161 lines
9.0 KiB
C++
161 lines
9.0 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 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 05.04.2018
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//
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#include <ops/declarable/CustomOperations.h>
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#include<ops/declarable/helpers/rnn.h>
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namespace nd4j {
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namespace ops {
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//////////////////////////////////////////////////////////////////////////
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CUSTOM_OP_IMPL(dynamic_rnn, 4, 2, false, 0, 0) {
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auto x = INPUT_VARIABLE(0); // input [time x bS x inSize] or [bS x time x inSize], depends on timeMajor parameter
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auto Wx = INPUT_VARIABLE(1); // input-to-hidden weights, [inSize x numUnits]
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auto Wh = INPUT_VARIABLE(2); // hidden-to-hidden weights, [numUnits x numUnits]
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auto b = INPUT_VARIABLE(3); // biases for, [2*numUnits]
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NDArray* h0 = nullptr; // initial cell output (at time step = 0) [bS x numUnits]
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NDArray* maxTimeStep = nullptr; // vector [bS] containing integer values within [0,time), each element of this vector set max time step per each input in batch, this means there are no calculations for time >= maxTimeStep
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const int timeMajor = block.getIArguments()->size() > 0 ? INT_ARG(0) : 0; // if true then [time, bS, ...], else [bS, time, ...]
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if(block.width() == 5) {
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if ((*INPUT_VARIABLE(4)).rankOf() == 2)
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h0 = INPUT_VARIABLE(4);
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else
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maxTimeStep = INPUT_VARIABLE(4);
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}
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else if(block.width() == 6) {
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h0 = INPUT_VARIABLE(4);
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maxTimeStep = INPUT_VARIABLE(5);
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}
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auto h = OUTPUT_VARIABLE(0); // cell outputs [time x bS x numUnits] or [bS x time x numUnits], depends on timeMajor parameter
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auto hFinal = OUTPUT_VARIABLE(1); // at the end it will store cell final non-zero output [bS x numUnits]
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REQUIRE_TRUE(x->rankOf() == 3, 0, "DYNAMIC_RNN custom operation: input array x must have rank = 3, but got %i instead !", x->rankOf());
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REQUIRE_TRUE(Wx->rankOf() == 2, 0, "DYNAMIC_RNN custom operation: input-to-hidden weights array must have rank = 2, but got %i instead !", Wx->rankOf());
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const int inRank = x->rankOf();
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const int time = timeMajor ? x->sizeAt(0) : x->sizeAt(1);
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const int bS = timeMajor ? x->sizeAt(1) : x->sizeAt(0);
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const int numUnits = Wx->sizeAt(1);
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REQUIRE_TRUE(ShapeUtils::shapeAsString(Wh) == ShapeUtils::shapeAsString({numUnits, numUnits}), 0, "DYNAMIC_RNN custom operation: wrong shape of hidden-to-hidden weights array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString({numUnits, numUnits}).c_str(), ShapeUtils::shapeAsString(Wh).c_str());
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REQUIRE_TRUE(ShapeUtils::shapeAsString(b) == ShapeUtils::shapeAsString({2*numUnits}), 0, "DYNAMIC_RNN custom operation: wrong shape of biases array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString({2*numUnits}).c_str(), ShapeUtils::shapeAsString(b).c_str());
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if(h0)
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REQUIRE_TRUE(ShapeUtils::shapeAsString(h0) == ShapeUtils::shapeAsString({bS, numUnits}), 0, "DYNAMIC_RNN custom operation: wrong shape of initial cell output array, expected is %s but got %s instead !", ShapeUtils::shapeAsString({bS, numUnits}).c_str(), ShapeUtils::shapeAsString(h0).c_str());
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if(maxTimeStep)
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REQUIRE_TRUE(ShapeUtils::shapeAsString(maxTimeStep) == ShapeUtils::shapeAsString({bS}), 0, "DYNAMIC_RNN custom operation: wrong shape of maxTimeStep array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString({bS}).c_str(), ShapeUtils::shapeAsString(maxTimeStep).c_str());
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if(timeMajor == false) {
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x = new NDArray(x->permute({1, 0, 2})); // [bS x time x inSize] -> [time x bS x inSize]
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h = new NDArray(h->permute({1, 0, 2})); // [bS x time x numUnits] -> [time x bS x numUnits]
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}
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helpers::rnnTimeLoop(block.launchContext(), x, Wx, Wh, b, h0, maxTimeStep, h, hFinal);
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if(timeMajor == false) {
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delete x;
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delete h;
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}
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return Status::OK();
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}
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DECLARE_TYPES(dynamic_rnn) {
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getOpDescriptor()
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->setAllowedInputTypes(0, nd4j::DataType::ANY)
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->setAllowedInputTypes(1, {ALL_FLOATS})
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->setAllowedInputTypes(2, {ALL_FLOATS})
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->setAllowedInputTypes(3, {ALL_FLOATS})
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->setAllowedInputTypes(4, {ALL_FLOATS, ALL_INTS})
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->setAllowedInputTypes(5, {ALL_FLOATS, ALL_INTS})
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->setAllowedOutputTypes(0, {ALL_FLOATS})
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->setAllowedOutputTypes(1, {ALL_FLOATS});
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}
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DECLARE_SHAPE_FN(dynamic_rnn) {
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auto xShapeInfo = inputShape->at(0); // input [time x bS x inSize] or [bS x time x inSize], depends on timeMajor parameter
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auto WxShapeInfo = inputShape->at(1); // input-to-hidden weights, [inSize x numUnits]
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auto WhShapeInfo = inputShape->at(2); // hidden-to-hidden weights, [numUnits x numUnits]
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auto bShapeInfo = inputShape->at(3); // biases for, [2*numUnits]
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Nd4jLong* h0ShapeInfo = nullptr; // initial cell output (at time step = 0) [bS x numUnits]
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Nd4jLong* maxTimeStepShapeInfo = nullptr; // vector [bS] containing integer values within [0,time), each element of this vector set max time step per each input in batch, this means there are no calculations for time >= maxTimeStep
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const int timeMajor = block.getIArguments()->size() > 0 ? INT_ARG(0) : 0; // if true then [time, bS, ...], else [bS, time, ...]
