override
    fun transform(outputs: TransformOutputs) {
        val primaryInputFile = primaryInput.get().asFile
        if (parameters.externalClasspath.contains(primaryInputFile)) {       // <6>
            outputs.file(primaryInput)
        } else {
            val baseName = primaryInputFile.name.substring(0, primaryInputFile.name.length - 4)
            relocateJar(outputs.file("$baseName-relocated.jar"))
        }
    }

    assert FLAGS.output.endswith('.mlir')
    generated_code = tfr_gen_from_module(sys.modules[__name__], '_composite_',)

  dirname = os.path.dirname(FLAGS.output)
  if not os.path.exists(dirname):
    os.makedirs(dirname)
  with open(FLAGS.output, 'w') as f:
    f.write(generated_code)


if __name__ == '__main__':

import java.io.File;
import java.util.Map;

/**
 * A collection of all output directories (compiled classes, processed resources, etc.) - notice that {@link SourceSetOutput} extends {@link FileCollection}.
 * <p>
 * Provides output information of the source set. Allows configuring the default output dirs and specify additional output dirs.
 *
 * <pre class='autoTested'>
 * plugins {
 *     id 'java'
 * }
 *

 *
 * A task can depend upon another task's outcome (PASS vs. FAIL), outputs (the files they produce) or both. A verification
 * failure represents the case where a task has a failed outcome, but has still produced valid output files for consumption.
 * Tasks that only depend on the other task's outputs are allowed to execute. Tasks that depend on both the outcome and

  int num_dims_out = TF_NumDims(model_out_tensor);
  TF_DeleteTensor(model_out_tensor);

  // If the output is a scalar, then return the scalar output
  if (num_dims_out == 0) {
    outputs[0] = model_out.release();
    return absl::OkStatus();
  }

  // Else, reduce sum the output to get a scalar

  // Will sum all dimensions, so get a Tensor containing [0,...,num_dims_out-1].
  AbstractTensorHandlePtr sum_dims;

                def outputFile = file(layout.buildDirectory.file("dummy-output/result.txt"))

                outputs.cacheIf { true }

                inputs.files(inputFile)
                    .withPropertyName("dummy-input")
                    .withPathSensitivity(PathSensitivity.RELATIVE)

                outputs.dir(outputDir)

                abstract Provider<FileSystemLocation> getInputArtifact()

                void transform(TransformOutputs outputs) {
                    def input = inputArtifact.get().asFile
                    def output = outputs.file(input.name + ".txt")
                    output.text = String.valueOf(input.length())
                }
            }
        """
    }

    def getFileNamer() {

    }

    def "resolves tasks outputs to its output files"() {
        def content = Mock(FileCollectionInternal)
        def outputs = Mock(TaskOutputs)

        when:
        visitor.add outputs

        then:
        1 * outputs.files >> content
        1 * context.accept(content)
        0 * context._
    }

    def "resolves task to its output files"() {

                                    bool enable_select_tf_ops) {
  std::string error_msg;
  auto output = mlir::openOutputFile(output_filename, &error_msg);
  if (output == nullptr) {
    llvm::errs() << error_msg << '\n';
    return absl::InvalidArgumentError("cannot open output file.");
  }

  std::string result;
  if (output_mlir) {
    llvm::raw_string_ostream os(result);
    module.print(os);

    @OutputFile
    abstract RegularFileProperty getOutputFile()

    @TaskAction
    void produce() {
        String message = 'Hello, World!'
        def output = outputFile.get().asFile
        output.text = message
        logger.quiet("Wrote '${message}' to ${output}")
    }
}

abstract class Consumer extends DefaultTask {
    @InputFiles
    abstract ListProperty<RegularFile> getInputFiles()

    @TaskAction