org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByAvgNorm 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.transforms.clip;
import lombok.NoArgsConstructor;
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 java.util.Collections;
import java.util.List;
@NoArgsConstructor
public class ClipByAvgNorm extends DynamicCustomOp {
private double clipValue;
public ClipByAvgNorm(SameDiff sameDiff, SDVariable x, double clipValue, int... dimensions) {
super("clipbyavgnorm", sameDiff, new SDVariable[]{x});
this.clipValue = clipValue;
this.dimensions = dimensions;
addIArgument(dimensions);
addTArgument(clipValue);
}
public ClipByAvgNorm(INDArray in, double clipValue, int... dimensions){
this(in, null, clipValue, dimensions);
}
public ClipByAvgNorm(INDArray in, INDArray out, double clipValue, int... dimensions){
super("clipbyavgnorm", new INDArray[]{in}, wrapOrNull(out), Collections.singletonList(clipValue), dimensions);
}
@Override
public String opName() {
return "clipbyavgnorm";
}
@Override
public List doDiff(List grad) {
throw new UnsupportedOperationException("Not yet implemented"); }
@Override
public List calculateOutputDataTypes(List inputDataTypes){
Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == 1, "Expected exactly 1 input datatype for %s, got %s", getClass(), inputDataTypes);
return inputDataTypes;
}
}