/******************************************************************************* * Copyright (c) 2015-2019 Skymind, Inc. * * This program and the accompanying materials are made available under the * terms of the Apache License, Version 2.0 which is available at * https://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. * * SPDX-License-Identifier: Apache-2.0 ******************************************************************************/ // // @author Yurii Shyrma, created on 14.02.2018 // // implementation of operation for LSTM cell with peep hole connections: // http://www.bioinf.jku.at/publications/older/2604.pdf // S. Hochreiter and J. Schmidhuber. "Long Short-Term Memory". Neural Computation, 9(8):1735-1780, 1997. // and // https://research.google.com/pubs/archive/43905.pdf // Hasim Sak, Andrew Senior, and Francoise Beaufays. "Long short-term memory recurrent neural network architectures for large scale acoustic modeling." INTERSPEECH, 2014. #include #include #include #include #include #include #include #include namespace nd4j { namespace ops { namespace helpers { ///////////////////////////////////////////////////////////////////////////// void lstmBlockTimeLoop(const NDArray* maxSeqLength, const NDArray* xSeq, const NDArray* c0, const NDArray* y0, const NDArray* W, const NDArray* Wci, const NDArray* Wcf, const NDArray* Wco, const NDArray* b, const NDArray* iSeq, const NDArray* cSeq, const NDArray* fSeq, const NDArray* oSeq, const NDArray* zSeq, const NDArray* hSeq, const NDArray* ySeq, const std::vector& params, const int dataFormat){ int seqLen, bS, nIn, nOut; if(dataFormat == 0) { seqLen = xSeq->sizeAt(0); bS = xSeq->sizeAt(1); nIn = xSeq->sizeAt(2); nOut = iSeq->sizeAt(2); } else if(dataFormat == 1) { seqLen = xSeq->sizeAt(2); bS = xSeq->sizeAt(0); nIn = xSeq->sizeAt(1); nOut = iSeq->sizeAt(1); } else if(dataFormat == 2) { seqLen = xSeq->sizeAt(1); bS = xSeq->sizeAt(0); nIn = xSeq->sizeAt(2); nOut = iSeq->sizeAt(2); } const std::vector inSliceShape({bS,nIn}); const std::vector outSliceShape({bS,nOut}); auto c_t1 = const_cast(c0); auto y_t1 = const_cast(y0); // loop through time steps for (int t = 0; t < seqLen; ++t) { auto xt = timeSubset(xSeq, t, dataFormat); auto it = timeSubset(iSeq, t, dataFormat); auto ct = timeSubset(cSeq, t, dataFormat); auto ft = timeSubset(fSeq, t, dataFormat); auto ot = timeSubset(oSeq, t, dataFormat); auto zt = timeSubset(zSeq, t, dataFormat); auto ht = timeSubset(hSeq, t, dataFormat); auto yt = timeSubset(ySeq, t, dataFormat); helpers::lstmBlockCell(&xt, c_t1, y_t1, W, Wci, Wcf, Wco, b, &it, &ct, &ft, &ot, &zt, &ht, &yt, params); if(t != 0) { delete c_t1; delete y_t1; } if(t < seqLen - 1) { c_t1 = new NDArray(std::move(ct)); y_t1 = new NDArray(std::move(yt)); } } } ////////////////////////////////////////////////////////////////////////// void lstmTimeLoop(nd4j::LaunchContext * context, const NDArray* x, const NDArray* h0, const NDArray* c0, const NDArray* Wx, const NDArray* Wh, const NDArray* Wc, const NDArray* Wp, const NDArray* b, NDArray* h, NDArray* c, const std::vector& params) { // x input [time x bS x nIn] // h0 initial cell output (at time step = 0) [bS x numProj], in case of projection=false -> numProj == numUnits !!! // c0 initial cell state (at time step = 0) [bS x numUnits], // Wx input-to-hidden weights, [nIn x 4*numUnits] // Wh hidden-to-hidden weights, [numProj x 4*numUnits] // Wc diagonal weights for peephole connections [3*numUnits] // Wp projection weights [numUnits x numProj] // b biases, [4*numUnits] // h cell outputs [time x bS x numProj], that is per each time step // c cell states [time x bS x numUnits] that is per each time step const int time = x->sizeAt(0); NDArray currentH(*h0); NDArray currentC(*c0); // loop through time steps for (int t = 0; t < time; ++t) { auto xt = (*x)({t,t+1, 0,0, 0,0}); auto ht = (*h)({t,t+1, 0,0, 0,0}); auto ct = (*c)({t,t+1, 0,0, 0,0}); helpers::lstmCell(context, &xt,¤tH,¤tC, Wx,Wh,Wc,Wp, b, &ht, &ct, params); currentH.assign(ht); currentC.assign(ct); } } } } }