# manylinux2014-compatible packages.
COPY builder.devtoolset/fixlinks_aarch64.sh /fixlinks.sh
COPY builder.devtoolset/rpm-patch.sh /rpm-patch.sh
COPY builder.devtoolset/build_devtoolset.sh /build_devtoolset.sh
COPY builder.devtoolset/gcc9-fixups.patch /gcc9-fixups.patch
COPY builder.devtoolset/stringop_trunc.patch /stringop_trunc.patch

RUN /build_devtoolset.sh devtoolset-10 /dt10

# Build later version of patchelf that is not so buggy

libreadline-dev
libsqlite3-dev
libssl-dev
libxml2-dev
libxmlsec1-dev
llvm
make
openssl
tk-dev
wget
xz-utils
zlib1g-dev
git

# Packages needed to build devtoolset
file
flex
g++
make
patch
rpm2cpio
unar
wget
xz-utils
cpio
gawk
texinfo

    $old_path = [Environment]::GetEnvironmentVariable(\"PATH\", \"Machine\"); \
    [Environment]::SetEnvironmentVariable(\"PATH\", $old_path + \";C:\VS\VC\Tools\MSVC\14.33.31629\bin\Hostx64\x64;C:\VS\Common7\Tools;C:\VS\MSBuild\Current\Bin\", \"Machine\");

# Add signtool.exe to the PATH. Note this path may need to be edited if updates
# are made to the Windows 10 SDK.

    ```
    bash update_requirements.sh <path_to_tensorflow_wheel> <python_version>
    e.g.:
    bash update_requirements.sh /tmp/tensorflow-2.14.0-cp311-cp311-linux_x86_64.whl 3_11
    ```

#### Requirements Updater Script
This script automates the process of updating TensorFlow requirements for a
specific Python version.

##### Parameters
`path_to_tensorflow_wheel`: The local path to the TensorFlow wheel file.

# test for investigation, you'll need --config=pip_venv instead, and then you
# can specify whichever target you want.
test:pip_venv --action_env PYTHON_BIN_PATH="/bazel_pip/bin/python3"
test:pip_venv --action_env PYTHON_LIB_PATH="/bazel_pip/lib/python3/site-packages"
test:pip_venv --python_path="/bazel_pip/bin/python3"
test:pip_venv --define=no_tensorflow_py_deps=true
test:pip --config=pip_venv
# Yes, we don't exclude the gpu tests on pip for some reason.

.DS_Store
.ipynb_checkpoints
node_modules
/.bazelrc.user
/.tf_configure.bazelrc
/xla_configure.bazelrc
/bazel-*
/bazel_pip
/tools/python_bin_path.sh
/tensorflow/tools/git/gen
/pip_test
/_python_build
*.pyc
__pycache__
*.swp
.vscode/
cmake_build/
tensorflow/contrib/cmake/_build/
.idea/**
/build/
[Bb]uild/
/build_output/
/tensorflow/core/util/version_info.cc
/tensorflow/python/framework/fast_tensor_util.cpp

}

# Note: this is excluded on the full code base, since any submitted code must
# have passed Google's internal style guidelines.
@test "Check formatting for C++ files" {
    skip "clang-format doesn't match internal clang-format checker"
    echo "clang-format is recommended. Here are the suggested changes:"
    echo "============================="

The TensorFlow project strives to abide by generally accepted best practices in
open-source software development.

## Patching guidelines

Follow these steps to patch a specific version of TensorFlow, for example, to
apply fixes to bugs or security vulnerabilities:

*   Clone the TensorFlow repo and switch to the corresponding branch for your

    *   Add support for TensorArrays to tf.data Dataset.
    *   Switching tf.data functions to use `defun`, providing an escape hatch to
        continue using the legacy `Defun`.
*   Toolchains
    *   CUDNN_INSTALL_PATH, TENSORRT_INSTALL_PATH, NCCL_INSTALL_PATH,
        NCCL_HDR_PATH are deprecated. Use TF_CUDA_PATHS instead which supports a
        comma-separated list of base paths that are searched to find CUDA

    ```bash
    export flags="--config=opt -k"
    ```

    If the tests are to be run on the GPU, add CUDA paths to LD_LIBRARY_PATH and
    add the `cuda` option flag

    ```bash
    export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH"
    export flags="--config=opt --config=cuda -k"
    ```

    For example, to run all tests under tensorflow/python, do: