM_DOCKER_DETACHED_MODE="no" -export CM_DOCKER_EXTRA_RUN_ARGS=" --runtime=nvidia --ulimit memlock=-1 --cap-add SYS_ADMIN --cap-add SYS_TIME --security-opt apparmor=unconfined --security-opt seccomp=unconfined" -export CM_DOCKER_IMAGE_BASE="ubuntu:20.04" -export CM_DOCKER_IMAGE_NAME="cm-script-app-mlperf-inference" -export CM_DOCKER_IMAGE_RECREATE="yes" -export CM_DOCKER_IMAGE_REPO="cknowledge" -export CM_DOCKER_IMAGE_TAG="ubuntu-20.04-latest" -export CM_DOCKER_IMAGE_TAG_EXTRA="-latest" -export CM_DOCKER_INTERACTIVE_MODE="True" -export CM_DOCKER_OS="ubuntu" -export CM_DOCKER_OS_VERSION="20.04" -export CM_DOCKER_PRE_RUN_COMMANDS="['cm pull repo']" -export CM_DOCKER_RUN_CMD="cm run script --tags=app,mlperf,inference,generic,_nvidia,_sdxl,_cuda,_test,_offline --quiet=true --env.CM_QUIET=yes --env.CM_MLPERF_IMPLEMENTATION=nvidia --env.CM_MLPERF_MODEL=sdxl --env.CM_MLPERF_RUN_STYLE=test --env.CM_MLPERF_SUBMISSION_SYSTEM_TYPE=edge --env.CM_MLPERF_DEVICE=cuda --env.CM_MLPERF_USE_DOCKER=True --env.CM_MLPERF_LOADGEN_SCENARIO=Offline --env.CM_TEST_QUERY_COUNT=100 --env.CM_MLPERF_FIND_PERFORMANCE_MODE=yes --env.CM_MLPERF_LOADGEN_ALL_MODES=no --env.CM_MLPERF_LOADGEN_MODE=performance --env.CM_MLPERF_RESULT_PUSH_TO_GITHUB=False --env.CM_MLPERF_SUBMISSION_GENERATION_STYLE=full --env.CM_MLPERF_SKIP_SUBMISSION_GENERATION=yes --env.CM_MLPERF_LAST_RELEASE=v4.0 --env.CM_SUT_DESC_CACHE=no --env.CM_TMP_PIP_VERSION_STRING= --env.CM_SUT_META_EXISTS=yes --env.CM_MODEL=sdxl --env.CM_MLPERF_LOADGEN_COMPLIANCE=no --env.CM_MLPERF_LOADGEN_EXTRA_OPTIONS= --env.CM_MLPERF_LOADGEN_SCENARIOS,=Offline --env.CM_MLPERF_LOADGEN_MODES,=performance --env.CM_OUTPUT_FOLDER_NAME=test_results --add_deps_recursive.coco2014-original.tags=_full --add_deps_recursive.coco2014-preprocessed.tags=_full --add_deps_recursive.imagenet-original.tags=_full --add_deps_recursive.imagenet-preprocessed.tags=_full --add_deps_recursive.openimages-original.tags=_full --add_deps_recursive.openimages-preprocessed.tags=_full --add_deps_recursive.openorca-original.tags=_full --add_deps_recursive.openorca-preprocessed.tags=_full --v=False --print_env=False --print_deps=False --dump_version_info=True --env.CM_MLPERF_INFERENCE_RESULTS_DIR=/home/cmuser/CM/repos/local/cache/95f7dde21294469a --env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/home/cmuser/CM/repos/local/cache/0b32e1b297624c74/mlperf-inference-submission --env.MLPERF_SCRATCH_PATH=/home/cmuser/CM/repos/local/cache/d8e56515079545cd --docker_run_deps " -export CM_DOCKER_RUN_SCRIPT_TAGS="app,vision,language,mlcommons,mlperf,inference,generic" -export CM_DOCKER_SHM_SIZE="32gb" -export CM_DOCKER_VOLUME_MOUNTS="['/home/anandhu/CM/repos/local/cache/95f7dde21294469a:/home/cmuser/CM/repos/local/cache/95f7dde21294469a', '/home/anandhu/CM/repos/local/cache/0b32e1b297624c74:/home/cmuser/CM/repos/local/cache/0b32e1b297624c74', '/home/anandhu/CM/repos/local/cache/d8e56515079545cd:/home/cmuser/CM/repos/local/cache/d8e56515079545cd']" -export CM_ENV_NVMITTEN_DOCKER_WHEEL_PATH="/opt/nvmitten-0.1.3b0-cp38-cp38-linux_x86_64.whl" -export CM_IMAGENET_ACCURACY_DTYPE="int32" -export CM_LIBRISPEECH_ACCURACY_DTYPE="int8" -export CM_MLOPS_REPO="gateoverflow@cm4mlops" -export CM_MLPERF_BACKEND="tensorrt" -export CM_MLPERF_DEVICE="gpu" -export CM_MLPERF_FIND_PERFORMANCE_MODE="yes" -export CM_MLPERF_IMPLEMENTATION="nvidia" -export CM_MLPERF_INFERENCE_3DUNET_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/vision/medical_imaging/3d-unet-kits19" -export CM_MLPERF_INFERENCE_BERT_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/language/bert" -export CM_MLPERF_INFERENCE_CLASSIFICATION_AND_DETECTION_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/vision/classification_and_detection" -export CM_MLPERF_INFERENCE_CONF_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/mlperf.conf" -export CM_MLPERF_INFERENCE_DLRM_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/recommendation/dlrm" -export CM_MLPERF_INFERENCE_DLRM_V2_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/recommendation/dlrm_v2" -export CM_MLPERF_INFERENCE_GPTJ_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/language/gpt-j" -export CM_MLPERF_INFERENCE_RESULTS_DIR="/home/anandhu/CM/repos/local/cache/95f7dde21294469a" -export CM_MLPERF_INFERENCE_RESULTS_VERSION="4_1" -export CM_MLPERF_INFERENCE_RNNT_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/speech_recognition/rnnt" -export CM_MLPERF_INFERENCE_SOURCE="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference" -export CM_MLPERF_INFERENCE_SUBMISSION_DIR="/home/anandhu/CM/repos/local/cache/0b32e1b297624c74/mlperf-inference-submission" -export CM_MLPERF_INFERENCE_SUBMISSION_VERSION="4_0" -export CM_MLPERF_INFERENCE_VISION_PATH="/home/anandhu/CM/repos/local/cache/7992ff1175504e3f/inference/inference/vision" -export CM_MLPERF_LAST_RELEASE="v4.0" -export CM_MLPERF_LOADGEN_ALL_MODES="no" -export CM_MLPERF_LOADGEN_COMPLIANCE="no" -export CM_MLPERF_LOADGEN_EXTRA_OPTIONS="" -export CM_MLPERF_LOADGEN_MODE="performance" -export CM_MLPERF_LOADGEN_MODES="['performance']" -export CM_MLPERF_LOADGEN_SCENARIO="Offline" -export CM_MLPERF_LOADGEN_SCENARIOS="['Offline']" -export CM_MLPERF_MODEL="sdxl" -export CM_MLPERF_MODEL_PRECISION="float32" -export CM_MLPERF_QUANTIZATION="False" -export CM_MLPERF_RESULT_PUSH_TO_GITHUB="False" -export CM_MLPERF_RUN_STYLE="test" -export CM_MLPERF_SKIP_SUBMISSION_GENERATION="yes" -export CM_MLPERF_SUBMISSION_GENERATION_STYLE="full" -export CM_MLPERF_SUBMISSION_SYSTEM_TYPE="edge" -export CM_MLPERF_USE_DOCKER="True" -export CM_MODEL="stable-diffusion-xl" -export CM_NVIDIA_MLPERF_SCRATCH_PATH="/home/anandhu/CM/repos/local/cache/d8e56515079545cd" -export CM_NVIDIA_SCRATCH_SPACE_VERSION="4_0" -export CM_OUTPUT_FOLDER_NAME="test_results" -export CM_QUIET="yes" -export CM_REAL_RUN="True" -export CM_REGENERATE_MEASURE_FILES="yes" -export CM_RUN_STATE_DOCKER="True" -export CM_SKIP_SYS_UTILS="yes" -export CM_SQUAD_ACCURACY_DTYPE="float16" -export CM_SUT_DESC_CACHE="no" -export CM_SUT_META_EXISTS="yes" -export CM_TEST_QUERY_COUNT="100" -export CM_TMP_CURRENT_PATH="/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/app-mlperf-inference" -export CM_TMP_CURRENT_SCRIPT_PATH="/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/build-docker-image" -export CM_TMP_CURRENT_SCRIPT_REPO_PATH="/home/anandhu/CM/repos/anandhu-eng@cm4mlops" -export CM_TMP_CURRENT_SCRIPT_REPO_PATH_WITH_PREFIX="/home/anandhu/CM/repos/anandhu-eng@cm4mlops" -export CM_TMP_CURRENT_SCRIPT_WORK_PATH="/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/app-mlperf-inference/dockerfiles" -export CM_TMP_PIP_VERSION_STRING="" -export MLPERF_SCRATCH_PATH="/home/anandhu/CM/repos/local/cache/d8e56515079545cd" - - -. "/home/anandhu/CM/repos/anandhu-eng@cm4mlops/script/build-docker-image/run.sh" diff --git a/script/app-mlperf-inference/dockerfiles/tmp-state.json b/script/app-mlperf-inference/dockerfiles/tmp-state.json deleted file mode 100644 index e03109d44a..0000000000 --- a/script/app-mlperf-inference/dockerfiles/tmp-state.json +++ /dev/null @@ -1,3 +0,0 @@ -{ - "docker": {} -} From 1539554093c6d7ca14c8bee61edbf14eba99d2e9 Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Mon, 1 Jul 2024 19:38:35 +0530 Subject: [PATCH 04/93] Delete script/get-cuda-devices/a.out --- script/get-cuda-devices/a.out | Bin 997760 -> 0 bytes 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100755 script/get-cuda-devices/a.out diff --git a/script/get-cuda-devices/a.out b/script/get-cuda-devices/a.out deleted file mode 100755 index 17db4679cf96051662f703d272d47a727a124439..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 997760 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z_^*7U-mv!i<#wUdxSh9)f7u!T`lC9&z5eRX@pi}m+s^oh)A;uKgFD+_uzUUgy)*uc zAJ^lz*H6BXr?dXId;A~!Q-1fk_QlV>P(R#WcOTf!``q44@yYC%x7*`y)Nh;r+m1iK zI=$SZHvYymzP;`ouA6^fGCo(>#=ky|Z?8YRKOegMaAW)J;st}V_S*Qxe@^G$UZ;uG zW^p_3c3%Hr?B?+o|22(oubo0Fe|P8n7eAWDPp{wJ9=^D-^Zv!1@!xLarq>sD zKHrYpe*K2=`CYsIXVbWkr`I1%_OyNeM*CrUeQP@Y?s3}qcXmGS%4Y1KKt+O zJpQnL@&$kUYg4 Date: Mon, 1 Jul 2024 19:55:11 +0530 Subject: [PATCH 05/93] added req packages, paths updated --- script/app-mlperf-inference-nvidia/_cm.yaml | 33 +++++++++++++++++-- .../app-mlperf-inference-nvidia/customize.py | 8 ++++- 2 files changed, 38 insertions(+), 3 deletions(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index f7060ad489..dd9ad01312 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -401,6 +401,8 @@ variations: sdxl: group: model + default_variations: + batch-size: batch_size.2 env: CM_MODEL: stable-diffusion-xl CM_NOT_ML_MODEL_STARTING_WEIGHTS_FILENAME: "https://github.com/mlcommons/cm4mlops/blob/main/script/get-ml-model-stable-diffusion/_cm.json#L174" @@ -429,6 +431,28 @@ variations: - tags: get,generic-python-lib,_package.opencv-python names: - opencv-python + - tags: get,generic-python-lib,_package.polygraphy + names: + - polygraphy + - tags: get,generic-python-lib,_package.nvtx + names: + - nvtx + - tags: get,generic-python-lib,_package.cuda-python + names: + - cuda-python + - tags: get,generic-python-lib,_package.nvidia-ammo + names: + - nvidia-ammo + - tags: get,generic-python-lib,_package.optimum + names: + - optimum + - tags: get,generic-python-lib,_package.onnx + names: + - onnx + version: 1.14.0 + - tags: get,generic-python-lib,_package.onnxruntime + names: + - onnxruntime - tags: get,generic-python-lib,_package.scipy names: - scipy @@ -771,7 +795,7 @@ variations: CM_MODEL: - dlrm-v2-99 - dlrm-v2-99.9 - - sdxl + - stable-diffusion-xl - tags: reproduce,mlperf,inference,nvidia,harness,_download_model inherit_variation_tags: true @@ -881,7 +905,7 @@ variations: CM_MODEL: - dlrm-v2-99 - dlrm-v2-99.9 - - sdxl + - stable-diffusion-xl - tags: reproduce,mlperf,inference,nvidia,harness,_download_model inherit_variation_tags: true @@ -1199,6 +1223,11 @@ variations: env: CM_NVIDIA_CUSTOM_GPU: "yes" + rtx_4090,sdxl,offline,run_harness: + default_variations: + batch-size: batch_size.1 + use_graphs: "True" + rtx_4090,resnet50,offline,run_harness: default_variations: batch-size: batch_size.64 diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py index 750c362cc2..88a5e0a785 100644 --- a/script/app-mlperf-inference-nvidia/customize.py +++ b/script/app-mlperf-inference-nvidia/customize.py @@ -74,13 +74,16 @@ def preprocess(i): target_data_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'data', 'coco', 'SDXL') if not os.path.exists(target_data_path): cmds.append("make download_data BENCHMARKS='stable-diffusion-xl'") - fp16_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'models', 'SDXL', 'official_pytorch', 'fp16', 'stable_diffusion_fp16', 'checkpoint_pipe') + fp16_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'models', 'SDXL', 'official_pytorch', 'fp16', 'stable_diffusion_fp16') if not os.path.exists(os.path.dirname(fp16_model_path)): cmds.append(f"mkdir -p {os.path.dirname(fp16_model_path)}") if not os.path.exists(fp16_model_path): cmds.append(f"ln -sf {env['SDXL_CHECKPOINT_PATH']} {fp16_model_path}") + + cmds.append("make download_model BENCHMARKS='stable-diffusion-xl'") + model_name = "stable-diffusion" model_path = fp16_model_path @@ -425,6 +428,9 @@ def preprocess(i): extra_run_options_string = env.get('CM_MLPERF_NVIDIA_HARNESS_EXTRA_RUN_OPTIONS', '') #will be ignored during build engine + if "stable-diffusion" in env["CM_MODEL"]: + extra_build_engine_options_string += f" --model_path {os.path.join(env['MLPERF_SCRATCH_PATH'], 'models', 'SDXL/')}" + run_config += " --no_audit_verify" cmds.append(f"make {make_command} RUN_ARGS=' --benchmarks={model_name} --scenarios={scenario} {test_mode_string} {run_config} {extra_build_engine_options_string} {extra_run_options_string}'") From b0fc44f7331164052a5fd3a120cf72128a325464 Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Mon, 1 Jul 2024 23:19:58 +0530 Subject: [PATCH 06/93] corrected dataset tags for sdxl --- script/app-mlperf-inference-nvidia/_cm.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index dd9ad01312..a4a0acbd0e 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -221,10 +221,10 @@ deps: - enable_if_env: CM_MODEL: - - get,dataset,coco2014,_validation + - stable-diffusion-xl names: - coco2014-preprocessed - tags: get,squad-vocab + tags: get,dataset,coco2014,_validation ######################################################################## # Install OpenImages From 609c12f8e5eab90a8ad8f73e03da00f2d89082dc Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Tue, 2 Jul 2024 00:11:51 +0530 Subject: [PATCH 07/93] code clean --- script/app-mlperf-inference-nvidia/_cm.yaml | 3 ++- script/app-mlperf-inference-nvidia/customize.py | 17 ++++------------- 2 files changed, 6 insertions(+), 14 deletions(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index a4a0acbd0e..33d06a5fbe 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -795,7 +795,6 @@ variations: CM_MODEL: - dlrm-v2-99 - dlrm-v2-99.9 - - stable-diffusion-xl - tags: reproduce,mlperf,inference,nvidia,harness,_download_model inherit_variation_tags: true @@ -836,6 +835,7 @@ variations: - batch-size - build-engine-options + singlestream: group: loadgen-scenario env: @@ -927,6 +927,7 @@ variations: - bert-99.9 - dlrm-v2-99 - dlrm-v2-99.9 + - stable-diffusion-xl env: CM_MLPERF_NVIDIA_HARNESS_RUN_MODE: run_harness MLPERF_NVIDIA_RUN_COMMAND: run_harness diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py index 88a5e0a785..9a6d1b899f 100644 --- a/script/app-mlperf-inference-nvidia/customize.py +++ b/script/app-mlperf-inference-nvidia/customize.py @@ -72,19 +72,10 @@ def preprocess(i): elif "stable-diffusion" in env["CM_MODEL"]: target_data_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'data', 'coco', 'SDXL') - if not os.path.exists(target_data_path): - cmds.append("make download_data BENCHMARKS='stable-diffusion-xl'") + fp16_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'models', 'SDXL', 'official_pytorch', 'fp16', 'stable_diffusion_fp16') - - if not os.path.exists(os.path.dirname(fp16_model_path)): - cmds.append(f"mkdir -p {os.path.dirname(fp16_model_path)}") - - if not os.path.exists(fp16_model_path): - cmds.append(f"ln -sf {env['SDXL_CHECKPOINT_PATH']} {fp16_model_path}") - - cmds.append("make download_model BENCHMARKS='stable-diffusion-xl'") - - model_name = "stable-diffusion" + + model_name = "stable-diffusion-x1" model_path = fp16_model_path elif "3d-unet" in env['CM_MODEL']: @@ -200,7 +191,7 @@ def preprocess(i): cmds.append(f"rm -rf {os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'rnnt_dev_clean_500_raw')}") cmds.append(f"rm -rf {os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'rnnt_train_clean_512_wav')}") cmds.append(f"make preprocess_data BENCHMARKS='{model_name}'") - + else: scenario=env['CM_MLPERF_LOADGEN_SCENARIO'].lower() From 5cb40f6c72f6044d1d4c0335c0a2d4c77dc21873 Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Tue, 2 Jul 2024 02:00:25 +0530 Subject: [PATCH 08/93] added nvidia-ammo package dependancy --- script/app-mlperf-inference-nvidia/_cm.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 33d06a5fbe..eb328df3e4 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -443,6 +443,10 @@ variations: - tags: get,generic-python-lib,_package.nvidia-ammo names: - nvidia-ammo + version: 0.7.4 + env: + CM_GENERIC_PYTHON_PIP_INDEX_URL: "https://pypi.nvidia.com" + CM_GENERIC_PYTHON_PIP_EXTRA: "--no-cache-dir" - tags: get,generic-python-lib,_package.optimum names: - optimum From aaf5bea42f76392515124ecd814b69df2f10723c Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Tue, 2 Jul 2024 02:11:20 +0530 Subject: [PATCH 09/93] sdxl dataset cmd update --- script/app-mlperf-inference-nvidia/_cm.yaml | 1 + script/app-mlperf-inference-nvidia/customize.py | 3 ++- 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index eb328df3e4..a6a21735da 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -799,6 +799,7 @@ variations: CM_MODEL: - dlrm-v2-99 - dlrm-v2-99.9 + - stable-diffusion-xl - tags: reproduce,mlperf,inference,nvidia,harness,_download_model inherit_variation_tags: true diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py index 9a6d1b899f..4d4b2e6a63 100644 --- a/script/app-mlperf-inference-nvidia/customize.py +++ b/script/app-mlperf-inference-nvidia/customize.py @@ -72,7 +72,8 @@ def preprocess(i): elif "stable-diffusion" in env["CM_MODEL"]: target_data_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'data', 'coco', 'SDXL') - + if not os.path.exists(target_data_path): + cmds.append("make download_data BENCHMARKS='stable-diffusion-xl'") fp16_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'models', 'SDXL', 'official_pytorch', 'fp16', 'stable_diffusion_fp16') model_name = "stable-diffusion-x1" From 1d71be45d23cc39e7713ad1c7122690a3618f3bf Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Tue, 2 Jul 2024 02:40:25 +0530 Subject: [PATCH 10/93] dependency issue potential fix --- script/app-mlperf-inference-nvidia/_cm.yaml | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index a6a21735da..22627c2d60 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -440,6 +440,12 @@ variations: - tags: get,generic-python-lib,_package.cuda-python names: - cuda-python + - tags: get,generic-python-lib,_package.ninja + names: + - ninja + - tags: get,generic-python-lib,_package.onnxruntime + names: + - onnxruntime - tags: get,generic-python-lib,_package.nvidia-ammo names: - nvidia-ammo @@ -454,9 +460,6 @@ variations: names: - onnx version: 1.14.0 - - tags: get,generic-python-lib,_package.onnxruntime - names: - - onnxruntime - tags: get,generic-python-lib,_package.scipy names: - scipy From ad65b0cb1bbfa18bb490cd3fffab677aa1997d86 Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Mon, 1 Jul 2024 22:59:48 -0700 Subject: [PATCH 11/93] fixed typo --- script/app-mlperf-inference-nvidia/_cm.yaml | 1 - script/app-mlperf-inference-nvidia/customize.py | 2 +- 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 22627c2d60..0a35dfc06c 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -802,7 +802,6 @@ variations: CM_MODEL: - dlrm-v2-99 - dlrm-v2-99.9 - - stable-diffusion-xl - tags: reproduce,mlperf,inference,nvidia,harness,_download_model inherit_variation_tags: true diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py index 4d4b2e6a63..9caf8b75ad 100644 --- a/script/app-mlperf-inference-nvidia/customize.py +++ b/script/app-mlperf-inference-nvidia/customize.py @@ -76,7 +76,7 @@ def preprocess(i): cmds.append("make download_data BENCHMARKS='stable-diffusion-xl'") fp16_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'models', 'SDXL', 'official_pytorch', 'fp16', 'stable_diffusion_fp16') - model_name = "stable-diffusion-x1" + model_name = "stable-diffusion-xl" model_path = fp16_model_path elif "3d-unet" in env['CM_MODEL']: From f73faf8fb5f01d3348cf59011041d471849d5fad Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Tue, 2 Jul 2024 02:21:17 -0700 Subject: [PATCH 12/93] softlinked model path --- script/app-mlperf-inference-nvidia/customize.py | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py index 9caf8b75ad..72a62a0ccf 100644 --- a/script/app-mlperf-inference-nvidia/customize.py +++ b/script/app-mlperf-inference-nvidia/customize.py @@ -76,6 +76,12 @@ def preprocess(i): cmds.append("make download_data BENCHMARKS='stable-diffusion-xl'") fp16_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'models', 'SDXL', 'official_pytorch', 'fp16', 'stable_diffusion_fp16') + if not os.path.exists(os.path.dirname(fp16_model_path)): + cmds.append(f"mkdir -p {os.path.dirname(fp16_model_path)}") + + if not os.path.exists(fp16_model_path): + cmds.append(f"ln -sf {env['SDXL_CHECKPOINT_PATH']} {fp16_model_path}") + model_name = "stable-diffusion-xl" model_path = fp16_model_path @@ -184,6 +190,13 @@ def preprocess(i): if make_command == "download_model": if not os.path.exists(model_path): cmds.append(f"make download_model BENCHMARKS='{model_name}'") + elif "stable-diffusion" in env['CM_MODEL']: + folders = ["clip1", "clip2", "unetxl", "vae"] + for folder in folders: + onnx_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'models', 'SDXL', 'onnx_models', folder, 'model.onnx') + if not os.path.exists(onnx_model_path): + cmds.append(f"make download_model BENCHMARKS='{model_name}'") + break else: return {'return':0} From a07c935f3082394a08f18831cd07fa7a2f09ba13 Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Tue, 2 Jul 2024 02:23:03 -0700 Subject: [PATCH 13/93] removed cm dataset dependency --- script/app-mlperf-inference-nvidia/_cm.yaml | 7 ------- 1 file changed, 7 deletions(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 0a35dfc06c..ff1b2505d5 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -219,13 +219,6 @@ deps: - ml-model tags: get,ml-model,sdxl,_fp16,_rclone - - enable_if_env: - CM_MODEL: - - stable-diffusion-xl - names: - - coco2014-preprocessed - tags: get,dataset,coco2014,_validation - ######################################################################## # Install OpenImages From 3b653cb9e41c0897b041ecf24ebc750190a73166 Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Tue, 2 Jul 2024 17:24:55 +0530 Subject: [PATCH 14/93] added gpu variations --- script/app-mlperf-inference-nvidia/_cm.yaml | 71 ++++++++++++++++++++- 1 file changed, 70 insertions(+), 1 deletion(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index ff1b2505d5..78606e520f 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -1024,6 +1024,38 @@ variations: gpu_memory.80,gptj_,offline,run_harness: default_variations: batch-size: batch_size.32 + + gpu_memory.16,sdxl,offline,run_harness: + default_variations: + batch-size: batch_size.2 + + gpu_memory.24,sdxl,offline,run_harness: + default_variations: + batch-size: batch_size.2 + + gpu_memory.32,sdxl,offline,run_harness: + default_variations: + batch-size: batch_size.3 + + gpu_memory.80,sdxl,offline,run_harness: + default_variations: + batch-size: batch_size.8 + + gpu_memory.96,sdxl,offline,run_harness: + default_variations: + batch-size: batch_size.8 + + gpu_memory.96,sdxl,server,run_harness: + default_variations: + batch-size: batch_size.8 + + gpu_memory.80,sdxl,server,run_harness: + default_variations: + batch-size: batch_size.8 + + gpu_memory.140,sdxl,offline,run_harness: + default_variations: + batch-size: batch_size.8 gpu_memory.16,bert_,offline,run_harness: default_variations: @@ -1218,6 +1250,10 @@ variations: orin,rnnt,singlestream,run_harness: env: CM_MLPERF_NVIDIA_HARNESS_NUM_WARMUPS: "1" + + orin,sdxl,offline,run_harness: + default_variations: + batch-size: batch_size.1 rtx_4090: group: gpu-name @@ -1226,7 +1262,12 @@ variations: rtx_4090,sdxl,offline,run_harness: default_variations: - batch-size: batch_size.1 + batch-size: batch_size.2 + use_graphs: "True" + + rtx_4090,sdxl,server,run_harness: + default_variations: + batch-size: batch_size.2 use_graphs: "True" rtx_4090,resnet50,offline,run_harness: @@ -1392,6 +1433,34 @@ variations: env: CM_NVIDIA_CUSTOM_GPU: "yes" + l4,sdxl,offline,run_harness: + default_variations: + batch-size: batch_size.1 + env: + CM_MLPERF_NVIDIA_HARNESS_USE_GRAPHS: 'True' + CM_MLPERF_LOADGEN_OFFLINE_TARGET_QPS: 0.6 + + l4,sdxl,offline,run_harness,num-gpu.8: + default_variations: + batch-size: batch_size.1 + env: + CM_MLPERF_NVIDIA_HARNESS_USE_GRAPHS: 'True' + CM_MLPERF_LOADGEN_OFFLINE_TARGET_QPS: 4.8 + + l4,sdxl,server,run_harness,num-gpu.1: + default_variations: + batch-size: batch_size.1 + env: + CM_MLPERF_NVIDIA_HARNESS_USE_GRAPHS: 'True' + CM_MLPERF_LOADGEN_SERVER_TARGET_QPS: 0.55 + + l4,sdxl,server,run_harness,num-gpu.8: + default_variations: + batch-size: batch_size.1 + env: + CM_MLPERF_NVIDIA_HARNESS_USE_GRAPHS: 'True' + CM_MLPERF_LOADGEN_SERVER_TARGET_QPS: 5.05 + l4,resnet50: default_env: CM_MLPERF_LOADGEN_OFFLINE_TARGET_QPS: 10500 From 3489ddefa4d35a652dd814b76bedf680533ca8d1 Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Tue, 2 Jul 2024 05:23:07 -0700 Subject: [PATCH 15/93] updated sdxl default variation --- script/app-mlperf-inference-nvidia/_cm.yaml | 2 -- 1 file changed, 2 deletions(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 78606e520f..d27702636a 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -394,8 +394,6 @@ variations: sdxl: group: model - default_variations: - batch-size: batch_size.2 env: CM_MODEL: stable-diffusion-xl CM_NOT_ML_MODEL_STARTING_WEIGHTS_FILENAME: "https://github.com/mlcommons/cm4mlops/blob/main/script/get-ml-model-stable-diffusion/_cm.json#L174" From 5be0abeb3e43073fb79898f7dbbc93232b1d9657 Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Tue, 2 Jul 2024 18:20:50 +0530 Subject: [PATCH 16/93] added sdxl server batcher time limit --- script/app-mlperf-inference-nvidia/_cm.yaml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index d27702636a..035ac4d89f 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -88,6 +88,7 @@ input_mapping: num_sort_segments: CM_MLPERF_NVIDIA_HARNESS_NUM_SORT_SEGMENTS skip_postprocess: CM_MLPERF_NVIDIA_HARNESS_SKIP_POSTPROCESS embedding_weights_on_gpu_part: CM_MLPERF_NVIDIA_HARNESS_EMBEDDING_WEIGHTS_ON_GPU_PART + sdxl_batcher_time_limit: CM_MLPERF_NVIDIA_HARNESS_SDXL_SERVER_BATCHER_TIME_LIMIT # Dependencies on other CM scripts @@ -1451,6 +1452,7 @@ variations: env: CM_MLPERF_NVIDIA_HARNESS_USE_GRAPHS: 'True' CM_MLPERF_LOADGEN_SERVER_TARGET_QPS: 0.55 + CM_MLPERF_NVIDIA_HARNESS_SDXL_SERVER_BATCHER_TIME_LIMIT: 0 l4,sdxl,server,run_harness,num-gpu.8: default_variations: @@ -1458,6 +1460,7 @@ variations: env: CM_MLPERF_NVIDIA_HARNESS_USE_GRAPHS: 'True' CM_MLPERF_LOADGEN_SERVER_TARGET_QPS: 5.05 + CM_MLPERF_NVIDIA_HARNESS_SDXL_SERVER_BATCHER_TIME_LIMIT: 0 l4,resnet50: default_env: From 7f75c97d1a283a10fe930b0d7a34380269e79942 Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Tue, 2 Jul 2024 18:30:16 +0530 Subject: [PATCH 17/93] updated run configs --- script/app-mlperf-inference-nvidia/customize.