return op;
}

TFE_Op* SendOp(TFE_Context* ctx, TFE_TensorHandle* in,
               const std::string& op_name, const std::string& send_device,
               const std::string& recv_device,
               tensorflow::uint64 send_device_incarnation) {
  TF_Status* status = TF_NewStatus();
  TFE_Op* op = TFE_NewOp(ctx, op_name.c_str(), status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_OpAddInput(op, in, status);

auto* dynamism_op_counter = tensorflow::monitoring::Counter<1>::New(
    "/tensorflow/core/tf2xla/api/v2/dynamism_op_counter",
    "Counts how many ops are dynamic", "op_name");

auto* dynamism_function_counter = tensorflow::monitoring::Counter<1>::New(
    "/tensorflow/core/tf2xla/api/v2/dynamism_function_counter",
    "Counts how many functions are dynamic", "has_dynamism");

import static com.google.common.base.StandardSystemProperty.JAVA_IO_TMPDIR;
import static com.google.common.base.StandardSystemProperty.JAVA_SPECIFICATION_VERSION;
import static com.google.common.base.StandardSystemProperty.OS_NAME;
import static com.google.common.truth.Truth.assertThat;
import static java.nio.file.attribute.PosixFilePermission.OWNER_EXECUTE;
import static java.nio.file.attribute.PosixFilePermission.OWNER_READ;

    auto custom_op = llvm::isa<CustomOp>(op);
    if (custom_op) {
      auto q = llvm::cast<CustomOp>(op);
      std::string op_name = q.getCustomCode().str();
      if ((custom_op_map.find(op_name) == custom_op_map.end()) ||
          !custom_op_map.find(op_name)->second.no_side_effect)
        return failure();
    }
    rewriter.eraseOp(op);
    return success();
  }
  quant::CustomOpMap custom_op_map;

	return fmt.Sprintf("Prefix(%#x)", int(p))
}

// An Op is an x86 opcode.
type Op uint32

func (op Op) String() string {
	i := int(op)
	if i < 0 || i >= len(opNames) || opNames[i] == "" {
		return fmt.Sprintf("Op(%d)", i)
	}
	return opNames[i]
}

// An Args holds the instruction arguments.
// If an instruction has fewer than 4 arguments,
// the final elements in the array are nil.
type Args [4]Arg

        return element_type->isF32() || element_type->isInteger(32);
      }
    }
  }

  // Op is vacuously "supported" if it is not a tensorlist op.
  StringRef op_name = op->getName().getStringRef();
  if (!op_name.contains("TensorList")) return true;

  std::optional<mlir::Type> element_type = {};

  if (auto reserve = llvm::dyn_cast_or_null<TF::TensorListReserveOp>(op)) {

    return std::string("tf.If");
  }

  llvm::StringRef op_name(tflite::EnumNameBuiltinOperator(builtin_code));

  // If the Op name contains stablehlo
  if (IsStablehloOp(op_code)) {
    return llvm::Twine(
               llvm::Twine("vhlo.", op_name.drop_front(10).lower()).str(),
               "_v1")
        .str();
  }
  return llvm::Twine("tfl.", op_name.lower()).str();
}

            })
        BinaryFileStubBuilders.INSTANCE.addExplicitExtension(KlibMetaFileType, ClassFileStubBuilder())

        ClassFileDecompilers.getInstance().EP_NAME.point.apply {
            registerExtension(KotlinClassFileDecompiler(), LoadingOrder.FIRST, testServices.disposableProvider.getApplicationDisposable())

  TF_OperationDescription* init(string type) {
    // Construct op_name to match the name used by REGISTER_OP in the
    // ATTR_TEST_REGISTER calls above.
    string op_name = "CApiAttributesTestOp";
    if (type.find("list(") == 0) {
      op_name += "List";
      type = type.replace(0, 5, "");
      type = type.replace(type.size() - 1, 1, "");
    }
    op_name += type;
    return TF_NewOperation(

constexpr llvm::StringLiteral kCompositeNamespace = "odml.internal";
constexpr llvm::StringLiteral kGelu = "gelu";

std::string MakeCompositeName(llvm::StringRef op_name) {
  return (kCompositeNamespace + "." + op_name).str();
}

#define GEN_PASS_DEF_OUTLINECOMPOSITESPASS
#include "tensorflow/compiler/mlir/lite/stablehlo/odml_converter/passes.h.inc"

constexpr float kOne = 1.0;