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>

def TF_StatefulUniformFullIntOp : TF_Op<"StatefulUniformFullInt", []> {
  let summary = "Outputs random integers from a uniform distribution.";

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

  let arguments = (ins
    Arg<TF_ResourceTensor, "", [TF_VariableRead,TF_VariableWrite]>:$resource,
    TF_Int64Tensor:$algorithm,
    TF_I32OrI64Tensor:$shape
  );

      this.future = future;
      this.name = name;
      this.finisher = finisher;
    }
  }

  /**
   * A collection of several futures, covering cancellation, success, and failure (both {@link
   * ExecutionException} and {@link RuntimeException}), both immediate and delayed. We use each
   * possible pair of these futures in {@link FuturesTest#runExtensiveMergerTest}.

      this.future = future;
      this.name = name;
      this.finisher = finisher;
    }
  }

  /**
   * A collection of several futures, covering cancellation, success, and failure (both {@link
   * ExecutionException} and {@link RuntimeException}), both immediate and delayed. We use each
   * possible pair of these futures in {@link FuturesTest#runExtensiveMergerTest}.

Please be aware that `endPort` field **MUST BE SUPPORTED** by the Network Policy provider. If your provider does not support `endPort`, and this field is specified in a Network Policy, the Network Policy will be created covering only the port field (single port).

### Promoted Local Ephemeral Storage Capacity Isolation to Stable

	ctx := cs.ctx

	if err := http2checkConnHeaders(req); err != nil {
		return err
	}

	// Acquire the new-request lock by writing to reqHeaderMu.
	// This lock guards the critical section covering allocating a new stream ID
	// (requires mu) and creating the stream (requires wmu).
	if cc.reqHeaderMu == nil {
		panic("RoundTrip on uninitialized ClientConn") // for tests
	}
	select {

  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.
==============================================================================*/
// Functionalities for exporting MLIR ModuleOp to TensorFlow SavedModel.