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py index 72a62a0ccf..2e7ae2b6f7 100644 --- a/script/app-mlperf-inference-nvidia/customize.py +++ b/script/app-mlperf-inference-nvidia/customize.py @@ -407,6 +407,10 @@ def preprocess(i): enable_sort = env.get('CM_MLPERF_NVIDIA_HARNESS_ENABLE_SORT') if enable_sort and enable_sort.lower() not in [ "no", "false" ]: run_config += f" --enable_sort" + + sdxl_server_batcher_time_limit = env.get('CM_MLPERF_NVIDIA_HARNESS_ENABLE_SORT') + if sdxl_server_batcher_time_limit: + run_config += f" --sdxl_batcher_time_limit {sdxl_server_batcher_time_limit}" num_sort_segments = env.get('CM_MLPERF_NVIDIA_HARNESS_NUM_SORT_SEGMENTS') if num_sort_segments: From d8ecf98a053ee8fc39b4912b12e5b4cf1357e724 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Wed, 3 Jul 2024 17:50:19 +0530 Subject: [PATCH 18/93] Fix parent directory missing issue for ml-model-gptj-nvidia --- script/get-ml-model-gptj/customize.py | 1 + script/get-ml-model-gptj/run-nvidia.sh | 1 + 2 files changed, 2 insertions(+) diff --git a/script/get-ml-model-gptj/customize.py b/script/get-ml-model-gptj/customize.py index 4c52200930..ab475f0454 100644 --- a/script/get-ml-model-gptj/customize.py +++ b/script/get-ml-model-gptj/customize.py @@ -21,6 +21,7 @@ def preprocess(i): env['INT8_MODEL_DIR'] = os.getcwd() else: env['INT4_MODEL_DIR'] = os.getcwd() + elif env.get('CM_TMP_ML_MODEL_PROVIDER', '') == 'nvidia': i['run_script_input']['script_name'] = 'run-nvidia' gpu_arch = int(float(env['CM_CUDA_DEVICE_PROP_GPU_COMPUTE_CAPABILITY']) * 10) diff --git a/script/get-ml-model-gptj/run-nvidia.sh b/script/get-ml-model-gptj/run-nvidia.sh index efd8fc5a12..deba000ef9 100644 --- a/script/get-ml-model-gptj/run-nvidia.sh +++ b/script/get-ml-model-gptj/run-nvidia.sh @@ -1,6 +1,7 @@ #!/bin/bash if [[ ! -e ${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/GPTJ-6B/checkpoint-final ]]; then + mkdir -p ${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/GPTJ-6B/ cp -r ${GPTJ_CHECKPOINT_PATH} ${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/GPTJ-6B/checkpoint-final test $? -eq 0 || exit $? fi From 36be08138f014ddc2b8d9ed2f8b37e51f0cf6e66 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Wed, 3 Jul 2024 18:29:01 +0530 Subject: [PATCH 19/93] Added more tags to separate local mlperf inference results from official one --- script/app-mlperf-inference/_cm.yaml | 4 ++-- script/build-mlperf-inference-server-nvidia/_cm.yaml | 4 ++-- script/generate-mlperf-inference-submission/_cm.json | 2 +- script/generate-mlperf-inference-user-conf/_cm.yaml | 2 +- script/get-mlperf-inference-results-dir/_cm.json | 1 + script/get-mlperf-inference-results/_cm.json | 1 + script/get-mlperf-inference-submission-dir/_cm.json | 1 + 7 files changed, 9 insertions(+), 6 deletions(-) diff --git a/script/app-mlperf-inference/_cm.yaml b/script/app-mlperf-inference/_cm.yaml index 087a89fcba..f8c3430ec2 100644 --- a/script/app-mlperf-inference/_cm.yaml +++ b/script/app-mlperf-inference/_cm.yaml @@ -1351,8 +1351,8 @@ docker: use_host_group_id: True use_host_user_id: True deps: - - tags: get,mlperf,inference,results,dir - - tags: get,mlperf,inference,submission,dir + - tags: get,mlperf,inference,results,dir,local + - tags: get,mlperf,inference,submission,dir,local pre_run_cmds: #- cm pull repo && cm run script --tags=get,git,repo,_repo.https://github.com/GATEOverflow/inference_results_v4.0.git --update - cm pull repo diff --git a/script/build-mlperf-inference-server-nvidia/_cm.yaml b/script/build-mlperf-inference-server-nvidia/_cm.yaml index fc2f2c755f..dd13fe5690 100644 --- a/script/build-mlperf-inference-server-nvidia/_cm.yaml +++ b/script/build-mlperf-inference-server-nvidia/_cm.yaml @@ -279,8 +279,8 @@ docker: scratch_path: MLPERF_SCRATCH_PATH deps: - tags: get,mlperf,inference,nvidia,scratch,space - - tags: get,mlperf,inference,results,dir - - tags: get,mlperf,inference,submission,dir + - tags: get,mlperf,inference,results,dir,local + - tags: get,mlperf,inference,submission,dir,local - tags: get,nvidia-docker skip_if_env: CM_SKIP_GET_NVIDIA_DOCKER: diff --git a/script/generate-mlperf-inference-submission/_cm.json b/script/generate-mlperf-inference-submission/_cm.json index 0db08b54ce..3827af24a4 100644 --- a/script/generate-mlperf-inference-submission/_cm.json +++ b/script/generate-mlperf-inference-submission/_cm.json @@ -28,7 +28,7 @@ "tags": "get,mlperf,inference,utils" }, { - "tags": "get,mlperf,results,dir", + "tags": "get,mlperf,results,dir,local", "names": [ "get-mlperf-results-dir" ], diff --git a/script/generate-mlperf-inference-user-conf/_cm.yaml b/script/generate-mlperf-inference-user-conf/_cm.yaml index 36f591df4a..34960420a9 100644 --- a/script/generate-mlperf-inference-user-conf/_cm.yaml +++ b/script/generate-mlperf-inference-user-conf/_cm.yaml @@ -73,7 +73,7 @@ deps: - python - python3 - - tags: get,mlperf,results,dir + - tags: get,mlperf,results,dir,local names: - get-mlperf-results-dir skip_if_env: diff --git a/script/get-mlperf-inference-results-dir/_cm.json b/script/get-mlperf-inference-results-dir/_cm.json index 8017dbca8a..843d83506c 100644 --- a/script/get-mlperf-inference-results-dir/_cm.json +++ b/script/get-mlperf-inference-results-dir/_cm.json @@ -24,6 +24,7 @@ "get", "mlperf", "inference", + "local", "results", "dir", "directory" diff --git a/script/get-mlperf-inference-results/_cm.json b/script/get-mlperf-inference-results/_cm.json index f4870d57f5..34bae8885a 100644 --- a/script/get-mlperf-inference-results/_cm.json +++ b/script/get-mlperf-inference-results/_cm.json @@ -34,6 +34,7 @@ "get", "results", "inference", + "official", "inference-results", "mlcommons", "mlperf" diff --git a/script/get-mlperf-inference-submission-dir/_cm.json b/script/get-mlperf-inference-submission-dir/_cm.json index f056fd4c3c..5a39dc5b7c 100644 --- a/script/get-mlperf-inference-submission-dir/_cm.json +++ b/script/get-mlperf-inference-submission-dir/_cm.json @@ -25,6 +25,7 @@ "mlperf", "inference", "submission", + "local", "dir", "directory" ], From 9af5f7e30cdf455cd8d54be402c2df24e31367f7 Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Wed, 3 Jul 2024 18:48:49 +0530 Subject: [PATCH 20/93] fixed typo --- script/app-mlperf-inference-nvidia/_cm.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 035ac4d89f..7459c30f21 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -443,7 +443,7 @@ variations: - nvidia-ammo version: 0.7.4 env: - CM_GENERIC_PYTHON_PIP_INDEX_URL: "https://pypi.nvidia.com" + CM_GENERIC_PYTHON_PIP_EXTRA_INDEX_URL: "https://pypi.nvidia.com" CM_GENERIC_PYTHON_PIP_EXTRA: "--no-cache-dir" - tags: get,generic-python-lib,_package.optimum names: From 30123f0352a1d04417a361d8db05c42c35cc2ca0 Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Thu, 4 Jul 2024 15:34:24 +0530 Subject: [PATCH 21/93] Updation for quantisation of llama2 --- script/get-ml-model-llama2/_cm.json | 78 ++++++++++++++++++++++++ script/get-ml-model-llama2/customize.py | 15 +++-- script/get-ml-model-llama2/run-nvidia.sh | 23 +++++++ 3 files changed, 111 insertions(+), 5 deletions(-) create mode 100644 script/get-ml-model-llama2/run-nvidia.sh diff --git a/script/get-ml-model-llama2/_cm.json b/script/get-ml-model-llama2/_cm.json index 3fc4381b97..b4fe811679 100644 --- a/script/get-ml-model-llama2/_cm.json +++ b/script/get-ml-model-llama2/_cm.json @@ -98,6 +98,84 @@ }, "group": "precision" }, + "generic": { + "env":{ + "CM_NVIDIA_TP_SIZE": 2 + }, + "group": "gpu" + }, + "L40s": { + "env":{ + "CM_NVIDIA_TP_SIZE": 4 + }, + "group": "gpu" + }, + "fp8": { + "default": true, + "env": { + "CM_ML_MODEL_INPUT_DATA_TYPES": "fp8", + "CM_ML_MODEL_PRECISION": "fp8", + "CM_ML_MODEL_WEIGHT_DATA_TYPES": "fp8" + }, + "group": "precision" + }, + "nvidia": { + "default_variations": { + "framework": "pytorch" + }, + "group": "model-provider", + "env": { + "CM_TMP_ML_MODEL_PROVIDER": "nvidia" + } + }, + "pytorch,nvidia": { + "default_variations": { + "precision": "fp8", + "gpu": "generic" + }, + "deps": [ + { + "tags": "get,git,repo,_repo.https://github.com/NVIDIA/TensorRT-LLM.git,_sha.0ab9d17a59c284d2de36889832fe9fc7c8697604", + "extra_cache_tags": "tensorrt-llm", + "env": { + "CM_GIT_CHECKOUT_PATH_ENV_NAME": "CM_TENSORRT_LLM_CHECKOUT_PATH" + } + }, + { + "tags": "get,cuda", + "names": [ + "cuda" + ] + }, + { + "tags": "get,nvidia,scratch,space" + }, + { + "tags": "get,cuda-devices" + }, + { + "tags": "get,ml-model,gpt-j,_fp32,_pytorch", + "env": { + }, + "force_new_env_keys": [ + "LLAMA2_CHECKPOINT_PATH" + ] + }, + { + "tags": "get,nvidia,inference,common-code", + "names": [ + "nvidia-inference-common-code" + ] + }, + { + "tags": "get,python3", + "names": [ + "python", + "python3" + ] + } + ] + }, "int8": { "env": { "CM_ML_MODEL_INPUT_DATA_TYPES": "int8", diff --git a/script/get-ml-model-llama2/customize.py b/script/get-ml-model-llama2/customize.py index 70a8974712..b140fc3226 100644 --- a/script/get-ml-model-llama2/customize.py +++ b/script/get-ml-model-llama2/customize.py @@ -6,17 +6,22 @@ def preprocess(i): os_info = i['os_info'] env = i['env'] - path = env.get('LLAMA2_CHECKPOINT_PATH', '').strip() + if env.get('CM_TMP_ML_MODEL_PROVIDER', '') == 'nvidia': + i['run_script_input']['script_name'] = 'run-nvidia' + gpu_arch = int(float(env['CM_CUDA_DEVICE_PROP_GPU_COMPUTE_CAPABILITY']) * 10) + env['CM_GPU_ARCH'] = gpu_arch + env['CM_TMP_REQUIRE_DOWNLOAD'] = 'no' + else: + path = env.get('LLAMA2_CHECKPOINT_PATH', '').strip() - if path == '' or not os.path.exists(path): - env['CM_TMP_REQUIRE_DOWNLOAD'] = 'yes' + if path == '' or not os.path.exists(path): + env['CM_TMP_REQUIRE_DOWNLOAD'] = 'yes' - return {'return':0} + return {'return':0} def postprocess(i): env = i['env'] - if env.get('LLAMA2_CHECKPOINT_PATH', '' ) == '': env['LLAMA2_CHECKPOINT_PATH'] = env['CM_ML_MODEL_PATH'] diff --git a/script/get-ml-model-llama2/run-nvidia.sh b/script/get-ml-model-llama2/run-nvidia.sh new file mode 100644 index 0000000000..c3f043d86f --- /dev/null +++ b/script/get-ml-model-llama2/run-nvidia.sh @@ -0,0 +1,23 @@ +#!/bin/bash + +if [[ ! -e ${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/Llama2/Llama-2-70b-chat-hf ]]; then + mkdir -p ${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/Llama2/Llama-2-70b-chat-hf + ln -sf ${LLAMA2_CHECKPOINT_PATH} ${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/Llama2/Llama-2-70b-chat-hf + test $? -eq 0 || exit $? +fi + +echo "cd ${CM_TENSORRT_LLM_CHECKOUT_PATH}" +cd ${CM_TENSORRT_LLM_CHECKOUT_PATH} + +make -C docker build +test $? -eq 0 || exit $? + +RUN_CMD="bash -c 'python3 scripts/build_wheel.py -a=${CM_GPU_ARCH} --clean --install --trt_root /usr/local/tensorrt/ && python examples/quantization/quantize.py --dtype=float16 --output_dir=/mnt/models/Llama2/fp8-quantized-ammo/llama2-70b-tp2pp1-fp8 --model_dir=/mnt/models/Llama2/Llama-2-70b-chat-hf --qformat=fp8 --kv_cache_dtype=fp8 --tp_size ${CM_TMP_ML_MODEL_PROVIDER}'" +DOCKER_RUN_ARGS=" -v ${CM_NVIDIA_MLPERF_SCRATCH_PATH}:/mnt" +export DOCKER_RUN_ARGS="$DOCKER_RUN_ARGS" +export RUN_CMD="$RUN_CMD" +make -C docker run LOCAL_USER=1 +test $? -eq 0 || exit $? + +${CM_PYTHON_BIN_WITH_PATH} ${CM_MLPERF_INFERENCE_NVIDIA_CODE_PATH}/code/gptj/tensorrt/onnx_tune.py --fp8-scalers-path=${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/GPTJ-6B/fp8-quantized-ammo/GPTJ-FP8-quantized/rank0.safetensors --scaler 1.005 --index 15 +test $? -eq 0 || exit $? From 59c902c10fcaf4f9c917f85512831eecc4a45ca4 Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Thu, 4 Jul 2024 16:37:13 +0530 Subject: [PATCH 22/93] added input mapping for llama2 openorca --- script/app-mlperf-inference/_cm.yaml | 9 +++++++++ script/run-mlperf-inference-app/_cm.yaml | 1 + 2 files changed, 10 insertions(+) diff --git a/script/app-mlperf-inference/_cm.yaml b/script/app-mlperf-inference/_cm.yaml index f8c3430ec2..81aaf83d38 100644 --- a/script/app-mlperf-inference/_cm.yaml +++ b/script/app-mlperf-inference/_cm.yaml @@ -61,6 +61,7 @@ input_mapping: readme: CM_MLPERF_README debug: CM_DEBUG_SCRIPT_BENCHMARK_PROGRAM gpu_name: CM_NVIDIA_GPU_NAME + nvidia_llama2_dataset_target: CM_NVIDIA_LLAMA_DATASET_PATH # Duplicate CM environment variables to the ones used in native apps env_key_mappings: @@ -254,6 +255,13 @@ variations: - tags: get,ml-model,gptj,_nvidia,_fp8 env: BUILD_TRTLLM: 1 + + nvidia-original,r4.1_default,llama2-70b_: + docker: + deps: + - tags: get,ml-model,llama2-70b,_nvidia,_fp8 + env: + BUILD_TRTLLM: 1 nvidia-original: docker: @@ -1379,3 +1387,4 @@ docker: submission_dir: SUBMISSION_DIR dlrm_data_path: DLRM_DATA_PATH intel_gptj_int8_model_path: CM_MLPERF_INFERENCE_INTEL_GPTJ_INT8_MODEL_PATH + nvidia_llama2_dataset_target: CM_NVIDIA_LLAMA_DATASET_PATH \ No newline at end of file diff --git a/script/run-mlperf-inference-app/_cm.yaml b/script/run-mlperf-inference-app/_cm.yaml index 72762501d6..c776bc96c3 100644 --- a/script/run-mlperf-inference-app/_cm.yaml +++ b/script/run-mlperf-inference-app/_cm.yaml @@ -94,6 +94,7 @@ input_mapping: threads: CM_NUM_THREADS batch_size: CM_MLPERF_LOADGEN_MAX_BATCHSIZE sut: CM_MLPERF_INFERENCE_SUT_VARIATION + nvidia_llama2_dataset_target: CM_NVIDIA_LLAMA_DATASET_PATH new_state_keys: - app_mlperf_inference_* From e9aa6a9129b8dc5942b40d5de5744a1d04157d4e Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Thu, 4 Jul 2024 16:42:21 +0530 Subject: [PATCH 23/93] open-orca path now passed as input parameter --- script/app-mlperf-inference-nvidia/_cm.yaml | 17 +---------------- 1 file changed, 1 insertion(+), 16 deletions(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 7459c30f21..c1a8d58e1f 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -235,22 +235,7 @@ deps: - retinanet names: - openimages-calibration - tags: get,dataset,original,openimages,_calibration - - - ######################################################################## - # Install openorca dataset - - - enable_if_env: - CM_MODEL: - - gptj-99 - - gptj-99.9 - CM_MLPERF_NVIDIA_HARNESS_RUN_MODE: - - preprocess_dataset - names: - - openorca-original - tags: get,dataset,original,openorca - + tags: get,dataset,original,openimages,_calibration ######################################################################## # Install MLPerf inference dependencies From 62f97eed10a64cd18c68025f3ed7f918bb084282 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Thu, 4 Jul 2024 17:55:24 +0530 Subject: [PATCH 24/93] Added dlrm_data_path input --- script/app-mlperf-inference-nvidia/_cm.yaml | 2 +- script/run-mlperf-inference-app/_cm.yaml | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 7459c30f21..146e2c953d 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -163,7 +163,7 @@ deps: - dlrm-v2-99.9 skip_if_env: DLRM_DATA_PATH: - - on + - 'on' names: - criteo-preprocessed tags: get,dataset,preprocessed,criteo diff --git a/script/run-mlperf-inference-app/_cm.yaml b/script/run-mlperf-inference-app/_cm.yaml index 72762501d6..1f524d706e 100644 --- a/script/run-mlperf-inference-app/_cm.yaml +++ b/script/run-mlperf-inference-app/_cm.yaml @@ -37,6 +37,7 @@ default_env: input_mapping: backend: CM_MLPERF_BACKEND + batch_size: CM_MLPERF_LOADGEN_MAX_BATCHSIZE beam_size: GPTJ_BEAM_SIZE category: CM_MLPERF_SUBMISSION_SYSTEM_TYPE clean: CM_MLPERF_CLEAN_ALL @@ -46,6 +47,7 @@ input_mapping: debug: CM_DEBUG_SCRIPT_BENCHMARK_PROGRAM device: CM_MLPERF_DEVICE division: CM_MLPERF_SUBMISSION_DIVISION + dlrm_data_path: DLRM_DATA_PATH docker: CM_MLPERF_USE_DOCKER dump_version_info: CM_DUMP_VERSION_INFO save_console_log: CM_SAVE_CONSOLE_LOG @@ -92,7 +94,6 @@ input_mapping: target_qps: CM_MLPERF_LOADGEN_TARGET_QPS test_query_count: CM_TEST_QUERY_COUNT threads: CM_NUM_THREADS - batch_size: CM_MLPERF_LOADGEN_MAX_BATCHSIZE sut: CM_MLPERF_INFERENCE_SUT_VARIATION new_state_keys: From cf40fa3c820c28f99bdd5b80a89caa068d64b78f Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Thu, 4 Jul 2024 19:06:22 +0530 Subject: [PATCH 25/93] Updation for llama2 nvidia --- script/app-mlperf-inference-nvidia/_cm.yaml | 56 +++++++++++++++++++ .../app-mlperf-inference-nvidia/customize.py | 22 +++++++- 2 files changed, 77 insertions(+), 1 deletion(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index c1a8d58e1f..2186d6824f 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -558,6 +558,58 @@ variations: CM_ML_MODEL_INPUTS_DATA_TYPE: fp32 CM_ML_MODEL_WEIGHTS_DATA_TYPE: fp16 +llama2_70b_: + deps: + - tags: get,generic-python-lib,_package.transformers + names: + - transformers + - tags: get,generic-python-lib,_package.datasets + names: + - datasets + - tags: get,generic-python-lib,_package.sentencepiece + names: + - sentencepiece + - tags: get,generic-python-lib,_package.protobuf + names: + - protobuf + - tags: get,generic-python-lib,_package.accelerate + names: + - accelerate + - tags: get,generic-python-lib,_package.absl-py + names: + - absl-py + - tags: get,generic-python-lib,_package.evaluate + names: + - evaluate + - tags: get,generic-python-lib,_package.nltk + names: + - nltk + - tags: get,generic-python-lib,_package.numpy + names: + - numpy + - tags: get,generic-python-lib,_package.rouge-score + names: + - rouge-score + env: + CM_ML_MODEL_STARTING_WEIGHTS_FILENAME: "https://github.com/mlcommons/cm4mlops/blob/b18ff890ff559e21d2e27a3b54cd26467ac1fd9e/script/get-ml-model-llama2/_cm.json#L51" + CM_ML_MODEL_INPUTS_DATA_TYPE: int32 + CM_ML_MODEL_WEIGHTS_DATA_TYPE: fp16 + CM_ML_MODEL_WEIGHT_TRANSFORMATIONS: quantization, affine fusion + +llama2_70b-99: + group: model + base: + - llama2_70b_ + env: + CM_MODEL: llama2_70b-99 + +llama2_70b-99.9: + group: model + base: + - llama2_70b_ + env: + CM_MODEL: llama2_70b-99.9 + gptj_: deps: - tags: get,generic-python-lib,_package.datasets @@ -985,6 +1037,10 @@ variations: CM_MLPERF_NVIDIA_HARNESS_NUM_SORT_SEGMENTS: '2' CM_MLPERF_NVIDIA_HARNESS_SKIP_POSTPROCESS: True + gpu_memory.80,num-gpus.2,llama2-70b,offline,run_harness: + default_variations: + batch-size: batch_size.896 + gpu_memory.16,gptj_,offline,run_harness: default_variations: batch-size: batch_size.4 diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py index 2e7ae2b6f7..1e79881158 100644 --- a/script/app-mlperf-inference-nvidia/customize.py +++ b/script/app-mlperf-inference-nvidia/customize.py @@ -186,6 +186,19 @@ def preprocess(i): model_name = "gptj" model_path = fp8_model_path + + elif "llama2-70b" in env["CM_MODEL"]: + target_data_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'open_orca', 'open_orca_gpt4_tokenized_llama.sampled_24576.pkl') + if not os.path.exists(target_data_path): + if env.get('CM_NVIDIA_LLAMA_DATASET_PATH', '') == '': + return {'return': 1, 'error': 'Please specify the path to LLAMA2 dataset (pickle file)'} + cmds.append(f"ln -sf {env['CM_NVIDIA_LLAMA_DATASET_PATH']} {target_data_path}") + + + + model_name = "llama2-70b" + model_path = fp8_model_path + #cmds.append(f"make prebuild") if make_command == "download_model": if not os.path.exists(model_path): @@ -204,7 +217,14 @@ def preprocess(i): if env['CM_MODEL'] == "rnnt": cmds.append(f"rm -rf {os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'rnnt_dev_clean_500_raw')}") cmds.append(f"rm -rf {os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'rnnt_train_clean_512_wav')}") - cmds.append(f"make preprocess_data BENCHMARKS='{model_name}'") + if "llama2-70b" in env["CM_MODEL"]: + # Preprocessing script in the inference results repo is not checking whether the preprocessed + # file is already there, so we are handling it here. + target_preprocessed_data_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'open_orca', 'input_ids_padded.npy') + if not os.path.exists(target_preprocessed_data_path): + cmds.append("BENCHMARKS=llama2 make preprocess_data") + else: + cmds.append(f"make preprocess_data BENCHMARKS='{model_name}'") else: scenario=env['CM_MLPERF_LOADGEN_SCENARIO'].lower() From 0d1f62557e1f442346b1f4bf2720c3ec9527aaa7 Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Thu, 4 Jul 2024 19:11:54 +0530 Subject: [PATCH 26/93] fixed wrong model name --- script/get-ml-model-llama2/_cm.json | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/script/get-ml-model-llama2/_cm.json b/script/get-ml-model-llama2/_cm.json index b4fe811679..acd0e2fce3 100644 --- a/script/get-ml-model-llama2/_cm.json +++ b/script/get-ml-model-llama2/_cm.json @@ -119,6 +119,13 @@ }, "group": "precision" }, + "pytorch": { + "default": true, + "env": { + "CM_ML_MODEL_FRAMEWORK": "pytorch" + }, + "group": "framework" + }, "nvidia": { "default_variations": { "framework": "pytorch" @@ -154,7 +161,7 @@ "tags": "get,cuda-devices" }, { - "tags": "get,ml-model,gpt-j,_fp32,_pytorch", + "tags": "get,ml-model,llama2-70b,_fp32_pytorch", "env": { }, "force_new_env_keys": [ @@ -184,13 +191,6 @@ }, "group": "precision" }, - "pytorch": { - "default": true, - "env": { - "CM_ML_MODEL_FRAMEWORK": "pytorch" - }, - "group": "framework" - }, "pytorch,fp32": { "env": {} }, From c2ada5d1192e5e921a2fae68fbb19f30feaafb17 Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Thu, 4 Jul 2024 19:15:19 +0530 Subject: [PATCH 27/93] fixed intendation errors --- script/app-mlperf-inference-nvidia/_cm.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 2186d6824f..babe88a75c 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -558,7 +558,7 @@ variations: CM_ML_MODEL_INPUTS_DATA_TYPE: fp32 CM_ML_MODEL_WEIGHTS_DATA_TYPE: fp16 -llama2_70b_: + llama2_70b_: deps: - tags: get,generic-python-lib,_package.transformers names: @@ -596,14 +596,14 @@ llama2_70b_: CM_ML_MODEL_WEIGHTS_DATA_TYPE: fp16 CM_ML_MODEL_WEIGHT_TRANSFORMATIONS: quantization, affine fusion -llama2_70b-99: + llama2_70b-99: group: model base: - llama2_70b_ env: CM_MODEL: llama2_70b-99 -llama2_70b-99.9: + llama2_70b-99.9: group: model base: - llama2_70b_ From 3c43a66d773613bf6bd5a3de0d3af85d7bbc7c8c Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Thu, 4 Jul 2024 19:24:28 +0530 Subject: [PATCH 28/93] Added install failure check for install-cuda --- script/install-cuda-prebuilt/run.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/script/install-cuda-prebuilt/run.sh b/script/install-cuda-prebuilt/run.sh index 87170aa400..88ad70407d 100644 --- a/script/install-cuda-prebuilt/run.sh +++ b/script/install-cuda-prebuilt/run.sh @@ -7,4 +7,4 @@ INSTALL_DIR=${CUR}/install cmd="${CM_SUDO} bash ${CM_CUDA_RUN_FILE_PATH} --toolkitpath=${INSTALL_DIR} --defaultroot=${INSTALL_DIR} --toolkit ${CUDA_ADDITIONAL_INSTALL_OPTIONS} --silent --override" echo "${cmd}" eval "${cmd}" - +test $? -eq 0 || exit $? From eb03edede197c6cc4d69199cef007f707dd0d2fc Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Thu, 4 Jul 2024 19:52:41 +0530 Subject: [PATCH 29/93] fixed typos --- script/app-mlperf-inference-nvidia/_cm.yaml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index babe88a75c..c1d359359e 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -558,7 +558,7 @@ variations: CM_ML_MODEL_INPUTS_DATA_TYPE: fp32 CM_ML_MODEL_WEIGHTS_DATA_TYPE: fp16 - llama2_70b_: + llama2-70b_: deps: - tags: get,generic-python-lib,_package.transformers names: @@ -596,19 +596,19 @@ variations: CM_ML_MODEL_WEIGHTS_DATA_TYPE: fp16 CM_ML_MODEL_WEIGHT_TRANSFORMATIONS: quantization, affine fusion - llama2_70b-99: + llama2-70b-99: group: model base: - - llama2_70b_ + - llama2-70b_ env: - CM_MODEL: llama2_70b-99 + CM_MODEL: llama2-70b-99 - llama2_70b-99.9: + llama2-70b-99.9: group: model base: - - llama2_70b_ + - llama2-70b_ env: - CM_MODEL: llama2_70b-99.9 + CM_MODEL: llama2-70b-99.9 gptj_: deps: From 69899a70ddb1cced04d6d2885c7c8b10adc966b6 Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Thu, 4 Jul 2024 20:02:08 +0530 Subject: [PATCH 30/93] fixed selection of multiple default variations --- script/get-ml-model-llama2/_cm.json | 1 - 1 file changed, 1 deletion(-) diff --git a/script/get-ml-model-llama2/_cm.json b/script/get-ml-model-llama2/_cm.json index acd0e2fce3..96c9bf81c7 100644 --- a/script/get-ml-model-llama2/_cm.json +++ b/script/get-ml-model-llama2/_cm.json @@ -111,7 +111,6 @@ "group": "gpu" }, "fp8": { - "default": true, "env": { "CM_ML_MODEL_INPUT_DATA_TYPES": "fp8", "CM_ML_MODEL_PRECISION": "fp8", From 780ef75f72f1fdb6c79a22c8eaa8fded473e3bc2 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Thu, 4 Jul 2024 20:26:06 +0530 Subject: [PATCH 31/93] Support partial embedding of weights on GPUs for generic GPUs --- script/app-mlperf-inference-nvidia/_cm.yaml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 146e2c953d..2c6cd03ba8 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -1222,10 +1222,14 @@ variations: gpu_memory.40,dlrm_,offline,run_harness: default_variations: batch-size: batch_size.1400 + env: + CM_MLPERF_NVIDIA_HARNESS_EMBEDDING_WEIGHTS_ON_GPU_PART: "0.40" gpu_memory.24,dlrm_,offline,run_harness: default_variations: batch-size: batch_size.1400 + env: + CM_MLPERF_NVIDIA_HARNESS_EMBEDDING_WEIGHTS_ON_GPU_PART: "0.30" gpu_memory.32,dlrm_,offline,run_harness: default_variations: @@ -1234,6 +1238,8 @@ variations: gpu_memory.48,dlrm_,offline,run_harness: default_variations: batch-size: batch_size.1400 + env: + CM_MLPERF_NVIDIA_HARNESS_EMBEDDING_WEIGHTS_ON_GPU_PART: "0.50" gpu_memory.80,dlrm_,offline,run_harness: default_variations: From 503b32c446fe0e1874c1be5aea524c6a1b3a63ae Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Fri, 5 Jul 2024 02:25:30 +0530 Subject: [PATCH 32/93] Fixes to dlrmv2 accuracy processing --- script/get-dlrm-data-mlperf-inference/_cm.yaml | 3 +++ script/get-dlrm-data-mlperf-inference/customize.py | 3 +++ script/process-mlperf-accuracy/_cm.json | 2 +- script/process-mlperf-accuracy/customize.py | 7 ++++++- 4 files changed, 13 insertions(+), 2 deletions(-) diff --git a/script/get-dlrm-data-mlperf-inference/_cm.yaml b/script/get-dlrm-data-mlperf-inference/_cm.yaml index 1f0918cc98..e0a7443315 100644 --- a/script/get-dlrm-data-mlperf-inference/_cm.yaml +++ b/script/get-dlrm-data-mlperf-inference/_cm.yaml @@ -15,6 +15,9 @@ input_mapping: dlrm_data_path: CM_DLRM_DATA_PATH variations: nvidia: + new_env_keys: + - CM_DLRM_V2_DAY23_FILE_PATH + - CM_DLRM_V2_AGGREGATION_TRACE_FILE_PATH env: CM_DLRM_DATA_VARIATION: nvidia intel: diff --git a/script/get-dlrm-data-mlperf-inference/customize.py b/script/get-dlrm-data-mlperf-inference/customize.py index d26e2b195a..95eb4c3b65 100644 --- a/script/get-dlrm-data-mlperf-inference/customize.py +++ b/script/get-dlrm-data-mlperf-inference/customize.py @@ -58,6 +58,9 @@ def preprocess(i): file_path = os.path.join(dlrm_data_path, "criteo", "day23", "fp32", "day_23_labels.npy") run_cmd += xsep + ("echo {} {} | md5sum -c").format('dd68f93301812026ed6f58dfb0757fa7', file_path) + env['CM_DLRM_V2_DAY23_FILE_PATH'] = os.path.join(dlrm_data_path, "criteo", "day23", "raw_data") + env['CM_DLRM_V2_AGGREGATION_TRACE_FILE_PATH'] = dlrm_data_path, "criteo", "day23", "sample_partition.txt") + env['CM_RUN_CMD'] = run_cmd return {'return':0} diff --git a/script/process-mlperf-accuracy/_cm.json b/script/process-mlperf-accuracy/_cm.json index 2cc6631a77..3eff78ae45 100644 --- a/script/process-mlperf-accuracy/_cm.json +++ b/script/process-mlperf-accuracy/_cm.json @@ -307,7 +307,7 @@ } ], "env": { - "CM_DATASET": "squad" + "CM_DATASET": "terabyte" }, "group": "dataset" }, diff --git a/script/process-mlperf-accuracy/customize.py b/script/process-mlperf-accuracy/customize.py index 1dd68becac..474765a4d7 100644 --- a/script/process-mlperf-accuracy/customize.py +++ b/script/process-mlperf-accuracy/customize.py @@ -111,9 +111,14 @@ def preprocess(i): "' --output_dtype " + env['CM_ACCURACY_DTYPE'] +" > '" + out_file + "'" elif dataset == "terabyte": + extra_options = "" + if env.get('CM_DLRM_V2_AGGREGATION_TRACE_FILE_PATH', '') != '': + extra_options += f" --aggregation-trace-file {env['CM_DLRM_V2_AGGREGATION_TRACE_FILE_PATH']} " + if env.get('CM_DLRM_V2_DAY23_FILE_PATH', '') != '': + extra_options += f" --day-23-file {env['CM_DLRM_V2_DAY23_FILE_PATH']} " CMD = env['CM_PYTHON_BIN_WITH_PATH'] + " '" + os.path.join(env['CM_MLPERF_INFERENCE_DLRM_PATH'], "tools", "accuracy-dlrm.py") + "' --mlperf-accuracy-file '" + os.path.join(result_dir, - "mlperf_log_accuracy.json") + \ + "mlperf_log_accuracy.json") + extra_options + \ "' --dtype " + env.get('CM_ACCURACY_DTYPE', "float32") + " > '" + out_file + "'" else: From 8d3626c941dc00ed992b15e4a8e09b8b5e307482 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Fri, 5 Jul 2024 02:26:16 +0530 Subject: [PATCH 33/93] Fixes to dlrmv2 accuracy processing --- script/process-mlperf-accuracy/customize.