org.nd4j.linalg.api.ops.impl.transforms.custom.Zeta 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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
package org.nd4j.linalg.api.ops.impl.transforms.custom;
import lombok.val;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.base.Preconditions;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
/**
* Element-wise Zeta function.
*
* Note that it is only defined for values x > 1, q > 0
*
* @author Alex Black
*/
public class Zeta extends BaseDynamicTransformOp {
public Zeta(SameDiff sameDiff, SDVariable x, SDVariable q) {
super(sameDiff, new SDVariable[] {x, q} ,false);
}
public Zeta() {}
@Override
public String opName() {
return "zeta";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
return "Zeta";
}
@Override
public List doDiff(List i_v) {
throw new UnsupportedOperationException("Not yet implemented: " + opName());
}
@Override
public List calculateOutputDataTypes(List dataTypes){
Preconditions.checkState(dataTypes != null && dataTypes.size() == 2, "Expected exactly 2 input datatypes for %s, got %s", getClass(), dataTypes);
Preconditions.checkState(dataTypes.get(0).isFPType(), "Input 0 datatype must be a floating point type, got %s", dataTypes.get(0));
Preconditions.checkState(dataTypes.get(1).isFPType(), "Input 1 datatype must be a floating point type, got %s", dataTypes.get(1));
Preconditions.checkState(dataTypes.get(0) == dataTypes.get(1), "Input datatypes must be equal, type, got %s", dataTypes);
return Collections.singletonList(dataTypes.get(0));
}
}