CassiniXu commented on a change in pull request #19044:
URL: https://github.com/apache/incubator-mxnet/pull/19044#discussion_r479992514
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File path: src/operator/numpy/np_pad_op-inl.h
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@@ -720,20 +729,44 @@ void NumpyPadOpImpl(const TBlob& in_data,
template<typename xpu>
void NumpyPadOpBackImpl(const TBlob& in_data,
const TBlob& out_data,
+ index_t* ishape,
+ index_t* oshape,
index_t dsize,
+ const NumpyPadParam& param,
const std::vector<OpReqType>& req,
mxnet_op::Stream<xpu> *s) {
- using namespace mxnet_op;
- using namespace mshadow;
- MSHADOW_TYPE_SWITCH_WITH_BOOL(out_data.type_flag_, DType, {
- MXNET_ASSIGN_REQ_SWITCH(req[0], req_type, {
- Kernel<pad_grad<xpu, req_type>, xpu>::Launch(
- s, dsize, out_data.dptr<DType>(), in_data.dptr<DType>());
- });
- });
+ using namespace mxnet_op;
+ using namespace mshadow;
+ int mode = param.mode;
+ int ndim = in_data.ndim();
+ MXNET_NDIM_SWITCH(ndim, NDim, {
+ mshadow::Shape<NDim*2> width;
+ int dimcounter = 0;
+ index_t* odptr = reinterpret_cast<index_t*>(oshape);
Review comment:
Thanks. I am trying to avoid using 'reinterpret_cast'.
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