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);
*/
class GradientPrinter : public Evaluator {
public:
GradientPrinter() {}
virtual void eval(const NeuralNetwork& nn) {
for (const std::string& name : config_.input_layers()) {
const Argument& argu = nn.getLayer(name)->getOutput();
......@@ -939,11 +937,6 @@ public:
argu.grad->print(os);
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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