org.nd4j.linalg.api.ops.impl.scalar.LogX 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.scalar;
import org.nd4j.autodiff.functions.DifferentialFunction;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseScalarOp;
import org.nd4j.linalg.api.ops.BaseTransformOp;
import java.util.Collections;
import java.util.List;
/**
* Log on arbitrary base op
*
* @author [email protected]
*/
public class LogX extends BaseScalarOp {
private double base;
public LogX(SameDiff sameDiff, SDVariable i_v, double base) {
super(sameDiff, i_v, base);
this.base = base;
this.extraArgs = new Object[] {base};
}
public LogX() {}
public LogX(INDArray x, INDArray z, double base) {
super(x, null, z, base);
this.base = base;
this.extraArgs = new Object[] {base};
}
public LogX(INDArray x, double base) {
super(x, base);
this.base = base;
this.extraArgs = new Object[] {base};
}
@Override
public int opNum() {
return 38;
}
@Override
public String opName() {
return "log_x";
}
@Override
public List doDiff(List f1) {
//dlog_b(x)/dx = 1/(x*log_e(b))
double logb = Math.log(base);
return Collections.singletonList(f1.get(0).div(arg().mul(logb)));
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
return "LogX";
}
}