org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling3D Maven / Gradle / Ivy
The newest version!
/*
* ******************************************************************************
* *
* *
* * 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.Getter;
import lombok.NoArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import onnx.Onnx;
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.impl.layers.convolution.config.Pooling3DConfig;
import org.nd4j.linalg.util.LinAlgExceptions;
import java.util.Collections;
import java.util.List;
import java.util.Map;
@Slf4j
@Getter
@NoArgsConstructor
public class MaxPooling3D extends Pooling3D {
public MaxPooling3D(SameDiff sameDiff, SDVariable input, Pooling3DConfig config) {
super(sameDiff, new SDVariable[]{input}, null, null, false, config, Pooling3DType.MAX);
}
public MaxPooling3D(INDArray arrayInput, INDArray arrayOutput, Pooling3DConfig config) {
addInputArgument(arrayInput);
if (arrayOutput != null)
addOutputArgument(arrayOutput);
this.config = config;
addArgs();
}
public MaxPooling3D(INDArray input, Pooling3DConfig pooling3DConfig) {
super(null, null, new INDArray[]{input},null, false, pooling3DConfig, Pooling3DType.MAX);
}
@Override
public boolean isConfigProperties() {
return true;
}
@Override
public String configFieldName() {
return "config";
}
@Override
protected Pooling3DType getDefaultType() {
return Pooling3DType.MAX;
}
@Override
public Map propertiesForFunction() {
if(config == null && numIArguments() > 0) {
LinAlgExceptions.assertAllConfigured(this,15);
createConfigFromArgs(Pooling3DType.MAX);
}
return Collections.emptyMap();
}
@Override
public void configureFromArguments() {
createConfigFromArgs(Pooling3DType.MAX);
}
@Override
public String getPoolingPrefix() {
return "max";
}
@Override
public String opName() {
return "maxpool3dnew";
}
@Override
public void initFromOnnx(Onnx.NodeProto node, SameDiff initWith, Map attributesForNode, Onnx.GraphProto graph) {
throw new UnsupportedOperationException("Not yet implemented");
}
@Override
public String tensorflowName() {
return "MaxPool3D";
}
@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));
}
}