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Merge pull request #11738 from dkurt:dnn_batch_norm_fusion_base

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Alexander Alekhin 2018-06-10 17:12:04 +00:00
commit 8c4e0dfd13
1 changed files with 40 additions and 0 deletions
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40
modules/dnn/src/layers/batch_norm_layer.cpp
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@ -96,6 +96,46 @@ public:
shift = bias_; shift = bias_;
} }
virtual bool tryFuse(Ptr<Layer>& top) CV_OVERRIDE
{
Mat w, b;
top->getScaleShift(w, b);
if (w.empty() && b.empty())
return false;
const int numChannels = weights_.total();
const int numFusedWeights = w.total();
const int numFusedBias = b.total();
if ((numFusedWeights != numChannels && numFusedWeights != 1 && !w.empty()) ||
(numFusedBias != numChannels && numFusedBias != 1 && !b.empty()))
return false;
if (!w.empty())
{
w = w.reshape(1, 1);
if (numFusedWeights == 1)
{
multiply(weights_, w.at<float>(0), weights_);
multiply(bias_, w.at<float>(0), bias_);
}
else
{
multiply(weights_, w, weights_);
multiply(bias_, w, bias_);
}
}
if (!b.empty())
{
b = b.reshape(1, 1);
if (numFusedBias == 1)
add(bias_, b.at<float>(0), bias_);
else
add(bias_, b.reshape(1, 1), bias_);
}
return true;
}
bool getMemoryShapes(const std::vector<MatShape> &inputs, bool getMemoryShapes(const std::vector<MatShape> &inputs,
const int requiredOutputs, const int requiredOutputs,
std::vector<MatShape> &outputs, std::vector<MatShape> &outputs,