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/*******************************************************************************
* 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.accum;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseAccumulation;
import java.util.Arrays;
import java.util.List;
/**
* Dot product
* @author Adam Gibson
*/
public class Dot extends BaseAccumulation {
public Dot(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int... dimensions) {
super(sameDiff, i_v, i_v2, dimensions);
}
public Dot() {}
public Dot(INDArray x, INDArray y, INDArray z, long n) {
super(x, y, z, n);
}
public Dot(INDArray x, INDArray y, long n) {
super(x, y, n);
}
public Dot(INDArray x) {
super(x);
}
public Dot(INDArray x, INDArray y) {
super(x, y);
}
public Dot(INDArray x, INDArray y, INDArray z, boolean newFormat, boolean keepDims, int... dimensions){
super(x, y, z, newFormat, keepDims, dimensions);
}
@Override
public int opNum() {
return 3;
}
@Override
public String opName() {
return "dot";
}
@Override
public String onnxName() {
return "matmul";
}
@Override
public String tensorflowName() {
return "matmul";
}
@Override
public Type getOpType() {
return Type.REDUCE3;
}
@Override
public List doDiff(List f1) {
//TODO KEEP DIMS
return Arrays.asList(f().dotBp(arg(0), arg(1), f1.get(0), false, dimensions));
}
}