You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
85 lines
2.7 KiB
85 lines
2.7 KiB
/* Copyright (c) 2016 Baidu, Inc. All Rights Reserve.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License. */
|
|
|
|
#include "paddle/utils/Logging.h"
|
|
#include "SequencePoolLayer.h"
|
|
|
|
namespace paddle {
|
|
|
|
bool SequencePoolLayer::init(const LayerMap& layerMap,
|
|
const ParameterMap& parameterMap) {
|
|
/* Initialize the basic parent class */
|
|
Layer::init(layerMap, parameterMap);
|
|
|
|
// seqlastins/max/average layer should have exactly 1 input
|
|
CHECK_EQ(1U, inputLayers_.size());
|
|
|
|
/* initialize biases_ */
|
|
if (biasParameter_.get() != NULL) {
|
|
biases_ = std::unique_ptr<Weight>(new Weight(1, getSize(), biasParameter_));
|
|
}
|
|
// transform to which sequence type
|
|
if (config_.trans_type() == "non-seq") {
|
|
type_ = kNonSeq;
|
|
} else if (config_.trans_type() == "seq") {
|
|
type_ = kSeq;
|
|
} else {
|
|
LOG(FATAL) << "Unknown trans_type: " << config_.trans_type();
|
|
}
|
|
setNeedSequenceInfo(false);
|
|
return true;
|
|
}
|
|
|
|
void SequencePoolLayer::forward(PassType passType) {
|
|
Layer::forward(passType);
|
|
|
|
const Argument& input = getInput(0);
|
|
newBatchSize_ = type_ ? input.getNumSubSequences() : input.getNumSequences();
|
|
size_t dim = getSize();
|
|
// check
|
|
CHECK_EQ(dim, input.value->getWidth());
|
|
startPositions_ =
|
|
type_ ? input.subSequenceStartPositions : input.sequenceStartPositions;
|
|
auto starts = startPositions_->getVector(false);
|
|
CHECK_EQ(starts->getData()[newBatchSize_], input.getBatchSize());
|
|
CHECK_EQ(newBatchSize_, starts->getSize() - 1);
|
|
|
|
resetOutput(newBatchSize_, dim);
|
|
if (type_) {
|
|
CHECK(input.subSequenceStartPositions)
|
|
<< "when trans_type = seq, input must hasSubseq";
|
|
}
|
|
/* If type_ = kNonSeq, both seq has or not has sub-seq degrade to a non-seq,
|
|
* thus, in this case, output_ has no sequenceStartPositions.
|
|
* If type_ = kSeq, seq has sub-seq degrades to a seq, thus, only in this
|
|
* case, we should compute the new sequenceStartPositions.
|
|
*/
|
|
if (type_) {
|
|
output_.degradeSequence(input, useGpu_);
|
|
}
|
|
}
|
|
|
|
void SequencePoolLayer::backward(const UpdateCallback& callback) {
|
|
/* Do derivation */ { backwardActivation(); }
|
|
|
|
if (biases_ && biases_->getWGrad()) {
|
|
biases_->getWGrad()->collectBias(*getOutputGrad(), 1);
|
|
|
|
// Increasing the number of gradient
|
|
biases_->getParameterPtr()->incUpdate(callback);
|
|
}
|
|
}
|
|
|
|
} // namespace paddle
|