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/script/process-mlperf-accuracy/customize.py b/script/process-mlperf-accuracy/customize.py index 474765a4d7..7b4e24ad1b 100644 --- a/script/process-mlperf-accuracy/customize.py +++ b/script/process-mlperf-accuracy/customize.py @@ -116,7 +116,7 @@ def preprocess(i): extra_options += f" --aggregation-trace-file {env['CM_DLRM_V2_AGGREGATION_TRACE_FILE_PATH']} " if env.get('CM_DLRM_V2_DAY23_FILE_PATH', '') != '': extra_options += f" --day-23-file {env['CM_DLRM_V2_DAY23_FILE_PATH']} " - CMD = env['CM_PYTHON_BIN_WITH_PATH'] + " '" + os.path.join(env['CM_MLPERF_INFERENCE_DLRM_PATH'], "tools", + CMD = env['CM_PYTHON_BIN_WITH_PATH'] + " '" + os.path.join(env['CM_MLPERF_INFERENCE_DLRM_V2_PATH'], "pytorch", "tools", "accuracy-dlrm.py") + "' --mlperf-accuracy-file '" + os.path.join(result_dir, "mlperf_log_accuracy.json") + extra_options + \ "' --dtype " + env.get('CM_ACCURACY_DTYPE', "float32") + " > '" + out_file + "'" From eda4d7da51bcfce5d2161c734ecd34a2c4ba1218 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Fri, 5 Jul 2024 02:27:09 +0530 Subject: [PATCH 34/93] Fixes to dlrmv2 accuracy processing --- script/get-dlrm-data-mlperf-inference/customize.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/script/get-dlrm-data-mlperf-inference/customize.py b/script/get-dlrm-data-mlperf-inference/customize.py index 95eb4c3b65..40f5e1ce86 100644 --- a/script/get-dlrm-data-mlperf-inference/customize.py +++ b/script/get-dlrm-data-mlperf-inference/customize.py @@ -59,7 +59,7 @@ def preprocess(i): run_cmd += xsep + ("echo {} {} | md5sum -c").format('dd68f93301812026ed6f58dfb0757fa7', file_path) env['CM_DLRM_V2_DAY23_FILE_PATH'] = os.path.join(dlrm_data_path, "criteo", "day23", "raw_data") - env['CM_DLRM_V2_AGGREGATION_TRACE_FILE_PATH'] = dlrm_data_path, "criteo", "day23", "sample_partition.txt") + env['CM_DLRM_V2_AGGREGATION_TRACE_FILE_PATH'] = os.path.join(dlrm_data_path, "criteo", "day23", "sample_partition.txt") env['CM_RUN_CMD'] = run_cmd From 8b7acc859fdb8d4d65ffaf05ceb6d2bae1309244 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Fri, 5 Jul 2024 02:42:34 +0530 Subject: [PATCH 35/93] Added dlrm-data deps for nvidia-mlperf-inference --- script/app-mlperf-inference-nvidia/_cm.yaml | 1 + script/get-dlrm-data-mlperf-inference/_cm.yaml | 2 ++ 2 files changed, 3 insertions(+) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 2c6cd03ba8..0f89d1ac75 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -544,6 +544,7 @@ variations: dlrm_: deps: + - tags: get,dlrm,data,mlperf,inference - tags: get,generic-python-lib,_torch - tags: get,generic-python-lib,_package.torchsnapshot - tags: get,generic-python-lib,_package.torchrec diff --git a/script/get-dlrm-data-mlperf-inference/_cm.yaml b/script/get-dlrm-data-mlperf-inference/_cm.yaml index e0a7443315..ca5213ce95 100644 --- a/script/get-dlrm-data-mlperf-inference/_cm.yaml +++ b/script/get-dlrm-data-mlperf-inference/_cm.yaml @@ -9,6 +9,8 @@ tags: - mlperf - inference uid: 34bdfcd9c8364935 +docker: + real_run: false new_env_keys: - CM_DLRM_DATA_PATH input_mapping: From bb80ca38c234dd93ab97ab876c58726c6209e827 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Fri, 5 Jul 2024 02:44:51 +0530 Subject: [PATCH 36/93] Added dlrm-data deps for nvidia-mlperf-inference --- script/get-dlrm-data-mlperf-inference/customize.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/script/get-dlrm-data-mlperf-inference/customize.py b/script/get-dlrm-data-mlperf-inference/customize.py index 40f5e1ce86..f12bdc12c4 100644 --- a/script/get-dlrm-data-mlperf-inference/customize.py +++ b/script/get-dlrm-data-mlperf-inference/customize.py @@ -7,7 +7,7 @@ def preprocess(i): env = i['env'] - dlrm_data_path = env.get('CM_DLRM_DATA_PATH', '') + dlrm_data_path = env.get('CM_DLRM_DATA_PATH', env.get('DLRM_DATA_PATH', '')) if dlrm_data_path == '' or not os.path.exists(dlrm_data_path): return {'return': 1, 'error': f'Please input a valid path as --dlrm_data_path'} meta = i['meta'] From e5b98f6ed103f8ac98afeb7bfcace1cf4c38c08f Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Fri, 5 Jul 2024 02:46:13 +0530 Subject: [PATCH 37/93] Added dlrm-data deps for nvidia-mlperf-inference --- script/app-mlperf-inference-nvidia/_cm.yaml | 2 +- script/get-dlrm-data-mlperf-inference/_cm.yaml | 3 +++ 2 files changed, 4 insertions(+), 1 deletion(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 0f89d1ac75..a1b430f06a 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -544,7 +544,7 @@ variations: dlrm_: deps: - - tags: get,dlrm,data,mlperf,inference + - tags: get,dlrm,data,mlperf,inference,_nvidia - tags: get,generic-python-lib,_torch - tags: get,generic-python-lib,_package.torchsnapshot - tags: get,generic-python-lib,_package.torchrec diff --git a/script/get-dlrm-data-mlperf-inference/_cm.yaml b/script/get-dlrm-data-mlperf-inference/_cm.yaml index ca5213ce95..1060312e65 100644 --- a/script/get-dlrm-data-mlperf-inference/_cm.yaml +++ b/script/get-dlrm-data-mlperf-inference/_cm.yaml @@ -17,11 +17,14 @@ input_mapping: dlrm_data_path: CM_DLRM_DATA_PATH variations: nvidia: + group: implementation + default: true new_env_keys: - CM_DLRM_V2_DAY23_FILE_PATH - CM_DLRM_V2_AGGREGATION_TRACE_FILE_PATH env: CM_DLRM_DATA_VARIATION: nvidia intel: + group: implementation env: CM_DLRM_DATA_VARIATION: intel From 8ce7739420ca4938199ec6db7f9389c4ee1583bc Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Fri, 5 Jul 2024 02:49:47 +0530 Subject: [PATCH 38/93] Added dlrm-data deps for nvidia-mlperf-inference --- script/get-dlrm-data-mlperf-inference/customize.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/script/get-dlrm-data-mlperf-inference/customize.py b/script/get-dlrm-data-mlperf-inference/customize.py index f12bdc12c4..04d30627c4 100644 --- a/script/get-dlrm-data-mlperf-inference/customize.py +++ b/script/get-dlrm-data-mlperf-inference/customize.py @@ -69,6 +69,6 @@ def postprocess(i): env = i['env'] - env['CM_GET_DEPENDENT_CACHED_PATH'] = env['CM_DLRM_DATA_PATH'] + env['CM_GET_DEPENDENT_CACHED_PATH'] = env.get('CM_DLRM_DATA_PATH', env['DLRM_DATA_PATH']) return {'return':0} From 3e6259c1d74fa530969d9dbf405661aef9522977 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Fri, 5 Jul 2024 02:52:00 +0530 Subject: [PATCH 39/93] Added dlrm-data deps for nvidia-mlperf-inference --- script/get-dlrm-data-mlperf-inference/_cm.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/script/get-dlrm-data-mlperf-inference/_cm.yaml b/script/get-dlrm-data-mlperf-inference/_cm.yaml index 1060312e65..9a46c31a6f 100644 --- a/script/get-dlrm-data-mlperf-inference/_cm.yaml +++ b/script/get-dlrm-data-mlperf-inference/_cm.yaml @@ -13,6 +13,7 @@ docker: real_run: false new_env_keys: - CM_DLRM_DATA_PATH + - DLRM_DATA_PATH input_mapping: dlrm_data_path: CM_DLRM_DATA_PATH variations: From db81cea981fdbe293d38518cc0bf0b7509ba66f4 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Fri, 5 Jul 2024 02:59:36 +0530 Subject: [PATCH 40/93] Added dlrm-data deps for nvidia-mlperf-inference --- script/app-mlperf-inference-nvidia/_cm.yaml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index a1b430f06a..411e5754ea 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -543,6 +543,9 @@ variations: - tags: get,generic-sys-util,_sox dlrm_: + new_env_keys: + - CM_DLRM_V2_DAY23_FILE_PATH + - CM_DLRM_V2_AGGREGATION_TRACE_FILE_PATH deps: - tags: get,dlrm,data,mlperf,inference,_nvidia - tags: get,generic-python-lib,_torch From 610108f1fd1a1ad6797cd85b1ab4316d509e120b Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Fri, 5 Jul 2024 03:02:00 +0530 Subject: [PATCH 41/93] Quote file paths for dlrm accuracy script --- script/process-mlperf-accuracy/customize.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/script/process-mlperf-accuracy/customize.py b/script/process-mlperf-accuracy/customize.py index 7b4e24ad1b..fe324c3523 100644 --- a/script/process-mlperf-accuracy/customize.py +++ b/script/process-mlperf-accuracy/customize.py @@ -113,13 +113,13 @@ def preprocess(i): elif dataset == "terabyte": extra_options = "" if env.get('CM_DLRM_V2_AGGREGATION_TRACE_FILE_PATH', '') != '': - extra_options += f" --aggregation-trace-file {env['CM_DLRM_V2_AGGREGATION_TRACE_FILE_PATH']} " + extra_options += f" --aggregation-trace-file '{env['CM_DLRM_V2_AGGREGATION_TRACE_FILE_PATH']}' " if env.get('CM_DLRM_V2_DAY23_FILE_PATH', '') != '': - extra_options += f" --day-23-file {env['CM_DLRM_V2_DAY23_FILE_PATH']} " + extra_options += f" --day-23-file '{env['CM_DLRM_V2_DAY23_FILE_PATH']}' " CMD = env['CM_PYTHON_BIN_WITH_PATH'] + " '" + os.path.join(env['CM_MLPERF_INFERENCE_DLRM_V2_PATH'], "pytorch", "tools", "accuracy-dlrm.py") + "' --mlperf-accuracy-file '" + os.path.join(result_dir, - "mlperf_log_accuracy.json") + extra_options + \ - "' --dtype " + env.get('CM_ACCURACY_DTYPE', "float32") + " > '" + out_file + "'" + "mlperf_log_accuracy.json") + "'" + extra_options + \ + " --dtype " + env.get('CM_ACCURACY_DTYPE', "float32") + " > '" + out_file + "'" else: return {'return': 1, 'error': 'Unsupported dataset'} From e2bd41b570cec7cd9446412be0bd91556f4a3794 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Fri, 5 Jul 2024 03:14:56 +0530 Subject: [PATCH 42/93] Added get,dlrm,data docker deps for nvidia --- script/app-mlperf-inference/_cm.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/script/app-mlperf-inference/_cm.yaml b/script/app-mlperf-inference/_cm.yaml index f8c3430ec2..d3af778111 100644 --- a/script/app-mlperf-inference/_cm.yaml +++ b/script/app-mlperf-inference/_cm.yaml @@ -793,6 +793,10 @@ variations: mlperf-inference-implementation: tags: _dlrm-v2-99.9 + dlrm_,nvidia: + docker: + deps: + - tags: get,dlrm,data,mlperf,inference,_nvidia mobilenet: group: model From bb73ba8fc73f3eddf1e545041b4385912bee8ee8 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Fri, 5 Jul 2024 12:47:12 +0100 Subject: [PATCH 43/93] Better passing of env keys in case of docker mounts --- automation/script/module_misc.py | 21 +++++++++++++++++---- 1 file changed, 17 insertions(+), 4 deletions(-) diff --git a/automation/script/module_misc.py b/automation/script/module_misc.py index 6fe01bf900..33079214b9 100644 --- a/automation/script/module_misc.py +++ b/automation/script/module_misc.py @@ -1827,6 +1827,7 @@ def docker(i): for c_input in input_mapping: if c_input in i: env[input_mapping[c_input]] = i[c_input] + #del(i[c_input]) # Updating environment variables from CM input based on docker_input_mapping from meta @@ -1835,11 +1836,11 @@ def docker(i): for c_input in docker_input_mapping: if c_input in i: env[docker_input_mapping[c_input]] = i[c_input] + #del(i[c_input]) container_env_string = '' # env keys corresponding to container mounts are explicitly passed to the container run cmd for index in range(len(mounts)): mount = mounts[index] - # Since windows may have 2 :, we search from the right j = mount.rfind(':') if j>0: @@ -1858,10 +1859,12 @@ def docker(i): tmp_values = re.findall(r'\${{ (.*?) }}', str(host_mount)) skip = False + host_env_key = None if tmp_values: for tmp_value in tmp_values: if tmp_value in env: - new_host_mount = get_host_path(env[tmp_value]) + host_env_key = tmp_value + new_host_mount = get_host_path(env[tmp_value]) else:# we skip those mounts mounts[index] = None skip = True @@ -1870,18 +1873,28 @@ def docker(i): tmp_values = re.findall(r'\${{ (.*?) }}', str(container_mount)) if tmp_values: for tmp_value in tmp_values: + container_env_key = tmp_value if tmp_value in env: new_container_mount, new_container_mount_env = get_container_path(env[tmp_value]) - container_env_string += " --env.{}={} ".format(tmp_value, new_container_mount_env) + container_env_key = new_container_mount_env + #container_env_string += " --env.{}={} ".format(tmp_value, new_container_mount_env) else:# we skip those mounts mounts[index] = None skip = True break + else: + container_env_key = str(container_mount) if skip: continue mounts[index] = new_host_mount+":"+new_container_mount - + if host_env_key: + container_env_string += " --env.{}={} ".format(host_env_key, container_env_key) + # check if the below lines are needed when inputs are mapped to container paths + '''for v in docker_input_mapping: + if docker_input_mapping[v] == host_env_key: + i[v] = container_env_key + ''' mounts = list(filter(lambda item: item is not None, mounts)) mount_string = "" if len(mounts)==0 else ",".join(mounts) From 33e6a2bee881767af2f152e13195762f977d2e2e Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Fri, 5 Jul 2024 21:40:07 +0530 Subject: [PATCH 44/93] Added extra options for sdxl mlperf inference accuracy script --- script/process-mlperf-accuracy/customize.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/script/process-mlperf-accuracy/customize.py b/script/process-mlperf-accuracy/customize.py index fe324c3523..c4d9025c62 100644 --- a/script/process-mlperf-accuracy/customize.py +++ b/script/process-mlperf-accuracy/customize.py @@ -89,6 +89,13 @@ def preprocess(i): elif dataset == "coco2014": env['+PYTHONPATH'] = [ os.path.join(env['CM_MLPERF_INFERENCE_SOURCE'], "text_to_image", "tools") ] + extra_options = "" + if env.get('CM_SDXL_STATISTICS_FILE_PATH', '') != '': + extra_options += f" --statistics-path '{env['CM_SDXL_STATISTICS_FILE_PATH']}' " + if env.get('CM_SDXL_COMPLIANCE_IMAGES_PATH', '') != '': + extra_options += f" --compliance-images-path '{env['CM_SDXL_COMPLIANCE_IMAGES_PATH']}' " + if env.get('CM_SDXL_ACCURACY_RUN_DEVICE', '') != '': + extra_options += f" --device '{env['CM_SDXL_ACCURACY_RUN_DEVICE']}' " #env['DATASET_ANNOTATIONS_FILE_PATH'] = env['CM_DATASET_ANNOTATIONS_FILE_PATH'] CMD = env['CM_PYTHON_BIN_WITH_PATH'] + " '" + os.path.join(env['CM_MLPERF_INFERENCE_SOURCE'], "text_to_image", "tools", "accuracy_coco.py") + "' --mlperf-accuracy-file '" + os.path.join(result_dir, "mlperf_log_accuracy.json") + \ From f6b8f5c7d8dc763fb6bf4ad5ffece1facd25eb34 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Fri, 5 Jul 2024 20:16:46 +0000 Subject: [PATCH 45/93] Intel mlperf inference dlrm v2 (WIP) --- script/app-mlperf-inference-intel/_cm.yaml | 108 ++++++++++++++++++ script/install-ipex-from-src/_cm.json | 124 +++++++++++++++++++-- script/install-ipex-from-src/run.sh | 20 +++- 3 files changed, 242 insertions(+), 10 deletions(-) diff --git a/script/app-mlperf-inference-intel/_cm.yaml b/script/app-mlperf-inference-intel/_cm.yaml index 55cbe426cf..c5bcd1377d 100644 --- a/script/app-mlperf-inference-intel/_cm.yaml +++ b/script/app-mlperf-inference-intel/_cm.yaml @@ -186,6 +186,10 @@ variations: adr: pytorch: tags: _for-intel-mlperf-inference-v3.1 + v3.1,dlrm-v2_: + adr: + pytorch: + tags: _for-intel-mlperf-inference-v3.1 v3.1,bert_: adr: pytorch: @@ -748,6 +752,110 @@ variations: CM_MODEL: gptj-99.9 CM_NOT_ML_MODEL_STARTING_WEIGHTS_FILENAME: "https://zenodo.org/record/3733910/files/model.onnx" + dlrm-v2_,pytorch: + adr: + conda-package: + tags: _name.dlrm-v2-pt + deps: + - tags: get,conda,_name.dlrm-v2-pt + - tags: get,python,_conda.dlrm-v2-pt + adr: + conda-python: + version: "3.9" + - names: + - conda-package + - mkl + tags: get,generic,conda-package,_package.mkl,_source.conda-forge + - names: + - conda-package + - mkl-include + tags: get,generic,conda-package,_package.mkl-include,_source.conda-forge + - names: + - conda-package + - llvm-openmp + tags: get,generic,conda-package,_package.llvm-openmp,_source.conda-forge + enable_if_env: + CM_MLPERF_INFERENCE_CODE_VERSION: + - v4.0 + - names: + - conda-package + - pybind11 + tags: get,generic,conda-package,_package.pybind11,_source.conda-forge + enable_if_env: + CM_MLPERF_INFERENCE_CODE_VERSION: + - v4.0 + - names: + - conda-package + - ncurses + tags: get,generic,conda-package,_package.ncurses,_source.conda-forge + - tags: install,llvm,src,_for-intel-mlperf-inference-v3.1-gptj + names: + - llvm-from-src + enable_if_env: + CM_MLPERF_INFERENCE_CODE_VERSION: + - v3.1 + - names: + - conda-package + - ncurses + tags: get,generic,conda-package,_package.ncurses,_source.conda-forge + - tags: get,generic-sys-util,_numactl + - tags: get,generic,conda-package,_package.jemalloc,_source.conda-forge + names: + - conda-package + - jemalloc + - tags: install,ipex,from.src,_for-intel-mlperf-inference-v3.1-dlrm-v2 + names: + - ipex-from-src + - tags: get,mlcommons,inference,src + names: + - inference-src + - tags: get,mlcommons,inference,loadgen,_custom-python + names: + - inference-loadgen + - tags: get,ml-model,dlrm,_pytorch + names: + - ml-model + - dlrm-v2-model + - dlrm_v2-model + - tags: get,generic-python-lib,_package.absl-py + names: + - pip-package + - absl-py + - tags: get,generic-python-lib,_package.accelerate + names: + - pip-package + - accelerate + - tags: get,generic-python-lib,_custom-python,_package.torch,_url.git+https://github.com/pytorch/pytorch.git@927dc662386af052018212c7d01309a506fc94cd + env: + "+ CXXFLAGS": + - "-Wno-nonnull" + - "-Wno-maybe-uninitialized" + - "-Wno-uninitialized" + - "-Wno-free-nonheap-object" + - tags: get,generic-python-lib,_custom-python,_package.torch + env: + CM_GENERIC_PYTHON_PIP_EXTRA_INDEX_URL: https://download.pytorch.org/whl/cpu + enable_if_env: + CM_MLPERF_INFERENCE_CODE_VERSION: + - 'v4.0a' + + + dlrm-v2-99: + group: model + base: + - dlrm-v2_ + env: + CM_MODEL: dlrm-v2-99 + CM_ML_MODEL_WEIGHTS_DATA_TYPE: int8 + CM_ML_MODEL_INPUTS_DATA_TYPE: int8 + + dlrm-v2-99.9: + group: model + base: + - dlrm-v2_ + env: + CM_MODEL: dlrm-v2-99.9 + standalone: group: network-mode default: true diff --git a/script/install-ipex-from-src/_cm.json b/script/install-ipex-from-src/_cm.json index d9f4c358f8..f0cd766169 100644 --- a/script/install-ipex-from-src/_cm.json +++ b/script/install-ipex-from-src/_cm.json @@ -149,6 +149,112 @@ "CM_USE_LLVM_FOR_IPEX": "yes" } }, + "for-intel-mlperf-inference-v3.1-dlrm-v2": { + "adr": { + "conda-package": { + "tags": "_name.dlrm-v2-pt" + }, + "pytorch": { + "tags": "_for-intel-mlperf-inference-v3.1-dlrm-v2" + } + }, + "base": [ + "branch.llm_feature_branch" + ], + "deps": [ + { + "names": [ + "conda" + ], + "tags": "get,conda,_name.dlrm-v2-pt" + }, + { + "names": [ + "conda-package", + "python3" + ], + "tags": "get,generic,conda-package,_package.python", + "version": "3.9" + }, + { + "names": [ + "conda-package", + "wheel" + ], + "tags": "get,generic,conda-package,_package.wheel,_source.conda-forge" + }, + { + "names": [ + "conda-package", + "setuptools" + ], + "version": "69.5.1", + "tags": "get,generic,conda-package,_package.setuptools,_source.conda-forge" + }, + { + "names": [ + "conda-package", + "typing-extensions" + ], + "tags": "get,generic,conda-package,_package.typing-extensions,_source.conda-forge" + }, + { + "names": [ + "conda-package", + "sympy" + ], + "tags": "get,generic,conda-package,_package.sympy,_source.conda-forge" + }, + { + "tags": "get,generic-python-lib,_package.numpy", + "names": [ + "pip-package", + "numpy" + ], + "version": "1.23.5" + }, + { + "tags": "get,generic-python-lib,_torch", + "names": [ + "pip-package", + "pip-torch" + ], + "version": "2.2" + }, + { + "tags": "get,generic-python-lib,_package.torch,_url.git+https://github.com/pytorch/pytorch.git@927dc662386af052018212c7d01309a506fc94cd", + "names": [ + "pip-package", + "torch" + ], + "enable_if_env": { + "CC": ["yes"] + }, + "env": { + "+ CXXFLAGS": [ + "-Wno-nonnull", + "-Wno-maybe-uninitialized", + "-Wno-uninitialized", + "-Wno-free-nonheap-object" + ] + } + } + ], + "env": { + "CM_CONDA_ENV": "yes", + "CM_INTEL_IPEX_DLRM_V2_PATCH": "yes", + "CM_IPEX_SKIP_PYTORCH": "yes" + } + }, + "for-intel-mlperf-inference-v3.1-resnet50": { + "alias": "for-intel-mlperf-inference-resnet50" + }, + "for-intel-mlperf-inference-v3.1-retinanet": { + "alias": "for-intel-mlperf-inference-retinanet" + }, + "for-intel-mlperf-inference-v3.1-3d-unet": { + "alias": "for-intel-mlperf-inference-3d-unet" + }, "for-intel-mlperf-inference-v3.1-resnet50": { "alias": "for-intel-mlperf-inference-resnet50" }, @@ -214,15 +320,15 @@ ], "tags": "get,generic,conda-package,_package.sympy,_source.conda-forge" }, - { - "tags": "get,cmake", - "version_max": "3.26.4" - }, - { - "tags": "get,gcc", - "version_max": "12.3", - "version_max_usable": "12.3" - } + { + "tags": "get,cmake", + "version_max": "3.26.4" + }, + { + "tags": "get,gcc", + "version_max": "12.3", + "version_max_usable": "12.3" + } ], "env": { "CM_CONDA_ENV": "yes", diff --git a/script/install-ipex-from-src/run.sh b/script/install-ipex-from-src/run.sh index b54041a89a..06b960497e 100644 --- a/script/install-ipex-from-src/run.sh +++ b/script/install-ipex-from-src/run.sh @@ -1,6 +1,9 @@ #!