org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal 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.random.compat;
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.DynamicCustomOp;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.linalg.util.ArrayUtil;
/**
* This op is a wrapper for RandomNormal Op
* @author [email protected]
*/
public class RandomStandardNormal extends DynamicCustomOp {
public RandomStandardNormal() {
// values are just hardcoded for this op
addTArgument(0.0, 1.0);
}
public RandomStandardNormal(SameDiff sameDiff, SDVariable[] args) {
super(null, sameDiff, args);
// values are just hardcoded for this op
addTArgument(0.0, 1.0);
}
public RandomStandardNormal(INDArray shape) {
super(null, new INDArray[]{shape},new INDArray[0]);
// values are just hardcoded for this op
addTArgument(0.0, 1.0);
}
public RandomStandardNormal(INDArray shape, INDArray output) {
super(null, new INDArray[]{shape},new INDArray[]{output});
// values are just hardcoded for this op
addTArgument(0.0, 1.0);
}
public RandomStandardNormal(long shape[]) {
this(Nd4j.create(ArrayUtil.toDouble(shape)), Nd4j.create(shape));
}
@Override
public String opName() {
return "random_normal";
}
@Override
public String tensorflowName() {
return "RandomStandardNormal";
}
@Override
public Object[] getExtraArgs() {
// FIXME: why the hell we need this?
return new Object[] {new Double(0.0), new Double(1.0)};
}
}