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@ -1087,8 +1087,6 @@ REGISTER_EVALUATOR(value_printer, ValuePrinter);
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*/
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class GradientPrinter : public Evaluator {
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public:
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GradientPrinter() {}
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virtual void eval(const NeuralNetwork& nn) {
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for (const std::string& name : config_.input_layers()) {
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const Argument& argu = nn.getLayer(name)->getOutput();
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@ -1097,11 +1095,6 @@ public:
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argu.grad->print(os);
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LOG(INFO) << "layer=" << name << " grad matrix:\n" << os.str();
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}
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if (auto startPos = argu.sequenceStartPositions) {
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std::ostringstream os;
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startPos->getVector(false)->print(os, startPos->getSize());
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LOG(INFO) << "layer=" << name << " sequence pos vector:\n" << os.str();
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}
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}
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}
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