提交 c94b2755 编写于 作者: W wanghaoshuang

fix conv layer reshape

上级 0d26a158
......@@ -87,9 +87,6 @@ void ConvBaseProjection::initCudnn() {
bwdDataLimitBytes_ = 0;
bwdFilterLimitBytes_ = 0;
workSpaceInBytes_ = 0;
batchNum_ = 0;
isSelectAlgo_ = false;
}
void ConvBaseProjection::reshapeTensorDesc(int batchSize) {
......@@ -142,10 +139,6 @@ void ConvBaseProjection::reshape(int batchSize) {
CHECK_EQ(width, out_->value->getWidth());
CHECK_EQ(calInputSize(), in_->value->getWidth());
isSelectAlgo_ = (batchSize == batchNum_);
batchNum_ = batchSize;
if (!isSelectAlgo_) {
reshapeTensorDesc(batchSize);
hl_conv_workspace(imageDesc_,
outputDesc_,
......@@ -165,9 +158,6 @@ void ConvBaseProjection::reshape(int batchSize) {
VLOG(3) << getName() << " Fwd / BwdData / BwdFilter algo: " << fwdAlgo_
<< " / " << bwdDataAlgo_ << " / " << bwdFilterAlgo_;
}
isSelectAlgo_ = true;
}
void *ConvBaseProjection::getSpaceBytes(size_t size) {
......
......@@ -101,12 +101,6 @@ protected:
size_t bwdFilterLimitBytes_;
/// Size of total work space.
size_t workSpaceInBytes_;
/// Whether to call cuDNN api to choose conv algorithm.
bool isSelectAlgo_;
/// batchNum is used to record batch size. If the batch size is changed,
/// the selection algorithm will be called.
int batchNum_;
bool bias_;
std::unique_ptr<Weight> weight_;
......
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