deeplearning4j/deeplearning4j

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libnd4j/include/ops/declarable/generic/nn/recurrent/lstm.cpp

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/*
 *  ******************************************************************************
 *  *
 *  *
 *  * 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.
 *  *
 *  * See the NOTICE file distributed with this work for additional
 *  * information regarding copyright ownership.
 *  * 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 15.02.2018
//

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

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

namespace sd {
namespace ops {

//////////////////////////////////////////////////////////////////////////
CUSTOM_OP_IMPL(lstm, 8, 2, false, 3, 2) {
  auto x = INPUT_VARIABLE(0);   // input [time x bS x inSize]
  auto h0 = INPUT_VARIABLE(1);  // initial cell output (at time step = 0) [bS x numProj], in case of projection=false ->
                                // numProj == numUnits !!!
  auto c0 = INPUT_VARIABLE(2);  // initial cell state  (at time step = 0) [bS x numUnits],

  auto Wx = INPUT_VARIABLE(3);  // input-to-hidden  weights, [inSize  x 4*numUnits]
  auto Wh = INPUT_VARIABLE(4);  // hidden-to-hidden weights, [numProj x 4*numUnits]
  auto Wc = INPUT_VARIABLE(5);  // diagonal weights for peephole connections [3*numUnits]
  auto Wp = INPUT_VARIABLE(6);  // projection weights [numUnits x numProj]
  auto b = INPUT_VARIABLE(7);   // biases, [4*numUnits]

  auto h = OUTPUT_VARIABLE(0);  // cell outputs [time x bS x numProj], that is per each time step
  auto c = OUTPUT_VARIABLE(1);  // cell states  [time x bS x numUnits] that is per each time step

  const int peephole = INT_ARG(0);  // if 1, provide peephole connections
  const int projection = INT_ARG(1);
   // if 1, then projection is performed, if false then numProj==numUnits is mandatory!!!!

  // FIXME: double
  const double clippingCellValue = T_ARG(0);
   // clipping value for ct, if it is not equal to zero, then cell state is clipped
  const double clippingProjValue =  T_ARG(1);
   // clipping value for projected ht, if it is not equal to zero, then projected cell output is clipped
  const double forgetBias = T_ARG(2);

  const int rank = x->rankOf();
  const int time = x->sizeAt(0);
  const int bS = x->sizeAt(1);
  const int inSize = x->sizeAt(2);
  const int numProj = h0->sizeAt(1);
  const int numUnits = c0->sizeAt(1);

  // input shapes validation
  const std::vector<sd::LongType> correctH0Shape = {bS, numProj};
  const std::vector<sd::LongType> correctC0Shape = {bS, numUnits};
  const std::vector<sd::LongType> correctWxShape = {inSize, 4 * numUnits};
  const std::vector<sd::LongType> correctWhShape = {numProj, 4 * numUnits};
  const std::vector<sd::LongType> correctWcShape = {3 * numUnits};
  const std::vector<sd::LongType> correctWpShape = {numUnits, numProj};
  const std::vector<sd::LongType> correctBShape = {4 * numUnits};

  REQUIRE_TRUE(h0->isSameShape(correctH0Shape), 0,
               "LSTM operation: wrong shape of initial cell output, expected is %s, but got %s instead !",
               ShapeUtils::shapeAsString(correctH0Shape).c_str(), ShapeUtils::shapeAsString(h0).c_str());
  REQUIRE_TRUE(c0->isSameShape(correctC0Shape), 0,
               "LSTM operation: wrong shape of initial cell state,  expected is %s, but got %s instead !",
               ShapeUtils::shapeAsString(correctC0Shape).c_str(), ShapeUtils::shapeAsString(c0).c_str());
  REQUIRE_TRUE(Wx->isSameShape(correctWxShape), 0,
               "LSTM operation: wrong shape of input-to-hidden weights, expected is %s, but got %s instead !",
               ShapeUtils::shapeAsString(correctWxShape).c_str(), ShapeUtils::shapeAsString(Wx).c_str());
  REQUIRE_TRUE(Wh->isSameShape(correctWhShape), 0,
               "LSTM operation: wrong shape of hidden-to-hidden weights, expected is %s, but got %s instead !",
               ShapeUtils::shapeAsString(correctWhShape).c_str(), ShapeUtils::shapeAsString(Wh).c_str());
  REQUIRE_TRUE(
      Wc->isSameShape(correctWcShape), 0,
      "LSTM operation: wrong shape of diagonal weights for peephole connections, expected is %s, but got %s instead !",
      ShapeUtils::shapeAsString(correctWcShape).c_str(), ShapeUtils::shapeAsString(Wc).c_str());
  REQUIRE_TRUE(Wp->isSameShape(correctWpShape), 0,
               "LSTM operation: wrong shape of projection weights, expected is %s, but got %s instead !",
               ShapeUtils::shapeAsString(correctWpShape).c_str(), ShapeUtils::shapeAsString(Wp).c_str());
  REQUIRE_TRUE(b->isSameShape(correctBShape), 0,
               "LSTM operation: wrong shape of biases, expected is %s, but got %s instead !",
               ShapeUtils::shapeAsString(correctBShape).c_str(), ShapeUtils::shapeAsString(b).c_str());
  REQUIRE_TRUE(!(!projection && numUnits != numProj), 0,
               "LSTM operation: projection option is switched of, and in this case output dimensionality for the "
               "projection matrices (numProj) must be equal to number of units in lstmCell !");

  helpers::lstmTimeLoop(block.launchContext(), x, h0, c0, Wx, Wh, Wc, Wp, b, h, c,
                        {(double)peephole, (double)projection, clippingCellValue, clippingProjValue, forgetBias});

  return sd::Status::OK;
}

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

DECLARE_SHAPE_FN(lstm) {
  auto xShapeInfo = inputShape->at(0);   // input [time x bS x inSize]
  auto h0ShapeInfo = inputShape->at(1);  // initial cell output (at time step = 0) [bS x numProj], in case of
                                         // projection=false -> numProj == numUnits !!!
  auto c0ShapeInfo = inputShape->at(2);  // initial cell state  (at time step = 0) [bS x numUnits],

  auto WxShapeInfo = inputShape->at(3);  // input-to-hidden  weights, [inSize  x 4*numUnits]
  auto WhShapeInfo = inputShape->at(4);  // hidden-to-hidden weights, [numProj x 4*numUnits]
  auto WcShapeInfo = inputShape->at(5);  // diagonal weights for peephole connections [3*numUnits]
  auto WpShapeInfo = inputShape->at(6);  // projection weights [numUnits x numProj]
  auto bShapeInfo = inputShape->at(7);   // biases, [4*numUnits]

  const int rank = xShapeInfo[0];
  const int time = xShapeInfo[1];
  const int bS = xShapeInfo[2];
  const int inSize = xShapeInfo[3];
  const int numProj = h0ShapeInfo[2];
  const int numUnits = c0ShapeInfo[2];

  // input shapes validation
  const std::vector<sd::LongType> correctH0Shape = {bS, numProj};
  const std::vector<sd::LongType> correctC0Shape = {bS, numUnits};
  const std::vector<sd::LongType> correctWxShape = {inSize, 4 * numUnits};
  const std::vector<sd::LongType> correctWhShape = {numProj, 4 * numUnits};
  const std::vector<sd::LongType> correctWcShape = {3 * numUnits};
  const std::vector<sd::LongType> correctWpShape = {numUnits, numProj};
  const std::vector<sd::LongType> correctBShape = {4 * numUnits};

  REQUIRE_TRUE(ShapeUtils::areShapesEqual(h0ShapeInfo, correctH0Shape), 0,
               "LSTM operation: wrong shape of initial cell output, expected is %s, but got %s instead !",
               ShapeUtils::shapeAsString(correctH0Shape).c_str(), ShapeUtils::shapeAsString(h0ShapeInfo).c_str());
  REQUIRE_TRUE(ShapeUtils::areShapesEqual(c0ShapeInfo, correctC0Shape), 0,
               "LSTM operation: wrong shape of initial cell state,  expected is %s, but got %s instead !",
               ShapeUtils::shapeAsString(correctC0Shape).c_str(), ShapeUtils::shapeAsString(c0ShapeInfo).c_str());
  REQUIRE_TRUE(ShapeUtils::areShapesEqual(WxShapeInfo, correctWxShape), 0,
               "LSTM operation: wrong shape of input-to-hidden weights, expected is %s, but got %s instead !",
               ShapeUtils::shapeAsString(correctWxShape).c_str(), ShapeUtils::shapeAsString(WxShapeInfo).c_str());
  REQUIRE_TRUE(ShapeUtils::areShapesEqual(WhShapeInfo, correctWhShape), 0,
               "LSTM operation: wrong shape of hidden-to-hidden weights, expected is %s, but got %s instead !",
               ShapeUtils::shapeAsString(correctWhShape).c_str(), ShapeUtils::shapeAsString(WhShapeInfo).c_str());
  REQUIRE_TRUE(
      ShapeUtils::areShapesEqual(WcShapeInfo, correctWcShape), 0,
      "LSTM operation: wrong shape of diagonal weights for peephole connections, expected is %s, but got %s instead !",
      ShapeUtils::shapeAsString(correctWcShape).c_str(), ShapeUtils::shapeAsString(WcShapeInfo).c_str());
  REQUIRE_TRUE(ShapeUtils::areShapesEqual(WpShapeInfo, correctWpShape), 0,
               "LSTM operation: wrong shape of projection weights, expected is %s, but got %s instead !",
               ShapeUtils::shapeAsString(correctWpShape).c_str(), ShapeUtils::shapeAsString(WpShapeInfo).c_str());
  REQUIRE_TRUE(ShapeUtils::areShapesEqual(bShapeInfo, correctBShape), 0,
               "LSTM operation: wrong shape of biases, expected is %s, but got %s instead !",
               ShapeUtils::shapeAsString(correctBShape).c_str(), ShapeUtils::shapeAsString(bShapeInfo).c_str());

  // evaluate output shapeInfos
  sd::LongType *hShapeInfo(nullptr), *cShapeInfo(nullptr);
  ALLOCATE(hShapeInfo, block.getWorkspace(), shape::shapeInfoLength(rank), sd::LongType);  // [time x bS x numProj]
  ALLOCATE(cShapeInfo, block.getWorkspace(), shape::shapeInfoLength(rank), sd::LongType);  // [time x bS x numUnits]

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

  ShapeUtils::updateStridesAndType(hShapeInfo, xShapeInfo, shape::order(h0ShapeInfo));
  ShapeUtils::updateStridesAndType(cShapeInfo, xShapeInfo, shape::order(c0ShapeInfo));

  return SHAPELIST(CONSTANT(hShapeInfo), CONSTANT(cShapeInfo));
}

}  // namespace ops
}  // namespace sd

#endif