org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs.LSTMLayerOutputs Maven / Gradle / Ivy
/*
* ******************************************************************************
* *
* *
* * 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
* *****************************************************************************
*/
package org.nd4j.linalg.api.ops.impl.layers.recurrent.outputs;
import lombok.Getter;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.common.base.Preconditions;
import org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMLayer;
import org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMDataFormat;
import org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMDirectionMode;
import org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMLayerConfig;
/**
* The outputs of a LSTM layer ({@link LSTMLayer}.
*/
@Getter
public class LSTMLayerOutputs {
/**
* The LSTM layer data format ({@link LSTMDataFormat}.
*/
private LSTMDataFormat dataFormat;
/**
* output h:
* [sL, bS, nOut] when directionMode <= 2 && dataFormat == 0
* [bS, sL, nOut] when directionMode <= 2 && dataFormat == 1
* [bS, nOut, sL] when directionMode <= 2 && dataFormat == 2
* [sL, bS, 2*nOut] when directionMode == 3 && dataFormat == 0
* [bS, sL, 2*nOut] when directionMode == 3 && dataFormat == 1
* [bS, 2*nOut, sL] when directionMode == 3 && dataFormat == 2
* [sL, 2, bS, nOut] when directionMode == 4 && dataFormat == 3
* numbers mean index in corresponding enums {@link LSTMDataFormat} and {@link LSTMDirectionMode}
*/
private SDVariable timeSeriesOutput;
/**
* cell state at last step cL:
* [bS, nOut] when directionMode FWD or BWD
* 2, bS, nOut] when directionMode BIDIR_SUM, BIDIR_CONCAT or BIDIR_EXTRA_DIM
*/
private SDVariable lastCellStateOutput;
/**
* output at last step hL:
* [bS, nOut] when directionMode FWD or BWD
* 2, bS, nOut] when directionMode BIDIR_SUM, BIDIR_CONCAT or BIDIR_EXTRA_DIM
*/
private SDVariable lastTimeStepOutput;
public LSTMLayerOutputs(SDVariable[] outputs, LSTMLayerConfig lstmLayerConfig) {
Preconditions.checkArgument(outputs.length > 0 && outputs.length <= 3,
"Must have from 1 to 3 LSTM layer outputs, got %s", outputs.length);
int i = 0;
timeSeriesOutput = lstmLayerConfig.isRetFullSequence() ? outputs[i++] : null;
lastTimeStepOutput = lstmLayerConfig.isRetLastH() ? outputs[i++] : null;
lastCellStateOutput = lstmLayerConfig.isRetLastC() ? outputs[i++] : null;
this.dataFormat = lstmLayerConfig.getLstmdataformat();
}
/**
* Get h, the output of the cell for all time steps.
*
* Shape depends on data format defined in {@link LSTMLayerConfig }:
* for unidirectional:
* TNS: shape [timeLength, numExamples, inOutSize] - sometimes referred to as "time major"
* NST: shape [numExamples, inOutSize, timeLength]
* NTS: shape [numExamples, timeLength, inOutSize]
* for bidirectional:
* T2NS: 3 = [timeLength, 2, numExamples, inOutSize] (for ONNX)
*/
public SDVariable getOutput() {
Preconditions.checkArgument(timeSeriesOutput != null, "retFullSequence was setted as false in LSTMLayerConfig");
return timeSeriesOutput;
}
public SDVariable getLastState() {
Preconditions.checkArgument(lastCellStateOutput != null, "retLastC was setted as false in LSTMLayerConfig");
return lastCellStateOutput;
}
public SDVariable getLastOutput() {
Preconditions.checkArgument(lastTimeStepOutput != null, "retLastH was setted as false in LSTMLayerConfig");
return lastTimeStepOutput;
}
}