%flow_01 = "tf.TensorArrayScatterV3"(%handle_0, %indices, %input_0, %flow_0) {device = "/job:localhost/replica:0/task:0/device:CPU:0"} : (tensor<2x!tf_type.resource<tensor<?x100xf32>>>, tensor<?xi32>, tensor<?x?x?xf32>, tensor<f32>) -> tensor<f32>

 ShapeN 10
 Size 2
 Snapshot 1
 StackPopV2 314
 StackPushV2 314
 StackV2 314
 StridedSlice 12
 Sub 5
 Sum 2
 Switch 247
 TensorArrayGatherV3 8
 TensorArrayGradV3 17
 TensorArrayReadV3 9
 TensorArrayScatterV3 8
 TensorArraySizeV3 4
 TensorArrayV3 8
 TensorArrayWriteV3 9
 Unique 2
 VariableV2 164
 _Retval 5
cluster 0 size 440
 Abs 40
 AddN 1
 Any 41
 Cast 40
 ConcatV2 2
 Const 95

  %indices = "tf.Const"() {value = dense<[1, 2]> : tensor<2xi32>} : () -> tensor<2xi32>
  %values = "tf.Const"() {value = dense<[[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]> : tensor<2x3xf32>} : () -> tensor<2x3xf32>
  %write = "tf.TensorArrayScatterV3"(%ta#0, %indices, %values, %ta#1) : (tensor<!tf_type.resource>, tensor<2xi32>, tensor<2x3xf32>, tensor<f32>) -> tensor<f32>
  %size_out = "tf.TensorArraySizeV3"(%ta#0, %write) : (tensor<!tf_type.resource>, tensor<f32>) -> tensor<i32>

  // CHECK-NEXT: [[handle_2:%.*]] = "tf.TensorArrayScatterV3"
  %outputs_18 = "tf.TensorArrayScatterV3"(%outputs_16#0, %outputs_14, %arg0, %outputs_16#1) {device = ""} : (tensor<2x!tf_type.resource<tensor<*x!tf_type.string>>>, tensor<?xi32>, tensor<?x!tf_type.string>, tensor<f32>) -> tensor<f32>

      "Svd",
      "SymbolicGradient",
      "TensorArrayCloseV3",
      "TensorArrayConcatV3",
      "TensorArrayGatherV3",
      "TensorArrayGradV3",
      "TensorArrayReadV3",
      "TensorArrayScatterV3",
      "TensorArraySizeV3",
      "TensorArraySplitV3",
      "TensorArrayV3",
      "TensorArrayWriteV3",
      "TensorListConcatV2",
      "TensorListElementShape",

    Res<TF_Tensor, [{The tensor that is read from the TensorArray.}]>:$value
  );

  TF_DerivedResultTypeAttr dtype = TF_DerivedResultTypeAttr<0>;
}

def TF_TensorArrayScatterV3Op : TF_Op<"TensorArrayScatterV3", []> {
  let summary = [{
Scatter the data from the input value into specific TensorArray elements.
  }];

  let description = [{