174 lines
9.3 KiB
C++
174 lines
9.3 KiB
C++
/*******************************************************************************
|
|
* Copyright (c) 2015-2018 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 05.04.2018
|
|
//
|
|
|
|
#include <ops/declarable/CustomOperations.h>
|
|
#include<ops/declarable/helpers/rnn.h>
|
|
|
|
namespace sd {
|
|
namespace ops {
|
|
|
|
|
|
//////////////////////////////////////////////////////////////////////////
|
|
CUSTOM_OP_IMPL(dynamic_rnn, 4, 2, false, 0, 0) {
|
|
|
|
auto x = INPUT_VARIABLE(0); // input [time x bS x inSize] or [bS x time x inSize], depends on timeMajor parameter
|
|
auto Wx = INPUT_VARIABLE(1); // input-to-hidden weights, [inSize x numUnits]
|
|
auto Wh = INPUT_VARIABLE(2); // hidden-to-hidden weights, [numUnits x numUnits]
|
|
auto b = INPUT_VARIABLE(3); // biases for, [2*numUnits]
|
|
|
|
NDArray* h0 = nullptr; // initial cell output (at time step = 0) [bS x numUnits]
|
|
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
|
|
|
|
const int timeMajor = block.getIArguments()->size() > 0 ? INT_ARG(0) : 0; // if true then [time, bS, ...], else [bS, time, ...]
|
|
|
|
if(block.width() == 5) {
|
|
if ((*INPUT_VARIABLE(4)).rankOf() == 2)
|
|
h0 = INPUT_VARIABLE(4);
|
|
else
|
|
maxTimeStep = INPUT_VARIABLE(4);
|
|
}
|
|
else if(block.width() == 6) {
|
|
h0 = INPUT_VARIABLE(4);
|
|
maxTimeStep = INPUT_VARIABLE(5);
|
|
}
|
|
|
|
auto h = OUTPUT_VARIABLE(0); // cell outputs [time x bS x numUnits] or [bS x time x numUnits], depends on timeMajor parameter
|
|
auto hFinal = OUTPUT_VARIABLE(1); // at the end it will store cell final non-zero output [bS x numUnits]
|
|
|
|
REQUIRE_TRUE(x->rankOf() == 3, 0, "DYNAMIC_RNN custom operation: input array x must have rank = 3, but got %i instead !", x->rankOf());
|
|
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());
|
|
|
|
const int inRank = x->rankOf();
|
|
const int time = timeMajor ? x->sizeAt(0) : x->sizeAt(1);
|
|
const int bS = timeMajor ? x->sizeAt(1) : x->sizeAt(0);
|
|
const int numUnits = Wx->sizeAt(1);
|
|
|
|
std::vector<Nd4jLong> expectedWhShape = {numUnits, numUnits};
|
|
std::vector<Nd4jLong> expectedBShape = {2*numUnits};
|
|
REQUIRE_TRUE(Wh->isSameShape(expectedWhShape), 0, "DYNAMIC_RNN custom operation: wrong shape of hidden-to-hidden weights array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedWhShape).c_str(), ShapeUtils::shapeAsString(Wh).c_str());
|
|
REQUIRE_TRUE(b->isSameShape(expectedBShape), 0, "DYNAMIC_RNN custom operation: wrong shape of biases array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedBShape).c_str(), ShapeUtils::shapeAsString(b).c_str());
|
|
if(h0) {
|
|
std::vector<Nd4jLong> expectedh0Shape = {bS, numUnits};
|
|
REQUIRE_TRUE(h0->isSameShape(expectedh0Shape), 0, "DYNAMIC_RNN custom operation: wrong shape of initial cell output array, expected is %s but got %s instead !", ShapeUtils::shapeAsString(expectedh0Shape).c_str(), ShapeUtils::shapeAsString(h0).c_str());
|
|
}
|
|
if(maxTimeStep) {
|
|
std::vector<Nd4jLong> expectedmaxTimeStepShape = {bS};
|
|
REQUIRE_TRUE(maxTimeStep->isSameShape(expectedmaxTimeStepShape), 0, "DYNAMIC_RNN custom operation: wrong shape of maxTimeStep array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedmaxTimeStepShape).c_str(), ShapeUtils::shapeAsString(maxTimeStep).c_str());
|
|
}
|
|
|
|
if(timeMajor == false) {
|
|
x = new NDArray(x->permute({1, 0, 2})); // [bS x time x inSize] -> [time x bS x inSize]
|
|
h = new NDArray(h->permute({1, 0, 2})); // [bS x time x numUnits] -> [time x bS x numUnits]
|
|
}
|
|
|
|
helpers::rnnTimeLoop(block.launchContext(), x, Wx, Wh, b, h0, maxTimeStep, h, hFinal);
|
|
|
|
if(timeMajor == false) {
|
|
delete x;
|
|
delete h;
|
|
}
|
|
|
|
return Status::OK();
|
|
}
|
|
|
|
|
|
DECLARE_TYPES(dynamic_rnn) {
|
|
getOpDescriptor()
|
|
->setAllowedInputTypes(0, sd::DataType::ANY)
|
|
->setAllowedInputTypes(1, {ALL_FLOATS})
|
|
->setAllowedInputTypes(2, {ALL_FLOATS})
|
|
->setAllowedInputTypes(3, {ALL_FLOATS})
|
|
->setAllowedInputTypes(4, {ALL_FLOATS, ALL_INTS})
|
|
->setAllowedInputTypes(5, {ALL_FLOATS, ALL_INTS})
|
|
->setAllowedOutputTypes(0, {ALL_FLOATS})
|
|
->setAllowedOutputTypes(1, {ALL_FLOATS});
|
|
}
|
|
|
|
|
|
DECLARE_SHAPE_FN(dynamic_rnn) {
|
|
|
|
auto xShapeInfo = inputShape->at(0); // input [time x bS x inSize] or [bS x time x inSize], depends on timeMajor parameter
|
|
auto WxShapeInfo = inputShape->at(1); // input-to-hidden weights, [inSize x numUnits]
|
|
auto WhShapeInfo = inputShape->at(2); // hidden-to-hidden weights, [numUnits x numUnits]
|
|
auto bShapeInfo = inputShape->at(3); // biases for, [2*numUnits]
|
|
|
|
Nd4jLong* h0ShapeInfo = nullptr; // initial cell output (at time step = 0) [bS x numUnits]
|
|
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
|
|
|
|
const int timeMajor = block.getIArguments()->size() > 0 ? INT_ARG(0) : 0; // if true then [time, bS, ...], else [bS, time, ...]
|
|
|
|
if(block.width() == 5) {
|
|
if (inputShape->at(4)[0] == 2)
|
|
h0ShapeInfo = inputShape->at(4);
|
|
else
|
|
maxTimeStepShapeInfo = inputShape->at(4);
|
|
}
|
|
else if(block.width() == 6) {
|
|
h0ShapeInfo = inputShape->at(4);
|
|
maxTimeStepShapeInfo = inputShape->at(5);
|
|
}
|
|
|
|
REQUIRE_TRUE(xShapeInfo[0] == 3, 0, "DYNAMIC_RNN custom operation: input array x must have rank = 3, but got %i instead !", xShapeInfo[0]);
|
|
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]);
|
|
|
|
const int inRank = xShapeInfo[0];
|
|
const int time = timeMajor ? xShapeInfo[1] : xShapeInfo[2];
|
|
const int bS = timeMajor ? xShapeInfo[2] : xShapeInfo[1];
|
|
const int numUnits = WxShapeInfo[2];
|
|
|
|
|
|
std::vector<Nd4jLong> expectedWhShape = {numUnits, numUnits};
|
|
std::vector<Nd4jLong> expectedBShape = {2*numUnits};
|
|
REQUIRE_TRUE(ShapeUtils::areShapesEqual(WhShapeInfo, expectedWhShape), 0, "DYNAMIC_RNN custom operation: wrong shape of hidden-to-hidden weights array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedWhShape).c_str(), ShapeUtils::shapeAsString(WhShapeInfo).c_str());
|
|
REQUIRE_TRUE(ShapeUtils::areShapesEqual(bShapeInfo, expectedBShape), 0, "DYNAMIC_RNN custom operation: wrong shape of biases array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedBShape).c_str(), ShapeUtils::shapeAsString(bShapeInfo).c_str());
|
|
if(h0ShapeInfo) {
|
|
std::vector<Nd4jLong> expectedh0Shape = {bS, numUnits};
|
|
REQUIRE_TRUE(ShapeUtils::areShapesEqual(h0ShapeInfo, expectedh0Shape), 0, "DYNAMIC_RNN custom operation: wrong shape of initial cell output array, expected is %s but got %s instead !", ShapeUtils::shapeAsString(expectedh0Shape).c_str(), ShapeUtils::shapeAsString(h0ShapeInfo).c_str());
|
|
}
|
|
if(maxTimeStepShapeInfo) {
|
|
std::vector<Nd4jLong> expectedmaxTimeStepShape = {bS};
|
|
REQUIRE_TRUE(ShapeUtils::areShapesEqual(maxTimeStepShapeInfo, expectedmaxTimeStepShape), 0, "DYNAMIC_RNN custom operation: wrong shape of maxTimeStep array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedmaxTimeStepShape).c_str(), ShapeUtils::shapeAsString(maxTimeStepShapeInfo).c_str());
|
|
}
|
|
|
|
// evaluate output shapeInfos
|
|
Nd4jLong *hShapeInfo(nullptr), *hPrevShapeInfo(nullptr);
|
|
ALLOCATE(hShapeInfo, block.getWorkspace(), shape::shapeInfoLength(inRank), Nd4jLong);
|
|
ALLOCATE(hPrevShapeInfo, block.getWorkspace(), shape::shapeInfoLength(inRank-1), Nd4jLong);
|
|
|
|
hShapeInfo[0] = inRank;
|
|
hPrevShapeInfo[0] = inRank-1;
|
|
hShapeInfo[1] = timeMajor ? time : bS;
|
|
hShapeInfo[2] = timeMajor ? bS : time;
|
|
hPrevShapeInfo[1] = bS;
|
|
hShapeInfo[3] = hPrevShapeInfo[2] = numUnits;
|
|
|
|
ShapeUtils::updateStridesAndType(hShapeInfo, WhShapeInfo, shape::order(xShapeInfo));
|
|
ShapeUtils::updateStridesAndType(hPrevShapeInfo, WhShapeInfo, shape::order(xShapeInfo));
|
|
|
|
return SHAPELIST(CONSTANT(hShapeInfo), CONSTANT(hPrevShapeInfo));
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
}
|
|
}
|