getInputProperties() >> ImmutableSortedMap.of()
        getInputFileProperties() >> ImmutableSortedMap.of()
    }

    def outputFile = file("output.txt").text = "output"
    def outputFilesProducedByWork = snapshotsOf(output: outputFile)

    def step = new StoreExecutionStateStep<IncrementalCachingContext, AfterExecutionResult>(delegate)
    def delegateResult = Mock(AfterExecutionResult)

}
// end::removed-output[]

// tag::reverse[]
tasks.register('incrementalReverse', IncrementalReverseTask) {
    inputDir = file('inputs')
    outputDir = layout.buildDirectory.dir("outputs")
    inputProperty = project.properties['taskInputProperty'] ?: 'original'
}
// end::reverse[]

incrementalReverse.mustRunAfter(originalInputs, updateInputs, removeInput, removeOutput)

    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"))
        }
    }

static constexpr char kPredictInputs[] = "inputs";

/// Predict method name used in a SignatureDef.
static constexpr char kPredictMethodName[] = "tensorflow/serving/predict";

/// Predict outputs.
static constexpr char kPredictOutputs[] = "outputs";

////////////////////////////////////////////////////////////////////////////////
/// Regression API constants.

/// Regression inputs.
static constexpr char kRegressInputs[] = "inputs";

    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__':

                }

                void transform(TransformOutputs outputs) {
                    def input = inputArtifact.get().asFile
                    def output = outputs.file(input.name + ".txt")
                    def counter = parameters.counter
                    println "Transforming \${input.name} to \${output.name}"
                    output.withWriter { out ->

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'
 * }
 *

        """
        if (useRuntimeApi) {
            """
                task customTask {
                    def localStateFile = $localStateFile
                    outputs.cacheIf { true }
                    outputs.dir("build")
                    localState.register(localStateFile)
                    doLast { $action }
                }
            """
        } else {
            """
                @CacheableTask

 *
 * 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;