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September 15, 2021 08:52
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Keras build test notebook.ipynb
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| { | |
| "nbformat": 4, | |
| "nbformat_minor": 0, | |
| "metadata": { | |
| "colab": { | |
| "name": "Keras build test notebook.ipynb", | |
| "provenance": [], | |
| "authorship_tag": "ABX9TyPNxmJOBRAeYQDmjFH4SDvG", | |
| "include_colab_link": true | |
| }, | |
| "kernelspec": { | |
| "name": "python3", | |
| "display_name": "Python 3" | |
| }, | |
| "language_info": { | |
| "name": "python" | |
| } | |
| }, | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "view-in-github", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "<a href=\"https://colab.research.google.com/gist/AdityaKane2001/df4086c7265a1b3519ffe65ea61d5ec1/keras-build-test-notebook.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "X8Hsz4fIeWu8" | |
| }, | |
| "source": [ | |
| "# Keras build test notebook\n", | |
| "\n", | |
| "Keras has taken a step towards improving developer experience by hosting the codebase in a separate repository. This drastically improves testing times and is a catalyst for rapid open source development. \n", | |
| "\n", | |
| "This notebook is a ready-to-use notebook for testing of Keras modules. This notebook does the following things:\n", | |
| "1. Sets up the environment (venv, bazel, etc.)\n", | |
| "2. Clones your fork.\n", | |
| "3. Runs tests.\n", | |
| "\n", | |
| "You can specify which tests to run. A sample test is shown here. It is not recommended to run all tests in Colab, since it takes a lot of time. \n", | |
| "\n", | |
| "For more information, see [CONTRIBUTING.md](https://github.com/keras-team/keras/blob/master/CONTRIBUTING.md) and [bazel test docs](https://docs.bazel.build/versions/main/skylark/testing.html)." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "UDPd6H8UhDZ9" | |
| }, | |
| "source": [ | |
| "Enter your GitHub username and name of the branch to be cloned here. " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "cellView": "form", | |
| "id": "d22DfwQAeG-0" | |
| }, | |
| "source": [ | |
| "USERNAME = 'keras-team' #@param {type:\"string\"}\n", | |
| "BRANCH = 'master' #@param {type:\"string\"}" | |
| ], | |
| "execution_count": 1, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "paUZ0KxPkI0u" | |
| }, | |
| "source": [ | |
| "## Setup" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "57JI0dWxd357" | |
| }, | |
| "source": [ | |
| "%%capture\n", | |
| "\n", | |
| "#Install bazel\n", | |
| "BAZEL_VERSION = '4.2.1'\n", | |
| "!wget https://github.com/bazelbuild/bazel/releases/download/{BAZEL_VERSION}/bazel-{BAZEL_VERSION}-installer-linux-x86_64.sh\n", | |
| "!chmod +x bazel-{BAZEL_VERSION}-installer-linux-x86_64.sh\n", | |
| "!./bazel-{BAZEL_VERSION}-installer-linux-x86_64.sh\n", | |
| "!bazel\n", | |
| "\n", | |
| "# Reinstall venv\n", | |
| "!apt-get update\n", | |
| "!apt-get install python3.7-dev python3.7-venv\n", | |
| "\n", | |
| "# activate virtual env\n", | |
| "!mkdir keras_env\n", | |
| "!python3 -m venv keras_env\n", | |
| "!source keras_env/bin/activate\n", | |
| "\n", | |
| "# Clone repo and install requirements\n", | |
| "!git clone -b $BRANCH https://github.com/$USERNAME/keras.git\n", | |
| "%cd keras\n", | |
| "!pip install -r requirements.txt\n", | |
| "!pip uninstall -y keras-nightly\n", | |
| "!pip install --upgrade tf-nightly" | |
| ], | |
| "execution_count": 2, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "I_CYJgFVkKOw" | |
| }, | |
| "source": [ | |
| "## Tests\n", | |
| "\n", | |
| "Exclude the `.py` while metioning the file path.\n", | |
| "\n", | |
| "Syntax: `!bazel test [module path 1] [module path 2] [...]`" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "AngQoIlueVnc", | |
| "outputId": "5e7b5d35-4516-4a60-9341-2486007c916e" | |
| }, | |
| "source": [ | |
| "!bazel test keras/layers/convolutional_test" | |
| ], | |
| "execution_count": 3, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Starting local Bazel server and connecting to it...\n", | |
| "WARNING: ignoring LD_PRELOAD in environment.\n", | |
| "\u001b[35mWARNING: \u001b[0mThe following configs were expanded more than once: [v2]. For repeatable flags, repeats are counted twice and may lead to unexpected behavior.\n", | |
| "\u001b[32mINFO: \u001b[0mOptions provided by the client:\n", | |
| " Inherited 'common' options: --isatty=1 --terminal_columns=0\n", | |
| "\u001b[32mINFO: \u001b[0mReading rc options for 'test' from /content/keras/.bazelrc:\n", | |
| " Inherited 'build' options: --apple_platform_type=macos --define open_source_build=true --define=use_fast_cpp_protos=false --define=tensorflow_enable_mlir_generated_gpu_kernels=0 --define=allow_oversize_protos=true --spawn_strategy=standalone -c opt --announce_rc --define=grpc_no_ares=true --config=short_logs --config=v2\n", | |
| "\u001b[32mINFO: \u001b[0mReading rc options for 'test' from /content/keras/.bazelrc:\n", | |
| " 'test' options: --define open_source_build=true --define=use_fast_cpp_protos=false --config=v2\n", | |
| "\u001b[32mINFO: \u001b[0mFound applicable config definition build:short_logs in file /content/keras/.bazelrc: --output_filter=DONT_MATCH_ANYTHING\n", | |
| "\u001b[32mINFO: \u001b[0mFound applicable config definition build:v2 in file /content/keras/.bazelrc: --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1\n", | |
| "\u001b[32mINFO: \u001b[0mFound applicable config definition build:v2 in file /content/keras/.bazelrc: --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1\n", | |
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| "\u001b[32m[208 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[208 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[208 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[208 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[208 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[208 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[208 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[208 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[208 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[208 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[208 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[209 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[209 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[209 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[209 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[209 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[209 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[209 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[209 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[209 / 211]\u001b[0m 2 actions running\n", | |
| "\u001b[32m[210 / 211]\u001b[0m 1 / 1 tests;\u001b[0m 1 action\u001b[0m; last test: \u001b[32m.../layers:convolutional_test\u001b[0m\u001b[0m\n", | |
| "Target //keras/layers:convolutional_test up-to-date:\n", | |
| " bazel-bin/keras/layers/convolutional_test\n", | |
| "\u001b[32mINFO: \u001b[0mElapsed time: 335.844s, Critical Path: 47.44s\n", | |
| "\u001b[32mINFO: \u001b[0m211 processes: 8 internal, 203 local.\n", | |
| "\u001b[32mINFO:\u001b[0m Build completed successfully, 211 total actions\n", | |
| "//keras/layers:convolutional_test \u001b[0m\u001b[32mPASSED\u001b[0m in 32.5s\n", | |
| " Stats over 8 runs: max = 32.5s, min = 18.7s, avg = 22.9s, dev = 4.1s\n", | |
| "\n", | |
| "Executed 1 out of 1 test: 1 test passes.\n", | |
| "\u001b[32mINFO:\u001b[0m Build completed successfully, 211 total actions\n", | |
| "\u001b[0m" | |
| ] | |
| } | |
| ] | |
| } | |
| ] | |
| } |
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