absl::StrCat("ZerosLike", ToId(t)).c_str()));
  }
  TF_RETURN_IF_ERROR(op->AddInput(t));
  int num_outputs = 1;
  std::vector<AbstractTensorHandle*> outputs(num_outputs);
  TF_RETURN_IF_ERROR(
      op->Execute(absl::Span<AbstractTensorHandle*>(outputs), &num_outputs));
  *result = outputs[0];
  return absl::OkStatus();
}
}  // namespace

absl::Status GradientRegistry::Register(

  auto outputs = parallel_device.Execute(
      context.get(), {reduced_values.get(), run_collective.get()},
      "AssertAndCollective", TFE_OpGetAttrs(call_op.get()),
      /*expected_max_outputs=*/1, status.get());
  ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());
  ASSERT_EQ(outputs->size(), 1);
  ParallelTensor* parallel_result = (*outputs)[0].get();

    @PathSensitive(PathSensitivity.NAME_ONLY)
    @InputArtifact
    abstract Provider<FileSystemLocation> getArtifact()

    @Override
    void transform(TransformOutputs outputs) {
        File gradleJars = outputs.dir("gradle-jars")
        File dependencies = outputs.dir("gradle-dependencies")
        try (ZipInputStream zin = new ZipInputStream(artifact.get().asFile.newInputStream())) {
            ZipEntry zipEntry

                                    <label for="outputs" class="col-sm-3 text-sm-right col-form-label"><la:message
                                            key="labels.dict_synonym_target"/></label>
                                    <div class="col-sm-9">
                                        <la:errors property="outputs"/>
                                        <la:textarea styleId="outputs" property="outputs" rows="5"

        committer: TensorFlow Release Automation <******@****.***>
        token: ${{ secrets.JENKINS_TOKEN }}
        base: ${{ github.event.inputs.release_branch }}
        branch: ${{ github.event.inputs.release_branch }}-${{ steps.cherrypick.outputs.SHORTSHA }}
        reviewers: learning-to-play
        body: |

  outputs.dir("$buildDir/generated/sources/idnaMappingTable")
  mainClass.set("okhttp3.internal.idn.GenerateIdnaMappingTableCode")
  args("$buildDir/generated/sources/idnaMappingTable")
  classpath = generateIdnaMappingTableConfiguration
}

kotlin {
  sourceSets {
    getByName("main") {
      kotlin.srcDir(copyKotlinTemplates.get().outputs)
      kotlin.srcDir(generateIdnaMappingTable.outputs)

  return ops::MatMul(ctx, inputs[0], inputs[1], &outputs[0],
                     /*transpose_a=*/false,
                     /*transpose_b=*/false, "MatMul");
}

absl::Status MulModel(AbstractContext* ctx,
                      absl::Span<AbstractTensorHandle* const> inputs,
                      absl::Span<AbstractTensorHandle*> outputs) {

			if !match {
				continue
			}
			for _, child := range children {
				outputs = append(outputs, fmt.Sprintf("%v%v%v -> %v", n, equality, k, child))
			}
		}
	}
	return outputs, len(outputs) > 0
}

// PrintListenerSummary prints a summary of the relevant listeners in the config dump to the ConfigWriter stdout
func (c *ConfigWriter) PrintListenerSummary(filter ListenerFilter) error {

                    final List<String> outputStrings = split(sides.get(1), ",");
                    outputs = new String[outputStrings.size()];
                    for (int i = 0; i < outputs.length; i++) {
                        outputs[i] = unescape(outputStrings.get(i)).trim();
                    }

                    if (inputs.length > 0 && outputs.length > 0) {
                        id++;

	if [[ $? -eq 0 ]]; then
		echo "Outputs are consistent."
		break
	fi

	remaining_attempts=$((max_wait_attempts - attempt))
	if ((attempt >= max_wait_attempts)); then
		echo "Outputs remain inconsistent after $max_wait_attempts attempts. Exiting with error."
		exit 1
	else
		echo "Outputs are inconsistent. Waiting for $wait_interval seconds (attempt $attempt/$max_wait_attempts)."