// And atomically performs a bitwise AND operation on x using the bitmask
// provided as mask and returns the old value.
func (x *Int32) And(mask int32) (old int32) { return AndInt32(&x.v, mask) }

// Or atomically performs a bitwise OR operation on x using the bitmask
// provided as mask and returns the old value.
func (x *Int32) Or(mask int32) (old int32) { return OrInt32(&x.v, mask) }

import (
	"github.com/google/cel-go/common/types/traits"
)

// RootTypeReferenceName is the root reference that all type names should start with.
const RootTypeReferenceName = "Object"

// ObjectTraits is the bitmask that represents traits that an object should have.

  TF_RegisterOpDefinition(op_builder, status);
  CHECK_EQ(TF_GetCode(status), TF_OK)
      << "Bitcast op registration failed: " << TF_Message(status);
  TF_DeleteStatus(status);
}

TF_ATTRIBUTE_UNUSED static bool IsBitcastOpRegistered = []() {
  if ((&TF_NewStatus != nullptr) && SHOULD_REGISTER_OP("Bitcast")) {
    RegisterBitcastOp();
  }
  return true;

func.func @bitcast_convert_i32_f32(%arg0: tensor<1x256128xi32>) -> tensor<1x256128xf32> {
  // CHECK: %[[BITCAST:.*]] = stablehlo.bitcast_convert %arg0 : (tensor<1x256128xi32>) -> tensor<1x256128xf32>
  // CHECK: %[[CONVERT:.*]] = stablehlo.convert %[[BITCAST]] : (tensor<1x256128xf32>) -> tensor<1x256128xbf16>
  // CHECK: return %[[CONVERT]] : tensor<1x256128xbf16>

        "//tensorflow/c:tf_tensor",
        "//tensorflow/core:framework",
        "//tensorflow/core:lib",
        "//tensorflow/core:protos_all_cc",
    ],
)

tf_gen_op_libs(
    op_lib_names = ["bitcast"],
    deps = [
        "//tensorflow/c:ops",
        "//tensorflow/c:tf_datatype",
        "//tensorflow/c:tf_status",
        "//tensorflow/c:tf_tensor",
        "//tensorflow/core:lib",
    ],
)