未验证 提交 23741aa9 编写于 作者: T Tao Luo 提交者: GitHub

Merge pull request #5815 from tensor-tang/googlenet

remove the tmp buffer when merge grad
......@@ -294,22 +294,8 @@ void MKLDNNLayer::resetMergeGrad(MKLDNNMatrixPtr& out) {
srcs.push_back(*src);
}
// TODO(TJ): remove me when mkldnn sum support different formats
for (size_t i = 1; i < srcPDs.size(); ++i) {
CHECK(srcPDs[0] == srcPDs[i]);
}
tmpOutGrad_ = out;
tmpCvt_ = nullptr;
if (out->getPrimitiveDesc() != srcPDs[0]) {
tmpOutGrad_ = MKLDNNMatrix::create(srcPDs[0]);
tmpCvt_ = MKLDNNMatrix::createReorder(tmpOutGrad_, out);
CHECK(tmpCvt_);
pipelineMergeGrad_.push_back(*tmpCvt_);
}
auto sumPD =
sum::primitive_desc(tmpOutGrad_->getMemoryDesc(), scales, srcPDs);
mergeGrad_.reset(new sum(sumPD, srcs, *tmpOutGrad_));
auto sumPD = sum::primitive_desc(out->getMemoryDesc(), scales, srcPDs);
mergeGrad_.reset(new sum(sumPD, srcs, *out));
pipelineMergeGrad_.insert(pipelineMergeGrad_.begin(), *mergeGrad_);
}
......
......@@ -94,11 +94,6 @@ protected:
std::vector<mkldnn::primitive> pipelineMergeGrad_;
// tmp input argument to save input grad, only used to merge grad
Argument tmpInArg_;
// since mkldnn sum do not support different formats:
// can refer to https://github.com/01org/mkl-dnn/issues/134
// so need create reorder manually and save tmp MKLDNNMatrix
MKLDNNMatrixPtr tmpOutGrad_;
std::shared_ptr<mkldnn::primitive> tmpCvt_;
public:
explicit MKLDNNLayer(const LayerConfig& config)
......
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