What will mxnet convolution do if the dilate shape is greater than the input shape

[shuokay]

For example, the input shape is (1,100) and the dilate is (3, 3).

I have tried to set the dilate to (1,3), and the error is
mxnet/mshadow/mshadow/././extension/pack_col2patch.h:53: Check failed: (sshape[1]) == (o_height * o_width * imshape.ProdShape(0, dstdim - 3)) PackColToPatchEx p: src.size(1) mismatch

[feiyulv]

That may be a bug in the backward of dilation convolution
change the following code of convolution-inl.h:246

      if (param_.pad[0] == 0 && param_.pad[1] == 0) {
        Assign(gdata.Slice(i, i + step), req[conv::kData],
               pack_col2patch(temp_col,
                              data.Slice(i, i + step).shape_,
                              param_.kernel[0],
                              param_.kernel[1],
                              param_.stride[0],
                              param_.dilate[0]));
      } else {
        Shape<4> pshape = data.Slice(i, i + step).shape_;
        pshape[2] += 2 * param_.pad[0];
        pshape[3] += 2 * param_.pad[1];
        Assign(gdata.Slice(i, i + step), req[conv::kData],
               crop(pack_col2patch(temp_col,
                                   pshape,
                                   param_.kernel[0],
                                   param_.kernel[1],
                                   param_.stride[0],
                                   param_.dilate[0]),
                    gdata[i][0].shape_));
      }

to

  if (param_.pad[0] == 0 && param_.pad[1] == 0) {
        Assign(gdata.Slice(i, i + step), req[conv::kData],
               pack_col2patch(temp_col,
                              data.Slice(i, i + step).shape_,
                              param_.kernel[0],
                              param_.kernel[1],
                              param_.stride[0],
                              param_.stride[1],
                              param_.dilate[0],
                              param_.dilate[1]));
      } else {
        Shape<4> pshape = data.Slice(i, i + step).shape_;
        pshape[2] += 2 * param_.pad[0];
        pshape[3] += 2 * param_.pad[1];
        Assign(gdata.Slice(i, i + step), req[conv::kData],
               crop(pack_col2patch(temp_col,
                                   pshape,
                                   param_.kernel[0],
                                   param_.kernel[1],
                                   param_.stride[0],
                                   param_.stride[1],
                                   param_.dilate[0],
                                   param_.dilate[1]),
                    gdata[i][0].shape_));
      }

[winstywang]

@feiyulv Could you submit a PR on this?

[winstywang]

It may relate to this PR: #2365

[feiyulv]

@winstywang yes, the same problem

[winstywang]

@feiyulv Could you submit a PR on this? The old PR is inactive for a long time.

[yajiedesign]

This issue is closed due to lack of activity in the last 90 days. Feel free to reopen if this is still an active issue. Thanks!