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53 lines
1.9 KiB
53 lines
1.9 KiB
9 years ago
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/* Copyright (c) 2016 Baidu, Inc. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "LstmCompute.h"
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#include "hl_recurrent_apply.cuh"
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namespace paddle {
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template <>
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void LstmCompute::forwardBatch<1>(hl_lstm_value value, int frameSize,
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int batchSize) {
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hl_gpu_lstm_forward(hppl::forward::lstm(), value, frameSize,
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batchSize, activeNode_, activeGate_,
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activeState_);
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}
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template <>
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void LstmCompute::backwardBatch<1>(hl_lstm_value value, hl_lstm_grad grad,
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int frameSize, int batchSize) {
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hl_gpu_lstm_backward(hppl::backward::lstm(), value, grad,
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frameSize, batchSize, activeNode_,
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activeGate_, activeState_);
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}
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template <>
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void LstmCompute::forwardOneSequence<1>(hl_lstm_value value, int frameSize) {
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hl_gpu_lstm_forward(hppl::forward::lstm(), value,
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frameSize, /* batchSize */ 1,
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activeNode_, activeGate_, activeState_);
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}
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template <>
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void LstmCompute::backwardOneSequence<1>(hl_lstm_value value, hl_lstm_grad grad,
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int frameSize) {
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hl_gpu_lstm_backward(hppl::backward::lstm(), value, grad,
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frameSize, /* batchSize */ 1,
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activeNode_, activeGate_, activeState_);
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}
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} // namespace paddle
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