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org.nd4j.linalg.api.ops.impl.indexaccum.custom.ArgMax 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.indexaccum.custom;
import lombok.Data;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
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.reduce.custom.BaseDynamicCustomIndexReduction;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.Collections;
import java.util.List;
import java.util.Map;
@Data
public class ArgMax extends BaseDynamicCustomIndexReduction {
public ArgMax(SameDiff sameDiff, SDVariable[] args, boolean keepDims) {
super(sameDiff, args, keepDims);
}
public ArgMax(SameDiff sameDiff, SDVariable[] args, boolean keepDims, int[] dimensions) {
super(sameDiff, args, keepDims, dimensions);
}
public ArgMax(SameDiff sameDiff, SDVariable[] args, boolean keepDims, boolean isComplex) {
super(sameDiff, args, keepDims, isComplex);
}
public ArgMax(SameDiff sameDiff, SDVariable[] args, boolean keepDims, boolean isComplex, int[] dimensions) {
super(sameDiff, args, keepDims, isComplex, dimensions);
}
public ArgMax(INDArray[] inputs) {
super(inputs, null);
}
public ArgMax(INDArray[] inputs, INDArray[] outputs) {
super(inputs, outputs);
}
public ArgMax(INDArray[] inputs, INDArray[] outputs, boolean keepDims) {
super(inputs, outputs, keepDims);
}
public ArgMax(INDArray[] inputs, INDArray[] outputs, boolean keepDims, int... dimensions) {
super(inputs, outputs, keepDims, dimensions);
}
public ArgMax(INDArray[] inputs, boolean keepDims, int[] dimensions) {
super(inputs, keepDims, dimensions);
}
public ArgMax(boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(keepDims, isComplex, isEmptyReduce, dimensions);
}
public ArgMax(SameDiff sameDiff, SDVariable arg, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(sameDiff, arg, keepDims, isComplex, isEmptyReduce, dimensions);
}
public ArgMax(SameDiff sameDiff, SDVariable[] args, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(sameDiff, args, keepDims, isComplex, isEmptyReduce, dimensions);
}
public ArgMax(String opName, SameDiff sameDiff, SDVariable[] args, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(opName, sameDiff, args, keepDims, isComplex, isEmptyReduce, dimensions);
}
public ArgMax(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 ArgMax(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 ArgMax(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 ArgMax(INDArray[] inputs, INDArray[] outputs, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(inputs, outputs, keepDims, isComplex, isEmptyReduce, dimensions);
}
public ArgMax(String opName, INDArray[] inputs, INDArray[] outputs, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(opName, inputs, outputs, keepDims, isComplex, isEmptyReduce, dimensions);
}
public ArgMax(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 ArgMax(SameDiff sameDiff, SDVariable[] args, boolean inPlace, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(sameDiff, args, inPlace, keepDims, isComplex, isEmptyReduce, dimensions);
}
public ArgMax(String opName, boolean keepDims, boolean isComplex, boolean isEmptyReduce, int[] dimensions) {
super(opName, keepDims, isComplex, isEmptyReduce, dimensions);
}
public ArgMax(INDArray[] input, INDArray[] output, boolean keepDims, boolean isComplex, int[] dimensions) {
super(input, output, keepDims, isComplex, dimensions);
}
public ArgMax() {
}
public ArgMax(SameDiff sd, SDVariable in, boolean keepDims, int[] dimensions) {
this(sd,new SDVariable[]{in},keepDims,dimensions);
}
public ArgMax(INDArray in, boolean keepDims, int[] dimensions) {
this(new INDArray[]{in},keepDims,dimensions);
}
public ArgMax(INDArray arr) {
this(new INDArray[]{arr},false,null);
}
@Override
public String opName() {
return "argmax";
}
@Override
public String tensorflowName() {
return "ArgMax";
}
}
