def forward(self, idxs, locs, data):
self.save_for_backward(idxs,)
nlocs = locs.new(*locs.size())
ndata = locs.new(*data.size())
if locs.is_cuda:
if not _extc.spnc_reorder_data(locs, data, idxs, nlocs, ndata, self.reverse):
raise Exception("Cuda error")
else:
_ext.spn_reorder_data(locs, data, idxs, nlocs, ndata, self.reverse)
return nlocs, ndata
def backward(self, grad_locs, grad_data):
idxs, = self.saved_tensors
nlocs = grad_locs.new(*grad_locs.size())
ndata = grad_data.new(*grad_data.size())
if grad_locs.is_cuda:
if not _ext.spnc_reorder_data(grad_locs, grad_data, idxs, nlocs,
ndata, 1 - self.reverse):
raise Exception("Cuda error")
else:
_ext.spn_reorder_data(grad_locs, grad_data, idxs, nlocs, ndata,
1 - self.reverse)
return idxs.new(idxs.size()).fill_(0), nlocs, ndata