func.return %2 : tensor<8x7x6x5x?x3x2x1xf32>
}

// -----

func.func @depthwise_conv_2D_invalid_bias(%arg0: tensor<1x224x224x3xf32>) -> tensor<1x112x112x32xf32> {
  %w = arith.constant dense<127.0> : tensor<32x3x3x3xf32>
  %b = arith.constant dense<0.0> : tensor<32x1xf32>

    ```mlir
    module {
      func @while_body {
        %input = "tf.IteratorGetNext"(...) {device = "/CPU:0"}: -> tensor<2x224x224x3xf32>
        %device_launch = "tf_device.cluster_func"(%input,...) {func = @_func,...)
        return ...
      }
      func @_func(%input: tensor<2x224x224x3xf32>, %filter: tensor<7x7x3x64xf32>) {