}

    // Erases variable arguments from `batch_func_op`. `erase_indices` contains
    // the indices of the arguments to erase.
    void eraseArguments(const BitVector& erase_indices);

    // Gets the argument operands to the called function.
    operand_range getArgOperands() {
      // Merge `in_tensors` and `captured_tensors`. `operandSegmentSizes`

		t.Errorf("expected 2 validation errors. Got: %v", errs)
	} else {
		if got, expected := errs[0].Error(), "foo"; !strings.Contains(got, expected) {
			t.Errorf("unexpected errors: expected=%q, got=%q", expected, got)
		}
		if got, expected := errs[1].Error(), "foo"; !strings.Contains(got, expected) {
			t.Errorf("unexpected errors: expected=%q, got=%q", expected, got)
		}
	}

        layers during functional API construction should now work,
        e.g.`tf.image.ssim_multiscale`
    *   Error messages when Functional API construction goes wrong (and when ops
        cannot be converted to Keras layers automatically) should be clearer and
        easier to understand.
*   `Optimizer.minimize` can now accept a loss `Tensor` and a `GradientTape` as

              }
            ],
            "default": {},
            "description": "The specification for the PersistentVolumeClaim. The entire content is copied unchanged into the PVC that gets created from this template. The same fields as in a PersistentVolumeClaim are also valid here."
          }
        },
        "required": [
          "spec"
        ],
        "type": "object"
      },