)

    return inputs, outputs

  def _create_data_generator(
      self,
      input_key: str,
      shape: Sequence[int],
      minval: float = -1.0,
      maxval: float = 1.0,
      dtype: dtypes.DType = dtypes.float32,
      num_examples: int = 8,
  ) -> repr_dataset.RepresentativeDataset:
    """Creates a data generator to be used as representative dataset.

  %1 = "tf_device.cluster"() ({
    %2 = "tf.ReadVariableOp"(%0) {dtype = i32} : (tensor<*x!tf_type.resource<tensor<*xi32>>>) -> tensor<1xi32>
    %3 = "tf.SomeComputation"(%2) : (tensor<1xi32>) -> (tensor<*xi32>)
    "tf.AssignVariableOp"(%0, %3) {dtype = i32} : (tensor<*x!tf_type.resource<tensor<*xi32>>>, tensor<*xi32>) -> ()
    %4 = "tf.ReadVariableOp"(%0) {dtype = i32} : (tensor<*x!tf_type.resource<tensor<*xi32>>>) -> tensor<1xi32>

			// Allocate space to unroll the gcprog. This space will consist of
			// a dummy _type value and the unrolled gcprog. The dummy _type will
			// refer to the bitmap, and the mspan will refer to the dummy _type.
			if span.spanclass.sizeclass() != 0 {
				throw("GCProg for type that isn't large")
			}
			spaceNeeded := alignUp(unsafe.Sizeof(_type{}), goarch.PtrSize)
			heapBitsOff := spaceNeeded

                                         .WithAttr("dtype", DT_FLOAT)
                                         .WithAttr("value", Tensor()));
    Node* b = ops::SourceOp("Const", builder.opts()
                                         .WithName("b")
                                         .WithAttr("dtype", DT_FLOAT)
                                         .WithAttr("value", Tensor()));

        absl::StrCat(src_node->name(), "_", src_slot, "_retval"), kRetValOp,
        NodeDebugInfo(src_node->def()));
    DataType dtype = src_node->output_type(src_slot);
    builder.Attr("T", dtype);
    builder.Attr("index", ret_index);
    builder.Input(src_image->name(), src_slot, dtype);
    Status s = builder.Finalize(&ret_def);
    if (!s.ok()) return s;
    TF_ASSIGN_OR_RETURN(Node * ret, graph_->AddNode(ret_def));

            name_and_attrs.attr().find("dtype")->second.type());
  TF_DeleteBuffer(serialized_attr_values);

  TFE_Op* var_op_2 = TFE_NewOp(ctx, "VarHandleOp", status);

  string serialized_dtype;
  ASSERT_TRUE(name_and_attrs.attr().find("dtype")->second.SerializeToString(
      &serialized_dtype));
  TFE_OpSetAttrValueProto(
      var_op_2, "dtype",

      OpT op, typename OpT::Adaptor adaptor,
      ConversionPatternRewriter &rewriter) const override {
    Type dtype = op.getElementDtype();
    if (!(dtype.isF16() || dtype.isF32() || dtype.isF64() ||
          dtype.isInteger(1) || dtype.isInteger(8) || dtype.isInteger(16) ||
          dtype.isInteger(32) || dtype.isInteger(64))) {
      const char *error_info =
          "requires element_dtype to be 1-bit/8-bit/16-bit/32-bit/64-bit "

  // ALWAYS-DECOMPOSE-NOT:  "tf.AssignAddVariableOp"
  "tf.AssignAddVariableOp"(%0, %1) {dtype = "tfdtype$DT_INT32"} : (tensor<*x!tf_type.resource<tensor<2x8xi32>>>, tensor<i32>) -> ()
  // CHECK: tf_device.cluster
  "tf_device.cluster"() ({
    // CHECK-NOT: "tf.AssignAddVariableOp"
    "tf.AssignAddVariableOp"(%0, %1) {dtype = "tfdtype$DT_INT32"} : (tensor<*x!tf_type.resource<tensor<2x8xi32>>>, tensor<i32>) -> ()
    tf_device.return

shared_name: the name by which this variable is referred to.
dtype and shape: attributes representing the data type and shape held in the
  variable.

Example:
    resource_variable_ops.var_handle_op(
          dtype=dtypes.int32, shape=[8, 16], container="foo", shared_name="bar")
  returns a handle for a variable with name "bar" in container "foo", and the
  variable holds a tensor of shape [8, 16] and dtype int32.
  }];

  let arguments = (ins

		for _, cType := range []batch.JobConditionType{batch.JobFailed, batch.JobComplete, batch.JobFailureTarget} {
			if IsConditionTrue(oldJob.Status.Conditions, cType) && !IsConditionTrue(job.Status.Conditions, cType) {
				allErrs = append(allErrs, field.Invalid(statusFld.Child("conditions"), field.OmitValueType{}, fmt.Sprintf("cannot disable the terminal %s=True condition", string(cType))))
			}
		}
	}