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metrics: Add Dockerfile for ResNet50 int8
This PR adds the dockerfile for ResNet50 int8 benchmark. Signed-off-by: Gabriela Cervantes <gabriela.cervantes.tellez@intel.com>
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tests/metrics/machine_learning
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# Copyright (c) 2023 Intel Corporation
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#
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# SPDX-License-Identifier: Apache-2.0
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# Usage: FROM [image name]
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FROM ubuntu:20.04
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ENV DEBIAN_FRONTEND=noninteractive
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# Version of the Dockerfile
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LABEL DOCKERFILE_VERSION="1.0"
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RUN apt-get update && \
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apt-get install -y --no-install-recommends wget nano curl build-essential git && \
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apt-get install -y python3.8 python3-pip && \
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pip install intel-tensorflow-avx512==2.8.0 && \
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pip install protobuf==3.20.* && \
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wget https://storage.googleapis.com/intel-optimized-tensorflow/models/v1_8/resnet50_int8_pretrained_model.pb && \
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git clone https://github.com/IntelAI/models.git
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CMD ["/bin/bash"]
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@ -11,7 +11,7 @@ SCRIPT_PATH=$(dirname "$(readlink -f "$0")")
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source "${SCRIPT_PATH}/../lib/common.bash"
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IMAGE="docker.io/library/resnet50int8:latest"
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DOCKERFILE="${SCRIPT_PATH}/resnet50_int8/Dockerfile"
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DOCKERFILE="${SCRIPT_PATH}/resnet50_int8_dockerfile/Dockerfile"
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tensorflow_file=$(mktemp tensorflowresults.XXXXXXXXXX)
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NUM_CONTAINERS="$1"
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TIMEOUT="$2"
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@ -22,7 +22,7 @@ TESTDIR="${TESTDIR:-/testdir}"
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dst_dir="/host"
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src_dir=$(mktemp --tmpdir -d tensorflowresnet50int8.XXXXXXXXXX)
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MOUNT_OPTIONS="type=bind,src=$src_dir,dst=$dst_dir,options=rbind:ro"
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start_script="resnet50_start.sh"
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start_script="resnet50int8_start.sh"
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# CMD points to the script that starts the workload
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# export DNNL_MAX_CPU_ISA=AVX512_CORE_AMX
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CMD="export KMP_AFFINITY=granularity=fine,verbose,compact && export OMP_NUM_THREADS=16 && $dst_dir/$start_script"
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