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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
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package org.nd4j.linalg.api.ops.impl.transforms.strict;

import java.util.Collections;
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.BaseTransformFloatOp;
import org.nd4j.linalg.api.ops.BaseTransformOp;
import org.nd4j.linalg.api.ops.BaseTransformStrictOp;

import java.util.Arrays;
import java.util.List;

/**
 * SELU activation function
 * 

* https://arxiv.org/pdf/1706.02515.pdf * * @author [email protected] */ public class SELU extends BaseTransformStrictOp { private static final double SELU_ALPHA = 1.6732632423543772848170429916717; private static final double SELU_LAMBDA = 1.0507009873554804934193349852946; public SELU(SameDiff sameDiff, SDVariable i_v, boolean inPlace) { super(sameDiff, i_v, inPlace); } public SELU() { } public SELU(INDArray x, INDArray z) { super(x, z); } public SELU(INDArray x) { super(x); } @Override public int opNum() { return 42; } @Override public String opName() { return "selu"; } @Override public String onnxName() { return "Selu"; } @Override public String tensorflowName() { return "Selu"; } @Override public List doDiff(List i_v) { return Collections.singletonList(f().seluBp(arg(), i_v.get(0))); } }





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