/bin/bash -export PATH=${CM_CONDA_BIN_PATH}:${PATH} +#export PATH=${CM_CONDA_BIN_PATH}:${PATH} +#echo $LD_LIBRARY_PATH +#exit 1 +#export LD_LIBRARY_PATH="" rm -rf ipex_src cp -r ${IPEX_DIR} ipex_src @@ -24,6 +27,21 @@ elif [[ ${CM_INTEL_IPEX_3D_UNET_PATCH} == "yes" ]]; then cd ../../ bash ${CM_TMP_CURRENT_SCRIPT_PATH}/apply_intel_3d-unet_patch.sh test "$?" -eq 0 || exit "$?" + +elif [[ ${CM_INTEL_IPEX_DLRM_V2_PATCH} == "yes" ]]; then + cd third_party/libxsmm + git checkout c21bc5ddb4 + test "$?" -eq 0 || exit "$?" + cd ../ideep && rm -rf mkl-dnn && git checkout b5eadff696 + test "$?" -eq 0 || exit "$?" + git submodule sync && git submodule update --init --recursive + test "$?" -eq 0 || exit "$?" + cd mkl-dnn + wget https://raw.githubusercontent.com/mlcommons/inference_results_v3.1/main/closed/Intel/code/dlrm-v2-99/pytorch-cpu-int8/onednngraph.patch + test "$?" -eq 0 || exit "$?" + git apply -p1 onednngraph.patch + test "$?" -eq 0 || exit "$?" + cd ../../../ fi rm -rf build From d27065086a0c68ea2ea63b6935cba1a3c51a312a Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Fri, 5 Jul 2024 21:37:20 +0000 Subject: [PATCH 46/93] Fix ipex build for intel dlrm --- script/install-ipex-from-src/_cm.json | 7 +++---- script/install-ipex-from-src/run.sh | 8 ++++++-- 2 files changed, 9 insertions(+), 6 deletions(-) diff --git a/script/install-ipex-from-src/_cm.json b/script/install-ipex-from-src/_cm.json index f0cd766169..27e8438674 100644 --- a/script/install-ipex-from-src/_cm.json +++ b/script/install-ipex-from-src/_cm.json @@ -159,7 +159,7 @@ } }, "base": [ - "branch.llm_feature_branch" + "sha.7256d0848ba81bb802dd33fca0e33049a751db58" ], "deps": [ { @@ -214,12 +214,11 @@ "version": "1.23.5" }, { - "tags": "get,generic-python-lib,_torch", + "tags": "get,generic-python-lib,_package.torch,_path.https://download.pytorch.org/whl/nightly/cpu-cxx11-abi/torch-2.1.0.dev20230715%2Bcpu.cxx11.abi-cp39-cp39-linux_x86_64.whl", "names": [ "pip-package", "pip-torch" - ], - "version": "2.2" + ] }, { "tags": "get,generic-python-lib,_package.torch,_url.git+https://github.com/pytorch/pytorch.git@927dc662386af052018212c7d01309a506fc94cd", diff --git a/script/install-ipex-from-src/run.sh b/script/install-ipex-from-src/run.sh index 06b960497e..5724553598 100644 --- a/script/install-ipex-from-src/run.sh +++ b/script/install-ipex-from-src/run.sh @@ -3,11 +3,10 @@ #export PATH=${CM_CONDA_BIN_PATH}:${PATH} #echo $LD_LIBRARY_PATH #exit 1 -#export LD_LIBRARY_PATH="" - rm -rf ipex_src cp -r ${IPEX_DIR} ipex_src cd ipex_src +pwd git submodule sync git submodule update --init --recursive @@ -29,6 +28,11 @@ elif [[ ${CM_INTEL_IPEX_3D_UNET_PATCH} == "yes" ]]; then test "$?" -eq 0 || exit "$?" elif [[ ${CM_INTEL_IPEX_DLRM_V2_PATCH} == "yes" ]]; then + export LD_LIBRARY_PATH="" + wget https://raw.githubusercontent.com/mlcommons/inference_results_v3.1/main/closed/Intel/code/dlrm-v2-99/pytorch-cpu-int8/ipex.patch + test "$?" -eq 0 || exit "$?" + git apply ipex.patch + test "$?" -eq 0 || exit "$?" cd third_party/libxsmm git checkout c21bc5ddb4 test "$?" -eq 0 || exit "$?" From ef71206fa2a7b09755b017f4e79d1fc1d712d5c8 Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Sat, 6 Jul 2024 15:36:17 +0530 Subject: [PATCH 47/93] added changes for llama2(testing) --- script/app-mlperf-inference-nvidia/customize.py | 9 +++++---- script/app-mlperf-inference/_cm.yaml | 4 ++-- script/get-ml-model-llama2/_cm.json | 2 +- script/get-ml-model-llama2/customize.py | 2 +- script/get-ml-model-llama2/run-nvidia.sh | 8 +++----- script/get-mlperf-inference-nvidia-common-code/_cm.json | 2 +- script/run-mlperf-inference-app/_cm.yaml | 2 +- script/run-mlperf-inference-app/customize.py | 1 + 8 files changed, 15 insertions(+), 15 deletions(-) diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py index 1e79881158..3896cd9f7c 100644 --- a/script/app-mlperf-inference-nvidia/customize.py +++ b/script/app-mlperf-inference-nvidia/customize.py @@ -187,12 +187,13 @@ def preprocess(i): model_name = "gptj" model_path = fp8_model_path - elif "llama2-70b" in env["CM_MODEL"]: + elif "llama2" in env["CM_MODEL"]: target_data_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'open_orca', 'open_orca_gpt4_tokenized_llama.sampled_24576.pkl') + fp8_model_path = "TO DO" if not os.path.exists(target_data_path): - if env.get('CM_NVIDIA_LLAMA_DATASET_PATH', '') == '': + if env.get('CM_NVIDIA_LLAMA_DATASET_FILE_PATH', '') == '': return {'return': 1, 'error': 'Please specify the path to LLAMA2 dataset (pickle file)'} - cmds.append(f"ln -sf {env['CM_NVIDIA_LLAMA_DATASET_PATH']} {target_data_path}") + cmds.append(f"ln -sf {env['CM_NVIDIA_LLAMA_DATASET_FILE_PATH']} {target_data_path}") @@ -217,7 +218,7 @@ def preprocess(i): if env['CM_MODEL'] == "rnnt": cmds.append(f"rm -rf {os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'rnnt_dev_clean_500_raw')}") cmds.append(f"rm -rf {os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'rnnt_train_clean_512_wav')}") - if "llama2-70b" in env["CM_MODEL"]: + if "llama2" in env["CM_MODEL"]: # Preprocessing script in the inference results repo is not checking whether the preprocessed # file is already there, so we are handling it here. target_preprocessed_data_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'open_orca', 'input_ids_padded.npy') diff --git a/script/app-mlperf-inference/_cm.yaml b/script/app-mlperf-inference/_cm.yaml index 81aaf83d38..f65eef4953 100644 --- a/script/app-mlperf-inference/_cm.yaml +++ b/script/app-mlperf-inference/_cm.yaml @@ -61,7 +61,7 @@ input_mapping: readme: CM_MLPERF_README debug: CM_DEBUG_SCRIPT_BENCHMARK_PROGRAM gpu_name: CM_NVIDIA_GPU_NAME - nvidia_llama2_dataset_target: CM_NVIDIA_LLAMA_DATASET_PATH + nvidia_llama2_datasetfile_path: CM_NVIDIA_LLAMA_DATASET_FILE_PATH # Duplicate CM environment variables to the ones used in native apps env_key_mappings: @@ -1387,4 +1387,4 @@ docker: submission_dir: SUBMISSION_DIR dlrm_data_path: DLRM_DATA_PATH intel_gptj_int8_model_path: CM_MLPERF_INFERENCE_INTEL_GPTJ_INT8_MODEL_PATH - nvidia_llama2_dataset_target: CM_NVIDIA_LLAMA_DATASET_PATH \ No newline at end of file + nvidia_llama2_datasetfile_path: CM_NVIDIA_LLAMA_DATASET_FILE_PATH diff --git a/script/get-ml-model-llama2/_cm.json b/script/get-ml-model-llama2/_cm.json index 96c9bf81c7..5efb2bffbc 100644 --- a/script/get-ml-model-llama2/_cm.json +++ b/script/get-ml-model-llama2/_cm.json @@ -160,7 +160,7 @@ "tags": "get,cuda-devices" }, { - "tags": "get,ml-model,llama2-70b,_fp32_pytorch", + "tags": "get,ml-model,llama2-70b,_fp32,_pytorch", "env": { }, "force_new_env_keys": [ diff --git a/script/get-ml-model-llama2/customize.py b/script/get-ml-model-llama2/customize.py index b140fc3226..53dc9a6aa1 100644 --- a/script/get-ml-model-llama2/customize.py +++ b/script/get-ml-model-llama2/customize.py @@ -17,7 +17,7 @@ def preprocess(i): if path == '' or not os.path.exists(path): env['CM_TMP_REQUIRE_DOWNLOAD'] = 'yes' - return {'return':0} + return {'return':0} def postprocess(i): diff --git a/script/get-ml-model-llama2/run-nvidia.sh b/script/get-ml-model-llama2/run-nvidia.sh index c3f043d86f..9342e4ba9c 100644 --- a/script/get-ml-model-llama2/run-nvidia.sh +++ b/script/get-ml-model-llama2/run-nvidia.sh @@ -2,7 +2,8 @@ if [[ ! -e ${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/Llama2/Llama-2-70b-chat-hf ]]; then mkdir -p ${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/Llama2/Llama-2-70b-chat-hf - ln -sf ${LLAMA2_CHECKPOINT_PATH} ${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/Llama2/Llama-2-70b-chat-hf + cd ${LLAMA2_CHECKPOINT_PATH} + cp -r ${LLAMA2_CHECKPOINT_PATH} ${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/Llama2/Llama-2-70b-chat-hf test $? -eq 0 || exit $? fi @@ -12,12 +13,9 @@ cd ${CM_TENSORRT_LLM_CHECKOUT_PATH} make -C docker build test $? -eq 0 || exit $? -RUN_CMD="bash -c 'python3 scripts/build_wheel.py -a=${CM_GPU_ARCH} --clean --install --trt_root /usr/local/tensorrt/ && python examples/quantization/quantize.py --dtype=float16 --output_dir=/mnt/models/Llama2/fp8-quantized-ammo/llama2-70b-tp2pp1-fp8 --model_dir=/mnt/models/Llama2/Llama-2-70b-chat-hf --qformat=fp8 --kv_cache_dtype=fp8 --tp_size ${CM_TMP_ML_MODEL_PROVIDER}'" +RUN_CMD="bash -c 'python3 scripts/build_wheel.py -a=${CM_GPU_ARCH} --clean --install --trt_root /usr/local/tensorrt/ && python examples/quantization/quantize.py --dtype=float16 --output_dir=/mnt/models/Llama2/fp8-quantized-ammo/Llama2-70b-tp${CM_NVIDIA_TP_SIZE}pp1-fp8 --model_dir=/mnt/models/Llama2/Llama-2-70b-chat-hf/repo --qformat=fp8 --kv_cache_dtype=fp8 --tp_size ${CM_NVIDIA_TP_SIZE}'" DOCKER_RUN_ARGS=" -v ${CM_NVIDIA_MLPERF_SCRATCH_PATH}:/mnt" export DOCKER_RUN_ARGS="$DOCKER_RUN_ARGS" export RUN_CMD="$RUN_CMD" make -C docker run LOCAL_USER=1 test $? -eq 0 || exit $? - -${CM_PYTHON_BIN_WITH_PATH} ${CM_MLPERF_INFERENCE_NVIDIA_CODE_PATH}/code/gptj/tensorrt/onnx_tune.py --fp8-scalers-path=${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/GPTJ-6B/fp8-quantized-ammo/GPTJ-FP8-quantized/rank0.safetensors --scaler 1.005 --index 15 -test $? -eq 0 || exit $? diff --git a/script/get-mlperf-inference-nvidia-common-code/_cm.json b/script/get-mlperf-inference-nvidia-common-code/_cm.json index 7b47209cad..d1f25926d7 100644 --- a/script/get-mlperf-inference-nvidia-common-code/_cm.json +++ b/script/get-mlperf-inference-nvidia-common-code/_cm.json @@ -11,7 +11,7 @@ "names": [ "mlperf-inference-results" ], - "tags": "get,mlperf,inference,results", + "tags": "get,mlperf,inference,results,official", "inherit_variation_tags": true } ], diff --git a/script/run-mlperf-inference-app/_cm.yaml b/script/run-mlperf-inference-app/_cm.yaml index c776bc96c3..b17e068035 100644 --- a/script/run-mlperf-inference-app/_cm.yaml +++ b/script/run-mlperf-inference-app/_cm.yaml @@ -94,7 +94,7 @@ input_mapping: threads: CM_NUM_THREADS batch_size: CM_MLPERF_LOADGEN_MAX_BATCHSIZE sut: CM_MLPERF_INFERENCE_SUT_VARIATION - nvidia_llama2_dataset_target: CM_NVIDIA_LLAMA_DATASET_PATH + nvidia_llama2_datasetfile_path: CM_NVIDIA_LLAMA_DATASET_FILE_PATH new_state_keys: - app_mlperf_inference_* diff --git a/script/run-mlperf-inference-app/customize.py b/script/run-mlperf-inference-app/customize.py index 67a60daabf..cc16f45a29 100644 --- a/script/run-mlperf-inference-app/customize.py +++ b/script/run-mlperf-inference-app/customize.py @@ -216,6 +216,7 @@ def preprocess(i): if action == "docker": for k in docker_extra_input: ii[k] = docker_extra_input[k] + print(ii) r = cm.access(ii) if r['return'] > 0: return r From 5a1d4fdd591ae985c5f66fe2be4fc3726ae45ea5 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Sat, 6 Jul 2024 10:51:05 +0000 Subject: [PATCH 48/93] Add intel mlperf inference dlrmv2 (WIP) --- script/app-mlperf-inference-intel/_cm.yaml | 38 ++++++++----------- .../calibrate_dlrm_v2_model.sh | 7 ++++ .../app-mlperf-inference-intel/customize.py | 4 +- script/install-ipex-from-src/_cm.json | 18 --------- 4 files changed, 25 insertions(+), 42 deletions(-) create mode 100644 script/app-mlperf-inference-intel/calibrate_dlrm_v2_model.sh diff --git a/script/app-mlperf-inference-intel/_cm.yaml b/script/app-mlperf-inference-intel/_cm.yaml index c5bcd1377d..7e839578a4 100644 --- a/script/app-mlperf-inference-intel/_cm.yaml +++ b/script/app-mlperf-inference-intel/_cm.yaml @@ -696,8 +696,6 @@ variations: - tags: get,mlcommons,inference,loadgen,_custom-python names: - inference-loadgen - env: - CM_PYTHON_BIN_WITH_PATH: "<<>>/python3" - tags: get,ml-model,large-language-model,gptj names: - ml-model @@ -716,7 +714,6 @@ variations: CM_MLPERF_INFERENCE_CODE_VERSION: - v3.1 env: - CM_PYTHON_BIN_WITH_PATH: "<<>>/python3" "+ CXXFLAGS": - "-Wno-nonnull" - "-Wno-maybe-uninitialized" @@ -752,6 +749,15 @@ variations: CM_MODEL: gptj-99.9 CM_NOT_ML_MODEL_STARTING_WEIGHTS_FILENAME: "https://zenodo.org/record/3733910/files/model.onnx" + dlrm-v2_,build-harness: + deps: + - tags: reproduce,mlperf,inference,intel,_calibration + inherit_variation_tags: true + force_cache: true + skip_inherit_variation_groups: + - run-mode + - loadgen-scenario + dlrm-v2_,pytorch: adr: conda-package: @@ -788,12 +794,6 @@ variations: - conda-package - ncurses tags: get,generic,conda-package,_package.ncurses,_source.conda-forge - - tags: install,llvm,src,_for-intel-mlperf-inference-v3.1-gptj - names: - - llvm-from-src - enable_if_env: - CM_MLPERF_INFERENCE_CODE_VERSION: - - v3.1 - names: - conda-package - ncurses @@ -825,20 +825,12 @@ variations: names: - pip-package - accelerate - - tags: get,generic-python-lib,_custom-python,_package.torch,_url.git+https://github.com/pytorch/pytorch.git@927dc662386af052018212c7d01309a506fc94cd - env: - "+ CXXFLAGS": - - "-Wno-nonnull" - - "-Wno-maybe-uninitialized" - - "-Wno-uninitialized" - - "-Wno-free-nonheap-object" - - tags: get,generic-python-lib,_custom-python,_package.torch - env: - CM_GENERIC_PYTHON_PIP_EXTRA_INDEX_URL: https://download.pytorch.org/whl/cpu - enable_if_env: - CM_MLPERF_INFERENCE_CODE_VERSION: - - 'v4.0a' - + - tags: get,generic-python-lib,_package.torch,_path.https://download.pytorch.org/whl/nightly/cpu-cxx11-abi/torch-2.1.0.dev20230715%2Bcpu.cxx11.abi-cp39-cp39-linux_x86_64.whl + names: + - pip-package + - pip-torch + dlrm-v2_: + env: {} dlrm-v2-99: group: model diff --git a/script/app-mlperf-inference-intel/calibrate_dlrm_v2_model.sh b/script/app-mlperf-inference-intel/calibrate_dlrm_v2_model.sh new file mode 100644 index 0000000000..233d5c857f --- /dev/null +++ b/script/app-mlperf-inference-intel/calibrate_dlrm_v2_model.sh @@ -0,0 +1,7 @@ +#!/bin/bash + +export MODEL_DIR=${CM_ML_MODEL_FILE_WITH_PATH} +echo ${CM_HARNESS_CODE_ROOT} +cd ${CM_HARNESS_CODE_ROOT} +numactl -m 1 python python/dump_torch_model.py --model-path=$MODEL_DIR --dataset-path=$DATA_DIR +exit 1 diff --git a/script/app-mlperf-inference-intel/customize.py b/script/app-mlperf-inference-intel/customize.py index 4f8c8a27ba..9a1c164745 100644 --- a/script/app-mlperf-inference-intel/customize.py +++ b/script/app-mlperf-inference-intel/customize.py @@ -65,8 +65,10 @@ def preprocess(i): if env['CM_LOCAL_MLPERF_INFERENCE_INTEL_RUN_MODE'] == "calibration": if master_model == "resnet50": i['run_script_input']['script_name'] = "prepare_imagenet_calibration" - if master_model == "3d-unet": + elif master_model == "3d-unet": i['run_script_input']['script_name'] = "prepare_3d-unet_data_model" + elif "dlrm-v2" in master_model: + i['run_script_input']['script_name'] = "calibrate_dlrm_v2_model" else: calibration_root = os.path.join(env['CM_MLPERF_INFERENCE_RESULTS_PATH'], 'closed', 'Intel', 'calibration', master_model, backend+"-"+device) diff --git a/script/install-ipex-from-src/_cm.json b/script/install-ipex-from-src/_cm.json index 27e8438674..de53756ca8 100644 --- a/script/install-ipex-from-src/_cm.json +++ b/script/install-ipex-from-src/_cm.json @@ -219,24 +219,6 @@ "pip-package", "pip-torch" ] - }, - { - "tags": "get,generic-python-lib,_package.torch,_url.git+https://github.com/pytorch/pytorch.git@927dc662386af052018212c7d01309a506fc94cd", - "names": [ - "pip-package", - "torch" - ], - "enable_if_env": { - "CC": ["yes"] - }, - "env": { - "+ CXXFLAGS": [ - "-Wno-nonnull", - "-Wno-maybe-uninitialized", - "-Wno-uninitialized", - "-Wno-free-nonheap-object" - ] - } } ], "env": { From 27127f542a47dbf1bf793d99ef1d55f400df4412 Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Sun, 7 Jul 2024 06:00:31 -0700 Subject: [PATCH 49/93] tmp commit inplace of stash --- script/app-mlperf-inference-nvidia/_cm.yaml | 1 + .../app-mlperf-inference-nvidia/customize.py | 18 +++++++++++++----- script/get-ml-model-llama2/_cm.json | 5 +++-- script/get-ml-model-llama2/run-nvidia.sh | 5 +++++ 4 files changed, 22 insertions(+), 7 deletions(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index c1d359359e..768142590d 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -560,6 +560,7 @@ variations: llama2-70b_: deps: + - tags: get,ml-model,llama2-70b,_nvidia,_fp8 - tags: get,generic-python-lib,_package.transformers names: - transformers diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py index 3896cd9f7c..19764816ce 100644 --- a/script/app-mlperf-inference-nvidia/customize.py +++ b/script/app-mlperf-inference-nvidia/customize.py @@ -188,12 +188,16 @@ def preprocess(i): model_path = fp8_model_path elif "llama2" in env["CM_MODEL"]: - target_data_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'open_orca', 'open_orca_gpt4_tokenized_llama.sampled_24576.pkl') - fp8_model_path = "TO DO" - if not os.path.exists(target_data_path): + # path to which the data file is present + target_data_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'open_orca') + # path to the dataset file + target_data_file_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'open_orca','open_orca_gpt4_tokenized_llama.sampled_24576.pkl') + fp8_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'],'models','Llama2','fp8-quantized-ammo','Llama2-70b-tp2pp1-fp8') + if not os.path.exists(target_data_file_path): if env.get('CM_NVIDIA_LLAMA_DATASET_FILE_PATH', '') == '': return {'return': 1, 'error': 'Please specify the path to LLAMA2 dataset (pickle file)'} - cmds.append(f"ln -sf {env['CM_NVIDIA_LLAMA_DATASET_FILE_PATH']} {target_data_path}") + cmds.append(f"mkdir {target_data_path}") + cmds.append(f"ln -sf {env['CM_NVIDIA_LLAMA_DATASET_FILE_PATH']} {target_data_file_path}") @@ -203,7 +207,11 @@ def preprocess(i): #cmds.append(f"make prebuild") if make_command == "download_model": if not os.path.exists(model_path): - cmds.append(f"make download_model BENCHMARKS='{model_name}'") + if "llama2" in env['CM_MODEL']: + if not os.path.exists(os.path.join(model_path, 'config.json')): + return {'return': 1, 'error': 'Quantised model absent - did not detect config.json'} + else: + cmds.append(f"make download_model BENCHMARKS='{model_name}'") elif "stable-diffusion" in env['CM_MODEL']: folders = ["clip1", "clip2", "unetxl", "vae"] for folder in folders: diff --git a/script/get-ml-model-llama2/_cm.json b/script/get-ml-model-llama2/_cm.json index 5efb2bffbc..7127be2811 100644 --- a/script/get-ml-model-llama2/_cm.json +++ b/script/get-ml-model-llama2/_cm.json @@ -16,7 +16,8 @@ }, "new_env_keys": [ "CM_ML_MODEL_*", - "LLAMA2_CHECKPOINT_PATH" + "LLAMA2_CHECKPOINT_PATH", + "CM_NVIDIA_TP_SIZE" ], "prehook_deps": [ { @@ -50,7 +51,6 @@ "variations": { "meta-llama/Llama-2-70b-chat-hf": { "group": "huggingface-stub", - "default": true, "env": { "CM_GIT_CHECKOUT_FOLDER": "Llama-2-70b-chat-hf", "CM_MODEL_ZOO_ENV_KEY": "LLAMA2" @@ -63,6 +63,7 @@ }, "meta-llama/Llama-2-7b-chat-hf": { "group": "huggingface-stub", + "default": true, "env": { "CM_GIT_CHECKOUT_FOLDER": "Llama-2-7b-chat-hf", "CM_MODEL_ZOO_ENV_KEY": "LLAMA2" diff --git a/script/get-ml-model-llama2/run-nvidia.sh b/script/get-ml-model-llama2/run-nvidia.sh index 9342e4ba9c..4067780954 100644 --- a/script/get-ml-model-llama2/run-nvidia.sh +++ b/script/get-ml-model-llama2/run-nvidia.sh @@ -1,5 +1,6 @@ #!/bin/bash +< Date: Sun, 7 Jul 2024 19:33:20 +0530 Subject: [PATCH 50/93] added checksum check for criteo multihot data --- .../checksums.txt | 26 +++++++++++++++++++ .../customize.py | 5 ++++ 2 files changed, 31 insertions(+) create mode 100644 script/get-dlrm-data-mlperf-inference/checksums.txt diff --git a/script/get-dlrm-data-mlperf-inference/checksums.txt b/script/get-dlrm-data-mlperf-inference/checksums.txt new file mode 100644 index 0000000000..86d89381da --- /dev/null +++ b/script/get-dlrm-data-mlperf-inference/checksums.txt @@ -0,0 +1,26 @@ +a435220293e8e2b4c2b70267b759cf36 ./day_23_sparse_multi_hot_unpacked/0.npy +9b383e9ca2ad6d0841346b255f390a01 ./day_23_sparse_multi_hot_unpacked/10.npy +b1ce2de05b791c1ddb36e0e573a75d93 ./day_23_sparse_multi_hot_unpacked/11.npy +e9b71259c97546df1e9c82841f9c3d03 ./day_23_sparse_multi_hot_unpacked/12.npy +4b8e79310e06168422e6aa7f1b66f6ae ./day_23_sparse_multi_hot_unpacked/13.npy +f9acdc32bd6b766358be846d34b7dd19 ./day_23_sparse_multi_hot_unpacked/14.npy +29b6319884c87eac2dc10e4670576bc5 ./day_23_sparse_multi_hot_unpacked/15.npy +c3ae2edfb9c2279ec5e10e452226f661 ./day_23_sparse_multi_hot_unpacked/16.npy +ced0a164f926f97a7501b047d3d05fad ./day_23_sparse_multi_hot_unpacked/17.npy +a0f8ef9b4a4f14fe4211c07819f2fcf1 ./day_23_sparse_multi_hot_unpacked/18.npy +0ab3a06e2b648cf574d1235d71ebb006 ./day_23_sparse_multi_hot_unpacked/19.npy +a684ab288fe2bcc76374be0b0744fa2f ./day_23_sparse_multi_hot_unpacked/1.npy +7c753b13d54ad9e3e6c5e73719622201 ./day_23_sparse_multi_hot_unpacked/20.npy +3f8626a163420fc26c35c82b5b42e7ee ./day_23_sparse_multi_hot_unpacked/21.npy +45026929433aa879157e9b4f033c75b2 ./day_23_sparse_multi_hot_unpacked/22.npy +3434833ecd8a225f3f405b812bb47944 ./day_23_sparse_multi_hot_unpacked/23.npy +cc7daf94cf81e89360f1273750b0a78a ./day_23_sparse_multi_hot_unpacked/24.npy +7bd8c842b7504c97e1078654d2e3a5c0 ./day_23_sparse_multi_hot_unpacked/25.npy +2e841abb6f8f7cd30e3e5ef5df855bf1 ./day_23_sparse_multi_hot_unpacked/2.npy +e020aa1563b8b1a411405e420b322f49 ./day_23_sparse_multi_hot_unpacked/3.npy +cabb6b0d784a9d74192ef029f53309d4 ./day_23_sparse_multi_hot_unpacked/4.npy +ef346cd1ce26c7c85b6c4c108bdafaf0 ./day_23_sparse_multi_hot_unpacked/5.npy +da0245108f14131171ac3d43418a100c ./day_23_sparse_multi_hot_unpacked/6.npy +41610d7810e5552ab5ecf0332e47a55e ./day_23_sparse_multi_hot_unpacked/7.npy +a7650873137dc3518fa06d296d47df2b ./day_23_sparse_multi_hot_unpacked/8.npy +49acd882a1b742af1743922f9409fc1e ./day_23_sparse_multi_hot_unpacked/9.npy diff --git a/script/get-dlrm-data-mlperf-inference/customize.py b/script/get-dlrm-data-mlperf-inference/customize.py index 04d30627c4..1d37991636 100644 --- a/script/get-dlrm-data-mlperf-inference/customize.py +++ b/script/get-dlrm-data-mlperf-inference/customize.py @@ -12,6 +12,8 @@ def preprocess(i): return {'return': 1, 'error': f'Please input a valid path as --dlrm_data_path'} meta = i['meta'] + script_path=i['run_script_input']['path'] + automation = i['automation'] quiet = (env.get('CM_QUIET', False) == 'yes') @@ -58,6 +60,9 @@ def preprocess(i): file_path = os.path.join(dlrm_data_path, "criteo", "day23", "fp32", "day_23_labels.npy") run_cmd += xsep + ("echo {} {} | md5sum -c").format('dd68f93301812026ed6f58dfb0757fa7', file_path) + dir_path = os.path.join(dlrm_data_path, "criteo", "day23", "fp32") + run_cmd += xsep + ("cd {}; md5sum -c {}").format(dir_path, os.path.join(script_path, "checksums.txt" )) + env['CM_DLRM_V2_DAY23_FILE_PATH'] = os.path.join(dlrm_data_path, "criteo", "day23", "raw_data") env['CM_DLRM_V2_AGGREGATION_TRACE_FILE_PATH'] = os.path.join(dlrm_data_path, "criteo", "day23", "sample_partition.txt") From 0b80cbcf1ffc65781182dedc0c073361ea8a29f8 Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Sun, 7 Jul 2024 11:27:02 -0700 Subject: [PATCH 51/93] model name corrected --- script/app-mlperf-inference-nvidia/_cm.yaml | 2 +- script/app-mlperf-inference-nvidia/customize.py | 5 +++-- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 768142590d..d73667184b 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -560,7 +560,7 @@ variations: llama2-70b_: deps: - - tags: get,ml-model,llama2-70b,_nvidia,_fp8 + #- tags: get,ml-model,llama2-70b,_nvidia,_fp8 - tags: get,generic-python-lib,_package.transformers names: - transformers diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py index 19764816ce..6364809bfa 100644 --- a/script/app-mlperf-inference-nvidia/customize.py +++ b/script/app-mlperf-inference-nvidia/customize.py @@ -196,7 +196,8 @@ def preprocess(i): if not os.path.exists(target_data_file_path): if env.get('CM_NVIDIA_LLAMA_DATASET_FILE_PATH', '') == '': return {'return': 1, 'error': 'Please specify the path to LLAMA2 dataset (pickle file)'} - cmds.append(f"mkdir {target_data_path}") + if not os.path.exists(target_data_path): + cmds.append(f"mkdir {target_data_path}") cmds.append(f"ln -sf {env['CM_NVIDIA_LLAMA_DATASET_FILE_PATH']} {target_data_file_path}") @@ -231,7 +232,7 @@ def preprocess(i): # file is already there, so we are handling it here. target_preprocessed_data_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'open_orca', 'input_ids_padded.npy') if not os.path.exists(target_preprocessed_data_path): - cmds.append("BENCHMARKS=llama2 make preprocess_data") + cmds.append(f"make preprocess_data BENCHMARKS='{model_name}'") else: cmds.append(f"make preprocess_data BENCHMARKS='{model_name}'") From f0698587f8eea5cad8ee19822584d6ae99a2f754 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Sun, 7 Jul 2024 23:38:56 +0100 Subject: [PATCH 52/93] Better support docker it --- script/run-docker-container/customize.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/script/run-docker-container/customize.py b/script/run-docker-container/customize.py index 1d39bb4056..90ebd6bb12 100644 --- a/script/run-docker-container/customize.py +++ b/script/run-docker-container/customize.py @@ -195,12 +195,13 @@ def postprocess(i): x1 = '' x2 = '' if env.get('CM_DOCKER_INTERACTIVE_MODE', '') in ['yes', 'True', True]: + run_cmd_prefix = "(" x1 = '-it' - x2 = " && bash " + x2 = " && bash ) || bash" CONTAINER="docker run " + x1 + " --entrypoint " + x + x + " " + run_opts + " " + docker_image_repo + "/" + docker_image_name + ":" + docker_image_tag - CMD = CONTAINER + " bash -c " + x + run_cmd + x2 + x + CMD = CONTAINER + " bash -c " + x + run_cmd_prefix + run_cmd + x2 + x print ('') print ("Container launch command:") From 0247b0a11b2523041043d4a712bd0f32698038df Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Sun, 7 Jul 2024 21:02:02 -0700 Subject: [PATCH 53/93] set fp8 option as true --- script/app-mlperf-inference-nvidia/_cm.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index d73667184b..67c8a131ef 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -1025,6 +1025,10 @@ variations: default_variations: batch-size: batch_size.1 + llama2-70b_,run_harness: + env: + CM_MLPERF_NVIDIA_HARNESS_USE_FP8: 'True' + gptj_,run_harness: deps: - tags: install,pytorch,from.src From 0bd277a5b788284550c12705af2dbbbb64d1f242 Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Sun, 7 Jul 2024 21:19:39 -0700 Subject: [PATCH 54/93] test changes reverted --- script/app-mlperf-inference-nvidia/_cm.yaml | 1 - script/get-ml-model-llama2/_cm.json | 2 +- script/get-ml-model-llama2/run-nvidia.sh | 5 ----- 3 files changed, 1 insertion(+), 7 deletions(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 67c8a131ef..92af31899a 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -560,7 +560,6 @@ variations: llama2-70b_: deps: - #- tags: get,ml-model,llama2-70b,_nvidia,_fp8 - tags: get,generic-python-lib,_package.transformers names: - transformers diff --git a/script/get-ml-model-llama2/_cm.json b/script/get-ml-model-llama2/_cm.json index 7127be2811..8644db53d2 100644 --- a/script/get-ml-model-llama2/_cm.json +++ b/script/get-ml-model-llama2/_cm.json @@ -51,6 +51,7 @@ "variations": { "meta-llama/Llama-2-70b-chat-hf": { "group": "huggingface-stub", + "default": true, "env": { "CM_GIT_CHECKOUT_FOLDER": "Llama-2-70b-chat-hf", "CM_MODEL_ZOO_ENV_KEY": "LLAMA2" @@ -63,7 +64,6 @@ }, "meta-llama/Llama-2-7b-chat-hf": { "group": "huggingface-stub", - "default": true, "env": { "CM_GIT_CHECKOUT_FOLDER": "Llama-2-7b-chat-hf", "CM_MODEL_ZOO_ENV_KEY": "LLAMA2" diff --git a/script/get-ml-model-llama2/run-nvidia.sh b/script/get-ml-model-llama2/run-nvidia.sh index 4067780954..9342e4ba9c 100644 --- a/script/get-ml-model-llama2/run-nvidia.sh +++ b/script/get-ml-model-llama2/run-nvidia.sh @@ -1,6 +1,5 @@ #!