*       when using Executors.
 * </ol>
 *
 * <p><b>Other notes</b>
 *
 * <ul>
 *   <li>Usually, there is one testcase method per JSR166 method covering "normal" operation, and
 *       then as many exception-testing methods as there are exceptions the method can throw.
 *       Sometimes there are multiple tests per JSR166 method when the different "normal" behaviors

	if p.Internal.Cover.Mode != "" {
		outfiles := []string{}
		infiles := []string{}
		for i, file := range str.StringList(gofiles, cgofiles) {
			if base.IsTestFile(file) {
				continue // Not covering this file.
			}

			var sourceFile string
			var coverFile string
			var key string
			if base, found := strings.CutSuffix(file, ".cgo1.go"); found {
				// cgo files have absolute paths

		slid := len(rval.VarSlots)
		rval.VarSlots = append(rval.VarSlots, []SlotID{SlotID(slid)})
	}

	// Make an initial pass to populate the vars/slots for our return
	// value, covering first the input parameters and then (if needed)
	// the special ".closureptr" var for rangefunc bodies.
	params := []abi.ABIParamAssignment{}
	for _, inp := range pri.InParams() {
		if !isNamedRegParam(inp) {

// RUN: odml-to-stablehlo-opt -composite-lowering -verify-diagnostics %s | FileCheck %s

func.func @hardswish(%arg0: tensor<2xf32>) -> (tensor<*xf32>) {
  %0 = mhlo.composite "aten.hardswish.default" %arg0 {decomposition = @XlaCallModule_aten.hardswish.default.impl_0} : (tensor<2xf32>) -> tensor<2xf32>
  %1 = "tf.Identity"(%0) {device = ""} : (tensor<2xf32>) -> tensor<*xf32>
  %2 = "tf.Identity"(%1) {device = ""} : (tensor<*xf32>) -> tensor<*xf32>

  let summary = [{
Outputs deterministic pseudorandom random integers from a uniform distribution.
  }];

  let description = [{
The generated values are uniform integers covering the whole range of `dtype`.

The outputs are a deterministic function of `shape` and `seed`.
  }];

  let arguments = (ins
    Arg<TF_I32OrI64Tensor, [{The shape of the output tensor.}]>:$shape,

 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.gradle.internal;

import org.gradle.api.UncheckedIOException;

import javax.annotation.Nullable;
import java.io.IOException;

distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#include "tensorflow/compiler/mlir/mlir_graph_optimization_pass.h"

#include <memory>

distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#include <cstdint>
#include <memory>
#include <string>
#include <unordered_map>

 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

@org.gradle.api.NonNullApi

 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

@org.gradle.api.NonNullApi