func.func @quantized_dot_general_not_converted(%arg0: tensor<1x1x512xf32>, %arg1: tensor<512x512x!quant.uniform<i8:f32, 0.00285>>) -> tensor<1x1x512xf32> {
  %0 = "mhlo.dot_general"(%arg0, %arg1) {
    dot_dimension_numbers = #mhlo.dot<
      lhs_contracting_dimensions = [2],
      rhs_contracting_dimensions = [0]
    >} : (tensor<1x1x512xf32>, tensor<512x512x!quant.uniform<i8:f32, 0.00285>>) -> tensor<1x1x512xf32>
  func.return %0 : tensor<1x1x512xf32>
}

}

// -----

// CHECK-LABEL: @conv2d_backprop_filter_grouped
func.func @conv2d_backprop_filter_grouped(
    %input: tensor<1x2x2x2xf32>,
    %out_backprop: tensor<1x1x1x2xf32>
  ) -> tensor<2x2x1x2xf32> {

  // CHECK: mhlo.convolution(%arg0, %arg1)
  // CHECK-SAME:  batch_group_count = 2 : i64
  // CHECK-SAME:  feature_group_count = 1 : i64