org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D Maven / Gradle / Ivy
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package org.nd4j.linalg.api.ops.impl.layers.convolution;
import lombok.Builder;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.NonNull;
import lombok.extern.slf4j.Slf4j;
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.convolution.config.Conv1DConfig;
import org.nd4j.linalg.api.ops.impl.layers.convolution.config.PaddingMode;
import org.nd4j.common.util.ArrayUtil;
import java.lang.reflect.Field;
import java.util.*;
@Slf4j
@Getter
@NoArgsConstructor
public class Conv1D extends DynamicCustomOp {
protected Conv1DConfig config;
private static final String INVALID_CONFIGURATION = "Invalid Conv1D configuration : s = %s p = %s ";
public Conv1D(@NonNull SameDiff sameDiff, @NonNull SDVariable input, @NonNull SDVariable weights, SDVariable bias, @NonNull Conv1DConfig conv1DConfig) {
this(sameDiff, wrapFilterNull(input, weights, bias), conv1DConfig);
}
@Builder(builderMethodName = "sameDiffBuilder")
public Conv1D(SameDiff sameDiff,
SDVariable[] inputFunctions,
Conv1DConfig config) {
super(sameDiff, inputFunctions);
initConfig(config);
}
public Conv1D(INDArray[] inputs, INDArray[] outputs, Conv1DConfig config){
super(inputs, outputs);
initConfig(config);
}
public Conv1D(@NonNull INDArray input, @NonNull INDArray weights, INDArray bias, INDArray output, @NonNull Conv1DConfig config){
this(wrapFilterNull(input, weights, bias), wrapOrNull(output), config);
}
public Conv1D(INDArray input, INDArray weights, INDArray bias, Conv1DConfig config) {
this(input, weights, bias, null, config);
}
private void initConfig(Conv1DConfig config){
this.config = config;
Preconditions.checkState(config.getS() >= 1 && config.getP() >= 0, INVALID_CONFIGURATION, config.getS(), config.getP());
addArgs();
}
protected void addArgs() {
if (config == null)
config = Conv1DConfig.builder().build();
addIArgument(config.getK(),
config.getS(),
config.getP(),
config.getD(),
config.getPaddingMode().ordinal(),
ArrayUtil.fromBoolean(config.isNWC()));
}
@Override
public long[] iArgs() {
if (iArguments.size() == 0)
addArgs();
return super.iArgs();
}
@Override
public Object getValue(Field property) {
if (config == null && !iArguments.isEmpty()) {
config = Conv1DConfig.builder()
.k(iArguments.get(0))
.s(iArguments.get(1))
.p(iArguments.get(2))
.d(iArguments.get(3))
.paddingMode(PaddingMode.values()[iArguments.get(4).intValue()])
.dataFormat(iArguments.get(5) == 1 ? Conv1DConfig.NCW : Conv1DConfig.NWC)
.build();
}
return config.getValue(property);
}
@Override
public Map propertiesForFunction() {
return config.toProperties();
}
@Override
public boolean isConfigProperties() {
return true;
}
@Override
public String configFieldName() {
return "config";
}
@Override
public String opName() {
return "conv1d";
}
@Override
public List calculateOutputDataTypes(List inputDataTypes){
int n = args().length;
Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == n, "Expected %s input data types for %s, got %s", n, getClass(), inputDataTypes);
return Collections.singletonList(inputDataTypes.get(0));
}
@Override
public List doDiff(List grads){
List args = new ArrayList<>();
Collections.addAll(args, args());
args.add(grads.get(0));
Conv1DDerivative gradFn = new Conv1DDerivative(sameDiff, args.toArray(new SDVariable[0]), config);
return Arrays.asList(gradFn.outputVariables());
}
}