"type": "string"
          },
          "replicas": {

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

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

  let results = (outs

	case OpAMD64ADDLmodify:
		return rewriteValueAMD64_OpAMD64ADDLmodify(v)
	case OpAMD64ADDQ:
		return rewriteValueAMD64_OpAMD64ADDQ(v)
	case OpAMD64ADDQcarry:
		return rewriteValueAMD64_OpAMD64ADDQcarry(v)
	case OpAMD64ADDQconst:
		return rewriteValueAMD64_OpAMD64ADDQconst(v)
	case OpAMD64ADDQconstmodify:
		return rewriteValueAMD64_OpAMD64ADDQconstmodify(v)
	case OpAMD64ADDQload:
		return rewriteValueAMD64_OpAMD64ADDQload(v)

          },
          "group": {
            "description": "group is the preferred group of the resource.  Empty implies the group of the containing resource list. For subresources, this may have a different value, for example: Scale\".",
            "type": "string"
          },
          "kind": {
            "default": "",
            "description": "kind is the kind for the resource (e.g. 'Foo' is the kind for a resource 'foo')",

                            description: Flag to specify whether the URI matching
                              should be case-insensitive.
                            type: boolean
                          method:
                            description: 'HTTP Method values are case-sensitive and
                              formatted as follows: - `exact: "value"` for exact string

`Policy` optionally took in a `tf.compat.v1.mixed_precision.LossScale` in the constructor, which defaulted to a dynamic loss scale for the `"mixed_float16"` policy and no loss scale for other policies. In `Model.compile`, if the model's policy had a loss scale, the optimizer would be wrapped with a `LossScaleOptimizer`. With the non-experimental `Policy`, there is no loss scale associated with the `Policy`, and `Model.compile` wraps the optimizer with a `LossScaleOptimizer` if and only if the policy...