TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cpu
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow_cpu"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=devel ci/official/containers/ml_build"

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64
# Note: this is not set to "--cpu", because that changes the package name
# to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow"
# despite lacking Nvidia CUDA support.
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1

        "//conditions:default": "touch $@",  # Just a placeholder for Unix platforms
    }),
    visibility = ["//visibility:public"],
)

# The interface library (tensorflow_cc.dll.if.lib) for linking tensorflow DLL library (tensorflow_cc.dll) on Windows.
# To learn more about import library (called interface library in Bazel):

    weight.
*   Adds time series models to contrib. See contrib/timeseries/README.md for
    details.
*   Adds FULLY_CONNECTED Op to tensorflow/lite/schema.fbs

## Known Issues

*   Tensorflow_gpu compilation fails with Bazel 0.5.3.

## Bug Fixes and Other Changes

*   Fixes `strides` and `begin` dtype mismatch when slicing using int64 Tensor
    index in python.