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org.nd4j.linalg.api.ops.impl.reduce.custom.BaseDynamicCustomLongReduction 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.reduce.custom;
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.shape.LongShapeDescriptor;
import java.util.Collections;
import java.util.List;
public abstract class BaseDynamicCustomLongReduction extends BaseDynamicCustomReduction {
public BaseDynamicCustomLongReduction() {
super();
}
public BaseDynamicCustomLongReduction(SameDiff sameDiff, SDVariable[] args, boolean keepDims) {
super(sameDiff, args, keepDims);
}
public BaseDynamicCustomLongReduction(SameDiff sameDiff, SDVariable[] args, boolean keepDims, int[] dimensions) {
super(sameDiff, args, keepDims, dimensions);
}
public BaseDynamicCustomLongReduction(SameDiff sameDiff, SDVariable[] args, boolean keepDims, boolean isComplex) {
super(sameDiff, args, keepDims, isComplex);
}
public BaseDynamicCustomLongReduction(SameDiff sameDiff, SDVariable[] args, boolean keepDims, boolean isComplex, int[] dimensions) {
super(sameDiff, args, keepDims, isComplex, dimensions);
}
public BaseDynamicCustomLongReduction(INDArray[] inputs, INDArray[] outputs) {
super(inputs, outputs);
}
public BaseDynamicCustomLongReduction(INDArray[] inputs, INDArray[] outputs, boolean keepDims) {
super(inputs, outputs, keepDims);
}
public BaseDynamicCustomLongReduction(INDArray[] inputs, INDArray[] outputs, boolean keepDims, int[] dimensions) {
super(inputs, outputs, keepDims, dimensions);
}
public BaseDynamicCustomLongReduction(INDArray[] inputs, boolean keepDims, int[] dimensions) {
super(inputs, keepDims, dimensions);
}
public BaseDynamicCustomLongReduction(boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(keepDims, isComplex, isEmptyReduce, dimensions);
}
public BaseDynamicCustomLongReduction(SameDiff sameDiff, SDVariable arg, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(sameDiff, arg, keepDims, isComplex, isEmptyReduce, dimensions);
}
public BaseDynamicCustomLongReduction(SameDiff sameDiff, SDVariable[] args, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(sameDiff, args, keepDims, isComplex, isEmptyReduce, dimensions);
}
public BaseDynamicCustomLongReduction(String opName, SameDiff sameDiff, SDVariable[] args, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(opName, sameDiff, args, keepDims, isComplex, isEmptyReduce, dimensions);
}
public BaseDynamicCustomLongReduction(String opName, INDArray input, INDArray output, List tArguments, int[] iArguments, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(opName, input, output, tArguments, iArguments, keepDims, isComplex, isEmptyReduce, dimensions);
}
public BaseDynamicCustomLongReduction(String opName, INDArray[] inputs, INDArray[] outputs, List tArguments, int[] iArguments, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(opName, inputs, outputs, tArguments, iArguments, keepDims, isComplex, isEmptyReduce, dimensions);
}
public BaseDynamicCustomLongReduction(String opName, INDArray[] inputs, INDArray[] outputs, List tArguments, List iArguments, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(opName, inputs, outputs, tArguments, iArguments, keepDims, isComplex, isEmptyReduce, dimensions);
}
public BaseDynamicCustomLongReduction(INDArray[] inputs, INDArray[] outputs, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(inputs, outputs, keepDims, isComplex, isEmptyReduce, dimensions);
}
public BaseDynamicCustomLongReduction(String opName, INDArray[] inputs, INDArray[] outputs, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(opName, inputs, outputs, keepDims, isComplex, isEmptyReduce, dimensions);
}
public BaseDynamicCustomLongReduction(String opName, SameDiff sameDiff, SDVariable[] args, boolean inPlace, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(opName, sameDiff, args, inPlace, keepDims, isComplex, isEmptyReduce, dimensions);
}
public BaseDynamicCustomLongReduction(SameDiff sameDiff, SDVariable[] args, boolean inPlace, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(sameDiff, args, inPlace, keepDims, isComplex, isEmptyReduce, dimensions);
}
public BaseDynamicCustomLongReduction(String opName, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(opName, keepDims, isComplex, isEmptyReduce, dimensions);
}
public BaseDynamicCustomLongReduction(INDArray[] input, INDArray[] output, boolean keepDims, boolean isComplex, int[] dimensions) {
super(input, output, keepDims, isComplex, dimensions);
}
@Override
public List calculateOutputShape() {
return calculateOutputShape(null);
}
@Override
public List calculateOutputDataTypes(List dataTypes){
//All reduce long ops: always long output type
//Second input is dynamic axis arg
Preconditions.checkState(dataTypes != null && (dataTypes.size() == 1 || dataTypes.size() == 2),
"Expected 1 or input datatype for %s, got input %s", getClass(), dataTypes);
Preconditions.checkState(dataTypes.size() == 1 || dataTypes.get(1).isIntType(), "When executing reductions" +
"with 2 inputs, second input (axis) must be an integer datatype for %s, got %s", getClass(), dataTypes);
return Collections.singletonList(DataType.LONG);
}
@Override
public int getNumOutputs() {
return 1;
}
}