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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.arithmetic;

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.BaseTransformOp;
import org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp;

import java.util.ArrayList;
import java.util.List;

/**
 * Truncated division operation
 *
 * @author Adam Gibson
 */
public class TruncateDivOp extends BaseDynamicTransformOp {
    public static final String OP_NAME = "truncatediv";

    public TruncateDivOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2) {
        super(sameDiff, new SDVariable[] {i_v1, i_v2 }, false);
    }

    public TruncateDivOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace) {
        super(sameDiff, new SDVariable[] {i_v1, i_v2}, inPlace);
    }

    public TruncateDivOp() {}

    public TruncateDivOp(INDArray x, INDArray y, INDArray z, long n) {
        super(new INDArray[]{x, y}, new INDArray[]{z});
    }

    public TruncateDivOp(INDArray x, INDArray y, INDArray z) {
        super(new INDArray[]{x, y}, new INDArray[]{z});
    }

    @Override
    public String opName() {
        return OP_NAME;
    }

    @Override
    public String onnxName() {
        throw new NoOpNameFoundException("No onnx op opName found for " +  opName());
    }

    @Override
    public String tensorflowName() {
        return "TruncateDiv";
    }

    @Override
    public List doDiff(List i_v) {
        SDVariable gradWrtX = f().div(i_v.get(0),rarg());
        SDVariable gradWrtY = f().mul(f().neg(gradWrtX),f().div(larg(),rarg()));
        List ret = new ArrayList<>(2);
        ret.add(gradWrtX);
        ret.add(gradWrtY);
        return ret;
    }


}