return %result : tensor<?x512x512x1xf32>
}

// -----

// CHECK-LABEL: @conv2d_backprop_input
func.func @conv2d_backprop_input(
    %filter: tensor<3x3x1x32xf32>,
    %out_backprop: tensor<100x26x26x32xf32>
  ) -> tensor<100x28x28x1xf32> {
    // CHECK: %[[REV_FILTER:.*]] = "mhlo.reverse"(%arg0) <{dimensions = dense<[0, 1]> : tensor<2xi64>}>
    // CHECK: %[[RESULT:.*]] = mhlo.convolution(%arg1, %[[REV_FILTER]])