/bin/bash -< Date: Sun, 7 Jul 2024 21:39:14 -0700 Subject: [PATCH 55/93] code clean --- script/run-mlperf-inference-app/customize.py | 1 - 1 file changed, 1 deletion(-) diff --git a/script/run-mlperf-inference-app/customize.py b/script/run-mlperf-inference-app/customize.py index cc16f45a29..67a60daabf 100644 --- a/script/run-mlperf-inference-app/customize.py +++ b/script/run-mlperf-inference-app/customize.py @@ -216,7 +216,6 @@ def preprocess(i): if action == "docker": for k in docker_extra_input: ii[k] = docker_extra_input[k] - print(ii) r = cm.access(ii) if r['return'] > 0: return r From 646bc9df1fa38f12a42c20b3dfb88665dcf68301 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Mon, 8 Jul 2024 15:14:07 +0530 Subject: [PATCH 56/93] Fixes the deps for nvidia stable diffusion accuracy run --- script/app-mlperf-inference-nvidia/_cm.yaml | 3 +++ script/get-generic-sys-util/_cm.json | 13 +++++++++++++ script/install-pytorch-from-src/_cm.json | 6 +++++- script/install-torchvision-from-src/_cm.json | 8 ++++++++ 4 files changed, 29 insertions(+), 1 deletion(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 411e5754ea..956f6fb28b 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -438,6 +438,9 @@ variations: - tags: get,generic-python-lib,_package.onnxruntime names: - onnxruntime + - tags: get,generic-python-lib,_package.colored + names: + - colored - tags: get,generic-python-lib,_package.nvidia-ammo names: - nvidia-ammo diff --git a/script/get-generic-sys-util/_cm.json b/script/get-generic-sys-util/_cm.json index a427ce20fb..302810e787 100644 --- a/script/get-generic-sys-util/_cm.json +++ b/script/get-generic-sys-util/_cm.json @@ -128,6 +128,19 @@ } } }, + "libpng-dev": { + "env": { + "CM_SYS_UTIL_NAME": "libpng-dev" + }, + "state": { + "libpng-dev": { + "apt": "libpng-dev", + "dnf": "libpng-devel", + "yum": "libpng-devel", + "brew": "" + } + } + }, "screen": { "env": { "CM_SYS_UTIL_NAME": "screen" diff --git a/script/install-pytorch-from-src/_cm.json b/script/install-pytorch-from-src/_cm.json index 2f3440db30..98e1fc4c21 100644 --- a/script/install-pytorch-from-src/_cm.json +++ b/script/install-pytorch-from-src/_cm.json @@ -386,7 +386,11 @@ { "tags": "get,cmake", "version_min": "3.25.0" - } + }, + { + "tags": "get,generic-python-lib,numpy", + "version": "1.22.4" + } ], "ad": { "pytorch-src-repo": { diff --git a/script/install-torchvision-from-src/_cm.json b/script/install-torchvision-from-src/_cm.json index 50aa95dee8..c608dc2469 100644 --- a/script/install-torchvision-from-src/_cm.json +++ b/script/install-torchvision-from-src/_cm.json @@ -27,6 +27,14 @@ "tags": "get,compiler", "names": [ "compiler" ] }, + { + "tags": "get,generic-sys-util,_libpng-dev", + "enable_if_env": { + "CM_TORCHVISION_NEEDS_PNG": [ + "yes" + ] + } + }, { "env": { "CM_GIT_CHECKOUT_PATH_ENV_NAME": "CM_PYTORCH_VISION_SRC_REPO_PATH" From 5691c90a4d0d003efce093fddbabb78ffd0294b6 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Mon, 8 Jul 2024 16:10:48 +0530 Subject: [PATCH 57/93] Fixes compliance images path for sdxl accuracy run --- script/app-mlperf-inference-nvidia/_cm.yaml | 1 + script/process-mlperf-accuracy/customize.py | 9 ++++++++- 2 files changed, 9 insertions(+), 1 deletion(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 956f6fb28b..0eff6d474e 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -448,6 +448,7 @@ variations: env: CM_GENERIC_PYTHON_PIP_EXTRA_INDEX_URL: "https://pypi.nvidia.com" CM_GENERIC_PYTHON_PIP_EXTRA: "--no-cache-dir" + CM_SDXL_ACCURACY_RUN_DEVICE: " gpu" - tags: get,generic-python-lib,_package.optimum names: - optimum diff --git a/script/process-mlperf-accuracy/customize.py b/script/process-mlperf-accuracy/customize.py index c4d9025c62..0a97c08876 100644 --- a/script/process-mlperf-accuracy/customize.py +++ b/script/process-mlperf-accuracy/customize.py @@ -90,16 +90,23 @@ def preprocess(i): elif dataset == "coco2014": env['+PYTHONPATH'] = [ os.path.join(env['CM_MLPERF_INFERENCE_SOURCE'], "text_to_image", "tools") ] extra_options = "" + if env.get('CM_SDXL_STATISTICS_FILE_PATH', '') != '': extra_options += f" --statistics-path '{env['CM_SDXL_STATISTICS_FILE_PATH']}' " + if env.get('CM_SDXL_COMPLIANCE_IMAGES_PATH', '') != '': extra_options += f" --compliance-images-path '{env['CM_SDXL_COMPLIANCE_IMAGES_PATH']}' " + elif not os.path.exists(os.path.join(result_dir, "images")): + extra_options += f" --compliance-images-path {os.path.join(result_dir, 'images')} " + if env.get('CM_SDXL_ACCURACY_RUN_DEVICE', '') != '': extra_options += f" --device '{env['CM_SDXL_ACCURACY_RUN_DEVICE']}' " + + #env['DATASET_ANNOTATIONS_FILE_PATH'] = env['CM_DATASET_ANNOTATIONS_FILE_PATH'] CMD = env['CM_PYTHON_BIN_WITH_PATH'] + " '" + os.path.join(env['CM_MLPERF_INFERENCE_SOURCE'], "text_to_image", "tools", "accuracy_coco.py") + "' --mlperf-accuracy-file '" + os.path.join(result_dir, "mlperf_log_accuracy.json") + \ - "' --caption-path '" + os.path.join(env['CM_MLPERF_INFERENCE_SOURCE'], "text_to_image", "coco2014", "captions", "captions_source.tsv") + "' > '" + out_file + "'" + "' --caption-path '" + os.path.join(env['CM_MLPERF_INFERENCE_SOURCE'], "text_to_image", "coco2014", "captions", "captions_source.tsv") + "'" + extra_options + " > '" + out_file + "'" elif dataset == "kits19": CMD = env['CM_PYTHON_BIN_WITH_PATH'] + " '" + os.path.join(env['CM_MLPERF_INFERENCE_3DUNET_PATH'], From a35f2cf17136575d28dc50b55e59d19e91e3831a Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Mon, 8 Jul 2024 12:26:17 +0100 Subject: [PATCH 58/93] Make 24576 the default size for openorca --- script/get-dataset-openorca/_cm.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/script/get-dataset-openorca/_cm.json b/script/get-dataset-openorca/_cm.json index ad57e1e9c0..82d5f4dfdc 100644 --- a/script/get-dataset-openorca/_cm.json +++ b/script/get-dataset-openorca/_cm.json @@ -39,7 +39,6 @@ "uid": "9252c4d90d5940b7", "variations": { "60": { - "default": true, "env": { "CM_DATASET_SIZE": "60" }, @@ -58,6 +57,7 @@ "group": "dataset-type" }, "full": { + "default": true, "env": { "CM_DATASET_SIZE": "24576" }, From f6dd32951a5bdb6c4b4dd674fb3e90f6582eadac Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Mon, 8 Jul 2024 12:29:06 +0100 Subject: [PATCH 59/93] Fix typo --- script/install-pytorch-from-src/_cm.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/script/install-pytorch-from-src/_cm.json b/script/install-pytorch-from-src/_cm.json index 98e1fc4c21..0a0cb147b6 100644 --- a/script/install-pytorch-from-src/_cm.json +++ b/script/install-pytorch-from-src/_cm.json @@ -388,7 +388,7 @@ "version_min": "3.25.0" }, { - "tags": "get,generic-python-lib,numpy", + "tags": "get,generic-python-lib,_package.numpy", "version": "1.22.4" } ], From f2aa787efbc99d5c16fa61eca399fd8cc833d825 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Mon, 8 Jul 2024 12:39:32 +0000 Subject: [PATCH 60/93] Fixes for mlperf inference intel dlrmv2 (run starts) --- .../calibrate_dlrm_v2_model.sh | 16 +++++- .../app-mlperf-inference-intel/customize.py | 6 +++ .../run_dlrm_v2_harness.sh | 54 +++++++++++++++++++ 3 files changed, 74 insertions(+), 2 deletions(-) create mode 100644 script/app-mlperf-inference-intel/run_dlrm_v2_harness.sh diff --git a/script/app-mlperf-inference-intel/calibrate_dlrm_v2_model.sh b/script/app-mlperf-inference-intel/calibrate_dlrm_v2_model.sh index 233d5c857f..82aa6906cb 100644 --- a/script/app-mlperf-inference-intel/calibrate_dlrm_v2_model.sh +++ b/script/app-mlperf-inference-intel/calibrate_dlrm_v2_model.sh @@ -1,7 +1,19 @@ #!/bin/bash export MODEL_DIR=${CM_ML_MODEL_FILE_WITH_PATH} +export DATA_DIR=/mnt/dlrm_data echo ${CM_HARNESS_CODE_ROOT} cd ${CM_HARNESS_CODE_ROOT} -numactl -m 1 python python/dump_torch_model.py --model-path=$MODEL_DIR --dataset-path=$DATA_DIR -exit 1 +python -m pip install scikit-learn==1.3.0 torchsnapshot torchrec==0.3.2 +test $? -eq 0 || exit $? +python -m pip install fbgemm-gpu==0.3.2 --index-url https://download.pytorch.org/whl/cpu +test $? -eq 0 || exit $? +python python/dump_torch_model.py --model-path=$MODEL_DIR --dataset-path=$DATA_DIR +test $? -eq 0 || exit $? + +python python/calibration.py \ + --max-batchsize=65536 \ + --model-path=${MODEL_DIR}/../dlrm-multihot-pytorch.pt \ + --dataset-path=/mnt/dlrm_data/ \ + --use-int8 --calibration +test $? -eq 0 || exit $? diff --git a/script/app-mlperf-inference-intel/customize.py b/script/app-mlperf-inference-intel/customize.py index 9a1c164745..537874dff8 100644 --- a/script/app-mlperf-inference-intel/customize.py +++ b/script/app-mlperf-inference-intel/customize.py @@ -31,6 +31,8 @@ def preprocess(i): if env.get('CM_MLPERF_INFERENCE_CODE_VERSION', '') == 'v4.0': if 'gptj' in ml_model: code_base_folder = "ITREX" + if 'dlrm-v2' in ml_model: + code_base_folder = "pytorch-cpu-int8" harness_root = os.path.join(env['CM_MLPERF_INFERENCE_RESULTS_PATH'], 'closed', 'Intel', 'code', ml_model, code_base_folder) @@ -162,6 +164,10 @@ def preprocess(i): env['CM_RUN_DIR'] = env['CM_MLPERF_OUTPUT_DIR'] env['CM_RUN_CMD'] = f"bash {os.path.join(i['run_script_input']['path'],'run_3d-unet_harness.sh')} " + elif 'dlrm' in env['CM_MODEL']: + env['CM_RUN_DIR'] = i['run_script_input']['path'] + env['CM_RUN_CMD'] = f"bash {os.path.join(i['run_script_input']['path'],'run_dlrm_v2_harness.sh')} " + elif "gptj" in env['CM_MODEL']: env['CM_RUN_DIR'] = i['run_script_input']['path'] if env.get('CM_MLPERF_INFERENCE_CODE_VERSION', '') == "v3.1": diff --git a/script/app-mlperf-inference-intel/run_dlrm_v2_harness.sh b/script/app-mlperf-inference-intel/run_dlrm_v2_harness.sh new file mode 100644 index 0000000000..1f38b81c38 --- /dev/null +++ b/script/app-mlperf-inference-intel/run_dlrm_v2_harness.sh @@ -0,0 +1,54 @@ +#!/bin/bash +export MODEL_DIR=${CM_ML_MODEL_FILE_WITH_PATH} +export DATA_DIR=/mnt/dlrm_data + + +NUM_SOCKETS=${CM_HOST_CPU_SOCKETS:-2} +export NUM_SOCKETS=$NUM_SOCKETS +export num_physical_cores=`lscpu -b -p=Core,Socket | grep -v '^#' | sort -u | wc -l` +export CPUS_PER_SOCKET=$((num_physical_cores/NUM_SOCKETS)) +echo $CPUS_PER_SOCKET +export CPUS_PER_PROCESS=24 +#${CPUS_PER_SOCKET} +export CPUS_PER_INSTANCE=1 +export CPUS_FOR_LOADGEN=1 +export BATCH_SIZE=100 +export DNNL_MAX_CPU_ISA=AVX512_CORE_AMX + + +export KMP_BLOCKTIME=1 +export OMP_NUM_THREADS=$CPUS_PER_INSTANCE +export KMP_AFFINITY="granularity=fine,compact,1,0" +export DNNL_PRIMITIVE_CACHE_CAPACITY=20971520 +export DLRM_DIR=$PWD/python/model +#export TCMALLOC_LARGE_ALLOC_REPORT_THRESHOLD=30469645312 + +mode="Offline" +extra_option="--samples-per-query-offline=204800" + +int8_cfg="--int8-configure-dir=int8_configure.json" +echo "Running $mode bs=$batch_size $dtype $test_type $DNNL_MAX_CPU_ISA" + +export CUDA_VISIBLE_DEVICES="" +extra_option=" $extra_option --use-int8" +export EXTRA_OPS="$extra_option" + +#export number_cores=`lscpu -b -p=Core,Socket | grep -v '^#' | sort -u | wc -l` + +model_path="$MODEL_DIR/dlrm-multihot-pytorch.pt" +profile=dlrm-multihot-pytorch +common_opt="--config ${CM_MLPERF_CONF}" +cd ${CM_HARNESS_CODE_ROOT} +OUTPUT_DIR="${CM_MLPERF_OUTPUT_DIR}" + + +USER_CONF="${CM_MLPERF_USER_CONF}" +cmd="python -u python/runner.py --profile $profile $common_opt --model dlrm --model-path $model_path \ +--dataset multihot-criteo --dataset-path $DATA_DIR --output $OUTPUT_DIR $EXTRA_OPS \ +--max-ind-range=40000000 --samples-to-aggregate-quantile-file=${PWD}/tools/dist_quantile.txt \ +--max-batchsize=$BATCH_SIZE --scenario=Offline" + + +echo "$cmd" +#exit 1 +eval "$cmd" From 3beb85b62afed8e88c28828b65c7736222dc43b1 Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Mon, 8 Jul 2024 22:03:25 +0530 Subject: [PATCH 61/93] tp_size variability supported --- script/get-ml-model-llama2/_cm.json | 6 ++++++ script/get-ml-model-llama2/run-nvidia.sh | 6 +++++- 2 files changed, 11 insertions(+), 1 deletion(-) diff --git a/script/get-ml-model-llama2/_cm.json b/script/get-ml-model-llama2/_cm.json index 8644db53d2..b1a307178d 100644 --- a/script/get-ml-model-llama2/_cm.json +++ b/script/get-ml-model-llama2/_cm.json @@ -99,6 +99,12 @@ }, "group": "precision" }, + "tp_size.#": { + "env": { + "CM_NVIDIA_TP_SIZE": "#" + }, + "group": "gpu" + }, "generic": { "env":{ "CM_NVIDIA_TP_SIZE": 2 diff --git a/script/get-ml-model-llama2/run-nvidia.sh b/script/get-ml-model-llama2/run-nvidia.sh index 9342e4ba9c..1bc6825d1b 100644 --- a/script/get-ml-model-llama2/run-nvidia.sh +++ b/script/get-ml-model-llama2/run-nvidia.sh @@ -13,7 +13,11 @@ cd ${CM_TENSORRT_LLM_CHECKOUT_PATH} make -C docker build test $? -eq 0 || exit $? -RUN_CMD="bash -c 'python3 scripts/build_wheel.py -a=${CM_GPU_ARCH} --clean --install --trt_root /usr/local/tensorrt/ && python examples/quantization/quantize.py --dtype=float16 --output_dir=/mnt/models/Llama2/fp8-quantized-ammo/Llama2-70b-tp${CM_NVIDIA_TP_SIZE}pp1-fp8 --model_dir=/mnt/models/Llama2/Llama-2-70b-chat-hf/repo --qformat=fp8 --kv_cache_dtype=fp8 --tp_size ${CM_NVIDIA_TP_SIZE}'" +if [ "${CM_NVIDIA_TP_SIZE}" -eq 1 ]; then + RUN_CMD="bash -c 'python3 scripts/build_wheel.py -a=${CM_GPU_ARCH} --clean --install --trt_root /usr/local/tensorrt/ && python examples/quantization/quantize.py --dtype=float16 --output_dir=/mnt/models/Llama2/fp8-quantized-ammo/llama2-70b-chat-hf-tp${CM_NVIDIA_TP_SIZE}pp1-fp8-02072024 --model_dir=/mnt/models/Llama2/Llama-2-70b-chat-hf/repo --qformat=fp8 --kv_cache_dtype=fp8 --tp_size ${CM_NVIDIA_TP_SIZE}'" +else + RUN_CMD="bash -c 'python3 scripts/build_wheel.py -a=${CM_GPU_ARCH} --clean --install --trt_root /usr/local/tensorrt/ && python examples/quantization/quantize.py --dtype=float16 --output_dir=/mnt/models/Llama2/fp8-quantized-ammo/llama2-70b-chat-hf-tp${CM_NVIDIA_TP_SIZE}pp1-fp8 --model_dir=/mnt/models/Llama2/Llama-2-70b-chat-hf/repo --qformat=fp8 --kv_cache_dtype=fp8 --tp_size ${CM_NVIDIA_TP_SIZE}'" +fi DOCKER_RUN_ARGS=" -v ${CM_NVIDIA_MLPERF_SCRATCH_PATH}:/mnt" export DOCKER_RUN_ARGS="$DOCKER_RUN_ARGS" export RUN_CMD="$RUN_CMD" From 3a15a4a32b9e28a9cbaf7accbf52c6325b338f98 Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Tue, 9 Jul 2024 15:09:41 +0530 Subject: [PATCH 62/93] Mapped llama2 model --- script/generate-mlperf-inference-user-conf/customize.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/script/generate-mlperf-inference-user-conf/customize.py b/script/generate-mlperf-inference-user-conf/customize.py index 22684b5710..6f9af42fd0 100644 --- a/script/generate-mlperf-inference-user-conf/customize.py +++ b/script/generate-mlperf-inference-user-conf/customize.py @@ -98,6 +98,8 @@ def preprocess(i): ml_model_name = "3d-unet" if 'gptj' in ml_model_name: ml_model_name = "gptj" + if 'llama2-70b' in ml_model_name: + ml_model_name = "llama2-70b" query_count = None From 1c8f6a8e5b2633bd29b782c986efe9d6d142225e Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Tue, 9 Jul 2024 13:27:17 +0000 Subject: [PATCH 63/93] Add Intel mlperf inference stable diffusion (WIP) --- script/app-mlperf-inference-intel/_cm.yaml | 58 ++++++++ .../run_dlrm_v2_harness.sh | 7 +- script/install-diffusers-from-src/_cm.json | 136 ++++++++++++++++++ .../install-diffusers-from-src/customize.py | 21 +++ script/install-diffusers-from-src/run.sh | 11 ++ script/install-ipex-from-src/_cm.json | 73 ++++++++++ .../install-torchvision-from-src/customize.py | 6 - 7 files changed, 305 insertions(+), 7 deletions(-) create mode 100644 script/install-diffusers-from-src/_cm.json create mode 100644 script/install-diffusers-from-src/customize.py create mode 100644 script/install-diffusers-from-src/run.sh diff --git a/script/app-mlperf-inference-intel/_cm.yaml b/script/app-mlperf-inference-intel/_cm.yaml index 7e839578a4..0b6c137204 100644 --- a/script/app-mlperf-inference-intel/_cm.yaml +++ b/script/app-mlperf-inference-intel/_cm.yaml @@ -330,6 +330,64 @@ variations: - pip-package - optimum + sdxl: + env: + CM_BENCHMARK: STANDALONE_SDXL + + sdxl,pytorch: + adr: + conda-package: + tags: _name.sdxl-pt + deps: + - tags: get,conda,_name.sdxl-pt + - tags: get,python,_conda.sdxl-pt + adr: + conda-python: + version: "3.9" + - names: + - conda-package + - mkl + tags: get,generic,conda-package,_package.mkl,_source.conda-forge + - names: + - conda-package + - mkl-include + tags: get,generic,conda-package,_package.mkl-include,_source.intel + - names: + - conda-package + - llvm-openmp + tags: get,generic,conda-package,_package.llvm-openmp,_source.conda-forge + - names: + - conda-package + - ncurses + tags: get,generic,conda-package,_package.ncurses,_source.conda-forge + - tags: get,generic-sys-util,_numactl + - tags: get,generic,conda-package,_package.jemalloc,_source.conda-forge + names: + - conda-package + - jemalloc + - tags: get,generic-python-lib,_torch + names: + - pip-package + - torch + - tags: install,diffusers,from.src,_for-intel-mlperf-inference-v4.0-sdxl + names: + - diffusers-from-src + - tags: install,onednn,from.src,_branch.rls-v2.6 + names: + - onednn-from-src + - tags: install,ipex,from.src,_for-intel-mlperf-inference-v4.0-sdxl + names: + - ipex-from-src + - tags: get,generic,conda-package,_package.ninja + names: + - conda-package + - ninja + - tags: get,mlcommons,inference,src + names: + - inference-src + - tags: get,mlcommons,inference,loadgen,_custom-python,_keep-build + names: + - inference-loadgen resnet50,pytorch: adr: conda-package: diff --git a/script/app-mlperf-inference-intel/run_dlrm_v2_harness.sh b/script/app-mlperf-inference-intel/run_dlrm_v2_harness.sh index 1f38b81c38..e172104df9 100644 --- a/script/app-mlperf-inference-intel/run_dlrm_v2_harness.sh +++ b/script/app-mlperf-inference-intel/run_dlrm_v2_harness.sh @@ -41,12 +41,17 @@ common_opt="--config ${CM_MLPERF_CONF}" cd ${CM_HARNESS_CODE_ROOT} OUTPUT_DIR="${CM_MLPERF_OUTPUT_DIR}" +if [[ "${CM_MLPERF_LOADGEN_MODE}" == "accuracy" ]]; then + accuracy_opt=" --accuracy" +else + accuracy_opt="" +fi USER_CONF="${CM_MLPERF_USER_CONF}" cmd="python -u python/runner.py --profile $profile $common_opt --model dlrm --model-path $model_path \ --dataset multihot-criteo --dataset-path $DATA_DIR --output $OUTPUT_DIR $EXTRA_OPS \ --max-ind-range=40000000 --samples-to-aggregate-quantile-file=${PWD}/tools/dist_quantile.txt \ ---max-batchsize=$BATCH_SIZE --scenario=Offline" +--max-batchsize=$BATCH_SIZE --scenario=${CM_MLPERF_LOADGEN_SCENARIO} ${accuracy_opt}" echo "$cmd" diff --git a/script/install-diffusers-from-src/_cm.json b/script/install-diffusers-from-src/_cm.json new file mode 100644 index 0000000000..0b26221024 --- /dev/null +++ b/script/install-diffusers-from-src/_cm.json @@ -0,0 +1,136 @@ +{ + "alias": "install-diffusers-from-src", + "automation_alias": "script", + "automation_uid": "5b4e0237da074764", + "cache": true, + "category": "Compiler automation", + "deps": [ + { + "tags": "detect,os" + }, + { + "tags": "detect,cpu" + }, + { + "names": [ + "python", + "python3" + ], + "skip_if_env": { + "CM_CONDA_ENV": [ + "yes" + ] + }, + "tags": "get,python3" + }, + { + "names": [ + "compiler" + ], + "tags": "get,compiler" + }, + { + "env": { + "CM_GIT_CHECKOUT_PATH_ENV_NAME": "CM_DIFFUSERS_SRC_REPO_PATH" + }, + "extra_cache_tags": "diffusers,diffusers-src,src,diffusers-src,diffusers-src-repo", + "names": [ + "diffusers-src-repo" + ], + "tags": "get,git,repo", + "update_tags_from_env_with_prefix": { + "_branch.": [ + "CM_GIT_CHECKOUT" + ], + "_repo.": [ + "CM_GIT_URL" + ], + "_sha.": [ + "CM_GIT_CHECKOUT_SHA" + ], + "_tag.": [ + "CM_GIT_CHECKOUT_TAG" + ] + } + } + ], + "env": { + "CM_GIT_URL": "https://github.com/huggingface/diffusers.git" + }, + "name": "Build diffusers from sources", + "new_env_keys": [ + "CM_DIFFUSERS_*" + ], + "prehook_deps": [], + "sort": 1000, + "tags": [ + "install", + "get", + "src", + "from.src", + "diffusers", + "src-diffusers" + ], + "uid": "b2ddda995f63412f", + "variations": { + "branch.#": { + "env": { + "CM_GIT_CHECKOUT": "#" + } + }, + "cuda": { + "deps": [ + { + "names": [ + "cuda" + ], + "tags": "get,cuda,_cudnn" + } + ], + "env": { + "CUDA_HOME": "<<>>", + "CUDA_NVCC_EXECUTABLE": "<<>>", + "CUDNN_INCLUDE_PATH": "<<>>", + "CUDNN_LIBRARY_PATH": "<<>>", + "TORCH_CUDA_ARCH_LIST": "Ampere Ada Hopper", + "TORCH_CXX_FLAGS": "-D_GLIBCXX_USE_CXX11_ABI=1", + "USE_CUDA": "1", + "USE_CUDNN": "1" + } + }, + "python.#": { + "env": { + "CM_PYTHON_BIN_WITH_PATH": "#" + } + }, + "repo.#": { + "env": { + "CM_GIT_URL": "#" + }, + "group": "repo" + }, + "repo.https://github.com/huggingface/diffusers": { + "default": true, + "env": { + "CM_GIT_URL": "https://github.com/huggingface/diffusers" + }, + "group": "repo" + }, + "sha.#": { + "env": { + "CM_GIT_CHECKOUT_SHA": "#" + } + }, + "tag.#": { + "ad": { + "pytorch-src-repo": { + "tags": "_no-recurse-submodules,_full-history" + } + }, + "env": { + "CM_GIT_CHECKOUT_TAG": "#" + } + } + }, + "versions": {} +} diff --git a/script/install-diffusers-from-src/customize.py b/script/install-diffusers-from-src/customize.py new file mode 100644 index 0000000000..0e1ca24f5c --- /dev/null +++ b/script/install-diffusers-from-src/customize.py @@ -0,0 +1,21 @@ +from cmind import utils +import os + +def preprocess(i): + + os_info = i['os_info'] + + if os_info['platform'] == 'windows': + return {'return':1, 'error': 'Windows is not supported in this script yet'} + + env = i['env'] + + + automation = i['automation'] + + recursion_spaces = i['recursion_spaces'] + + return {'return':0} + +def postprocess(i): + return {'return':0} diff --git a/script/install-diffusers-from-src/run.sh b/script/install-diffusers-from-src/run.sh new file mode 100644 index 0000000000..3ddd6e0e7c --- /dev/null +++ b/script/install-diffusers-from-src/run.sh @@ -0,0 +1,11 @@ +#!/bin/bash + +CUR_DIR=$PWD +rm -rf diffusers +cp -r ${CM_DIFFUSERS_SRC_REPO_PATH} diffusers +cd diffusers +test "${?}" -eq "0" || exit $? +rm -rf build + +${CM_PYTHON_BIN_WITH_PATH} -m pip install . +test "${?}" -eq "0" || exit $? diff --git a/script/install-ipex-from-src/_cm.json b/script/install-ipex-from-src/_cm.json index de53756ca8..ba2fb9bde9 100644 --- a/script/install-ipex-from-src/_cm.json +++ b/script/install-ipex-from-src/_cm.json @@ -462,6 +462,79 @@ "CM_IPEX_SKIP_PYTORCH": "yes" } }, + "for-intel-mlperf-inference-sdxl": { + "alias": "for-intel-mlperf-inference-v4.0-sdxl" + }, + "for-intel-mlperf-inference-v4.0-sdxl": { + "adr": { + "conda-package": { + "tags": "_name.sdxl-pt" + }, + "pytorch": { + "tags": "_for-intel-mlperf-inference-sdxl" + } + }, + "base": [ + "sha.f27c8d42a734ae0805de2bd0d8396ce205638329" + ], + "deps": [ + { + "names": [ + "conda" + ], + "tags": "get,conda,_name.sdxl-pt" + }, + { + "names": [ + "conda-package", + "python3" + ], + "tags": "get,generic,conda-package,_package.python", + "version": "3.9" + }, + { + "names": [ + "conda-package", + "wheel" + ], + "tags": "get,generic,conda-package,_package.wheel,_source.conda-forge" + }, + { + "names": [ + "conda-package", + "setuptools" + ], + "version": "69.5.1", + "tags": "get,generic,conda-package,_package.setuptools,_source.conda-forge" + }, + { + "names": [ + "conda-package", + "typing-extensions" + ], + "tags": "get,generic,conda-package,_package.typing-extensions,_source.conda-forge" + }, + { + "names": [ + "conda-package", + "sympy" + ], + "tags": "get,generic,conda-package,_package.sympy,_source.conda-forge" + }, + { + "tags": "get,cmake", + "version_max": "3.26.4" + }, + { + "tags": "get,gcc", + "version_max": "12.3", + "version_max_usable": "12.3" + } + ], + "env": { + "CM_CONDA_ENV": "yes" + } + }, "repo.#": { "env": { "CM_GIT_URL": "#" diff --git a/script/install-torchvision-from-src/customize.py b/script/install-torchvision-from-src/customize.py index a4963cca9a..895731add7 100644 --- a/script/install-torchvision-from-src/customize.py +++ b/script/install-torchvision-from-src/customize.py @@ -10,12 +10,6 @@ def preprocess(i): env = i['env'] - if env.get('CM_MLPERF_INFERENCE_INTEL', '') == "yes": - i['run_script_input']['script_name'] = "run-intel-mlperf-inference-v3_1" - run_cmd="CC=clang CXX=clang++ USE_CUDA=OFF python -m pip install -e . " - - env['CM_RUN_CMD'] = run_cmd - automation = i['automation'] recursion_spaces = i['recursion_spaces'] From 9245dfdf2a1e8af275457002d15efc801d2297bd Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Tue, 9 Jul 2024 21:02:04 +0530 Subject: [PATCH 64/93] Updated parameters --- script/app-mlperf-inference-nvidia/customize.