if (!reshape_op) return failure();

    // Check if the last dimension does not change after reshape.
    auto reshape_input = reshape_op.getInput();
    auto reshape_input_ty = mlir::dyn_cast<ShapedType>(reshape_input.getType());
    if (!reshape_input_ty.hasStaticShape() || input_ty.getRank() == 0 ||
        reshape_input_ty.getRank() == 0 ||

                     Type element_type) {
  Value shape_cst = BuildIntArrayConstOp(builder, rewriter, shape, idx_type);
  Value reshaped_input = builder.create<TF::ReshapeOp>(
      RankedTensorType::get(shape, element_type), input, shape_cst);
  return reshaped_input;
}

// Create a tensor which is equal to input[begin: begin + size].
Value BuildSliceOp(ImplicitLocOpBuilder& builder,