}
	// match: (Move {t1} [n] dst1 src1 store:(Store {t2} op:(OffPtr [o2] dst2) _ mem))
	// cond: isSamePtr(dst1, dst2) && store.Uses == 1 && n >= o2 + t2.Size() && disjoint(src1, n, op, t2.Size()) && clobber(store)
	// result: (Move {t1} [n] dst1 src1 mem)
	for {
		n := auxIntToInt64(v.AuxInt)
		t1 := auxToType(v.Aux)
		dst1 := v_0
		src1 := v_1
		store := v_2
		if store.Op != OpStore {
			break
		}

		{"(*Int64).Load", Method, 19},
		{"(*Int64).Store", Method, 19},
		{"(*Int64).Swap", Method, 19},
		{"(*Pointer).CompareAndSwap", Method, 19},
		{"(*Pointer).Load", Method, 19},
		{"(*Pointer).Store", Method, 19},
		{"(*Pointer).Swap", Method, 19},
		{"(*Uint32).Add", Method, 19},
		{"(*Uint32).CompareAndSwap", Method, 19},
		{"(*Uint32).Load", Method, 19},
		{"(*Uint32).Store", Method, 19},

    *   Provided a new `experimental_skip_saver` argument which, if specified, will suppress the addition of `SavedModel`-native save and restore ops to the `SavedModel`, for cases where users already build custom save/restore ops and checkpoint formats for the model being saved, and the creation of the SavedModel-native save/restore ops simply cause longer model serialization times.

* Add ops to `tensorflow.raw_ops` that were missing.

* `tf.CheckpointOptions`

V1 might be deprecated and eventually removed.

By default, restores the named tensors in full.  If the caller wishes to restore
specific slices of stored tensors, "shape_and_slices" should be non-empty
strings and correspondingly well-formed.

Callers must ensure all the named tensors are indeed stored in the checkpoint.
  }];

  let arguments = (ins

	v_0 := v.Args[0]
	// match: (Store {t} ptr val mem)
	// cond: t.Size() == 1
	// result: (MOVBstore ptr val mem)
	for {
		t := auxToType(v.Aux)
		ptr := v_0
		val := v_1
		mem := v_2
		if !(t.Size() == 1) {
			break
		}
		v.reset(OpARM64MOVBstore)
		v.AddArg3(ptr, val, mem)
		return true
	}
	// match: (Store {t} ptr val mem)
	// cond: t.Size() == 2

	}
	// match: (Store {t} ptr val mem)
	// cond: t.Size() == 8 && !t.IsFloat()
	// result: (MOVQstore ptr val mem)
	for {
		t := auxToType(v.Aux)
		ptr := v_0
		val := v_1
		mem := v_2
		if !(t.Size() == 8 && !t.IsFloat()) {
			break
		}
		v.reset(OpAMD64MOVQstore)
		v.AddArg3(ptr, val, mem)
		return true
	}
	// match: (Store {t} ptr val mem)

            "additionalProperties": {
              "default": "",
              "type": "string"
            },
            "description": "Annotations is an unstructured key value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations",

            "additionalProperties": {
              "default": "",
              "type": "string"
            },
            "description": "Annotations is an unstructured key value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations",