cavis/libnd4j/include/ops/declarable/generic/recurrent/gru.cpp

/*******************************************************************************
 * 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
 ******************************************************************************/

//
// created by Yurii Shyrma on 15.02.2018
//

#include <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_gru)

#include <ops/declarable/CustomOperations.h>
#include<ops/declarable/helpers/gru.h>

namespace sd {
namespace ops {


//////////////////////////////////////////////////////////////////////////
CUSTOM_OP_IMPL(gru, 5, 1, false, 0, 0) {
    auto x  = INPUT_VARIABLE(0);                    // input [time x bS x iS]
    auto h0 = INPUT_VARIABLE(1);                    // initial cell output (at time step = 0) [bS x nU]

    auto Wx  = INPUT_VARIABLE(2);                   // input-to-hidden  weights, [iS x 3*nU]
    auto Wh  = INPUT_VARIABLE(3);                   // hidden-to-hidden weights, [nU x 3*nU]
    auto b   = INPUT_VARIABLE(4);                   // biases, [3*nU]

    auto h   =  OUTPUT_VARIABLE(0);                 // cell outputs [time x bS x nU], that is per each time step

    const int rank     = x->rankOf();              // = 3
    const int time     = x->sizeAt(0);
    const int bS       = x->sizeAt(1);
    const int iS   = x->sizeAt(2);
    const int nU = h0->sizeAt(1);

    const std::vector<Nd4jLong> h0CorrectShape = {bS, nU};
    const std::vector<Nd4jLong> wxCorrectShape = {iS, 3*nU};
    const std::vector<Nd4jLong> whCorrectShape = {nU, 3*nU};
    const std::vector<Nd4jLong> bCorrectShape  = {3*nU};

    REQUIRE_TRUE(h0->isSameShape(h0CorrectShape), 0, "GRU operation: wrong shape of previous cell output array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(h0CorrectShape).c_str(), ShapeUtils::shapeAsString(h0).c_str());
    REQUIRE_TRUE(Wx->isSameShape(wxCorrectShape), 0, "GRU operation: wrong shape of input-to-hidden weights array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(wxCorrectShape).c_str(), ShapeUtils::shapeAsString(Wx).c_str());
    REQUIRE_TRUE(Wh->isSameShape(whCorrectShape), 0, "GRU operation: wrong shape of hidden-to-hidden weights array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(whCorrectShape).c_str(), ShapeUtils::shapeAsString(Wh).c_str());
    REQUIRE_TRUE(b->isSameShape(bCorrectShape),   0, "GRU operation: wrong shape of biases array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(bCorrectShape).c_str(), ShapeUtils::shapeAsString(b).c_str());

    helpers::gruTimeLoop(block.launchContext(), x, h0, Wx, Wh, b, h);

    return Status::OK();
}


        DECLARE_TYPES(gru) {
            getOpDescriptor()
                    ->setAllowedInputTypes(sd::DataType::ANY)
                    ->setAllowedOutputTypes({ALL_FLOATS});
        }


DECLARE_SHAPE_FN(gru) {
    const auto xShapeInfo  = inputShape->at(0);                     // input [time x bS x inSize]
    const auto h0ShapeInfo = inputShape->at(1);                     // initial cell output [bS x numUnits], that is at time step t=0
    const auto WxShapeInfo = inputShape->at(2);                     // input-to-hidden weights, [inSize   x 3*numUnits]
    const auto WhShapeInfo = inputShape->at(3);                     // hidden-to-hidden weights, [numUnits x 3*numUnits]
    const auto bShapeInfo  = inputShape->at(4);                     // biases, [3*numUnits]

    const int rank     = shape::rank(xShapeInfo);              // = 3
    const auto time     = xShapeInfo[1];
    const auto bS       = xShapeInfo[2];
    const auto inSize   = xShapeInfo[3];
    const auto numUnits = h0ShapeInfo[2];

    const std::vector<Nd4jLong> h0CorrectShape = {bS, numUnits};
    const std::vector<Nd4jLong> wxCorrectShape = {inSize, 3*numUnits};
    const std::vector<Nd4jLong> whCorrectShape = {numUnits, 3*numUnits};
    const std::vector<Nd4jLong> bCorrectShape  = {3*numUnits};

    REQUIRE_TRUE(ShapeUtils::areShapesEqual(h0ShapeInfo, h0CorrectShape), 0, "GRU operation: wrong shape of previous cell output array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(h0CorrectShape).c_str(), ShapeUtils::shapeAsString(h0ShapeInfo).c_str());
    REQUIRE_TRUE(ShapeUtils::areShapesEqual(WxShapeInfo, wxCorrectShape), 0, "GRU operation: wrong shape of input-to-hidden weights array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(wxCorrectShape).c_str(), ShapeUtils::shapeAsString(WxShapeInfo).c_str());
    REQUIRE_TRUE(ShapeUtils::areShapesEqual(WhShapeInfo, whCorrectShape), 0, "GRU operation: wrong shape of hidden-to-hidden weights array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(whCorrectShape).c_str(), ShapeUtils::shapeAsString(WhShapeInfo).c_str());
    REQUIRE_TRUE(ShapeUtils::areShapesEqual(bShapeInfo, bCorrectShape),   0, "GRU operation: wrong shape of biases array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(bCorrectShape).c_str(), ShapeUtils::shapeAsString(bShapeInfo).c_str());


    // evaluate output shapeInfo
    Nd4jLong *hShapeInfo(nullptr);
    ALLOCATE(hShapeInfo, block.getWorkspace(), shape::shapeInfoLength(rank), Nd4jLong);

    hShapeInfo[0] = rank;
    hShapeInfo[1] = time;
    hShapeInfo[2] = bS;
    hShapeInfo[3] = numUnits;

    ShapeUtils::updateStridesAndType(hShapeInfo, xShapeInfo, shape::order(h0ShapeInfo));

    return SHAPELIST(hShapeInfo);
}


}
}


#endif