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/*
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 *  * 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.
 *  *
 *  *  See the NOTICE file distributed with this work for additional
 *  *  information regarding copyright ownership.
 *  * 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.random.impl;

import lombok.NonNull;
import onnx.Onnx;
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.OpContext;
import org.nd4j.linalg.api.ops.random.BaseRandomOp;
import org.nd4j.linalg.api.shape.LongShapeDescriptor;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;

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

public class DropOutInverted extends BaseRandomOp {

    private double p;

    public DropOutInverted() {
    }

    public DropOutInverted(SameDiff sameDiff, SDVariable input, double p) {
        super(sameDiff, input);
        this.p = p;
        this.extraArgs = new Object[]{p};
    }

    public DropOutInverted(@NonNull INDArray x, double p) {
        this(x, x, p);
    }

    public DropOutInverted(@NonNull INDArray x, @NonNull INDArray z, double p) {
        super(x,null,z);
        this.p = p;
        this.extraArgs = new Object[] {p};
    }

    @Override
    public int opNum() {
        return 2;
    }

    @Override
    public String opName() {
        return "dropout_inverted";
    }

    @Override
    public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
        super.initFromTensorFlow(nodeDef, initWith, attributesForNode, graph);
    }

    @Override
    public void initFromOnnx(Onnx.NodeProto node, SameDiff initWith, Map attributesForNode, Onnx.GraphProto graph) {
        super.initFromOnnx(node, initWith, attributesForNode, graph);
    }

    @Override
    public String onnxName() {
        return "Dropout";
    }

    @Override
    public List doDiff(List f1) {
        throw new UnsupportedOperationException("DropOutInverted does not have a derivative.");
    }

    @Override
    public List calculateOutputShape(OpContext oc) {
        return calculateOutputShape();
    }

    @Override
    public List calculateOutputShape() {
        LongShapeDescriptor longShapeDescriptor = LongShapeDescriptor.fromShape(shape,dataType);
        return Arrays.asList(longShapeDescriptor);
    }

}