if (null == name) {
            return defaultClazz; // just use the default type
        }

        // TCCL allows surrounding container to influence class loading policy
        final ClassLoader tccl = Thread.currentThread().getContextClassLoader();
        if (tccl != null) {
            try {
                return tccl.loadClass(name);

  // into the ResourceClaim that gets created from this template. The
  // same fields as in a ResourceClaim are also valid here.
  optional ResourceClaimSpec spec = 2;
}

// ResourceClass is used by administrators to influence how resources
// are allocated.
//
// This is an alpha type and requires enabling the DynamicResourceAllocation
// feature gate.
message ResourceClass {
  // Standard object metadata
  // +optional

  // More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#spec-and-status
  // +optional
  optional JobSpec spec = 2;
}

// PodFailurePolicy describes how failed pods influence the backoffLimit.
message PodFailurePolicy {
  // A list of pod failure policy rules. The rules are evaluated in order.
  // Once a rule matches a Pod failure, the remaining of the rules are ignored.

// `shape_inference::InferenceContext` constructor. Note the following:
//   - The inputs of the `op` are not used for shape inference. So, it is
//     OK to not have the inputs properly set in `op`. See `input_tensors`
//     if you want shape inference to consider the input tensors of the
//     op for shape inference.
//   - The types need not be set in `input_shapes` as it is not used.

func (v *Value) InferBytesType() (err error) {
	b, ok := v.ToBytes()
	if !ok {
		return fmt.Errorf("InferByteType: Input is not bytes, but %v", v.GetTypeString())
	}

	// Check for numeric inference
	if x, ok := v.bytesToInt(); ok {
		v.setInt(x)
		return nil
	}
	if x, ok := v.bytesToFloat(); ok {
		v.setFloat(x)
		return nil
	}
	if x, ok := v.bytesToBool(); ok {
		v.setBool(x)

   * use the {@code ArrayList} {@linkplain ArrayList#ArrayList() constructor} directly, taking
   * advantage of <a
   * href="https://docs.oracle.com/javase/tutorial/java/generics/genTypeInference.html#type-inference-instantiation">"diamond"
   * syntax</a>.
   */
  @GwtCompatible(serializable = true)
  @SuppressWarnings("NonApiType") // acts as a direct substitute for a constructor call

    {{{https://cwiki.apache.org/confluence/display/MAVEN/POM+Element+for+Source+File+Encoding}source files encoding}}
    (defaults to <<<UTF-8>>> since Maven 4.0.0, no default value was provided in Maven 3.x, meaning that the platform
    encoding was used by plugins)

    * <<<$\{project.reporting.outputEncoding\}>>> for

      status->status = TF_TensorToTensor(input_tensors[i], &input_tensor);
      if (!status->status.ok()) return;
      input_tensors_vector[i] = &input_tensor;
    }
  }

  // Create an inference context with dummy values, which will be updated later.
  InferenceContext c(TF_GRAPH_DEF_VERSION, node_def, op_reg_data->op_def,
                     std::vector<ShapeHandle>(num_inputs), input_tensors_vector,

            }
        }

        if ((reference != null && !reference.isEmpty()) && !reference.startsWith("http:")) {
            reference = "http://cwiki.apache.org/confluence/display/MAVEN/" + reference;
        }

        return reference;
    }

    private boolean isNoteworthyException(Throwable exception) {
        if (exception == null) {
            return false;

  }

  ~ShapeInferenceTest() override {
    TFE_DeleteContextOptions(tfe_context_options_);
    TFE_DeleteContext(tfe_context_);
    TF_DeleteStatus(status_);
  }

  // Checks the expected result of shape inference for the given `op`.
  void CheckOutputShapes(
      TFE_Op* op,
      const std::vector<absl::optional<std::vector<int64_t>>>& input_shapes_vec,
      const std::vector<TF_Tensor*>& input_tensors,