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if(block.width() == 5) {
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if (inputShape->at(4)[0] == 2)
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h0ShapeInfo = inputShape->at(4);
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else
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maxTimeStepShapeInfo = inputShape->at(4);
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}
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else if(block.width() == 6) {
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h0ShapeInfo = inputShape->at(4);
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maxTimeStepShapeInfo = inputShape->at(5);
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}
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REQUIRE_TRUE(xShapeInfo[0] == 3, 0, "DYNAMIC_RNN custom operation: input array x must have rank = 3, but got %i instead !", xShapeInfo[0]);
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REQUIRE_TRUE(WxShapeInfo[0] == 2, 0, "DYNAMIC_RNN custom operation: input-to-hidden weights array must have rank = 2, but got %i instead !", WxShapeInfo[0]);
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const int inRank = xShapeInfo[0];
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const int time = timeMajor ? xShapeInfo[1] : xShapeInfo[2];
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const int bS = timeMajor ? xShapeInfo[2] : xShapeInfo[1];
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const int numUnits = WxShapeInfo[2];
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REQUIRE_TRUE(ShapeUtils::shapeAsString(WhShapeInfo) == ShapeUtils::shapeAsString({numUnits, numUnits}), 0, "DYNAMIC_RNN custom operation: wrong shape of hidden-to-hidden weights array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString({numUnits, numUnits}).c_str(), ShapeUtils::shapeAsString(WhShapeInfo).c_str());
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REQUIRE_TRUE(ShapeUtils::shapeAsString(bShapeInfo) == ShapeUtils::shapeAsString({2*numUnits}), 0, "DYNAMIC_RNN custom operation: wrong shape of biases array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString({2*numUnits}).c_str(), ShapeUtils::shapeAsString(bShapeInfo).c_str());
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if(h0ShapeInfo)
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REQUIRE_TRUE(ShapeUtils::shapeAsString(h0ShapeInfo) == ShapeUtils::shapeAsString({bS, numUnits}), 0, "DYNAMIC_RNN custom operation: wrong shape of initial cell output array, expected is %s but got %s instead !", ShapeUtils::shapeAsString({bS, numUnits}).c_str(), ShapeUtils::shapeAsString(h0ShapeInfo).c_str());
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if(maxTimeStepShapeInfo)
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REQUIRE_TRUE(ShapeUtils::shapeAsString(maxTimeStepShapeInfo) == ShapeUtils::shapeAsString({bS}), 0, "DYNAMIC_RNN custom operation: wrong shape of maxTimeStep array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString({bS}).c_str(), ShapeUtils::shapeAsString(maxTimeStepShapeInfo).c_str());
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// evaluate output shapeInfos
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Nd4jLong *hShapeInfo(nullptr), *hPrevShapeInfo(nullptr);
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ALLOCATE(hShapeInfo, block.getWorkspace(), shape::shapeInfoLength(inRank), Nd4jLong);
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ALLOCATE(hPrevShapeInfo, block.getWorkspace(), shape::shapeInfoLength(inRank-1), Nd4jLong);
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hShapeInfo[0] = inRank;
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hPrevShapeInfo[0] = inRank-1;
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hShapeInfo[1] = timeMajor ? time : bS;
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hShapeInfo[2] = timeMajor ? bS : time;
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hPrevShapeInfo[1] = bS;
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hShapeInfo[3] = hPrevShapeInfo[2] = numUnits;
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ShapeUtils::updateStridesAndType(hShapeInfo, WhShapeInfo, shape::order(xShapeInfo));
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ShapeUtils::updateStridesAndType(hPrevShapeInfo, WhShapeInfo, shape::order(xShapeInfo));
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return SHAPELIST(CONSTANT(hShapeInfo), CONSTANT(hPrevShapeInfo));
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}
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}
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}
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