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org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer Maven / Gradle / Ivy
/*
* ******************************************************************************
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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.
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* * SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.layers.recurrent;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.NonNull;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMLayerConfig;
import org.nd4j.linalg.api.ops.impl.layers.recurrent.weights.LSTMLayerWeights;
import org.nd4j.shade.guava.primitives.Booleans;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
@NoArgsConstructor
public class LSTMLayer extends DynamicCustomOp {
@Getter
private LSTMLayerConfig configuration;
@Getter
private LSTMLayerWeights weights;
private SDVariable cLast;
private SDVariable yLast;
private SDVariable maxTSLength;
public LSTMLayer(@NonNull SameDiff sameDiff, SDVariable x, SDVariable cLast, SDVariable yLast, SDVariable maxTSLength, LSTMLayerWeights weights, LSTMLayerConfig configuration) {
super(null, sameDiff, weights.argsWithInputs(x, maxTSLength, cLast, yLast));
this.configuration = configuration;
this.weights = weights;
this.cLast = cLast;
this.yLast = yLast;
this.maxTSLength = maxTSLength;
addIArgument(iArgs());
addTArgument(tArgs());
addBArgument(bArgs(weights, maxTSLength, yLast, cLast));
Preconditions.checkState(this.configuration.isRetLastH() || this.configuration.isRetLastC() || this.configuration.isRetFullSequence(),
"You have to specify at least one output you want to return. Use isRetLastC, isRetLast and isRetFullSequence methods in LSTMLayerConfig builder to specify them");
}
public LSTMLayer(INDArray x, INDArray cLast, INDArray yLast, INDArray maxTSLength, LSTMLayerWeights lstmWeights, LSTMLayerConfig LSTMLayerConfig) {
super(null, null, lstmWeights.argsWithInputs(maxTSLength, x, cLast, yLast));
this.configuration = LSTMLayerConfig;
this.weights = lstmWeights;
addIArgument(iArgs());
addTArgument(tArgs());
addBArgument(bArgs(weights, maxTSLength, yLast, cLast));
Preconditions.checkState(this.configuration.isRetLastH() || this.configuration.isRetLastC() || this.configuration.isRetFullSequence(),
"You have to specify at least one output you want to return. Use isRetLastC, isRetLast and isRetFullSequence methods in LSTMLayerConfig builder to specify them");
}
@Override
public List calculateOutputDataTypes(List inputDataTypes) {
Preconditions.checkState(inputDataTypes != null && 3 <= inputDataTypes.size() && inputDataTypes.size() <= 8, "Expected amount of inputs to LSTMLayer between 3 inputs minimum (input, Wx, Wr only) or 8 maximum, got %s", inputDataTypes);
//7 outputs, all of same type as input. Note that input 0 is max sequence length (int64), input 1 is actual input
DataType dt = inputDataTypes.get(1);
ArrayList list = new ArrayList<>();
if (configuration.isRetFullSequence()) {
list.add(dt);
}
if (configuration.isRetLastC()) {
list.add(dt);
}
if (configuration.isRetLastH()){
list.add(dt);
}
Preconditions.checkState(dt.isFPType(), "Input type 1 must be a floating point type, got %s", dt);
return list;
}
@Override
public List doDiff(List grads) {
int i=0;
SDVariable grad0 = this.configuration.isRetFullSequence() ? grads.get(i++): null;
SDVariable grad1 = this.configuration.isRetLastH() ? grads.get(i++): null;
SDVariable grad2 = this.configuration.isRetLastC() ? grads.get(i++): null;
return Arrays.asList(new LSTMLayerBp(sameDiff, arg(0), this.cLast, this.yLast, this.maxTSLength,
this.weights, this.configuration, grad0, grad1,grad2).outputVariables());
}
@Override
public String opName() {
return "lstmLayer";
}
@Override
public Map propertiesForFunction() {
return configuration.toProperties(true, true);
}
public long[] iArgs() {
return new long[]{
configuration.getLstmdataformat().ordinal(),// INT_ARG(0)
configuration.getDirectionMode().ordinal(), // INT_ARG(1)
configuration.getGateAct().ordinal(), // INT_ARG(2)
configuration.getOutAct().ordinal(), // INT_ARG(3)
configuration.getCellAct().ordinal() // INT_ARG(4)
};
}
public double[] tArgs() {
return new double[]{this.configuration.getCellClip()}; // T_ARG(0)
}
protected boolean[] bArgs(LSTMLayerWeights weights, T maxTSLength, T yLast, T cLast) {
return new boolean[]{
weights.hasBias(), // hasBiases: B_ARG(0)
maxTSLength != null, // hasSeqLen: B_ARG(1)
yLast != null, // hasInitH: B_ARG(2)
cLast != null, // hasInitC: B_ARG(3)
weights.hasPH(), // hasPH: B_ARG(4)
configuration.isRetFullSequence(), //retFullSequence: B_ARG(5)
configuration.isRetLastH(), // retLastH: B_ARG(6)
configuration.isRetLastC() // retLastC: B_ARG(7)
};
}
@Override
public boolean isConfigProperties() {
return true;
}
@Override
public String configFieldName() {
return "configuration";
}
@Override
public int getNumOutputs(){
return Booleans.countTrue(
configuration.isRetFullSequence(), //retFullSequence: B_ARG(5)
configuration.isRetLastH(), // retLastH: B_ARG(6)
configuration.isRetLastC() // retLastC: B_ARG(7)
);
}
}
