}

// -----

func.func @unsorted_segment_sum(%arg0: tensor<8xf32>, %arg1: tensor<8xi32>) -> tensor<8xf32> {
  %num_segments = "tf.Const"() {value = dense<8> : tensor<i32>} : () -> tensor<i32>
  %0 = "tf.UnsortedSegmentSum"(%arg0, %arg1, %num_segments) : (tensor<8xf32>, tensor<8xi32>, tensor<i32>) -> tensor<8xf32>
  func.return %0 : tensor<8xf32>
  // CHECK-LABEL: unsorted_segment_sum

      "UniformRequantize",
      "Unique",
      "UniqueV2",
      "UpperBound",
      "UnsortedSegmentMax",
      "UnsortedSegmentMin",
      "UnsortedSegmentProd",
      "UnsortedSegmentSum",
      "VarIsInitializedOp",
      "VariableShape",
      "Where",
      "While",
      "XlaAllReduce",
      "XlaBroadcastHelper",
      "XlaCallModule",
      "XlaConcatND",

}

def TFL_UnsortedSegmentSumOp: TFL_Op<"unsorted_segment_sum", [
    Pure, PredOpTrait<"input and output must have same element type",
      TFL_TCresVTEtIsSameAsOp<0, 0>>]> {

  let summary = "UnsortedSegmentSum operator";

  let description = [{
    From a tensor segmentation, computes the `output` resulting from
    summing together elements mapped to the same segment_id. I.e. `output[i]` is

  // CHECK:   mhlo.return [[ADD]]
  // CHECK-NEXT: (tensor<4x64xf32>, tensor<8x16xi32>, tensor<8x16x64xf32>) -> tensor<4x64xf32>
  // CHECK: return [[SCATTER]]
  %0 = "tf.UnsortedSegmentSum"(%data, %segment_ids, %num_segments) : (tensor<8x16x64xf32>, tensor<8x16xi32>, tensor<i32>) -> (tensor<4x64xf32>)
  func.return %0: tensor<4x64xf32>
}

// -----

// CHECK-LABEL: @unsorted_segment_prod

  TF_DerivedOperandTypeAttr Tnumsegments = TF_DerivedOperandTypeAttr<2>;

  let hasVerifier = 1;
}

def TF_UnsortedSegmentSumOp : TF_Op<"UnsortedSegmentSum", [Pure]> {
  let summary = "Computes the sum along segments of a tensor.";

  let description = [{
Read
[the section on segmentation](https://tensorflow.org/api_docs/python/tf/math#Segmentation)

        *   `tf.einsum` is supported with multiple unknown shapes.
        *   `tf.unsortedsegmentprod` op is supported.
        *   `tf.unsortedsegmentmax` op is supported.
        *   `tf.unsortedsegmentsum` op is supported.
    *   Updates to existing operations:
        *   `tfl.scatter_nd` now supports I1 for the `update` arg.
    *   Upgrade Flatbuffers v2.0.5 from v1.12.0

*   `tf.keras`: