#     --config=dbg --per_file_copt=+tensorflow/core/kernels/identity_op.*@-g
# Since this .bazelrc file is synced between the tensorflow/tensorflow repo and
# the openxla/xla repo, also include debug info for files under xla/.
build:dbg --per_file_copt=+.*,-tensorflow.*,-xla.*@-g0
build:dbg --per_file_copt=+tensorflow/core/kernels.*@-g0
# for now, disable arm_neon. see: https://github.com/tensorflow/tensorflow/issues/33360

        "@llvm-project//mlir:Support",
        "@llvm-project//mlir:TransformUtils",
        "@llvm-project//mlir:Transforms",
        "@local_xla//xla:status",
        "@local_xla//xla:statusor",
        "@local_xla//xla/mlir_hlo",
        "@stablehlo//:stablehlo_ops",
    ],
)

cc_library(
    name = "tensorflow_lite_optimize",
    srcs = [
        "transforms/generated_optimize.inc",
        "transforms/optimize.cc",

                ' of compute capabilities excluding version %s.' % ver)
            all_valid = False
          if ver < 35:
            print('WARNING: XLA does not support CUDA compute capabilities '
                  'lower than sm_35. Disable XLA when running on older GPUs.')
      else:
        ver = float(m.group(0))
        if ver < 3.0:

        op, input.getType(), scalar_zero,
        ArrayRef<Value>({slice1, expanded_item, slice2}));
    return success();
  }

  // This function rewrites the original op into a XLA DynamicUpdateSlice op.
  // |item| is expanded to have the same dimension as input_handle and
  // |index| is expanded to [index, 0, 0, ...] as the indices to input_handle.
  // On a high level, it's doing something like: