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org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im 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.convolution;
import lombok.Builder;
import lombok.Getter;
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.convolution.config.Conv2DConfig;
import org.nd4j.common.util.ArrayUtil;
import org.nd4j.linalg.api.ops.impl.layers.convolution.config.PaddingMode;
import java.util.Collections;
import java.util.List;
import java.util.Map;
@Getter
public class Col2Im extends DynamicCustomOp {
protected Conv2DConfig conv2DConfig;
@Builder(builderMethodName = "builder")
public Col2Im(SameDiff sameDiff, SDVariable[] inputFunctions, INDArray[] inputArrays, INDArray[] outputs, Conv2DConfig conv2DConfig) {
super(null,inputArrays,outputs);
if(sameDiff != null) {
this.sameDiff = sameDiff;
}
this.conv2DConfig = conv2DConfig;
addArgs();
}
public Col2Im(@NonNull SameDiff sd, @NonNull SDVariable input, @NonNull Conv2DConfig config){
super(null, sd, new SDVariable[]{input});
this.conv2DConfig = config;
addArgs();
}
public Col2Im() {}
public Col2Im(@NonNull INDArray in, @NonNull Conv2DConfig conv2DConfig) {
super("col2Im",in,null,null,null);
this.conv2DConfig = conv2DConfig;
}
protected void addArgs() {
addIArgument(conv2DConfig.getSH());
addIArgument(conv2DConfig.getSW());
addIArgument(conv2DConfig.getPH());
addIArgument(conv2DConfig.getPW());
addIArgument(conv2DConfig.getKH());
addIArgument(conv2DConfig.getKW());
addIArgument(conv2DConfig.getDH());
addIArgument(conv2DConfig.getDW());
addIArgument(conv2DConfig.getPaddingMode().index);
}
@Override
public Map propertiesForFunction() {
return conv2DConfig.toProperties();
}
@Override
public void setPropertiesForFunction(Map properties) {
if(conv2DConfig == null) {
Conv2DConfig.Conv2DConfigBuilder builder = Conv2DConfig.builder();
Long dH = getLongValueFromProperty("dH",properties);
if(dH != null)
builder.dH(dH);
Long sW = getLongValueFromProperty("sW",properties);
if(sW != null)
builder.sW(sW);
Long pW = getLongValueFromProperty("pW",properties);
if(pW != null)
builder.pW(pW);
Long dW = getLongValueFromProperty("dW",properties);
if(dW != null)
builder.dW(dW);
Long sH = getLongValueFromProperty("sH",properties);
if(sH != null)
builder.sH(sH);
Long pH = getLongValueFromProperty("pH",properties);
if(pH != null)
builder.pH(pH);
Long kW = getLongValueFromProperty("kW",properties);
if(kW != null)
builder.kW(kW);
Long kH = getLongValueFromProperty("kH",properties);
if(kH != null)
builder.kH(kH);
Long paddingMode = getLongValueFromProperty("paddingMode",properties);
if(paddingMode != null)
builder.paddingMode(PaddingMode.fromNumber(paddingMode.intValue()));
this.conv2DConfig = builder.build();
}
}
@Override
public void configureFromArguments() {
if(conv2DConfig == null && iArguments.size() >= 10) {
conv2DConfig = Conv2DConfig.builder()
.kH(iArguments.get(0))
.kW(iArguments.get(1))
.sH(iArguments.get(2))
.sW(iArguments.get(3))
.pH(iArguments.get(4))
.pW(iArguments.get(5))
.dH(iArguments.get(6))
.dW(iArguments.get(7))
.paddingMode(PaddingMode.fromNumber(iArguments.get(8).intValue()))
.build();
}
}
@Override
public String opName() {
return "col2im";
}
@Override
public List doDiff(List f1) {
throw new UnsupportedOperationException("Unable to run derivative op on col2im");
}
@Override
public List calculateOutputDataTypes(List inputDataTypes){
Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == 1, "Expected 1 input data type for %s, got %s", getClass(), inputDataTypes);
return Collections.singletonList(inputDataTypes.get(0));
}
}