// CHECK-SAME:   start_index_map = [0, 1]
  // CHECK-SAME:   index_vector_dim = 1
  // CHECK-SAME: indices_are_sorted = true
  // CHECK-SAME: slice_sizes = dense<[1, 1, 300]> : tensor<3xi64>

  %0 = "tf.XlaGather"(%arg0, %arg1, %cst) {dimension_numbers = "\0A\02\00\01\12\01\00\1A\02\00\01\20\01", indices_are_sorted = true} : (tensor<200x100x300xf32>, tensor<10x2xi32>, tensor<3xi64>) -> tensor<1x300x10xf32>
  func.return %0 : tensor<1x300x10xf32>

  }

  return GetI64ElementsAttr(normalized_sizes, builder);
}

//===----------------------------------------------------------------------===//
// XlaGather op utilities.
//===----------------------------------------------------------------------===//

bool HasValidGatherDims(StringAttr attr) {
  ::xla::GatherDimensionNumbers dims;