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py index 6364809bfa..8f711bfc0b 100644 --- a/script/app-mlperf-inference-nvidia/customize.py +++ b/script/app-mlperf-inference-nvidia/customize.py @@ -192,7 +192,8 @@ def preprocess(i): target_data_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'open_orca') # path to the dataset file target_data_file_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'open_orca','open_orca_gpt4_tokenized_llama.sampled_24576.pkl') - fp8_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'],'models','Llama2','fp8-quantized-ammo','Llama2-70b-tp2pp1-fp8') + tmp_tp_size = env['CM_NVIDIA_TP_SIZE'] + fp8_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'],'models','Llama2','fp8-quantized-ammo',f'Llama2-70b-tp{tmp_tp_size}pp1-fp8') if not os.path.exists(target_data_file_path): if env.get('CM_NVIDIA_LLAMA_DATASET_FILE_PATH', '') == '': return {'return': 1, 'error': 'Please specify the path to LLAMA2 dataset (pickle file)'} @@ -434,6 +435,10 @@ def preprocess(i): if use_fp8 and use_fp8.lower() not in [ "no", "false" ]: run_config += f" --use_fp8" + if "llama2" in env["CM_MODEL"]: + run_config += f" --fp8_quant_model_path={fp8_model_path}" + run_config += f" --tensor_parallelism={tmp_tp_size}" + enable_sort = env.get('CM_MLPERF_NVIDIA_HARNESS_ENABLE_SORT') if enable_sort and enable_sort.lower() not in [ "no", "false" ]: run_config += f" --enable_sort" From fb54adb642b05541e39ad9763e7dff058bf257fd Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Tue, 9 Jul 2024 21:08:08 +0530 Subject: [PATCH 65/93] Updated model path --- script/get-ml-model-llama2/run-nvidia.sh | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/script/get-ml-model-llama2/run-nvidia.sh b/script/get-ml-model-llama2/run-nvidia.sh index 1bc6825d1b..adf37dd174 100644 --- a/script/get-ml-model-llama2/run-nvidia.sh +++ b/script/get-ml-model-llama2/run-nvidia.sh @@ -3,7 +3,7 @@ if [[ ! -e ${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/Llama2/Llama-2-70b-chat-hf ]]; then mkdir -p ${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/Llama2/Llama-2-70b-chat-hf cd ${LLAMA2_CHECKPOINT_PATH} - cp -r ${LLAMA2_CHECKPOINT_PATH} ${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/Llama2/Llama-2-70b-chat-hf + cp -r ${LLAMA2_CHECKPOINT_PATH}/* ${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/Llama2/Llama-2-70b-chat-hf test $? -eq 0 || exit $? fi @@ -14,12 +14,14 @@ make -C docker build test $? -eq 0 || exit $? if [ "${CM_NVIDIA_TP_SIZE}" -eq 1 ]; then - RUN_CMD="bash -c 'python3 scripts/build_wheel.py -a=${CM_GPU_ARCH} --clean --install --trt_root /usr/local/tensorrt/ && python examples/quantization/quantize.py --dtype=float16 --output_dir=/mnt/models/Llama2/fp8-quantized-ammo/llama2-70b-chat-hf-tp${CM_NVIDIA_TP_SIZE}pp1-fp8-02072024 --model_dir=/mnt/models/Llama2/Llama-2-70b-chat-hf/repo --qformat=fp8 --kv_cache_dtype=fp8 --tp_size ${CM_NVIDIA_TP_SIZE}'" + RUN_CMD="bash -c 'python3 scripts/build_wheel.py -a=${CM_GPU_ARCH} --clean --install --trt_root /usr/local/tensorrt/ && python examples/quantization/quantize.py --dtype=float16 --output_dir=/mnt/models/Llama2/fp8-quantized-ammo/llama2-70b-chat-hf-tp${CM_NVIDIA_TP_SIZE}pp1-fp8-02072024 --model_dir=/mnt/models/Llama2/Llama-2-70b-chat-hf --qformat=fp8 --kv_cache_dtype=fp8 --tp_size ${CM_NVIDIA_TP_SIZE}'" else - RUN_CMD="bash -c 'python3 scripts/build_wheel.py -a=${CM_GPU_ARCH} --clean --install --trt_root /usr/local/tensorrt/ && python examples/quantization/quantize.py --dtype=float16 --output_dir=/mnt/models/Llama2/fp8-quantized-ammo/llama2-70b-chat-hf-tp${CM_NVIDIA_TP_SIZE}pp1-fp8 --model_dir=/mnt/models/Llama2/Llama-2-70b-chat-hf/repo --qformat=fp8 --kv_cache_dtype=fp8 --tp_size ${CM_NVIDIA_TP_SIZE}'" + RUN_CMD="bash -c 'python3 scripts/build_wheel.py -a=${CM_GPU_ARCH} --clean --install --trt_root /usr/local/tensorrt/ && python examples/quantization/quantize.py --dtype=float16 --output_dir=/mnt/models/Llama2/fp8-quantized-ammo/llama2-70b-chat-hf-tp${CM_NVIDIA_TP_SIZE}pp1-fp8 --model_dir=/mnt/models/Llama2/Llama-2-70b-chat-hf --qformat=fp8 --kv_cache_dtype=fp8 --tp_size ${CM_NVIDIA_TP_SIZE}'" fi DOCKER_RUN_ARGS=" -v ${CM_NVIDIA_MLPERF_SCRATCH_PATH}:/mnt" export DOCKER_RUN_ARGS="$DOCKER_RUN_ARGS" export RUN_CMD="$RUN_CMD" make -C docker run LOCAL_USER=1 test $? -eq 0 || exit $? + +echo "MLPerf Nvidia scratch path is:${CM_NVIDIA_MLPERF_SCRATCH_PATH}" From 4b5af51fb8f1b9b079a22d68ab75cd8829d11f95 Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Wed, 10 Jul 2024 00:48:00 +0530 Subject: [PATCH 66/93] added tp_size --- script/app-mlperf-inference/_cm.yaml | 7 +++++-- script/run-mlperf-inference-app/_cm.yaml | 3 ++- 2 files changed, 7 insertions(+), 3 deletions(-) diff --git a/script/app-mlperf-inference/_cm.yaml b/script/app-mlperf-inference/_cm.yaml index d8a7e5f773..9943481418 100644 --- a/script/app-mlperf-inference/_cm.yaml +++ b/script/app-mlperf-inference/_cm.yaml @@ -61,7 +61,8 @@ input_mapping: readme: CM_MLPERF_README debug: CM_DEBUG_SCRIPT_BENCHMARK_PROGRAM gpu_name: CM_NVIDIA_GPU_NAME - nvidia_llama2_datasetfile_path: CM_NVIDIA_LLAMA_DATASET_FILE_PATH + nvidia_llama2_dataset_file_path: CM_NVIDIA_LLAMA_DATASET_FILE_PATH + tp_size: CM_NVIDIA_TP_SIZE # Duplicate CM environment variables to the ones used in native apps env_key_mappings: @@ -1375,6 +1376,7 @@ docker: - "${{ GPTJ_CHECKPOINT_PATH }}:${{ GPTJ_CHECKPOINT_PATH }}" - "${{ LLAMA2_CHECKPOINT_PATH }}:${{ LLAMA2_CHECKPOINT_PATH }}" - "${{ DLRM_DATA_PATH }}:/home/mlperf_inf_dlrmv2" + - "${{ CM_NVIDIA_LLAMA_DATASET_FILE_PATH }}:${{ CM_NVIDIA_LLAMA_DATASET_FILE_PATH }}" skip_run_cmd: 'no' shm_size: '32gb' interactive: True @@ -1391,4 +1393,5 @@ docker: submission_dir: SUBMISSION_DIR dlrm_data_path: DLRM_DATA_PATH intel_gptj_int8_model_path: CM_MLPERF_INFERENCE_INTEL_GPTJ_INT8_MODEL_PATH - nvidia_llama2_datasetfile_path: CM_NVIDIA_LLAMA_DATASET_FILE_PATH + nvidia_llama2_dataset_file_path: CM_NVIDIA_LLAMA_DATASET_FILE_PATH + tp_size: CM_NVIDIA_TP_SIZE diff --git a/script/run-mlperf-inference-app/_cm.yaml b/script/run-mlperf-inference-app/_cm.yaml index 2fa658671c..7cce0b8ded 100644 --- a/script/run-mlperf-inference-app/_cm.yaml +++ b/script/run-mlperf-inference-app/_cm.yaml @@ -95,7 +95,8 @@ input_mapping: test_query_count: CM_TEST_QUERY_COUNT threads: CM_NUM_THREADS sut: CM_MLPERF_INFERENCE_SUT_VARIATION - nvidia_llama2_datasetfile_path: CM_NVIDIA_LLAMA_DATASET_FILE_PATH + nvidia_llama2_dataset_file_path: CM_NVIDIA_LLAMA_DATASET_FILE_PATH + tp_size: CM_NVIDIA_TP_SIZE new_state_keys: - app_mlperf_inference_* From d3d896426e8c405defbaf23c2c9fc27a3cde5762 Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Tue, 9 Jul 2024 14:05:49 -0700 Subject: [PATCH 67/93] fixed typo --- .../app-mlperf-inference-nvidia/customize.py | 4 ++-- script/app-mlperf-inference/_cm.yaml | 3 +++ script/get-cuda-devices/a.out | Bin 0 -> 963624 bytes 3 files changed, 5 insertions(+), 2 deletions(-) create mode 100755 script/get-cuda-devices/a.out diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py index 8f711bfc0b..f1fa039fa0 100644 --- a/script/app-mlperf-inference-nvidia/customize.py +++ b/script/app-mlperf-inference-nvidia/customize.py @@ -193,7 +193,7 @@ def preprocess(i): # path to the dataset file target_data_file_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'open_orca','open_orca_gpt4_tokenized_llama.sampled_24576.pkl') tmp_tp_size = env['CM_NVIDIA_TP_SIZE'] - fp8_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'],'models','Llama2','fp8-quantized-ammo',f'Llama2-70b-tp{tmp_tp_size}pp1-fp8') + fp8_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'],'models','Llama2','fp8-quantized-ammo',f'Llama2-70b-chat-hf-tp{tmp_tp_size}pp1-fp8') if not os.path.exists(target_data_file_path): if env.get('CM_NVIDIA_LLAMA_DATASET_FILE_PATH', '') == '': return {'return': 1, 'error': 'Please specify the path to LLAMA2 dataset (pickle file)'} @@ -211,7 +211,7 @@ def preprocess(i): if not os.path.exists(model_path): if "llama2" in env['CM_MODEL']: if not os.path.exists(os.path.join(model_path, 'config.json')): - return {'return': 1, 'error': 'Quantised model absent - did not detect config.json'} + return {'return': 1, 'error': f'Quantised model absent - did not detect config.json in path {model_path}'} else: cmds.append(f"make download_model BENCHMARKS='{model_name}'") elif "stable-diffusion" in env['CM_MODEL']: diff --git a/script/app-mlperf-inference/_cm.yaml b/script/app-mlperf-inference/_cm.yaml index 9943481418..57a2caea55 100644 --- a/script/app-mlperf-inference/_cm.yaml +++ b/script/app-mlperf-inference/_cm.yaml @@ -254,6 +254,9 @@ variations: docker: deps: - tags: get,ml-model,gptj,_nvidia,_fp8 + update_tags_from_env_with_prefix: + tp_size: CM_NVIDIA_TP_SIZE + env: BUILD_TRTLLM: 1 diff --git a/script/get-cuda-devices/a.out b/script/get-cuda-devices/a.out new file mode 100755 index 0000000000000000000000000000000000000000..02fe9c52f1340ac364173be343adc7339d1eecd7 GIT binary patch literal 963624 zcmeFa349yX_2@s@hyno#NWoBAL@{7?1p;+|6e-AL9AqN0fFTK1;sqO=MA&ko009NZ zpg{-(CDdhADYPzIRZ6G{1Qe2DLxGB=UI>v&{y4OT z$7L^<`q}HPpDv15{xcs>^b!AkP3ip83u*Y1|3qE_>1D0|Mb5bs>9=w zyG#%&{PWYv0&Drte12!ZaUw1<`5S-dvz<-(6^o}v@yvhb+so0-O^c78a&&Xuk(kmDs!TFn`m^eOour9fy9S z4`>f{@CWrN%;NJlkTG4BYc;Ankm1is<6j#0eEoAvq_q9-ccD@4u|3wxpkhYiZ-PT3 z@!P?Hk@&7f?A%{OKMuZ(War!>d}9%RUM^CuSP}h+VBZP<_|K1u*l8?c=i?&f$`#Rn 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zKKS|ZbH~5F<@Ncy@%#T`c>O;ZUjJ{0cs&062jg#sU+)c{fA~4$>wkLi^M1VixBKg6 z@9zBUFNe?n!58%>Kk#o8OMATjG5%(?kJrBQ@}uAXZ#mVDj=ud5`|mz}?)bBR#&3GB SfAg Date: Thu, 11 Jul 2024 11:05:57 +0100 Subject: [PATCH 81/93] Support --framework --- script/run-mlperf-inference-app/_cm.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/script/run-mlperf-inference-app/_cm.yaml b/script/run-mlperf-inference-app/_cm.yaml index 1f524d706e..08a33810f1 100644 --- a/script/run-mlperf-inference-app/_cm.yaml +++ b/script/run-mlperf-inference-app/_cm.yaml @@ -53,6 +53,7 @@ input_mapping: save_console_log: CM_SAVE_CONSOLE_LOG execution_mode: CM_MLPERF_RUN_STYLE find_performance: CM_MLPERF_FIND_PERFORMANCE_MODE + framework: CM_MLPERF_BACKEND gpu_name: CM_NVIDIA_GPU_NAME hw_name: CM_HW_NAME hw_notes_extra: CM_MLPERF_SUT_SW_NOTES_EXTRA From 17bed0fc3aa00c46d179330a1b76e55d4d7ae9ca Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Thu, 11 Jul 2024 13:41:29 +0100 Subject: [PATCH 82/93] Fix networkx version for nvidia-mlperf-inference --- script/install-pytorch-from-src/_cm.json | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/script/install-pytorch-from-src/_cm.json b/script/install-pytorch-from-src/_cm.json index 0a0cb147b6..9beb7e8c33 100644 --- a/script/install-pytorch-from-src/_cm.json +++ b/script/install-pytorch-from-src/_cm.json @@ -390,6 +390,10 @@ { "tags": "get,generic-python-lib,_package.numpy", "version": "1.22.4" + }, + { + "tags": "get,generic-python-lib,_package.networkx", + "version": "3.1" } ], "ad": { From da9f868be98440c3cbbc667416dbbb790e0d17d6 Mon Sep 17 00:00:00 2001 From: sahilavaran Date: Thu, 11 Jul 2024 13:53:40 +0100 Subject: [PATCH 83/93] Changed print to logger in script module --- automation/script/module.py | 280 +++++++++++++----------------------- 1 file changed, 103 insertions(+), 177 deletions(-) diff --git a/automation/script/module.py b/automation/script/module.py index c9ddb07e5e..5d36821430 100644 --- a/automation/script/module.py +++ b/automation/script/module.py @@ -10,6 +10,7 @@ # import os +import logging from cmind.automation import Automation from cmind import utils @@ -24,7 +25,7 @@ class CAutomation(Automation): ############################################################ def __init__(self, cmind, automation_file): super().__init__(cmind, __file__) - + logging.basicConfig(level=logging.INFO) self.os_info = {} self.run_state = {} self.run_state['deps'] = [] @@ -388,6 +389,7 @@ def _run(self, i): if verbose: env['CM_VERBOSE']='yes' run_state['tmp_verbose']=True + logging.getLogger().setLevel(logging.DEBUG) print_deps = i.get('print_deps', False) @@ -527,10 +529,10 @@ def _run(self, i): # cm_script_info += ' '+x+' variations "{}"'.format(" ".join(x_variation_tags)) # # if verbose: -# print ('') -# print (recursion_spaces + '* Searching for ' + cm_script_info) +# logging.info('') +# logging.info(recursion_spaces + '* Searching for ' + cm_script_info) # else: -# print (recursion_spaces + '* Running ' + cm_script_info) +# logging.info(recursion_spaces + '* Running ' + cm_script_info) cm_script_info = i.get('script_call_prefix', '').strip() @@ -559,11 +561,9 @@ def _run(self, i): cm_script_info += '"' # if verbose: -# print ('') +# logging.info('') - if not run_state.get('tmp_silent', False): - print ('') - print (recursion_spaces + '* ' + cm_script_info) + if not run_state.get('tmp_silent', False): logging.info(recursion_spaces + '* ' + cm_script_info) ############################################################################# @@ -601,8 +601,7 @@ def _run(self, i): # Sort scripts for better determinism list_of_found_scripts = sorted(list_of_found_scripts, key = lambda a: (a.meta.get('sort',0), a.path)) - if verbose: - print (recursion_spaces + ' - Number of scripts found: {}'.format(len(list_of_found_scripts))) + logging.debug(recursion_spaces + ' - Number of scripts found: {}'.format(len(list_of_found_scripts))) # Check if script selection is remembered if not skip_remembered_selections and len(list_of_found_scripts) > 1: @@ -610,8 +609,7 @@ def _run(self, i): if selection['type'] == 'script' and set(selection['tags'].split(',')) == set(script_tags_string.split(',')): # Leave 1 entry in the found list list_of_found_scripts = [selection['cached_script']] - if verbose: - print (recursion_spaces + ' - Found remembered selection with tags: {}'.format(script_tags_string)) + logging.debug(recursion_spaces + ' - Found remembered selection with tags: {}'.format(script_tags_string)) break @@ -663,8 +661,7 @@ def _run(self, i): # This change can later be moved to a search function specific to cache cache_tags_without_tmp_string = cache_tags_without_tmp_string.replace(",_-", ",-_") - if verbose: - print (recursion_spaces + ' - Searching for cached script outputs with the following tags: {}'.format(cache_tags_without_tmp_string)) + logging.debug(recursion_spaces + ' - Searching for cached script outputs with the following tags: {}'.format(cache_tags_without_tmp_string)) search_cache = {'action':'find', 'automation':self.meta['deps']['cache'], @@ -674,8 +671,7 @@ def _run(self, i): cache_list = rc['list'] - if verbose: - print (recursion_spaces + ' - Number of cached script outputs found: {}'.format(len(cache_list))) + logging.debug(recursion_spaces + ' - Number of cached script outputs found: {}'.format(len(cache_list))) # STEP 400 output: cache_list @@ -801,8 +797,7 @@ def _run(self, i): if i.get('debug_script', False): debug_script_tags=','.join(found_script_tags) - if verbose: - print (recursion_spaces+' - Found script::{} in {}'.format(found_script_artifact, path)) + logging.debug(recursion_spaces+' - Found script::{} in {}'.format(found_script_artifact, path)) # STEP 500 output: script_artifact - unique selected script artifact @@ -939,8 +934,7 @@ def _run(self, i): # del(env[key]) if len(notes)>0: - if verbose: - print (recursion_spaces+' - Requested version: ' + ' '.join(notes)) + logging.debug(recursion_spaces+' - Requested version: ' + ' '.join(notes)) # STEP 900 output: version* set # env['CM_VERSION*] set @@ -973,10 +967,10 @@ def _run(self, i): if str(env.get('CM_RUN_STATE_DOCKER', False)).lower() in ['true', '1', 'yes']: if state.get('docker'): if str(state['docker'].get('run', True)).lower() in ['false', '0', 'no']: - print (recursion_spaces+' - Skipping script::{} run as we are inside docker'.format(found_script_artifact)) + logging.info(recursion_spaces+' - Skipping script::{} run as we are inside docker'.format(found_script_artifact)) return {'return': 0} elif str(state['docker'].get('real_run', True)).lower() in ['false', '0', 'no']: - print (recursion_spaces+' - Doing fake run for script::{} as we are inside docker'.format(found_script_artifact)) + logging.info(recursion_spaces+' - Doing fake run for script::{} as we are inside docker'.format(found_script_artifact)) fake_run = True env['CM_TMP_FAKE_RUN']='yes' @@ -1097,8 +1091,7 @@ def _run(self, i): elif num_found_cached_scripts == 1: - if verbose: - print (recursion_spaces+' - Found cached script output: {}'.format(found_cached_scripts[0].path)) + logging.debug(recursion_spaces+' - Found cached script output: {}'.format(found_cached_scripts[0].path)) if num_found_cached_scripts > 0: @@ -1106,24 +1099,21 @@ def _run(self, i): # Check chain of dynamic dependencies on other CM scripts if len(deps)>0: - if verbose: - print (recursion_spaces + ' - Checking dynamic dependencies on other CM scripts:') + logging.debug(recursion_spaces + ' - Checking dynamic dependencies on other CM scripts:') r = self._call_run_deps(deps, self.local_env_keys, local_env_keys_from_meta, env, state, const, const_state, add_deps_recursive, recursion_spaces + extra_recursion_spaces, remembered_selections, variation_tags_string, True, debug_script_tags, verbose, show_time, extra_recursion_spaces, run_state) if r['return']>0: return r - if verbose: - print (recursion_spaces + ' - Processing env after dependencies ...') + logging.debug(recursion_spaces + ' - Processing env after dependencies ...') r = update_env_with_values(env) if r['return']>0: return r # Check chain of prehook dependencies on other CM scripts. (No execution of customize.py for cached scripts) - if verbose: - print (recursion_spaces + ' - Checking prehook dependencies on other CM scripts:') + logging.debug(recursion_spaces + ' - Checking prehook dependencies on other CM scripts:') r = self._call_run_deps(prehook_deps, self.local_env_keys, local_env_keys_from_meta, env, state, const, const_state, add_deps_recursive, recursion_spaces + extra_recursion_spaces, @@ -1133,8 +1123,7 @@ def _run(self, i): # Continue with the selected cached script cached_script = found_cached_scripts[selection] - if verbose: - print (recursion_spaces+' - Loading state from cached entry ...') + logging.debug(recursion_spaces+' - Loading state from cached entry ...') path_to_cached_state_file = os.path.join(cached_script.path, self.file_with_cached_state) @@ -1144,7 +1133,7 @@ def _run(self, i): version = r['meta'].get('version') if not run_state.get('tmp_silent', False): - print (recursion_spaces + ' ! load {}'.format(path_to_cached_state_file)) + logging.info(recursion_spaces + ' ! load {}'.format(path_to_cached_state_file)) ################################################################################################ @@ -1172,8 +1161,7 @@ def _run(self, i): if not fake_run: # Check chain of posthook dependencies on other CM scripts. We consider them same as postdeps when # script is in cache - if verbose: - print (recursion_spaces + ' - Checking posthook dependencies on other CM scripts:') + logging.debug(recursion_spaces + ' - Checking posthook dependencies on other CM scripts:') clean_env_keys_post_deps = meta.get('clean_env_keys_post_deps',[]) @@ -1182,8 +1170,7 @@ def _run(self, i): remembered_selections, variation_tags_string, found_cached, debug_script_tags, verbose, show_time, extra_recursion_spaces, run_state) if r['return']>0: return r - if verbose: - print (recursion_spaces + ' - Checking post dependencies on other CM scripts:') + logging.debug(recursion_spaces + ' - Checking post dependencies on other CM scripts:') # Check chain of post dependencies on other CM scripts r = self._call_run_deps(post_deps, self.local_env_keys, clean_env_keys_post_deps, env, state, const, const_state, add_deps_recursive, @@ -1226,9 +1213,8 @@ def _run(self, i): tmp_tags.append(x) # Use update to update the tmp one if already exists - if verbose: - print (recursion_spaces+' - Creating new "cache" script artifact in the CM local repository ...') - print (recursion_spaces+' - Tags: {}'.format(','.join(tmp_tags))) + logging.debug(recursion_spaces+' - Creating new "cache" script artifact in the CM local repository ...') + logging.debug(recursion_spaces+' - Tags: {}'.format(','.join(tmp_tags))) if version != '': cached_meta['version'] = version @@ -1254,8 +1240,7 @@ def _run(self, i): # Changing path to CM script artifact for cached output # to record data and files there - if verbose: - print (recursion_spaces+' - Changing to {}'.format(cached_path)) + logging.debug(recursion_spaces+' - Changing to {}'.format(cached_path)) os.chdir(cached_path) @@ -1270,8 +1255,7 @@ def _run(self, i): # Changing path to CM script artifact for cached output # to record data and files there - if verbose: - print (recursion_spaces+' - Changing to {}'.format(cached_path)) + logging.debug(recursion_spaces+' - Changing to {}'.format(cached_path)) os.chdir(cached_path) @@ -1296,12 +1280,11 @@ def _run(self, i): ################################ if not found_cached: if len(warnings)>0: - print ('=================================================') - print ('WARNINGS:') - print ('') + logging.warn('=================================================') + logging.warn('WARNINGS:') for w in warnings: - print (' '+w) - print ('=================================================') + logging.warn(' '+w) + logging.warn('=================================================') # Update default version meta if version is not set if version == '': @@ -1332,8 +1315,7 @@ def _run(self, i): else: version = version_max - if verbose: - print (recursion_spaces+' - Version is not specified - use either default_version from meta or min/max/usable: {}'.format(version)) + logging.debug(recursion_spaces+' - Version is not specified - use either default_version from meta or min/max/usable: {}'.format(version)) env['CM_VERSION'] = version @@ -1358,32 +1340,28 @@ def _run(self, i): if len(docker_deps)>0: - if verbose: - print (recursion_spaces + ' - Checking docker run dependencies on other CM scripts:') + logging.debug(recursion_spaces + ' - Checking docker run dependencies on other CM scripts:') r = self._call_run_deps(docker_deps, self.local_env_keys, local_env_keys_from_meta, env, state, const, const_state, add_deps_recursive, recursion_spaces + extra_recursion_spaces, remembered_selections, variation_tags_string, False, debug_script_tags, verbose, show_time, extra_recursion_spaces, run_state) if r['return']>0: return r - if verbose: - print (recursion_spaces + ' - Processing env after docker run dependencies ...') + logging.debug(recursion_spaces + ' - Processing env after docker run dependencies ...') r = update_env_with_values(env) if r['return']>0: return r # Check chain of dependencies on other CM scripts if len(deps)>0: - if verbose: - print (recursion_spaces + ' - Checking dependencies on other CM scripts:') + logging.debug(recursion_spaces + ' - Checking dependencies on other CM scripts:') r = self._call_run_deps(deps, self.local_env_keys, local_env_keys_from_meta, env, state, const, const_state, add_deps_recursive, recursion_spaces + extra_recursion_spaces, remembered_selections, variation_tags_string, False, debug_script_tags, verbose, show_time, extra_recursion_spaces, run_state) if r['return']>0: return r - if verbose: - print (recursion_spaces + ' - Processing env after dependencies ...') + logging.debug(recursion_spaces + ' - Processing env after dependencies ...') r = update_env_with_values(env) if r['return']>0: return r @@ -1466,14 +1444,12 @@ def _run(self, i): env['CM_TMP_PIP_VERSION_STRING'] = pip_version_string if pip_version_string != '': - if verbose: - print (recursion_spaces+' # potential PIP version string (if needed): '+pip_version_string) + logging.debug(recursion_spaces+' # potential PIP version string (if needed): '+pip_version_string) # Check if pre-process and detect if 'preprocess' in dir(customize_code) and not fake_run: - if verbose: - print (recursion_spaces+' - Running preprocess ...') + logging.debug(recursion_spaces+' - Running preprocess ...') # Update env and state with const utils.merge_dicts({'dict1':env, 'dict2':const, 'append_lists':True, 'append_unique':True}) @@ -1494,8 +1470,7 @@ def _run(self, i): skip = r.get('skip', False) if skip: - if verbose: - print (recursion_spaces+' - this script is skipped!') + logging.debug(recursion_spaces+' - this script is skipped!') # Check if script asks to run other dependencies instead of the skipped one another_script = r.get('script', {}) @@ -1503,8 +1478,7 @@ def _run(self, i): if len(another_script) == 0: return {'return':0, 'skipped': True} - if verbose: - print (recursion_spaces+' - another script is executed instead!') + logging.debug(recursion_spaces+' - another script is executed instead!') ii = { 'action':'run', @@ -1542,13 +1516,11 @@ def _run(self, i): if print_env: import json - if verbose: - print (json.dumps(env, indent=2, sort_keys=True)) + logging.debug(json.dumps(env, indent=2, sort_keys=True)) # Check chain of pre hook dependencies on other CM scripts if len(prehook_deps)>0: - if verbose: - print (recursion_spaces + ' - Checking prehook dependencies on other CM scripts:') + logging.debug(recursion_spaces + ' - Checking prehook dependencies on other CM scripts:') r = self._call_run_deps(prehook_deps, self.local_env_keys, local_env_keys_from_meta, env, state, const, const_state, add_deps_recursive, recursion_spaces + extra_recursion_spaces, @@ -1674,8 +1646,7 @@ def _run(self, i): if r['return']>0: return r # Remove tmp tag from the "cached" arifact to finalize caching - if verbose: - print (recursion_spaces+' - Removing tmp tag in the script cached output {} ...'.format(cached_uid)) + logging.debug(recursion_spaces+' - Removing tmp tag in the script cached output {} ...'.format(cached_uid)) # Check if version was detected and record in meta) if detected_version != '': @@ -1796,7 +1767,7 @@ def _run(self, i): elapsed_time = time.time() - start_time if verbose and cached_uid!='': - print (recursion_spaces+' - cache UID: {}'.format(cached_uid)) + logging.info(recursion_spaces+' - cache UID: {}'.format(cached_uid)) if print_deps: print_deps_data = self._print_deps(run_state['deps']) @@ -1836,9 +1807,7 @@ def _run(self, i): # Print output as json to console if i.get('json', False) or i.get('j', False): import json - - print ('') - print (json.dumps(rr, indent=2)) + logging.info(json.dumps(rr, indent=2)) @@ -1851,7 +1820,7 @@ def _run(self, i): dump_repro(repro_prefix, rr, run_state) if verbose or show_time: - print (recursion_spaces+' - running time of script "{}": {:.2f} sec.'.format(','.join(found_script_tags), elapsed_time)) + logging.info(recursion_spaces+' - running time of script "{}": {:.2f} sec.'.format(','.join(found_script_tags), elapsed_time)) if not recursion and show_space: @@ -1860,33 +1829,27 @@ def _run(self, i): used_disk_space_in_mb = int((start_disk_stats.free - stop_disk_stats.free) / (1024*1024)) if used_disk_space_in_mb > 0: - print (recursion_spaces+' - used disk space: {} MB'.format(used_disk_space_in_mb)) + logging.info(recursion_spaces+' - used disk space: {} MB'.format(used_disk_space_in_mb)) # Check if need to print some final info such as path to model, etc if not run_state.get('tmp_silent', False): print_env_at_the_end = meta.get('print_env_at_the_end',{}) if len(print_env_at_the_end)>0: - print ('') - for p in sorted(print_env_at_the_end): t = print_env_at_the_end[p] if t == '': t = 'ENV[{}]'.format(p) v = new_env.get(p, None) - print ('{}: {}'.format(t, str(v))) - - print ('') + logging.info('{}: {}'.format(t, str(v))) # Check if print nice versions if print_versions: self._print_versions(run_state) # Check if pause (useful if running a given script in a new terminal that may close automatically) - if i.get('pause', False): - print ('') - input ('Press Enter to continue ...') + if i.get('pause', False): input ('Press Enter to continue ...') return rr @@ -1931,11 +1894,10 @@ def _fix_cache_paths(self, env): def _dump_version_info_for_script(self, output_dir = os.getcwd(), quiet = False, silent = False): if not quiet and not silent: - print ('') - + pass for f in ['cm-run-script-versions.json', 'version_info.json']: if not quiet and not silent: - print ('Dumping versions to {}'.format(f)) + logging.info('Dumping versions to {}'.format(f)) r = utils.save_json(f, self.run_state.get('version_info', [])) if r['return']>0: return r @@ -2018,8 +1980,7 @@ def _update_state_from_variations(self, i, meta, variation_tags, variations, env x = '_' + t variation_tags_string += x - if verbose: - print (recursion_spaces+' Prepared variations: {}'.format(variation_tags_string)) + logging.debug(recursion_spaces+' Prepared variations: {}'.format(variation_tags_string)) # Update env and other keys if variations if len(variation_tags)>0: @@ -2261,7 +2222,7 @@ def version(self, i): version = self.__version__ if console: - print (version) + logging.info(version) return {'return':0, 'version':version} @@ -2376,7 +2337,7 @@ def search(self, i): # Print filtered paths if console if console: for script in r['list']: - print (script.path) + logging.info(script.path) # Finalize output r['script_tags'] = script_tags @@ -2443,9 +2404,8 @@ def test(self, i): uid = meta.get('uid','') if console: - print ('') - print (path) - print (' Test: TBD') + logging.info(path) + logging.info(' Test: TBD') return {'return':0, 'list': lst} @@ -2687,7 +2647,7 @@ def add(self, i): new_script_path = r_obj['path'] if console: - print ('Created script in {}'.format(new_script_path)) + logging.info('Created script in {}'.format(new_script_path)) # Copy files from template (only if exist) files = [ @@ -2733,7 +2693,7 @@ def add(self, i): f2 = os.path.join(new_script_path, f2) if console: - print (' * Copying {} to {}'.format(f1, f2)) + logging.info(' * Copying {} to {}'.format(f1, f2)) shutil.copyfile(f1,f2) @@ -3249,10 +3209,8 @@ def _print_versions(self, run_state): version_info = run_state.get('version_info', []) - print ('=========================') - print ('Versions of dependencies:') - print ('') - + logging.info('=========================') + logging.info('Versions of dependencies:') for v in version_info: k = list(v.keys())[0] version_info_dict=v[k] @@ -3260,9 +3218,9 @@ def _print_versions(self, run_state): version = version_info_dict.get('version','') if version !='' : - print ('* {}: {}'.format(k, version)) + logging.info('* {}: {}'.format(k, version)) - print ('=========================') + logging.info('=========================') return {} @@ -3283,11 +3241,9 @@ def _print_deps(self, deps): print_deps_data = [] run_cmds = self._get_deps_run_cmds(deps) - - print ('') for cmd in run_cmds: print_deps_data.append(cmd) - print(cmd) + logging.info(cmd) return print_deps_data @@ -3496,15 +3452,13 @@ def find_file_in_paths(self, i): if version_max != '': x += ' <= {}'.format(version_max) if x!='': - print (recursion_spaces + ' - Searching for versions: {}'.format(x)) + logging.info(recursion_spaces + ' - Searching for versions: {}'.format(x)) new_recursion_spaces = recursion_spaces + ' ' for path_to_file in found_files: - - print ('') - print (recursion_spaces + ' * ' + path_to_file) + logging.info(recursion_spaces + ' * ' + path_to_file) run_script_input['env'] = env run_script_input['env'][env_path_key] = path_to_file @@ -3523,7 +3477,7 @@ def find_file_in_paths(self, i): if detected_version != '': if detected_version == -1: - print (recursion_spaces + ' SKIPPED due to incompatibility ...') + logging.info(recursion_spaces + ' SKIPPED due to incompatibility ...') else: ry = check_version_constraints({'detected_version': detected_version, 'version': version, @@ -3535,7 +3489,7 @@ def find_file_in_paths(self, i): if not ry['skip']: found_files_with_good_version.append(path_to_file) else: - print (recursion_spaces + ' SKIPPED due to version constraints ...') + logging.info(recursion_spaces + ' SKIPPED due to version constraints ...') found_files = found_files_with_good_version @@ -3545,16 +3499,12 @@ def find_file_in_paths(self, i): selection = 0 else: # Select 1 and proceed - print (recursion_spaces+' - More than 1 path found:') - - print ('') + logging.info(recursion_spaces+' - More than 1 path found:') num = 0 for file in found_files: - print (recursion_spaces+' {}) {}'.format(num, file)) + logging.info(recursion_spaces+' {}) {}'.format(num, file)) num += 1 - - print ('') x=input(recursion_spaces+' Make your selection or press Enter for 0: ') x=x.strip() @@ -3564,9 +3514,7 @@ def find_file_in_paths(self, i): if selection < 0 or selection >= num: selection = 0 - - print ('') - print (recursion_spaces+' Selected {}: {}'.format(selection, found_files[selection])) + logging.info(recursion_spaces+' Selected {}: {}'.format(selection, found_files[selection])) found_files = [found_files[selection]] @@ -3616,7 +3564,7 @@ def detect_version_using_script(self, i): if version_max != '': x += ' <= {}'.format(version_max) if x!='': - print (recursion_spaces + ' - Searching for versions: {}'.format(x)) + logging.info(recursion_spaces + ' - Searching for versions: {}'.format(x)) new_recursion_spaces = recursion_spaces + ' ' @@ -3732,7 +3680,7 @@ def find_artifact(self, i): if path == '': path_list_tmp = default_path_list else: - print (recursion_spaces + ' # Requested paths: {}'.format(path)) + logging.info(recursion_spaces + ' # Requested paths: {}'.format(path)) path_list_tmp = path.split(os_info['env_separator']) # Check soft links @@ -3792,8 +3740,7 @@ def find_artifact(self, i): if extra_paths[extra_path] not in env: env[extra_paths[extra_path]] = [] env[extra_paths[extra_path]].append(epath) - print () - print (recursion_spaces + ' # Found artifact in {}'.format(file_path)) + logging.info(recursion_spaces + ' # Found artifact in {}'.format(file_path)) if env_path_key != '': env[env_path_key] = file_path @@ -4207,8 +4154,7 @@ def find_cached_script(i): found_cached_scripts = [] - if verbose: - print (recursion_spaces + ' - Checking if script execution is already cached ...') + logging.debug(recursion_spaces + ' - Checking if script execution is already cached ...') # Create a search query to find that we already ran this script with the same or similar input # It will be gradually enhanced with more "knowledge" ... @@ -4239,8 +4185,7 @@ def find_cached_script(i): if x not in explicit_cached_tags: explicit_cached_tags.append(x) - if verbose: - print (recursion_spaces+' - Prepared explicit variations: {}'.format(explicit_variation_tags_string)) + logging.debug(recursion_spaces+' - Prepared explicit variations: {}'.format(explicit_variation_tags_string)) if len(variation_tags)>0: variation_tags_string = '' @@ -4257,8 +4202,7 @@ def find_cached_script(i): if x not in cached_tags: cached_tags.append(x) - if verbose: - print (recursion_spaces+' - Prepared variations: {}'.format(variation_tags_string)) + logging.debug(recursion_spaces+' - Prepared variations: {}'.format(variation_tags_string)) # Add version if version !='': @@ -4293,8 +4237,7 @@ def find_cached_script(i): if len(cached_tags) >0 : search_tags += ',' + ','.join(explicit_cached_tags) - if verbose: - print (recursion_spaces+' - Searching for cached script outputs with the following tags: {}'.format(search_tags)) + logging.debug(recursion_spaces+' - Searching for cached script outputs with the following tags: {}'.format(search_tags)) r = self_obj.cmind.access({'action':'find', 'automation':self_obj.meta['deps']['cache'], @@ -4316,8 +4259,7 @@ def find_cached_script(i): return {'return':2, 'error':'The version of the previously remembered selection for a given script ({}) mismatches the newly requested one'.format(tmp_version_in_cached_script)} else: found_cached_scripts = [selection['cached_script']] - if verbose: - print (recursion_spaces + ' - Found remembered selection with tags "{}"!'.format(search_tags)) + logging.debug(recursion_spaces + ' - Found remembered selection with tags "{}"!'.format(search_tags)) break @@ -4356,7 +4298,7 @@ def enable_or_skip_script(meta, env): (AND function) """ if type(meta) != dict: - print( "The meta entry is not a dictionary for skip/enable if_env {}".format(meta)) + logging.info( "The meta entry is not a dictionary for skip/enable if_env {}".format(meta)) for key in meta: meta_key = [str(v).lower() for v in meta[key]] @@ -4597,14 +4539,10 @@ def prepare_and_run_script_with_postprocessing(i, postprocess="postprocess"): run_script = tmp_file_run + bat_ext run_script_without_cm = tmp_file_run + '-without-cm' + bat_ext - if verbose: - print ('') - print (recursion_spaces + ' - Running native script "{}" from temporal script "{}" in "{}" ...'.format(path_to_run_script, run_script, cur_dir)) - print ('') - + logging.debug(recursion_spaces + ' - Running native script "{}" from temporal script "{}" in "{}" ...'.format(path_to_run_script, run_script, cur_dir)) if not run_state.get('tmp_silent', False): - print (recursion_spaces + ' ! cd {}'.format(cur_dir)) - print (recursion_spaces + ' ! call {} from {}'.format(path_to_run_script, run_script)) + logging.info(recursion_spaces + ' ! cd {}'.format(cur_dir)) + logging.info(recursion_spaces + ' ! call {} from {}'.format(path_to_run_script, run_script)) # Prepare env variables @@ -4645,9 +4583,9 @@ def prepare_and_run_script_with_postprocessing(i, postprocess="postprocess"): import shutil shutil.copy(run_script, run_script_without_cm) - print ('================================================================================') - print ('Debug script to run without CM was recorded: {}'.format(run_script_without_cm)) - print ('================================================================================') + logging.info('================================================================================') + logging.info('Debug script to run without CM was recorded: {}'.format(run_script_without_cm)) + logging.info('================================================================================') # Run final command cmd = os_info['run_local_bat_from_python'].replace('${bat_file}', run_script) @@ -4662,11 +4600,11 @@ def prepare_and_run_script_with_postprocessing(i, postprocess="postprocess"): if os.path.isfile(pr): r = utils.load_txt(file_name = pr) if r['return'] == 0: - print ("========================================================") - print ("Print file {}:".format(pr)) - print ("") - print (r['string']) - print ("") + logging.info("========================================================") + logging.info("Print file {}:".format(pr)) + logging.info("") + logging.info(r['string']) + logging.info("") # Check where to report errors and failures @@ -4726,7 +4664,7 @@ def prepare_and_run_script_with_postprocessing(i, postprocess="postprocess"): if postprocess != '' and customize_code is not None and postprocess in dir(customize_code): if not run_state.get('tmp_silent', False): - print (recursion_spaces+' ! call "{}" from {}'.format(postprocess, customize_code.__file__)) + logging.info(recursion_spaces+' ! call "{}" from {}'.format(postprocess, customize_code.__file__)) if len(posthook_deps)>0 and (postprocess == "postprocess"): r = script_automation._call_run_deps(posthook_deps, local_env_keys, local_env_keys_from_meta, env, state, const, const_state, @@ -4748,8 +4686,7 @@ def run_detect_version(customize_code, customize_common_input, recursion_spaces, if customize_code is not None and 'detect_version' in dir(customize_code): import copy - if verbose: - print (recursion_spaces+' - Running detect_version ...') + logging.debug(recursion_spaces+' - Running detect_version ...') # Update env and state with const utils.merge_dicts({'dict1':env, 'dict2':const, 'append_lists':True, 'append_unique':True}) @@ -4771,8 +4708,7 @@ def run_postprocess(customize_code, customize_common_input, recursion_spaces, en if customize_code is not None and 'postprocess' in dir(customize_code): import copy - if verbose: - print (recursion_spaces+' - Running postprocess ...') + logging.debug(recursion_spaces+' - Running postprocess ...') # Update env and state with const utils.merge_dicts({'dict1':env, 'dict2':const, 'append_lists':True, 'append_unique':True}) @@ -4913,8 +4849,8 @@ def clean_tmp_files(clean_files, recursion_spaces): Internal: clean tmp files """ -# print ('') -# print (recursion_spaces+' - cleaning files {} ...'.format(clean_files)) +# logging.info('') +# logging.info(recursion_spaces+' - cleaning files {} ...'.format(clean_files)) for tmp_file in clean_files: if os.path.isfile(tmp_file): @@ -5187,17 +5123,13 @@ def select_script_artifact(lst, text, recursion_spaces, can_skip, script_tags_st # If quiet, select 0 (can be sorted for determinism) if quiet: - if verbose: - print (string1) - print ('') - print ('Selected default due to "quiet" mode') + logging.debug(string1) + logging.debug('Selected default due to "quiet" mode') return 0 # Select 1 and proceed - print (string1) - - print ('') + logging.info(string1) num = 0 for a in lst: @@ -5214,11 +5146,9 @@ def select_script_artifact(lst, text, recursion_spaces, can_skip, script_tags_st if version!='': x+=' (Version {})'.format(version) - print (x) + logging.info(x) num+=1 - print ('') - s = 'Make your selection or press Enter for 0' if can_skip: s += ' or use -1 to skip' @@ -5233,15 +5163,11 @@ def select_script_artifact(lst, text, recursion_spaces, can_skip, script_tags_st selection = 0 if selection <0: - - print ('') - print (recursion_spaces+' Skipped') + logging.info(recursion_spaces+' Skipped') else: if selection >= num: selection = 0 - - print ('') - print (recursion_spaces+' Selected {}: {}'.format(selection, lst[selection].path)) + logging.info(recursion_spaces+' Selected {}: {}'.format(selection, lst[selection].path)) return selection @@ -5456,4 +5382,4 @@ def dump_repro(repro_prefix, rr, run_state): r=auto.test({'x':'y'}) - print (r) + logging.info(r) From 01b5276f617a5cbfbd513260c29b259fff9ad111 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Wed, 10 Jul 2024 17:55:40 +0000 Subject: [PATCH 84/93] Fixed intel mlperf inference sdxl (Run works now) --- script/app-mlperf-inference-intel/_cm.yaml | 63 ++++++++++++++++++- .../build_sdxl_harness.sh | 27 ++++++++ .../app-mlperf-inference-intel/customize.py | 6 ++ .../run_sdxl_harness.sh | 49 +++++++++++++++ script/app-mlperf-inference/_cm.yaml | 1 - script/get-dataset-coco2014/customize.py | 2 +- script/install-diffusers-from-src/_cm.json | 22 ++----- script/install-diffusers-from-src/run.sh | 9 ++- script/install-ipex-from-src/_cm.json | 17 ++++- 9 files changed, 172 insertions(+), 24 deletions(-) create mode 100644 script/app-mlperf-inference-intel/build_sdxl_harness.sh create mode 100644 script/app-mlperf-inference-intel/run_sdxl_harness.sh diff --git a/script/app-mlperf-inference-intel/_cm.yaml b/script/app-mlperf-inference-intel/_cm.yaml index 0b6c137204..4f0cdbacec 100644 --- a/script/app-mlperf-inference-intel/_cm.yaml +++ b/script/app-mlperf-inference-intel/_cm.yaml @@ -331,8 +331,10 @@ variations: - optimum sdxl: + group: model env: CM_BENCHMARK: STANDALONE_SDXL + CM_MODEL: stable-diffusion-xl sdxl,pytorch: adr: @@ -365,6 +367,14 @@ variations: names: - conda-package - jemalloc + - tags: get,generic-python-lib,_package.torch,_path.https://download.pytorch.org/whl/nightly/cpu/torch-2.3.0.dev20231214%2Bcpu-cp39-cp39-linux_x86_64.whl + names: + - pip-package + - pip-torch + - tags: get,generic-python-lib,_package.torchvision,_path.https://download.pytorch.org/whl/nightly/cpu/torchvision-0.18.0.dev20231214%2Bcpu-cp39-cp39-linux_x86_64.whl + names: + - pip-package + - pip-torchvision - tags: get,generic-python-lib,_torch names: - pip-package @@ -372,9 +382,6 @@ variations: - tags: install,diffusers,from.src,_for-intel-mlperf-inference-v4.0-sdxl names: - diffusers-from-src - - tags: install,onednn,from.src,_branch.rls-v2.6 - names: - - onednn-from-src - tags: install,ipex,from.src,_for-intel-mlperf-inference-v4.0-sdxl names: - ipex-from-src @@ -388,6 +395,56 @@ variations: - tags: get,mlcommons,inference,loadgen,_custom-python,_keep-build names: - inference-loadgen + + sdxl,build-harness: + deps: + - tags: get,generic-python-lib,_package.pybind11[global] + names: + - pip-package + - pybind11 + + sdxl,run-harness: + deps: + - tags: get,ml-model,sdxl,_fp32,_pytorch + - tags: get,dataset,coco2014,original,_validation + - tags: get,generic-python-lib,_package.opencv-python + names: + - pip-package + - opencv + - tags: get,generic-python-lib,_package.transformers + names: + - pip-package + - transformers + - tags: get,generic-python-lib,_package.accelerate + names: + - pip-package + - accelerate + - tags: get,generic-python-lib,_package.open-clip-torch + names: + - pip-package + - open-clip-torch + - tags: get,generic-python-lib,_package.pycocotools + names: + - pip-package + - pycocotools + - tags: get,generic-python-lib,_package.torchmetrics[image] + names: + - pip-package + - torchmetrics + - tags: get,generic-python-lib,_torchvision + version: "0.17.1" + names: + - pip-package + - torchvision + - tags: get,generic-python-lib,_package.py-libnuma + names: + - pip-package + - libnuma + + + + + resnet50,pytorch: adr: conda-package: diff --git a/script/app-mlperf-inference-intel/build_sdxl_harness.sh b/script/app-mlperf-inference-intel/build_sdxl_harness.sh new file mode 100644 index 0000000000..a0817e4955 --- /dev/null +++ b/script/app-mlperf-inference-intel/build_sdxl_harness.sh @@ -0,0 +1,27 @@ +cd ${CM_HARNESS_CODE_ROOT} + +cd utils +cmd=" python -m pip install ." + +echo "$cmd" +eval "$cmd" +test "$?" -eq 0 || exit "$?" + +cd ../tools +wget https://raw.githubusercontent.com/mlcommons/inference/master/text_to_image/tools/coco.py +test "$?" -eq 0 || exit "$?" +cd .. + +mkdir -p coco2014/captions +wget -P coco2014/captions/ https://raw.githubusercontent.com/mlcommons/inference/master/text_to_image/coco2014/captions/captions_source.tsv +test "$?" -eq 0 || exit "$?" + +mkdir -p coco2014/latents +wget -P coco2014/latents/ https://github.com/mlcommons/inference/raw/master/text_to_image/tools/latents.pt +test "$?" -eq 0 || exit "$?" + +cd tools/ +bash download-coco-2014-calibration.sh --download-path ${PWD}/../coco2014/warmup_dataset --num-workers 1 +test "$?" -eq 0 || exit "$?" +cd .. + diff --git a/script/app-mlperf-inference-intel/customize.py b/script/app-mlperf-inference-intel/customize.py index 537874dff8..cd3328eadc 100644 --- a/script/app-mlperf-inference-intel/customize.py +++ b/script/app-mlperf-inference-intel/customize.py @@ -93,6 +93,8 @@ def preprocess(i): i['run_script_input']['script_name'] = "build_bert_harness" env['CM_MLPERF_INFERENCE_INTEL_HARNESS_PATH'] = os.path.join(os.getcwd(), "harness", "build", "bert_inference") env['DATA_PATH'] = os.path.join(os.getcwd(), "harness", "bert") + elif "stable-diffusion" in env['CM_MODEL']: + i['run_script_input']['script_name'] = "build_sdxl_harness" elif "resnet50" in env['CM_MODEL']: i['run_script_input']['script_name'] = "build_resnet50_harness" env['CM_MLPERF_INFERENCE_INTEL_HARNESS_PATH'] = os.path.join(os.getcwd(), "harness", "build", "resnet50_inference") @@ -168,6 +170,10 @@ def preprocess(i): env['CM_RUN_DIR'] = i['run_script_input']['path'] env['CM_RUN_CMD'] = f"bash {os.path.join(i['run_script_input']['path'],'run_dlrm_v2_harness.sh')} " + elif 'stable-diffusion' in env['CM_MODEL']: + env['CM_RUN_DIR'] = i['run_script_input']['path'] + env['CM_RUN_CMD'] = "bash run_sdxl_harness.sh " + ("--accuracy" if env['CM_MLPERF_LOADGEN_MODE'] == "accuracy" else "") + elif "gptj" in env['CM_MODEL']: env['CM_RUN_DIR'] = i['run_script_input']['path'] if env.get('CM_MLPERF_INFERENCE_CODE_VERSION', '') == "v3.1": diff --git a/script/app-mlperf-inference-intel/run_sdxl_harness.sh b/script/app-mlperf-inference-intel/run_sdxl_harness.sh new file mode 100644 index 0000000000..3dd71ec83e --- /dev/null +++ b/script/app-mlperf-inference-intel/run_sdxl_harness.sh @@ -0,0 +1,49 @@ +#!/bin/bash + +export KMP_BLOCKTIME=1 +export KMP_AFFINITY=granularity=fine,compact,1,0 +export LD_PRELOAD=${LD_PRELOAD}:${CONDA_PREFIX}/lib/libiomp5.so +# export LD_PRELOAD=${LD_PRELOAD}:${CONDA_PREFIX}/lib/libtcmalloc.so +# + +BATCH_SIZE=${CM_MLPERF_LOADGEN_BATCH_SIZE} + +export num_physical_cores=$(lscpu -b -p=Core,Socket | grep -v '^#' | sort -u | wc -l) +num_numa=$(numactl --hardware|grep available|awk -F' ' '{ print $2 }') + + + +OUTPUT_DIR="${CM_MLPERF_OUTPUT_DIR}" +MODEL_PATH="${SDXL_CHECKPOINT_PATH}" +cd ${CM_HARNESS_CODE_ROOT} + +NUM_PROC=1 +CPUS_PER_PROC=16 +WORKERS_PER_PROC=1 +TOTAL_SAMPLE_COUNT=5000 +BATCH_SIZE=8 + +FD_MAX=$(ulimit -n -H) +ulimit -n $((FD_MAX - 1)) + +echo "Start time: $(date)" +cmd="python -u main.py \ + --dtype bfloat16 \ + --device 'cpu' \ + --scenario ${CM_MLPERF_LOADGEN_SCENARIO} \ + --mode ${LOADGEN_MODE} \ + --num-proc ${NUM_PROC} \ + --cpus-per-proc ${CPUS_PER_PROC} \ + --model-path ${MODEL_PATH} \ + --batch-size ${BATCH_SIZE} \ + --mlperf-conf ${CM_MLPERF_CONF} \ + --user-conf ${CM_MLPERF_USER_CONF} \ + --workers-per-proc ${WORKERS_PER_PROC} \ + --total-sample-count ${TOTAL_SAMPLE_COUNT} \ + --log-dir ${OUTPUT_DIR} " + +echo "$cmd" +eval "$cmd" +test $? -eq 0 || exit $? +echo "End time: $(date)" + diff --git a/script/app-mlperf-inference/_cm.yaml b/script/app-mlperf-inference/_cm.yaml index d3af778111..6d507ec54e 100644 --- a/script/app-mlperf-inference/_cm.yaml +++ b/script/app-mlperf-inference/_cm.yaml @@ -546,7 +546,6 @@ variations: CM_MLPERF_INFERENCE_TEST_QPS: "0.05" default_variations: precision: float16 - device: cuda add_deps_recursive: mlperf-inference-implementation: tags: _sdxl diff --git a/script/get-dataset-coco2014/customize.py b/script/get-dataset-coco2014/customize.py index c48f71616d..b6984bca10 100644 --- a/script/get-dataset-coco2014/customize.py +++ b/script/get-dataset-coco2014/customize.py @@ -18,7 +18,7 @@ def postprocess(i): env = i['env'] if env.get('CM_DATASET_CALIBRATION','') == "no": env['CM_DATASET_PATH_ROOT'] = os.path.join(os.getcwd(), 'install') - env['CM_DATASET_PATH'] = os.path.join(os.getcwd(), 'install', 'validation', 'data') + #env['CM_DATASET_PATH'] = os.path.join(os.getcwd(), 'install', 'validation', 'data') env['CM_DATASET_CAPTIONS_DIR_PATH'] = os.path.join(os.getcwd(), 'install', 'captions') env['CM_DATASET_LATENTS_DIR_PATH'] = os.path.join(os.getcwd(), 'install', 'latents') else: diff --git a/script/install-diffusers-from-src/_cm.json b/script/install-diffusers-from-src/_cm.json index 0b26221024..c83be299a2 100644 --- a/script/install-diffusers-from-src/_cm.json +++ b/script/install-diffusers-from-src/_cm.json @@ -78,24 +78,12 @@ "CM_GIT_CHECKOUT": "#" } }, - "cuda": { - "deps": [ - { - "names": [ - "cuda" - ], - "tags": "get,cuda,_cudnn" - } + "for-intel-mlperf-inference-v4.0-sdxl": { + "base": [ + "tag.v0.25.1" ], "env": { - "CUDA_HOME": "<<>>", - "CUDA_NVCC_EXECUTABLE": "<<>>", - "CUDNN_INCLUDE_PATH": "<<>>", - "CUDNN_LIBRARY_PATH": "<<>>", - "TORCH_CUDA_ARCH_LIST": "Ampere Ada Hopper", - "TORCH_CXX_FLAGS": "-D_GLIBCXX_USE_CXX11_ABI=1", - "USE_CUDA": "1", - "USE_CUDNN": "1" + "CM_INTEL_MLPERF_INFERENCE_v4_0_STABLE_DIFFUSION_PATCH": "yes" } }, "python.#": { @@ -123,7 +111,7 @@ }, "tag.#": { "ad": { - "pytorch-src-repo": { + "diffusers-src-repo": { "tags": "_no-recurse-submodules,_full-history" } }, diff --git a/script/install-diffusers-from-src/run.sh b/script/install-diffusers-from-src/run.sh index 3ddd6e0e7c..8d5ca084a2 100644 --- a/script/install-diffusers-from-src/run.sh +++ b/script/install-diffusers-from-src/run.sh @@ -3,9 +3,16 @@ CUR_DIR=$PWD rm -rf diffusers cp -r ${CM_DIFFUSERS_SRC_REPO_PATH} diffusers -cd diffusers test "${?}" -eq "0" || exit $? +cd diffusers rm -rf build +if [[ ${CM_INTEL_MLPERF_INFERENCE_v4_0_STABLE_DIFFUSION_PATCH} == "yes" ]]; then + wget -nc https://raw.githubusercontent.com/mlcommons/inference_results_v4.0/main/closed/Intel/code/stable-diffusion-xl/pytorch-cpu/diffusers.patch + test "${?}" -eq "0" || exit $? + git apply diffusers.patch + test "${?}" -eq "0" || exit $? +fi + ${CM_PYTHON_BIN_WITH_PATH} -m pip install . test "${?}" -eq "0" || exit $? diff --git a/script/install-ipex-from-src/_cm.json b/script/install-ipex-from-src/_cm.json index ba2fb9bde9..e41efea533 100644 --- a/script/install-ipex-from-src/_cm.json +++ b/script/install-ipex-from-src/_cm.json @@ -492,6 +492,20 @@ "tags": "get,generic,conda-package,_package.python", "version": "3.9" }, + { + "tags": "get,generic-python-lib,_package.torch,_path.https://download.pytorch.org/whl/nightly/cpu/torch-2.3.0.dev20231214%2Bcpu-cp39-cp39-linux_x86_64.whl", + "names": [ + "pip-package", + "pip-torch" + ] + }, + { + "tags": "get,generic-python-lib,_package.torchvision,_path.https://download.pytorch.org/whl/nightly/cpu/torchvision-0.18.0.dev20231214%2Bcpu-cp39-cp39-linux_x86_64.whl", + "names": [ + "pip-package", + "pip-torchvision" + ] + }, { "names": [ "conda-package", @@ -532,7 +546,8 @@ } ], "env": { - "CM_CONDA_ENV": "yes" + "CM_CONDA_ENV": "yes", + "CM_IPEX_SKIP_PYTORCH": "yes" } }, "repo.#": { From 9908101b5077d05b1f038e7f56f2db0bb21cfe4e Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Thu, 11 Jul 2024 13:05:32 +0000 Subject: [PATCH 85/93] Not run get-preprocessed-criteo in docker --- script/get-preprocessed-dataset-criteo/_cm.json | 3 +++ 1 file changed, 3 insertions(+) diff --git a/script/get-preprocessed-dataset-criteo/_cm.json b/script/get-preprocessed-dataset-criteo/_cm.json index a5b4c4e1f0..6f12c1f9af 100644 --- a/script/get-preprocessed-dataset-criteo/_cm.json +++ b/script/get-preprocessed-dataset-criteo/_cm.json @@ -4,6 +4,9 @@ "automation_uid": "5b4e0237da074764", "category": "AI/ML datasets", "cache": true, + "docker": { + "real_run": false + }, "deps": [ { "names": [ From 55c27cd729b7fbdbf9f575e460045351c24c2efc Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Thu, 11 Jul 2024 15:37:31 +0100 Subject: [PATCH 86/93] Not run preprocessed-criteo inside docker --- script/get-preprocessed-dataset-criteo/_cm.