Jacques Pienaar <******@****.***> 1587687343 -0700

overlapping-outputs-input-comparison.png...

    }

    /**
     * Renders this event to the given output. The output's style will be set to {@link
     * StyledTextOutput.Style#Normal}. The style will be reset after the rendering is complete, so
     * there is no need for this method to clean up the style.
     *
     * @param output The output to render to.
     */
    public abstract void render(StyledTextOutput output);

    @Nullable

};

// Idenitfy tf_device.cluster_func input-output alias pairs.
// This is currently conservative, primarily handling the following base case:
// ```
// %value = tf.ReadVariableOp(%resource_var)
// %output:N = tf_device.cluster_func(..., /*input index = a*/ %value, ...)
// tf.AssignVariableOp(%resource_var, %output#b) // write output #b to resource
// ```
// where `%value` and `%output#b` have only one use. (a, b) would be added as

   *
   *   A =[[0, 1],[1, 0]]
   *   B =[[1, 0],[0, 1]]
   *
   *   output1, output2, output3 = two_adds_and_mm(A, B)
   *
   * We expect outputs:
   *
   *   output1 = [[1, 1],[1, 1]]
   *   output2 = [[2, 0],[0, 2]]
   *   output3 = [[2, 2],[2, 2]]
   *
   */

  // Build eager context.
  TFE_ContextOptions* opts = TFE_NewContextOptions();

  std::unique_ptr<tensorflow::ServerInterface> server;
};
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

namespace tensorflow {

// Set the shapes and types of the output's handle.
//
// The lengths of the arrays pointed to by `shapes`, `ranks`, and `types` must
// all be equal to `num_shapes_and_types`. If `ranks[i] != -1`, (i.e., if the

	if a.Mode == "build" {
		r, err := os.Open(target)
		if err == nil {
			if a.output == nil {
				panic("internal error: a.output not set")
			}
			outputID, _, err := c.Put(a.actionID, r)
			r.Close()
			if err == nil && cfg.BuildX {
				sh.ShowCmd("", "%s # internal", joinUnambiguously(str.StringList("cp", target, c.OutputFile(outputID))))
			}
			if b.NeedExport {
				if err != nil {
					return err
				}

			break
		}

		isOutput := outputRe.MatchString(cg.Text())
		if isOutput {
			numOutputs++
		}

		commentsInExample = append(commentsInExample, commentMetadata{
			isOutput: isOutput,
			pos:      cg.Pos(),
		})
	}

	// Change message based on whether there are multiple output comment blocks.
	msg := "output comment block must be the last comment block"
	if numOutputs > 1 {

  func.func @serving_default(%arg0: tensor<1024x1024xf32> {tf_saved_model.index_path = ["input_tensor"]}) -> (tensor<1024x3xf32> {tf_saved_model.index_path = ["output1"]}, tensor<1024x3xf32> {tf_saved_model.index_path = ["output2"]}) attributes {tf.entry_function = {control_outputs = "", inputs = "serving_default_input_tensor:0", outputs = "PartitionedCall:0"}, tf_saved_model.exported_names = ["serving_default"]} {
    %0 = stablehlo.constant dense<1.000000e+03> : tensor<1024x3xf32>

            file("build.gradle") << """
                task foo {
                    inputs.dir('src').ignoreEmptyDirectories(false).withPropertyName('src')
                    outputs.file('output.txt')
                    doLast {
                        file('output.txt') << 'do stuff'
                    }
                }
            """
            dir("src") {
                file("A.txt") << "fooA"