org.nd4j.linalg.api.ops.impl.shape.MeshGrid 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.shape;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.base.Preconditions;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import java.util.ArrayList;
import java.util.List;
public class MeshGrid extends DynamicCustomOp {
/**
*
* @param sd
* @param cartesian If true: broadcast dimensions for first two dimensions are swapped
* @param inputs
*/
public MeshGrid(SameDiff sd, boolean cartesian, SDVariable... inputs){
super(null, sd, inputs, false);
addIArgument(cartesian ? 1 : 0);
}
public MeshGrid(){ }
@Override
public String opName(){
return "meshgrid";
}
public List doDiff(List gradients){
SDVariable[] args = args();
List out = new ArrayList<>(args.length);
for( int i=0; i calculateOutputDataTypes(List dataTypes){
//Same output types as input types
return dataTypes;
}
}