func.return %result : tensor<2x8x8x8x1xf32>
}

// -----

// CHECK-LABEL: @conv2d_backprop_filter
func.func @conv2d_backprop_filter(
    %input: tensor<100x28x28x1xf32>,
    %out_backprop: tensor<100x26x26x32xf32>
  ) -> tensor<3x3x1x32xf32> {
  // CHECK: %[[RESULT:.*]] = mhlo.convolution(%arg0, %arg1)

    std::vector<int64_t> explicit_paddings;
    if (padding == tensorflow::Padding::EXPLICIT) {
      // EXPLICIT padding mode and the associated attribute is limited to
      // Conv2DBackpropFilter. So, fetch attribute by identifier instead of the
      // op.explicit_paddings() attribute getter.
      ArrayRef<Attribute> explicit_paddings_attr =