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CONTRIBUTING.md
- Changes are consistent with the [Coding Style](#c-coding-style). - Run the [unit tests](#running-unit-tests). ## How to become a contributor and submit your own code ![Screen Shot 2022-08-30 at 7 27 04 PM](https://user-images.githubusercontent.com/42785357/187579207-9924eb32-da31-47bb-99f9-d8bf1aa238ad.png) ### Typical Pull Request Workflow - **1. New PR** - As a contributor, you submit a New PR on GitHub.
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ci/official/envs/macos_arm64
TFCI_MACOS_BAZEL_TEST_DIR_PATH="/Volumes/BuildData/bazel_output" TFCI_OUTPUT_DIR=build_output TFCI_WHL_BAZEL_TEST_ENABLE=1 TFCI_WHL_SIZE_LIMIT=240M TFCI_WHL_SIZE_LIMIT_ENABLE=1 # 3.11 is the system python on our images case $TFCI_PYTHON_VERSION in 3.11) TFCI_MACOS_PYENV_INSTALL_ENABLE=0 ;; *) TFCI_MACOS_PYENV_INSTALL_ENABLE=1 ;;
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SECURITY.md
running the `tf.train.Server`. ## Untrusted inputs during training and prediction TensorFlow supports a wide range of input data formats. For example it can process images, audio, videos, and text. There are several modules specialized in taking those formats, modifying them, and/or converting them to intermediate formats that can be processed by TensorFlow.
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ci/official/envs/macos_x86
TFCI_MACOS_TWINE_INSTALL_ENABLE=1 TFCI_OUTPUT_DIR=build_output TFCI_WHL_BAZEL_TEST_ENABLE=1 TFCI_WHL_SIZE_LIMIT=255M TFCI_WHL_SIZE_LIMIT_ENABLE=1 # 3.11 is the system python on our images case $TFCI_PYTHON_VERSION in 3.11) TFCI_MACOS_PYENV_INSTALL_ENABLE=0 TFCI_MACOS_UPGRADE_PYENV_ENABLE=0 ;; *) TFCI_MACOS_PYENV_INSTALL_ENABLE=1 TFCI_MACOS_UPGRADE_PYENV_ENABLE=1 ;;
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ci/devinfra/docker_windows/Dockerfile
sdkmanager 'cmake;3.10.2.4988404'; \ sdkmanager 'cmake;3.18.1'; \ sdkmanager 'cmake;3.22.1'; \ sdkmanager 'cmake;3.6.4111459'; \ sdkmanager 'emulator'; \ sdkmanager 'system-images;android-27;google_apis;x86'; \ sdkmanager 'sources;android-27'; \ sdkmanager 'extras;google;Android_Emulator_Hypervisor_Driver'; \ sdkmanager 'extras;google;auto'; \
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RELEASE.md
ops. * Add `tf.image.psnr`, `tf.image.ssim`, `tf.image.ssim_multiscale`, `tf.image.image_gradients`, `tf.image.sobel_edges`. * Add links to https://js.tensorflow.org. * Fix non-uniformity of orthogonal matrices. * Fix bug where multi-image Estimator eval summaries were not displayed correctly.
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# different compilation methods. E.g. for a PR to test a new CUDA version, set # the CACHEBUSTER to the PR number. build --action_env=CACHEBUSTER=20220325 # Use Python 3.X as installed in container image build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3" build --python_path="/usr/local/bin/python3" # Build TensorFlow v2 build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1
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README.md
<div align="center"> <img src="https://www.tensorflow.org/images/tf_logo_horizontal.png"> </div> [![Python](https://img.shields.io/pypi/pyversions/tensorflow.svg)](https://badge.fury.io/py/tensorflow) [![PyPI](https://badge.fury.io/py/tensorflow.svg)](https://badge.fury.io/py/tensorflow) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4724125.svg)](https://doi.org/10.5281/zenodo.4724125)
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LICENSE
liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor
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ci/official/containers/linux_arm64/cuda.packages.txt
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation libcudnn8=8.9.6.50-1+cuda12.2 libcudnn8-dev=8.9.6.50-1+cuda12.2 # This can be removed once NVIDIA publishes a cuda-12.3.2 Docker image. # For now it ensures that we install at least version 12.3.107 of PTXAS, # since 12.3.103 has a bug.
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