# ==============================================================================
source ci/official/envs/linux_arm64
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config  cross_compile_linux_arm64"

# > the core TensorFlow code will be built once for the host and once for the
# > target platform.
# See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation
build --distinct_host_configuration=false

# Disable clang extension that rejects type definitions within offsetof. 
# This was added in clang-16 by https://reviews.llvm.org/D133574.

TFCI_DOCKER_REBUILD_ENABLE=
TFCI_DOCKER_REBUILD_UPLOAD_ENABLE=
TFCI_GIT_DIR=
TFCI_INDEX_HTML_ENABLE=
TFCI_LIB_SUFFIX=
TFCI_MACOS_BAZEL_TEST_DIR_ENABLE=
TFCI_MACOS_BAZEL_TEST_DIR_PATH=
TFCI_MACOS_CROSS_COMPILE_ENABLE=
TFCI_MACOS_CROSS_COMPILE_SDK_DEST=
TFCI_MACOS_CROSS_COMPILE_SDK_SOURCE=
TFCI_MACOS_INSTALL_BAZELISK_ENABLE=
TFCI_MACOS_INSTALL_BAZELISK_URL=
TFCI_MACOS_PYENV_INSTALL_ENABLE=
TFCI_MACOS_TWINE_INSTALL_ENABLE=
TFCI_MACOS_UPGRADE_PYENV_ENABLE=

# > the core TensorFlow code will be built once for the host and once for the
# > target platform.
# See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation
build --distinct_host_configuration=false

# Store performance profiling log in the mounted artifact directory.
# The profile can be viewed by visiting chrome://tracing in a Chrome browser.

build:cross_compile_linux_arm64_xla --crosstool_top=//tools/toolchains/cross_compile/cc:cross_compile_toolchain_suite

# RBE cross-compile configs for Linux Aarch64
build:rbe_cross_compile_linux_arm64 --config=cross_compile_linux_arm64
build:rbe_cross_compile_linux_arm64 --config=rbe_cross_compile_base
test:rbe_cross_compile_linux_arm64 --config=rbe_cross_compile_base

# RBE cross-compile configs for XLA Linux Aarch64

    if (n > INT32_MAX)
      requested_read_length = INT32_MAX;
    else
      requested_read_length = n;

    // `pread` returns a `ssize_t` on POSIX, but due to interface being
    // cross-platform, return type of `Read` is `int64_t`.
    int64_t r = int64_t{pread(posix_file->fd, dst, requested_read_length,
                              static_cast<off_t>(offset))};
    if (r > 0) {
      dst += r;

# only on affected targets, usually. There are targets in //tensorflow/lite that
# don't pass --nobuild, so they're on their own.
#
# Although buildifier checks for formatting as well, "bazel build nobuild"
# checks for cross-file issues like bad includes or missing BUILD definitions.
#
# We can't test on the windows toolchains because they're using a legacy
# toolchain format (or something) that specifies the toolchain directly instead

source ci/official/envs/macos_x86
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION  --config cross_compile_macos_x86"
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=cross_compile_macos_x86
TFCI_MACOS_CROSS_COMPILE_ENABLE=1
TFCI_MACOS_CROSS_COMPILE_SDK_DEST="tensorflow/tools/toolchains/cross_compile/cc/MacOSX.sdk"
TFCI_MACOS_CROSS_COMPILE_SDK_SOURCE="/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk"

        crosses of integer or string data to a model.
    *   Removed `keras.layers.experimental.preprocessing.CategoryCrossing`.
        Users should migrate to the `HashedCrossing` layer or use
        `tf.sparse.cross`/`tf.ragged.cross` directly.
    *   Added additional `standardize` and `split` modes to `TextVectorization`:
        *   `standardize="lower"` will lowercase inputs.

if [[ "$TFCI_MACOS_CROSS_COMPILE_ENABLE" == 1 ]]; then
  mkdir -p "${TFCI_MACOS_CROSS_COMPILE_SDK_DEST}/usr"
  mkdir -p "${TFCI_MACOS_CROSS_COMPILE_SDK_DEST}/System/Library/Frameworks/"
  cp -r "${TFCI_MACOS_CROSS_COMPILE_SDK_SOURCE}/usr/include" "${TFCI_MACOS_CROSS_COMPILE_SDK_DEST}/usr/include"
  cp -r "${TFCI_MACOS_CROSS_COMPILE_SDK_SOURCE}/usr/lib" "${TFCI_MACOS_CROSS_COMPILE_SDK_DEST}/usr/lib"