// executed in sequence. Assigning nodes to different executors allows executing
// nodes in parallel.
// in_flight_nodes_limit: when is_async is true, this value controls the
// maximum number of in flight async nodes. Enqueuing of additional async ops
// after the limit is reached blocks until some inflight nodes finishes.
// The effect is bounding the memory held by inflight TensorHandles that are

* `tf.lite`
    * Added support for `stablehlo.gather`.
    * Added support for `stablehlo.add`.
    * Added support for `stablehlo.multiply`.
    * Added support for `stablehlo.maximum`.
    * Added support for `stablehlo.minimum`.
    * Added boolean parameter support for `tfl.gather_nd`.
    * C API:
        * New API functions:
            * `tensorflow/lite/c/c_api_experimental.h`:

    default_cc_opt_flags = '/arch:AVX'
  else:
    # On all other platforms, no longer use `-march=native` as this can result
    # in instructions that are too modern being generated. Users that want
    # maximum performance should compile TF in their environment and can pass
    # `-march=native` there.
    # See https://github.com/tensorflow/tensorflow/issues/45744 and duplicates
    default_cc_opt_flags = '-Wno-sign-compare'

# Build with the AVX instruction set when on macOS x86
build:release_macos_x86 --config=avx_linux
build:release_macos_x86 --cpu=darwin
# Target Catalina as the minimum compatible OS version
build:release_macos_x86 --macos_minimum_os=10.15
build:release_macos_x86 --action_env MACOSX_DEPLOYMENT_TARGET=10.15

# Build configs for macOS Arm64
build:release_macos_arm64 --config=release_macos_base