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# Steps to generate a container with Intel® Optimization for TensorFlow | ||
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This guide will help you generate a container with Intel's r2.8 branch. | ||
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## Steps: | ||
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1. Clone intel-tensorflow r2.8 branch: | ||
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``` | ||
$ git clone https://github.com/Intel-tensorflow/tensorflow.git --branch=r2.8 --single-branch | ||
$ cd tensorflow | ||
$ git checkout v2.8.0 | ||
# Run "git log" and check for the right git hash | ||
``` | ||
2. Go to the directory that has Intel mkl docker files: | ||
``` | ||
$ cd tensorflow/tools/ci_build/linux/mkl/ | ||
``` | ||
3. Run build-dev-container.sh by passing the following env parameters: | ||
For AVX containers: | ||
``` | ||
$ env ROOT_CONTAINER=tensorflow/tensorflow \ | ||
ROOT_CONTAINER_TAG=devel \ | ||
TF_DOCKER_BUILD_DEVEL_BRANCH=v2.8.0 \ | ||
TF_REPO=https://github.com/Intel-tensorflow/tensorflow \ | ||
TF_DOCKER_BUILD_VERSION=2.8.0 \ | ||
BUILD_AVX_CONTAINERS=yes \ | ||
BUILD_TF_V2_CONTAINERS=yes \ | ||
BAZEL_VERSION=4.2.1 \ | ||
ENABLE_SECURE_BUILD=yes \ | ||
ENABLE_HOROVOD=yes \ | ||
./build-dev-container.sh > ./container_build.log | ||
``` | ||
For AVX512 containers: | ||
``` | ||
$ env ROOT_CONTAINER=tensorflow/tensorflow \ | ||
ROOT_CONTAINER_TAG=devel \ | ||
TF_DOCKER_BUILD_DEVEL_BRANCH=v2.8.0 \ | ||
TF_REPO=https://github.com/Intel-tensorflow/tensorflow \ | ||
TF_DOCKER_BUILD_VERSION=2.8.0 \ | ||
BUILD_SKX_CONTAINERS=yes \ | ||
BUILD_TF_V2_CONTAINERS=yes \ | ||
BAZEL_VERSION=4.2.1 \ | ||
ENABLE_SECURE_BUILD=yes \ | ||
ENABLE_HOROVOD=yes \ | ||
./build-dev-container.sh > ./container_build.log | ||
``` | ||
4. Open a second terminal session at the same location and run `tail -f container_build.log` to monitor container build progress | ||
or wait until the build finishes and then open the log file <container_build.log> ... | ||
``` | ||
INFO: Build completed successfully, 18811 total actions. | ||
``` | ||
Below output indicates that the container has intel-optimized tensorflow: | ||
``` | ||
PASS: MKL enabled test in <intermediate container name> | ||
``` | ||
5. Check if the image was built successfully and tag it: | ||
AVX container: | ||
``` | ||
$ docker images | ||
intel-mkl/tensorflow:2.8.0-devel-mkl | ||
$ docker tag intel-mkl/tensorflow:2.8.0-devel-mkl intel/intel-optimized-tensorflow:2.8.0-devel-mkl | ||
``` | ||
AVX512 container: | ||
``` | ||
$ docker images | ||
intel-mkl/tensorflow:2.8.0-avx512-devel-mkl | ||
$ docker tag intel-mkl/tensorflow:2.8.0-avx512-devel-mkl intel/intel-optimized-tensorflow:2.8.0-avx512-devel-mkl | ||
``` |
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Intel® Optimized Tensorflow Container | ||
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LEGAL NOTICE: Your use of this software and any required dependent software (the “Software Package”) is subject to the terms | ||
and conditions of the software license agreements for the Software Package, which may also include notices, | ||
disclaimers, or license terms for third party or open source software included in or with the Software Package, | ||
and your use indicates your acceptance of all such terms. Please refer to the “third-party-programs.txt” or other | ||
similarly-named text file included with the Software Package for additional details. | ||
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Please refer to the | ||
https://github.com/Intel-tensorflow/tensorflow/blob/v2.8.0/third_party_programs_license/third-party-programs.txt and | ||
https://github.com/Intel-tensorflow/tensorflow/blob/v2.8.0/third_party_programs_license/oneDNN-THIRD-PARTY-PROGRAMS | ||
for additional details. |
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