Update the TFLM CI docs based on the new way to build a docker image.
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<!-- mdformat off(b/169948621#comment2) -->
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<!--
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<!--
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Semi-automated TOC generation with instructions from
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Semi-automated TOC generation with instructions from
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https://github.com/ekalinin/github-markdown-toc#auto-insert-and-update-toc
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https://github.com/ekalinin/github-markdown-toc#auto-insert-and-update-toc
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@ -307,31 +309,42 @@ that can be expanded and improved as necessary.
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yapf log_parser.py -i --style='{based_on_style: pep8, indent_width: 2}'
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yapf log_parser.py -i --style='{based_on_style: pep8, indent_width: 2}'
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```
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```
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# Continuous Integration System
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# Continuous Integration System
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* As a contributor, please make sure that the TfLite Micro build is green.
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* As a contributor, please make sure that the TfLite Micro build is green.
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You can click on the details link to see what the errors are:
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You can click on the details link to see what the errors are:
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[](https://storage.googleapis.com/tensorflow-kokoro-build-badges/tflite-micro.html)
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[](https://storage.googleapis.com/tensorflow-kokoro-build-badges/tflite-micro.html)
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* Most of the tests that are run as part of the CI are with the
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[micro/tools/ci_build/test_all.sh](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/micro/tools/ci_build/test_all.sh)
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script.
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* There are a few additional tests that use bazel that are not
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captured by the `test_all.sh` script.
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* If an error is not reproducible on your development machine, you can
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recreate the docker container that is used on the CI servers with the
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following commands (run from the root of the tensorflow github repo):
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* Tests that are run as part of the CI are with the
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[micro/tools/ci_build/test_all.sh](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/micro/tools/ci_build/test_all.sh)
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script when run with the `GITHUB_PRESUBMIT` command line parameter:
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```
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```
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mkdir /tmp/tflm-docker
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tensorflow/lite/micro/tools/ci_build/test_all.sh GITHUB_PRESUBMIT
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docker build -f tensorflow/tools/ci_build/Dockerfile.micro -t tflm /tmp/tflm-docker
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docker run -v `pwd`:/tensorflow -it tflm bash
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```
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```
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The `docker run` command is mounting the tensorflow repository on your
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* If an error is not reproducible on your development machine, you can
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machine to the docker containter. As a result, any changes made within the
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recreate the docker container that is used on the CI servers.
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docker container will also be reflected in the directory in the host
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machine.
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* First, create a build a TFLM docker image with:
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```
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tensorflow/tools/ci_build/ci_build.sh micro bash
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```
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The second parameter to the ci_build.sh script is not important. It can
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be any command.
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* Next, mount the tensorflow repo on your machine to the docker container.
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Please be careful (or make a separate clone of tensorflow) since any
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changes docker container will also be reflected in the directory in the
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host machine.
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```
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docker run -v `pwd`:/tensorflow -it tf_ci.micro bash
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```
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* Within the docker container, you can now run the TFLM test script, or
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any other command that you would like to test. For example, the following
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commands will run all of the TFLM checks:
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```
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# cd tensorflow
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# tensorflow/lite/micro/tools/ci_build/test_all.sh GITHUB_PRESUBMIT
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```
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