6ddf825a4aa1bcf3a35bba8d36bc433fe5ebaa39,torchsample/utils.py,,th_nearest_interp_3d,#Any#Any#,285

Before Change

                          zc.round().long()], 2)

    // gather image values at coordinates
    mapped_vals = torch.stack([th_gather_nd(input[i], coords[i])
                    for i in range(input.size(0))], 0)

    return mapped_vals.view_as(input)

After Change

    // take clamp of coords so they"re in the image bounds
    coords[:,0] = torch.clamp(coords[:,0], 0, input.size(1)-1).round()
    coords[:,1] = torch.clamp(coords[:,1], 0, input.size(2)-1).round()
    coords[:,2] = torch.clamp(coords[:,2], 0, input.size(3)-1).round()

    stride = torch.LongTensor(input.stride())[1:].float()
    idx = coords.mv(stride)

Instances