141 lines
6.0 KiB
C++
141 lines
6.0 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2019 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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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, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author Yurii Shyrma, created on 14.02.2018
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//
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// implementation of operation for LSTM cell with peep hole connections:
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// http://www.bioinf.jku.at/publications/older/2604.pdf
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// S. Hochreiter and J. Schmidhuber. "Long Short-Term Memory". Neural Computation, 9(8):1735-1780, 1997.
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// and
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// https://research.google.com/pubs/archive/43905.pdf
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// Hasim Sak, Andrew Senior, and Francoise Beaufays. "Long short-term memory recurrent neural network architectures for large scale acoustic modeling." INTERSPEECH, 2014.
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#include <ops/declarable/helpers/lstm.h>
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#include <graph/VariableSpace.h>
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#include <ops/declarable/CustomOperations.h>
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#include <ops/declarable/helpers/transforms.h>
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#include <ops/declarable/helpers/legacy_helpers.h>
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#include <array/NDArrayList.h>
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#include <iterator>
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#include <helpers/MmulHelper.h>
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namespace sd {
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namespace ops {
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namespace helpers {
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/////////////////////////////////////////////////////////////////////////////
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void lstmBlockTimeLoop(const NDArray* maxSeqLength, const NDArray* xSeq, const NDArray* c0, const NDArray* y0,
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const NDArray* W, const NDArray* Wci, const NDArray* Wcf, const NDArray* Wco, const NDArray* b,
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const NDArray* iSeq, const NDArray* cSeq, const NDArray* fSeq, const NDArray* oSeq, const NDArray* zSeq,
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const NDArray* hSeq, const NDArray* ySeq, const std::vector<double>& params, const int dataFormat){
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int seqLen, bS, nIn, nOut;
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if(dataFormat == 0) {
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seqLen = xSeq->sizeAt(0);
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bS = xSeq->sizeAt(1);
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nIn = xSeq->sizeAt(2);
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nOut = iSeq->sizeAt(2);
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}
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else if(dataFormat == 1) {
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seqLen = xSeq->sizeAt(2);
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bS = xSeq->sizeAt(0);
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nIn = xSeq->sizeAt(1);
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nOut = iSeq->sizeAt(1);
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}
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else if(dataFormat == 2) {
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seqLen = xSeq->sizeAt(1);
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bS = xSeq->sizeAt(0);
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nIn = xSeq->sizeAt(2);
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nOut = iSeq->sizeAt(2);
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}
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const std::vector<Nd4jLong> inSliceShape({bS,nIn});
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const std::vector<Nd4jLong> outSliceShape({bS,nOut});
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auto c_t1 = const_cast<NDArray*>(c0);
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auto y_t1 = const_cast<NDArray*>(y0);
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// loop through time steps
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for (int t = 0; t < seqLen; ++t) {
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auto xt = timeSubset(xSeq, t, dataFormat);
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auto it = timeSubset(iSeq, t, dataFormat);
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auto ct = timeSubset(cSeq, t, dataFormat);
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auto ft = timeSubset(fSeq, t, dataFormat);
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auto ot = timeSubset(oSeq, t, dataFormat);
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auto zt = timeSubset(zSeq, t, dataFormat);
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auto ht = timeSubset(hSeq, t, dataFormat);
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auto yt = timeSubset(ySeq, t, dataFormat);
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helpers::lstmBlockCell(&xt, c_t1, y_t1, W, Wci, Wcf, Wco, b, &it, &ct, &ft, &ot, &zt, &ht, &yt, params);
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if(t != 0) {
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delete c_t1;
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delete y_t1;
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}
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if(t < seqLen - 1) {
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c_t1 = new NDArray(std::move(ct));
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y_t1 = new NDArray(std::move(yt));
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}
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}
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}
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//////////////////////////////////////////////////////////////////////////
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void lstmTimeLoop(sd::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,
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NDArray* h, NDArray* c, const std::vector<double>& params) {
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// x input [time x bS x nIn]
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// h0 initial cell output (at time step = 0) [bS x numProj], in case of projection=false -> numProj == numUnits !!!
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// c0 initial cell state (at time step = 0) [bS x numUnits],
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// Wx input-to-hidden weights, [nIn x 4*numUnits]
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// Wh hidden-to-hidden weights, [numProj x 4*numUnits]
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// Wc diagonal weights for peephole connections [3*numUnits]
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// Wp projection weights [numUnits x numProj]
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// b biases, [4*numUnits]
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// h cell outputs [time x bS x numProj], that is per each time step
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// c cell states [time x bS x numUnits] that is per each time step
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const int time = x->sizeAt(0);
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NDArray currentH(*h0);
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NDArray currentC(*c0);
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// loop through time steps
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for (int t = 0; t < time; ++t) {
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auto xt = (*x)({t,t+1, 0,0, 0,0});
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auto ht = (*h)({t,t+1, 0,0, 0,0});
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auto ct = (*c)({t,t+1, 0,0, 0,0});
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helpers::lstmCell(context, &xt,¤tH,¤tC, Wx,Wh,Wc,Wp, b, &ht, &ct, params);
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currentH.assign(ht);
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currentC.assign(ct);
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}
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}
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}
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}
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} |