lowercased_title.includes('windows') && domain.includes('intel.com'))
    assignees = intel_windows_assignees;
  const apple_silicon_assignees = ['penpornk', 'nitins17'];
  if (lowercased_title.includes('apple') &&
      lowercased_title.includes('silicon') && domain.includes('apple.com'))
    assignees = apple_silicon_assignees;
  if (lowercased_title.includes('tf-trt') && domain.includes('nvidia.com')) {
    assignees.push(

_TF_BAZELRC = ''
_TF_CURRENT_BAZEL_VERSION = None

NCCL_LIB_PATHS = [
    'lib64/', 'lib/powerpc64le-linux-gnu/', 'lib/x86_64-linux-gnu/', ''
]

# List of files to configure when building Bazel on Apple platforms.
APPLE_BAZEL_FILES = [
    'tensorflow/lite/ios/BUILD', 'tensorflow/lite/objc/BUILD',
    'tensorflow/lite/swift/BUILD',
    'tensorflow/lite/tools/benchmark/experimental/ios/BUILD'
]

# Build everything statically for Android since all static libs are later
# bundled together into a single .so for deployment.
build:android --dynamic_mode=off

# Sets the default Apple platform to macOS.
build:macos --apple_platform_type=macos

# gRPC on MacOS requires this #define
build:macos --copt=-DGRPC_BAZEL_BUILD

# Avoid hitting command line argument limit
build:macos --features=archive_param_file

            switch(domain) {
            case "intel.com":
              console.log(await script.filter({github, context, domain}));
              break;
            case "apple.com":
              console.log(await script.filter({github, context, domain}));
              break;
            case "nvidia.com":
              console.log(await script.filter({github, context, domain}));

        [],
    ),
    values = {
        "apple_platform_type": "macos",
        "cpu": "darwin",
    },
)

config_setting(
    name = "macos_x86_64_crosscompile",
    constraint_values = if_google(
        ["//third_party/bazel_platforms/os:macos"],
        [],
    ),
    values = {
        "apple_platform_type": "macos",
        "cpu": "darwin_x86_64",
    },
)

        will set it for all packages in your Python runtime program

*   1.  Change import of keras from tensorflow as follows
*   import tensorflow.keras as keras and import keras to import tf_keras as
    keras
* **Apple Silicon users:** If you previously installed TensorFlow using
    `pip install tensorflow-macos`, please update your installation method. Use
    `pip install tensorflow` from now on.