colors are first mapped into HSV. A delta is then applied all the hue values,
and then remapped back to RGB colorspace.
  }];

  let arguments = (ins
    Arg<TensorOf<[TF_Float16, TF_Float32]>, [{Images to adjust.  At least 3-D.}]>:$images,
    Arg<TF_Float32Tensor, [{A float delta to add to the hue.}]>:$delta
  );

  let results = (outs

		}
		if v.ExpectError {
			if len(errs) == 0 {
				t.Errorf("Testcase %s - expected error, got success", k)
			}
			delta := cmp.Diff(errs, v.Errors)
			if delta != "" {
				t.Errorf("Testcase %s - expected errors '%v', got '%v', diff: '%v'", k, v.Errors, errs, delta)
			}
		}
	}
}

func getResourceLimits(cpu, memory string) core.ResourceList {
	res := core.ResourceList{}

## Breaking Changes to the API

*   `AdjustContrast` kernel deprecated, new kernel `AdjustContrastv2` takes and
    outputs float only. `adjust_contrast` now takes all data types.
*   `adjust_brightness`'s `delta` argument is now always assumed to be in
    `[0,1]` (as is the norm for images in floating point formats), independent
    of the data type of the input image.