# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
# Enables RBE as long as RBE is available for the selected platform.
# The "selected" platform is considered to be
# TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX. "Available" means there is

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
# Sourcing this enables local disk cache
if [[ $(uname -s) == "Darwin" ]]; then
  echo "Please note that using disk cache on macOS is not recommended because the"
  echo "cache can end up being pretty big and make the build process inefficient."
fi

                                                     TF_Status* status);

// Enables running eager ops as function.
TF_CAPI_EXPORT void TFE_ContextSetRunEagerOpAsFunction(TFE_Context* ctx,
                                                       unsigned char enable,
                                                       TF_Status* status);

// Enables rewrite jit_compile functions.

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
# Sourcing this enables Bazel remote cache (read and write)
# Note that "_push" cache configs write to GCS buckets and require
# authentication. If you are not a Googler, source "public_cache" to enable the
# public read-only cache.

    define_values = {"tf_api_version": "2"},
    visibility = ["//visibility:public"],
)

# This flag enables experimental MLIR support.
config_setting(
    name = "with_mlir_support",
    define_values = {"with_mlir_support": "true"},
    visibility = ["//visibility:public"],
)

# This flag forcibly enables experimental MLIR bridge support.
config_setting(
    name = "enable_mlir_bridge",

* `tf.lite`
    * Quantization for `FullyConnected` layer is switched from per-tensor to
      per-channel scales for dynamic range quantization use case (`float32`
      inputs / outputs and `int8` weights). The change enables new quantization
      schema globally in the converter and inference engine. The new behaviour
      can be disabled via experimental
      flag `converter._experimental_disable_per_channel_quantization_for_dense_layers = True`.

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
# Sourcing this enables Bazel remote cache (public, read-only)
# The cache configs are different for MacOS and Linux
if [[ $(uname -s) == "Darwin" ]]; then
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_macos_cache"
else

# Select supported compute capabilities (supported graphics cards).
# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX
# is forward compatible beyond the current compute capability major
# release while SASS is only forward compatible inside the current