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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.accum;

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.BaseAccumulation;

import java.util.Collections;
import java.util.List;

/**
 * Calculate the absolute minimum over a vector
 *
 * @author [email protected]
 */
public class AMin extends BaseAccumulation {
    public AMin(SameDiff sameDiff, SDVariable i_v, int[] dimensions) {
        super(sameDiff, i_v, dimensions);
    }

    public AMin(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions) {
        super(sameDiff, i_v, i_v2, dimensions);
    }

    public AMin() {}

    public AMin(INDArray x, INDArray y, INDArray z, long n) {
        super(x, y, z, n);
    }

    public AMin(INDArray x, INDArray y, long n) {
        super(x, y, n);
    }

    public AMin(INDArray x) {
        super(x);
    }

    public AMin(INDArray x, INDArray y) {
        super(x, y);
    }


    @Override
    public int opNum() {
        return 14;
    }

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


    @Override
    public Number getFinalResult() {
        return null;
    }

    @Override
    public double zeroDouble() {
        return Double.MAX_VALUE;
    }

    @Override
    public float zeroFloat() {
        return Float.MAX_VALUE;
    }

    @Override
    public float zeroHalf() {
        return 65503.0f;
    }


    @Override
    public List doDiff(List f1) {
        SDVariable sgn = sameDiff.sign(arg());
        SDVariable minBp = f().minBp(sameDiff.abs(arg()), f1.get(0), false, dimensions);
        return Collections.singletonList(sgn.mul(minBp));
    }


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

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

    @Override
    public Type opType() {
        return Type.REDUCE;
    }

    @Override
    public Type getOpType() {
        return opType();
    }
}