提交 5fd49f66 编写于 作者: Y Yu Yang

Remove sequence information in GradientPrinter.

* it is not necessary, because user could print sequence info
  by ValuePrinter.
上级 6089b7c6
...@@ -929,8 +929,6 @@ REGISTER_EVALUATOR(value_printer, ValuePrinter); ...@@ -929,8 +929,6 @@ REGISTER_EVALUATOR(value_printer, ValuePrinter);
*/ */
class GradientPrinter : public Evaluator { class GradientPrinter : public Evaluator {
public: public:
GradientPrinter() {}
virtual void eval(const NeuralNetwork& nn) { virtual void eval(const NeuralNetwork& nn) {
for (const std::string& name : config_.input_layers()) { for (const std::string& name : config_.input_layers()) {
const Argument& argu = nn.getLayer(name)->getOutput(); const Argument& argu = nn.getLayer(name)->getOutput();
...@@ -939,11 +937,6 @@ public: ...@@ -939,11 +937,6 @@ public:
argu.grad->print(os); argu.grad->print(os);
LOG(INFO) << "layer=" << name << " grad matrix:\n" << os.str(); LOG(INFO) << "layer=" << name << " grad matrix:\n" << os.str();
} }
if (auto startPos = argu.sequenceStartPositions) {
std::ostringstream os;
startPos->getVector(false)->print(os, startPos->getSize());
LOG(INFO) << "layer=" << name << " sequence pos vector:\n" << os.str();
}
} }
} }
......
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