explicit_paddings = [],
    padding = "VALID",
    strides = [1, 1, 1, 1],
    use_cudnn_on_gpu = true
  } : (tensor<100x28x28x1xf32>, tensor<4xi32>, tensor<100x26x26x32xf32>) -> tensor<3x3x1x32xf32>
  func.return %result : tensor<3x3x1x32xf32>
}

// -----

// CHECK-LABEL: @conv2d_backprop_filter_grouped
func.func @conv2d_backprop_filter_grouped(
    %input: tensor<1x2x2x2xf32>,