module {
func.func @add(%arg0: tensor<3x2xf32>) -> tensor<3x2xf32> attributes {tf.entry_function = {inputs = "serving_default_x", outputs = "outputs"}} {
  %0 = "tfl.pseudo_const" () {value = dense<[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]> : tensor<3x2xf32>} : () -> tensor<3x2xf32>

                @InputFiles def inputFiles = project.layout.files()

                @OutputDirectory File outputs1
                @OutputDirectory File outputs2

                @TaskAction void action() {
                    new File(outputs1, "output1.txt").text = "output1"
                    new File(outputs2, "output2.txt").text = "output2"
                }
            }
        """

        buildFile << """

            createNewFile(outputs.file(AGENT_INSTRUMENTATION_MARKER.getFileName()));
            doTransform(artifactToTransform, outputs, originalName -> INSTRUMENTED_ENTRY_PREFIX + originalName);
        } else {
            createNewFile(outputs.file(LEGACY_INSTRUMENTATION_MARKER.getFileName()));
            doTransform(artifactToTransform, outputs, originalName -> originalName);
        }
    }

    protected CompilationOutputsFixture outputs

    protected TestFile annotationProjectDir
    protected TestFile libraryProjectDir
    protected TestFile processorProjectDir

    def setup() {
        executer.requireOwnGradleUserHomeDir()

        operations = new CompileJavaBuildOperationsFixture(executer, testDirectoryProvider)
        outputs = new CompilationOutputsFixture(file("build/classes"))

          TAG="quay.io/minio/minio:${{ steps.vars.outputs.sha_short }}" make docker

      - name: multipart uploads test
        run: |
          ${GITHUB_WORKSPACE}/.github/workflows/multipart/migrate.sh "${{ steps.vars.outputs.sha_short }}"

      - name: compress and encrypt
        run: |
          ${GITHUB_WORKSPACE}/.github/workflows/run-mint.sh "compress-encrypt" "minio" "minio123" "${{ steps.vars.outputs.sha_short }}"

    const std::vector<std::string>& output_names,
    const std::vector<std::string>& target_nodes,
    std::vector<Tensor>* outputs) {
  tensorflow::RunMetadata run_metadata;
  return Run(tensorflow::RunOptions(), inputs, output_names, target_nodes,
             outputs, &run_metadata);
}

Status FakeSession::Run(
    const tensorflow::RunOptions& run_options,

  return absl::OkStatus();
}

// Converts `noutputs` and `outputs` into `outputs_tensors` and does various
// checks while doing so.
Status ProcessOutputs(const TF_Graph* fn_body, const char* fn_name,
                      int noutputs, const TF_Output* outputs,
                      std::vector<OutputTensor>* output_tensors)
    TF_EXCLUSIVE_LOCKS_REQUIRED(fn_body->mu) {
  output_tensors->reserve(noutputs);
  for (int i = 0; i < noutputs; ++i) {

        "same location"        | null           | "file"     | "output.txt"               | "output.txt"
        "consuming ancestor"   | null           | "file"     | "build/dir/sub/output.txt" | "build/dir"
        "consuming descendant" | 'build/dir'    | "dir"      | "build/dir/sub/output.txt" | "build/dir/sub/output.txt"
    }

        def generateFoo = foo.task('generateFoo').outputs('build/foo').localState('build/foo-local')
        def generateBar = bar.task('generateBar').outputs('build/bar').dependsOn(generateFoo)
        def generate = rootBuild.task('generate').dependsOn(generateBar).dependsOn(generateFoo)
        def dist = rootBuild.task('dist').outputs('build/dist').dependsOn(generateBar).dependsOn(generateFoo)

        writeAllFiles()

        redirector.start()
        System.out.println('this is stdout')
        System.err.println('this is stderr')
        redirector.stop()

        then:
        System.out == outputs.stdOutPrintStream
        System.err == outputs.stdErrPrintStream
    }

    def startAndStopRedirectsStdOut() {
        when:
        redirector.redirectStandardOutputTo(stdOutListener)
        redirector.start()