func.return %0 : tensor<4x128xf32>
  }
  func.func @_func(%arg0: tensor<4x128xf32>) -> tensor<4x128xf32> {
    func.return %arg0 : tensor<4x128xf32>
  }

  %cst2 = arith.constant dense<2.0> : tensor<1x1x128xf32>

  %0 = "tfl.fully_connected" (%arg0, %arg1, %cst) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<1024x1x126xf32>, tensor<128x126xf32>, none) -> (tensor<1024x1x128xf32>)
  %1 = "tfl.add"(%0, %cst2) {fused_activation_function = "NONE"} : (tensor<1024x1x128xf32>, tensor<1x1x128xf32>) -> tensor<1024x1x128xf32>

}

// -----

func.func @testBatchToSpaceInvalidInputBatch(%arg0: tensor<2x4x6x8xf32>, %arg1: tensor<*xi32>) {
  // expected-error @+1 {{'tf.BatchToSpace' op requires input batch (dimension 0) to be evenly divisible by (block_size * block_size), but got input batch 2 and block_size 2}}
  %0 = "tf.BatchToSpace"(%arg0, %arg1) {block_size = 2 : i64} : (tensor<2x4x6x8xf32>, tensor<*xi32>) -> tensor<*xf32>
  func.return
}

// -----