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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.shape;

import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.base.Preconditions;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.api.shape.LongShapeDescriptor;

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

/**
 * Broadcast function
 *
 * @author Adam Gibson
 */
public class Broadcast extends DynamicCustomOp {
    private long[] shape;
    public Broadcast(SameDiff sameDiff,SDVariable iX, long[] shape) {
        super(null,sameDiff,new SDVariable[]{iX});
        this.shape = shape;
    }


    public Broadcast() {}


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

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



    @Override
    public List doDiff(List i_v) {
        throw new UnsupportedOperationException();
    }

    @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 List calculateOutputDataTypes(List dataTypes){
        return Collections.singletonList(dataTypes.get(0));
    }
}