EXPECT_TRUE(clusters.empty());
}

TEST(XlaCompilationTest, RandomShape) {
  Scope root = Scope::NewRootScope().ExitOnError();
  Output shape_shape = ops::Const(root.WithOpName("shape_shape"), {2}, {1});
  Output shape =
      ops::RandomUniformInt(root.WithOpName("shape"), shape_shape,
                            ops::Const(root.WithOpName("minval"), 1),
                            ops::Const(root.WithOpName("maxval"), 20));

        if self.has_reshape():
          input_shape = input_tensor.shape
          if len(input_shape) == 3:
            reshape_shape = (input_shape[0], -1, self.bias_size)
          else:
            reshape_shape = (-1, self.bias_size)

          out = array_ops.reshape(out, reshape_shape)

        if self.has_bias():
          if self.use_biasadd:
            out = nn_ops.bias_add(out, self.bias)