org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.FloorModOp Maven / Gradle / Ivy
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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.
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* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
package org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic;
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.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp;
import org.nd4j.linalg.api.shape.Shape;
import java.util.Collections;
import java.util.List;
/**
* Floor mod
*
* @author [email protected]
*/
public class FloorModOp extends BaseDynamicTransformOp {
public FloorModOp() {}
public FloorModOp(SameDiff sameDiff, SDVariable x, SDVariable y) {
super(sameDiff, new SDVariable[]{x, y}, false);
}
public FloorModOp(INDArray[] inputs, INDArray[] outputs) {
super(inputs, outputs);
}
@Override
public String opName() {
return "floormod";
}
@Override
public String onnxName() {
return "FloorMod";
}
@Override
public String tensorflowName() {
return "FloorMod";
}
@Override
public List doDiff(List f1) {
return f().floorModBp(larg(), rarg(), f1.get(0));
}
@Override
public List calculateOutputDataTypes(List dataTypes){
Preconditions.checkState(dataTypes != null && dataTypes.size() == 2, "Expected exactly 2 input datatypes for %s, got input %s", getClass(), dataTypes);
DataType z = Shape.pickPairwiseDataType(dataTypes.get(0), dataTypes.get(1));
return Collections.singletonList(z);
}
}