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/script/get-preprocessed-dataset-criteo/_cm.json b/script/get-preprocessed-dataset-criteo/_cm.json index 6f12c1f9af..38af6754d0 100644 --- a/script/get-preprocessed-dataset-criteo/_cm.json +++ b/script/get-preprocessed-dataset-criteo/_cm.json @@ -5,7 +5,7 @@ "category": "AI/ML datasets", "cache": true, "docker": { - "real_run": false + "run": false }, "deps": [ { From cc72507b838e9ffebdb48c7ffafe2913d08d1800 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Thu, 11 Jul 2024 15:47:40 +0100 Subject: [PATCH 87/93] skip dlrm model and data inside nvidia container --- script/app-mlperf-inference-nvidia/_cm.yaml | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 9040aeb8d5..251d46354a 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -161,9 +161,11 @@ deps: CM_MODEL: - dlrm-v2-99 - dlrm-v2-99.9 - skip_if_env: + skip_if_any_env: DLRM_DATA_PATH: - 'on' + CM_RUN_STATE_DOCKER: + - 'yes' names: - criteo-preprocessed tags: get,dataset,preprocessed,criteo @@ -174,9 +176,11 @@ deps: CM_MODEL: - dlrm-v2-99 - dlrm-v2-99.9 - skip_if_env: + skip_if_any_env: DLRM_DATA_PATH: - on + CM_RUN_STATE_DOCKER: + - 'yes' names: - dlrm-model tags: get,ml-model,dlrm,_pytorch From 159fbd70145decd57f8a4eb769f4fa08c4b489aa Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Thu, 11 Jul 2024 12:44:45 -0700 Subject: [PATCH 88/93] sdxl acuracy run fixes --- script/app-mlperf-inference-nvidia/_cm.yaml | 6 ++++-- script/app-mlperf-inference/_cm.yaml | 3 --- script/process-mlperf-accuracy/_cm.json | 3 +++ script/process-mlperf-accuracy/customize.py | 2 +- 4 files changed, 8 insertions(+), 6 deletions(-) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 36cd992b45..5434f237e8 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -394,13 +394,16 @@ variations: version: 1.13.1 sdxl: + new_env_keys: + - CM_SDXL_ACCURACY_RUN_DEVICE group: model env: CM_MODEL: stable-diffusion-xl CM_NOT_ML_MODEL_STARTING_WEIGHTS_FILENAME: "https://github.com/mlcommons/cm4mlops/blob/main/script/get-ml-model-stable-diffusion/_cm.json#L174" - CM_ML_MODEL_WEIGHT_TRANSFORMATIONS: quantization, affine fusion + CM_ML_MODEL_WEIGHT_TRANSFORMATIONS: "quantization, affine fusion" CM_ML_MODEL_INPUTS_DATA_TYPE: int32 CM_ML_MODEL_WEIGHTS_DATA_TYPE: int8 + CM_SDXL_ACCURACY_RUN_DEVICE: "gpu" deps: - tags: get,generic-python-lib,_package.diffusers names: @@ -448,7 +451,6 @@ variations: env: CM_GENERIC_PYTHON_PIP_EXTRA_INDEX_URL: "https://pypi.nvidia.com" CM_GENERIC_PYTHON_PIP_EXTRA: "--no-cache-dir" - CM_SDXL_ACCURACY_RUN_DEVICE: " gpu" - tags: get,generic-python-lib,_package.optimum names: - optimum diff --git a/script/app-mlperf-inference/_cm.yaml b/script/app-mlperf-inference/_cm.yaml index d3af778111..544246518f 100644 --- a/script/app-mlperf-inference/_cm.yaml +++ b/script/app-mlperf-inference/_cm.yaml @@ -557,9 +557,6 @@ variations: - all CM_MLPERF_ACCURACY_RESULTS_DIR: - 'on' - skip_if_env: - CM_MLPERF_IMPLEMENTATION: - - nvidia names: - mlperf-accuracy-script - coco2014-accuracy-script diff --git a/script/process-mlperf-accuracy/_cm.json b/script/process-mlperf-accuracy/_cm.json index 3eff78ae45..17a0594830 100644 --- a/script/process-mlperf-accuracy/_cm.json +++ b/script/process-mlperf-accuracy/_cm.json @@ -359,6 +359,9 @@ "coco2014-original" ], "tags": "get,dataset,coco2014,original" + }, + { + "tags": "get,generic-python-lib,_package.ijson" } ], "env": { diff --git a/script/process-mlperf-accuracy/customize.py b/script/process-mlperf-accuracy/customize.py index 0a97c08876..beeab9204d 100644 --- a/script/process-mlperf-accuracy/customize.py +++ b/script/process-mlperf-accuracy/customize.py @@ -96,7 +96,7 @@ def preprocess(i): if env.get('CM_SDXL_COMPLIANCE_IMAGES_PATH', '') != '': extra_options += f" --compliance-images-path '{env['CM_SDXL_COMPLIANCE_IMAGES_PATH']}' " - elif not os.path.exists(os.path.join(result_dir, "images")): + else: extra_options += f" --compliance-images-path {os.path.join(result_dir, 'images')} " if env.get('CM_SDXL_ACCURACY_RUN_DEVICE', '') != '': From 153098de7f1c0fb99f104591410b7d467ebd694e Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Fri, 12 Jul 2024 23:45:01 +0530 Subject: [PATCH 89/93] skeletal of server through vllm --- script/run-vllm-server/_cm.yaml | 35 +++++++++++++++++++++ script/run-vllm-server/customize.py | 49 +++++++++++++++++++++++++++++ script/run-vllm-server/run.sh | 6 ++++ 3 files changed, 90 insertions(+) create mode 100644 script/run-vllm-server/_cm.yaml create mode 100644 script/run-vllm-server/customize.py create mode 100644 script/run-vllm-server/run.sh diff --git a/script/run-vllm-server/_cm.yaml b/script/run-vllm-server/_cm.yaml new file mode 100644 index 0000000000..fbdb14064c --- /dev/null +++ b/script/run-vllm-server/_cm.yaml @@ -0,0 +1,35 @@ +uid: c3eff27c791048aa +alias: run-vllm-server + +automation_alias: script +automation_uid: 5b4e0237da074764 + +cache: false + +category: DevOps automation + +tags: +- run +- server +- vllm +- vllm-server + +input_mapping: + model: CM_VLLM_SERVER_MODEL_NAME + tp_size: CM_VLLM_SERVER_TP_SIZE + pp_size: CM_VLLM_SERVER_PP_SIZE + distributed-executor-backend: CM_VLLM_SERVER_DIST_EXEC_BACKEND + api_key: CM_VLLM_SERVER_API_KEY + +deps: + - tags: get,python3,get-python3 + version_max: "3.11" + version_max_usable: "3.11.0" + + - tags: get,ml-model,huggingface,zoo,_clone-repo + update_tags_from_env_with_prefix: + _model-stub.: + - CM_VLLM_SERVER_MODEL_NAME + enable_if_env: + CM_VLLM_SERVER_MODEL_NAME: [ on ] + - tags: get,generic-python-lib,_package.vllm diff --git a/script/run-vllm-server/customize.py b/script/run-vllm-server/customize.py new file mode 100644 index 0000000000..65288f42e5 --- /dev/null +++ b/script/run-vllm-server/customize.py @@ -0,0 +1,49 @@ +from cmind import utils +import os, subprocess + +def preprocess(i): + + os_info = i['os_info'] + + env = i['env'] + + meta = i['meta'] + + automation = i['automation'] + + cmd_args = "" + + model_name = env.get("CM_VLLM_SERVER_MODEL_NAME", False) + if not model_name: + return {'return': 1, 'error': 'Model name not specified'} + else: + cmd_args += f" --model {env['CM_ML_MODEL_PATH']} --served-model-name {model_name}" + + tp_size = env.get("CM_VLLM_SERVER_TP_SIZE", False) + if tp_size: + cmd_args += f" --tensor-parallel-size {tp_size}" + + pp_size = env.get("CM_VLLM_SERVER_PP_SIZE", False) + if pp_size: + cmd_args += f" --pipeline-parallel-size {pp_size}" + + api_key = env.get("CM_VLLM_SERVER_API_KEY", "root") + if pp_size: + cmd_args += f" --api-key {api_key}" + + distributed_executor_backend = env.get("CM_VLLM_SERVER_DIST_EXEC_BACKEND", False) + if distributed_executor_backend: + cmd_args += f" --distributed-executor-backend {distributed_executor_backend}" + + cmd = f"{env['CM_PYTHON_BIN_WITH_PATH']} -m vllm.entrypoints.openai.api_server {cmd_args}" + print(cmd) + + env['CM_VLLM_RUN_CMD'] = cmd + + return {'return':0} + +def postprocess(i): + + env = i['env'] + + return {'return':0} diff --git a/script/run-vllm-server/run.sh b/script/run-vllm-server/run.sh new file mode 100644 index 0000000000..176c323c53 --- /dev/null +++ b/script/run-vllm-server/run.sh @@ -0,0 +1,6 @@ +#!/bin/bash + +echo ${CM_VLLM_RUN_CMD} + +${CM_VLLM_RUN_CMD} +test $? -eq 0 || exit 1 From 2d69ce3bae9523cbe51181f59ae8df82ecedf81b Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Sat, 13 Jul 2024 08:54:55 +0530 Subject: [PATCH 90/93] updated python max version --- script/run-vllm-server/_cm.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/script/run-vllm-server/_cm.yaml b/script/run-vllm-server/_cm.yaml index fbdb14064c..5a4485e016 100644 --- a/script/run-vllm-server/_cm.yaml +++ b/script/run-vllm-server/_cm.yaml @@ -23,7 +23,7 @@ input_mapping: deps: - tags: get,python3,get-python3 - version_max: "3.11" + version_max: "3.11.999" version_max_usable: "3.11.0" - tags: get,ml-model,huggingface,zoo,_clone-repo From c75f4d47aa622b928f56861445ac7b8234c8d873 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Sat, 13 Jul 2024 21:45:51 +0100 Subject: [PATCH 91/93] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index ec3b7e0d0c..02656175e9 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ [![License](https://img.shields.io/badge/License-Apache%202.0-green)](LICENSE.md) [![Python Version](https://img.shields.io/badge/python-3+-blue.svg)](https://github.com/mlcommons/ck/tree/master/cm/cmind) [![Powered by CM](https://img.shields.io/badge/Powered_by-MLCommons%20CM-blue)](https://github.com/mlcommons/ck). -[![Downloads](https://static.pepy.tech/badge/cmind)](https://pepy.tech/project/cmind) +[![Downloads](https://static.pepy.tech/badge/cm4mlops)](https://pepy.tech/project/cm4mlops) [![CM script automation test](https://github.com/mlcommons/cm4mlops/actions/workflows/test-cm-scripts.yml/badge.svg)](https://github.com/mlcommons/cm4mlops/actions/workflows/test-cm-scripts.yml) [![CM script automation features test](https://github.com/mlcommons/cm4mlops/actions/workflows/test-cm-script-features.yml/badge.svg)](https://github.com/mlcommons/cm4mlops/actions/workflows/test-cm-script-features.yml) From 1150ec10010028b2b071d62687ccc2d042bb4fa2 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Mon, 15 Jul 2024 18:45:10 +0530 Subject: [PATCH 92/93] Support r4.1-dev code version --- script/app-mlperf-inference/_cm.yaml | 68 ++++++++++++++++++++++-- script/run-mlperf-inference-app/_cm.yaml | 12 +++++ 2 files changed, 75 insertions(+), 5 deletions(-) diff --git a/script/app-mlperf-inference/_cm.yaml b/script/app-mlperf-inference/_cm.yaml index 9974b30066..6ed2fed19b 100644 --- a/script/app-mlperf-inference/_cm.yaml +++ b/script/app-mlperf-inference/_cm.yaml @@ -178,7 +178,7 @@ variations: default: true default_variations: - reproducibility: r4.1_default + reproducibility: r4.1-dev_default add_deps_recursive: imagenet-accuracy-script: tags: _float32 @@ -246,6 +246,17 @@ variations: default_variations: backend: onnxruntime + nvidia-original,r4.1-dev_default: + docker: + base_image: nvcr.io/nvidia/mlperf/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public + + nvidia-original,r4.1-dev_default,gptj_: + docker: + deps: + - tags: get,ml-model,gptj,_nvidia,_fp8 + update_tags_from_env_with_prefix: + tp_size: CM_NVIDIA_TP_SIZE + nvidia-original,r4.1_default: docker: base_image: nvcr.io/nvidia/mlperf/mlperf-inference:mlpinf-v4.0-cuda12.2-cudnn8.9-x86_64-ubuntu20.04-public @@ -260,6 +271,16 @@ variations: env: BUILD_TRTLLM: 1 + nvidia-original,r4.1-dev_default,llama2-70b_: + docker: + deps: + - tags: get,ml-model,llama2-70b,_nvidia,_fp8 + update_tags_from_env_with_prefix: + _tp_size.: + - CM_NVIDIA_TP_SIZE + env: + BUILD_TRTLLM: 1 + nvidia-original,r4.1_default,llama2-70b_: docker: deps: @@ -292,7 +313,7 @@ variations: default_variations: backend: tensorrt device: cuda - reproducibility: r4.1_default + reproducibility: r4.1-dev_default group: implementation add_deps_recursive: @@ -350,7 +371,7 @@ variations: default_variations: device: cpu backend: pytorch - reproducibility: r4.1_default + reproducibility: r4.1-dev_default prehook_deps: - names: - intel @@ -375,7 +396,7 @@ variations: default_variations: device: cuda backend: openshift - reproducibility: r4.0_default + reproducibility: r4.1-dev_default prehook_deps: - names: - redhat @@ -399,7 +420,7 @@ variations: default_variations: device: qaic backend: glow - reproducibility: r4.0_default + reproducibility: r4.1-dev_default prehook_deps: - names: - kilt @@ -1236,6 +1257,24 @@ variations: env: CM_ENV_NVMITTEN_DOCKER_WHEEL_PATH: '/opt/nvmitten-0.1.3-cp38-cp38-linux_x86_64.whl' + r4.0-dev_default: + group: + reproducibility + add_deps_recursive: + nvidia-inference-common-code: + version: r3.1 + tags: _ctuning + nvidia-inference-server: + version: r3.1 + tags: _ctuning + intel-harness: + tags: _v3.1 + default_env: + CM_SKIP_SYS_UTILS: 'yes' + CM_REGENERATE_MEASURE_FILES: 'yes' + env: + CM_ENV_NVMITTEN_DOCKER_WHEEL_PATH: '/opt/nvmitten-0.1.3-cp38-cp38-linux_x86_64.whl' + r4.0_default: group: reproducibility @@ -1254,6 +1293,25 @@ variations: env: CM_ENV_NVMITTEN_DOCKER_WHEEL_PATH: '/opt/nvmitten-0.1.3-cp38-cp38-linux_x86_64.whl' + #uses public code for inference v4.1 + r4.1-dev_default: + group: + reproducibility + add_deps_recursive: + nvidia-inference-common-code: + version: r4.0 + tags: _go + nvidia-inference-server: + version: r4.0 + tags: _go + intel-harness: + tags: _v4.0 + default_env: + CM_SKIP_SYS_UTILS: 'yes' + CM_REGENERATE_MEASURE_FILES: 'yes' + env: + CM_ENV_NVMITTEN_DOCKER_WHEEL_PATH: '/opt/nvmitten-0.1.3b0-cp38-cp38-linux_x86_64.whl' + r4.1_default: group: reproducibility diff --git a/script/run-mlperf-inference-app/_cm.yaml b/script/run-mlperf-inference-app/_cm.yaml index ffbe68dcde..7ab19fa8f4 100644 --- a/script/run-mlperf-inference-app/_cm.yaml +++ b/script/run-mlperf-inference-app/_cm.yaml @@ -252,12 +252,24 @@ variations: CM_RUN_MLPERF_INFERENCE_APP_DEFAULTS: r3.1_default group: benchmark-version + r4.0-dev: + env: + CM_MLPERF_INFERENCE_VERSION: '4.0-dev' + CM_RUN_MLPERF_INFERENCE_APP_DEFAULTS: r4.0-dev_default + group: benchmark-version + r4.0: env: CM_MLPERF_INFERENCE_VERSION: '4.0' CM_RUN_MLPERF_INFERENCE_APP_DEFAULTS: r4.0_default group: benchmark-version + r4.1-dev: + env: + CM_MLPERF_INFERENCE_VERSION: '4.1-dev' + CM_RUN_MLPERF_INFERENCE_APP_DEFAULTS: r4.1-dev_default + group: benchmark-version + r4.1: env: CM_MLPERF_INFERENCE_VERSION: '4.1' From f8c1c48ceb43de9c53501e69a6b78f6483208f2e Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Mon, 15 Jul 2024 15:52:57 +0100 Subject: [PATCH 93/93] disable-nvidia-pycocotools for now(issue on macos) --- script/app-mlperf-inference/_cm.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/script/app-mlperf-inference/_cm.yaml b/script/app-mlperf-inference/_cm.yaml index 6ed2fed19b..0c12f798f7 100644 --- a/script/app-mlperf-inference/_cm.yaml +++ b/script/app-mlperf-inference/_cm.yaml @@ -1078,7 +1078,7 @@ variations: valid,retinanet: adr: - openimages-accuracy-script: + openimages-accuracy-script-disabled: tags: _nvidia-pycocotools valid:

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zKKS|ZbH~5F<@Ncy@%#T`c>O;ZUjJ{0cs&062jg#sU+)c{fA~4$>wkLi^M1VixBKg6 z@9zBUFNe?n!58%>Kk#o8OMATjG5%(?kJrBQ@}uAXZ#mVDj=ud5`|mz}?)bBR#&3GB SfAg Date: Tue, 9 Jul 2024 14:07:31 -0700 Subject: [PATCH 68/93] debug statement --- script/get-ml-model-llama2/run-nvidia.sh | 2 ++ 1 file changed, 2 insertions(+) diff --git a/script/get-ml-model-llama2/run-nvidia.sh b/script/get-ml-model-llama2/run-nvidia.sh index adf37dd174..2e576280b5 100644 --- a/script/get-ml-model-llama2/run-nvidia.sh +++ b/script/get-ml-model-llama2/run-nvidia.sh @@ -1,5 +1,7 @@ #!/bin/bash +echo "Set tp size is ${CM_NVIDIA_TP_SIZE}" + if [[ ! -e ${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/Llama2/Llama-2-70b-chat-hf ]]; then mkdir -p ${CM_NVIDIA_MLPERF_SCRATCH_PATH}/models/Llama2/Llama-2-70b-chat-hf cd ${LLAMA2_CHECKPOINT_PATH} From efd63b641328cc18c5a3ae9a411fbd4c70c30a4b Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Tue, 9 Jul 2024 21:48:23 -0700 Subject: [PATCH 69/93] fp8 chackpoint path matched with inference result path --- script/app-mlperf-inference-nvidia/customize.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py index f1fa039fa0..7381ceb5b5 100644 --- a/script/app-mlperf-inference-nvidia/customize.py +++ b/script/app-mlperf-inference-nvidia/customize.py @@ -193,7 +193,7 @@ def preprocess(i): # path to the dataset file target_data_file_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'open_orca','open_orca_gpt4_tokenized_llama.sampled_24576.pkl') tmp_tp_size = env['CM_NVIDIA_TP_SIZE'] - fp8_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'],'models','Llama2','fp8-quantized-ammo',f'Llama2-70b-chat-hf-tp{tmp_tp_size}pp1-fp8') + fp8_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'],'models','Llama2','fp8-quantized-ammo',f'llama2-70b-chat-hf-tp{tmp_tp_size}pp1-fp8') if not os.path.exists(target_data_file_path): if env.get('CM_NVIDIA_LLAMA_DATASET_FILE_PATH', '') == '': return {'return': 1, 'error': 'Please specify the path to LLAMA2 dataset (pickle file)'} From 4fc543ffd740dd45255fe14ea2e307ca66ce25e0 Mon Sep 17 00:00:00 2001 From: anandhu-eng Date: Tue, 9 Jul 2024 22:27:23 -0700 Subject: [PATCH 70/93] seperate fp8 path for tp1 --- script/app-mlperf-inference-nvidia/customize.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py index 7381ceb5b5..bc76e8ab55 100644 --- a/script/app-mlperf-inference-nvidia/customize.py +++ b/script/app-mlperf-inference-nvidia/customize.py @@ -193,7 +193,10 @@ def preprocess(i): # path to the dataset file target_data_file_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'open_orca','open_orca_gpt4_tokenized_llama.sampled_24576.pkl') tmp_tp_size = env['CM_NVIDIA_TP_SIZE'] - fp8_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'],'models','Llama2','fp8-quantized-ammo',f'llama2-70b-chat-hf-tp{tmp_tp_size}pp1-fp8') + if tmp_tp_size == 1: + os.path.join(env['MLPERF_SCRATCH_PATH'],'models','Llama2','fp8-quantized-ammo',f'llama2-70b-chat-hf-tp{tmp_tp_size}pp1-fp8-02072024') + else: + fp8_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'],'models','Llama2','fp8-quantized-ammo',f'llama2-70b-chat-hf-tp{tmp_tp_size}pp1-fp8') if not os.path.exists(target_data_file_path): if env.get('CM_NVIDIA_LLAMA_DATASET_FILE_PATH', '') == '': return {'return': 1, 'error': 'Please specify the path to LLAMA2 dataset (pickle file)'} From 4bf47ecebd31e1de69baf94bb0a16624f5d99f7b Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Wed, 10 Jul 2024 11:33:39 +0530 Subject: [PATCH 71/93] fixed tp size comparing with int --- script/app-mlperf-inference-nvidia/customize.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py index bc76e8ab55..52fea47eb4 100644 --- a/script/app-mlperf-inference-nvidia/customize.py +++ b/script/app-mlperf-inference-nvidia/customize.py @@ -193,7 +193,7 @@ def preprocess(i): # path to the dataset file target_data_file_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'open_orca','open_orca_gpt4_tokenized_llama.sampled_24576.pkl') tmp_tp_size = env['CM_NVIDIA_TP_SIZE'] - if tmp_tp_size == 1: + if tmp_tp_size == "1": os.path.join(env['MLPERF_SCRATCH_PATH'],'models','Llama2','fp8-quantized-ammo',f'llama2-70b-chat-hf-tp{tmp_tp_size}pp1-fp8-02072024') else: fp8_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'],'models','Llama2','fp8-quantized-ammo',f'llama2-70b-chat-hf-tp{tmp_tp_size}pp1-fp8') From fa56f777a8acb348609874ad5b75b38b59053074 Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Wed, 10 Jul 2024 13:02:37 +0530 Subject: [PATCH 72/93] Fixed assigment issue --- script/app-mlperf-inference-nvidia/customize.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py index 52fea47eb4..97f3db0f24 100644 --- a/script/app-mlperf-inference-nvidia/customize.py +++ b/script/app-mlperf-inference-nvidia/customize.py @@ -194,7 +194,7 @@ def preprocess(i): target_data_file_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'preprocessed_data', 'open_orca','open_orca_gpt4_tokenized_llama.sampled_24576.pkl') tmp_tp_size = env['CM_NVIDIA_TP_SIZE'] if tmp_tp_size == "1": - os.path.join(env['MLPERF_SCRATCH_PATH'],'models','Llama2','fp8-quantized-ammo',f'llama2-70b-chat-hf-tp{tmp_tp_size}pp1-fp8-02072024') + fp8_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'],'models','Llama2','fp8-quantized-ammo',f'llama2-70b-chat-hf-tp{tmp_tp_size}pp1-fp8-02072024') else: fp8_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'],'models','Llama2','fp8-quantized-ammo',f'llama2-70b-chat-hf-tp{tmp_tp_size}pp1-fp8') if not os.path.exists(target_data_file_path): From 0fd15bdd876da916910befba3f19f21d2a4154fe Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Wed, 10 Jul 2024 13:40:19 +0100 Subject: [PATCH 73/93] Fixes #101, bug in picking up inference results --- script/get-mlperf-inference-nvidia-common-code/_cm.json | 2 +- script/get-mlperf-inference-results/_cm.json | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/script/get-mlperf-inference-nvidia-common-code/_cm.json b/script/get-mlperf-inference-nvidia-common-code/_cm.json index 7b47209cad..d1f25926d7 100644 --- a/script/get-mlperf-inference-nvidia-common-code/_cm.json +++ b/script/get-mlperf-inference-nvidia-common-code/_cm.json @@ -11,7 +11,7 @@ "names": [ "mlperf-inference-results" ], - "tags": "get,mlperf,inference,results", + "tags": "get,mlperf,inference,results,official", "inherit_variation_tags": true } ], diff --git a/script/get-mlperf-inference-results/_cm.json b/script/get-mlperf-inference-results/_cm.json index 34bae8885a..cf6e10b1b0 100644 --- a/script/get-mlperf-inference-results/_cm.json +++ b/script/get-mlperf-inference-results/_cm.json @@ -22,7 +22,7 @@ "env": { "CM_GIT_CHECKOUT_PATH_ENV_NAME": "CM_MLPERF_INFERENCE_RESULTS_PATH" }, - "extra_cache_tags": "mlperf,inference,results" + "extra_cache_tags": "mlperf,inference,results,official" } ], "deps": [ From cef66fdd1799612dfe23f5d880f4f4101b8703a6 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Wed, 10 Jul 2024 14:32:16 +0100 Subject: [PATCH 74/93] Added dynamic gpu memory size support for nvidia mlperf inference --- script/app-mlperf-inference-nvidia/_cm.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/script/app-mlperf-inference-nvidia/_cm.yaml b/script/app-mlperf-inference-nvidia/_cm.yaml index 0eff6d474e..36cd992b45 100644 --- a/script/app-mlperf-inference-nvidia/_cm.yaml +++ b/script/app-mlperf-inference-nvidia/_cm.yaml @@ -982,6 +982,10 @@ variations: group: device-memory env: CM_NVIDIA_GPU_MEMORY: "80" + gpu_memory.#: + group: device-memory + env: + CM_NVIDIA_GPU_MEMORY: "#" singlestream,resnet50: env: From 5efaadce76e31c761497c1498920ccbb632b4669 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Wed, 10 Jul 2024 13:57:03 +0000 Subject: [PATCH 75/93] Final fixes for intel mlperf inference dlrm (Run now works, expected accuracy) --- script/app-mlperf-inference-intel/run_dlrm_v2_harness.sh | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/script/app-mlperf-inference-intel/run_dlrm_v2_harness.sh b/script/app-mlperf-inference-intel/run_dlrm_v2_harness.sh index e172104df9..65530c621e 100644 --- a/script/app-mlperf-inference-intel/run_dlrm_v2_harness.sh +++ b/script/app-mlperf-inference-intel/run_dlrm_v2_harness.sh @@ -15,6 +15,7 @@ export CPUS_FOR_LOADGEN=1 export BATCH_SIZE=100 export DNNL_MAX_CPU_ISA=AVX512_CORE_AMX +export LD_PRELOAD=${CM_CONDA_LIB_PATH}/libiomp5.so export KMP_BLOCKTIME=1 export OMP_NUM_THREADS=$CPUS_PER_INSTANCE @@ -37,7 +38,6 @@ export EXTRA_OPS="$extra_option" model_path="$MODEL_DIR/dlrm-multihot-pytorch.pt" profile=dlrm-multihot-pytorch -common_opt="--config ${CM_MLPERF_CONF}" cd ${CM_HARNESS_CODE_ROOT} OUTPUT_DIR="${CM_MLPERF_OUTPUT_DIR}" @@ -49,6 +49,7 @@ fi USER_CONF="${CM_MLPERF_USER_CONF}" cmd="python -u python/runner.py --profile $profile $common_opt --model dlrm --model-path $model_path \ +--config ${CM_MLPERF_CONF} --user-config ${CM_MLPERF_USER_CONF} \ --dataset multihot-criteo --dataset-path $DATA_DIR --output $OUTPUT_DIR $EXTRA_OPS \ --max-ind-range=40000000 --samples-to-aggregate-quantile-file=${PWD}/tools/dist_quantile.txt \ --max-batchsize=$BATCH_SIZE --scenario=${CM_MLPERF_LOADGEN_SCENARIO} ${accuracy_opt}" From 28e5e05781ab35fd74d2c4972ec113136a4f8573 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Wed, 10 Jul 2024 15:35:23 +0100 Subject: [PATCH 76/93] _lfs needed for tensorrt-llm --- script/get-ml-model-gptj/_cm.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/script/get-ml-model-gptj/_cm.json b/script/get-ml-model-gptj/_cm.json index d7852c4039..38629a793b 100644 --- a/script/get-ml-model-gptj/_cm.json +++ b/script/get-ml-model-gptj/_cm.json @@ -215,7 +215,7 @@ }, "deps": [ { - "tags": "get,git,repo,_repo.https://github.com/NVIDIA/TensorRT-LLM.git,_sha.0ab9d17a59c284d2de36889832fe9fc7c8697604", + "tags": "get,git,repo,_lfs,_repo.https://github.com/NVIDIA/TensorRT-LLM.git,_sha.0ab9d17a59c284d2de36889832fe9fc7c8697604", "extra_cache_tags": "tensorrt-llm", "env": { "CM_GIT_CHECKOUT_PATH_ENV_NAME": "CM_TENSORRT_LLM_CHECKOUT_PATH" From 131ff94bf0a2b86c7ba45613a17abb2ef25440eb Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Thu, 11 Jul 2024 03:52:19 +0530 Subject: [PATCH 77/93] Fix uninitialized variable in run-docker-container --- script/run-docker-container/customize.py | 1 + 1 file changed, 1 insertion(+) diff --git a/script/run-docker-container/customize.py b/script/run-docker-container/customize.py index 90ebd6bb12..1746280267 100644 --- a/script/run-docker-container/customize.py +++ b/script/run-docker-container/customize.py @@ -194,6 +194,7 @@ def postprocess(i): x1 = '' x2 = '' + run_cmd_prefix = "" if env.get('CM_DOCKER_INTERACTIVE_MODE', '') in ['yes', 'True', True]: run_cmd_prefix = "(" x1 = '-it' From 1d82b29c71c80110d9f6375caa390eab1ff58538 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Thu, 11 Jul 2024 03:57:36 +0530 Subject: [PATCH 78/93] Improve docker version detect --- script/get-docker/customize.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/script/get-docker/customize.py b/script/get-docker/customize.py index c4a99f1a23..d030a11432 100644 --- a/script/get-docker/customize.py +++ b/script/get-docker/customize.py @@ -34,7 +34,7 @@ def preprocess(i): return {'return':0} def detect_version(i): - r = i['automation'].parse_version({'match_text': r'Docker version\s*([\d.]+)', + r = i['automation'].parse_version({'match_text': r'[Docker|podman] version\s*([\d.]+)', 'group_number': 1, 'env_key':'CM_DOCKER_VERSION', 'which_env':i['env']}) From e9f3128dede41c43dcb27c78b41b4a97177ee4d8 Mon Sep 17 00:00:00 2001 From: ANANDHU S <71482562+anandhu-eng@users.noreply.github.com> Date: Thu, 11 Jul 2024 11:37:13 +0530 Subject: [PATCH 79/93] Added dynamic variation tag --- script/app-mlperf-inference/_cm.yaml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/script/app-mlperf-inference/_cm.yaml b/script/app-mlperf-inference/_cm.yaml index 57a2caea55..4e8597b4c0 100644 --- a/script/app-mlperf-inference/_cm.yaml +++ b/script/app-mlperf-inference/_cm.yaml @@ -264,6 +264,9 @@ variations: docker: deps: - tags: get,ml-model,llama2-70b,_nvidia,_fp8 + update_tags_from_env_with_prefix: + _tp_size.: + - CM_NVIDIA_TP_SIZE env: BUILD_TRTLLM: 1 From 9e00e111f9e2633b8ba2d7f2f66d5a9898b1558f Mon Sep 17 00:00:00 2001 From: ANANDHU S 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