org.nd4j.linalg.api.ops.impl.reduce.HashCode Maven / Gradle / Ivy
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* 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.
*
* 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.reduce;
import lombok.NonNull;
import org.nd4j.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.shape.LongShapeDescriptor;
import java.util.Collections;
import java.util.List;
/**
* This is hashCode op wrapper. Basically - simple parallel hash implementation.
*
* @author [email protected]
*/
public class HashCode extends DynamicCustomOp {
public HashCode() {
//
}
public HashCode(@NonNull INDArray array) {
this.inputArguments.add(array);
}
public HashCode(@NonNull INDArray array, @NonNull INDArray result) {
this(array);
Preconditions.checkArgument(result.dataType() == DataType.LONG && result.isScalar(), "HashCode op expects LONG scalar as output");
this.outputArguments.add(result);
}
@Override
public String opName() {
return "hashcode";
}
}