message: fix effrank assert to allow input effrank <= output effrank
diff: @@ -52,14 +52,19 @@ namespace cv { namespace dnn { namespace cuda4dnn {
  auto output_wrapper = outputs[0].dynamicCast<wrapper_type>();
  auto output = output_wrapper->getSpan();
  - auto effective_rank = get_effective_rank(input);
  - CV_Assert(get_effective_rank(input) == get_effective_rank(output));
  -
  /* suppose we require padding for the first spatial axis (H in NCHW or D in NCDHW)
  *
  * there could be a case where the batch axis, channel axis, and the first spatial axis are all one
  * this would result in effective rank being less than the number of axes requiring padding
  */
  + /* the effective rank of the input may be smaller than the effective rank of the output but the converse is never true
  + * input: [1, 1, 1, 3]; effective rank = 1
  + * output: [1, 1, 3, 3]; effective rank = 2
  + *
  + * hence, we use the effective rank of the output tensor for the padding operation
  + */
  + auto effective_rank = get_effective_rank(output);
  + CV_Assert(get_effective_rank(input) <= effective_rank);
  effective_rank = std::max(effective_rank, dstRanges.size());
  for (int i = effective_rank - dstRanges.size(); i < effective_rank; i++)
  