return DenseIntElementsAttr::get(
      tensorflow::GetTypeFromTFTensorShape({shape[0]}, element_type), values);
}

// Returns interior padding to use in HLO Pad op based on the TensorFlow padding
// in TensorFlow PadV2 op.
static DenseIntElementsAttr GetInteriorPadding(ElementsAttr tf_padding) {
  auto length = tf_padding.getShapedType().getShape()[0];
  auto element_type = IntegerType::get(tf_padding.getContext(), 64);

    "SPLIT",
    "LOG_SOFTMAX",
    "DELEGATE",
    "BIDIRECTIONAL_SEQUENCE_LSTM",
    "CAST",
    "PRELU",
    "MAXIMUM",
    "ARG_MAX",
    "MINIMUM",
    "LESS",
    "NEG",
    "PADV2",
    "GREATER",
    "GREATER_EQUAL",
    "LESS_EQUAL",
    "SELECT",
    "SLICE",
    "SIN",
    "TRANSPOSE_CONV",
    "SPARSE_TO_DENSE",
    "TILE",
    "EXPAND_DIMS",

    SmallVector<unsigned, 4> GetLayoutDependentResults() { return {0}; }
    LogicalResult FoldOperandsPermutation(ArrayRef<int64_t> permutation);
  }];
}

def TF_PadV2Op : TF_Op<"PadV2", [Pure, TF_OperandHasRank<1, 2>]> {
  let summary = "Pads a tensor.";

  let description = [{
This operation pads `input` according to the `paddings` and `constant_values`