/*
 *  ******************************************************************************
 *  *
 *  *
 *  * 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.impl.shape;

import onnx.Onnx;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.api.ops.Op;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;

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

/**
 * Returns the shape of the input array.
 *
 * @author Adam Gibson
 */
public class SetShape extends DynamicCustomOp {


    public SetShape() {}

    public SetShape(SameDiff sameDiff, SDVariable input,SDVariable shape) {
        this(sameDiff, input, shape,false);
    }

    public SetShape(SameDiff sameDiff, SDVariable input, SDVariable shape,boolean inPlace) {
        super(null, sameDiff, new SDVariable[] {input,shape}, inPlace);
    }

    public SetShape(INDArray in, INDArray shape,INDArray out){
        super(null, new INDArray[]{in,shape},new INDArray[]{out});
    }

    public SetShape(INDArray in,INDArray shape) {
        this(in,shape, null);
    }

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


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

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

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

    @Override
    public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
        throw new NoOpNameFoundException("No onnx name found for set_shape");
    }

    @Override
    public void initFromOnnx(Onnx.NodeProto node, SameDiff initWith, Map<String, Onnx.AttributeProto> attributesForNode, Onnx.GraphProto graph) {
        throw new NoOpNameFoundException("No onnx name found for shape " + opName());
    }

    @Override
    public List<SDVariable> doDiff(List<SDVariable> i_v) {
        return Collections.singletonList(sameDiff.zerosLike(arg()));
    }

    @Override
    public List<DataType> calculateOutputDataTypes(List<DataType> dataTypes) {
        return Collections.singletonList(dataTypes.get(0));
    }

    @Override
    public int getNumOutputs() {
        return 1;
    }
}
