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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.custom;

import lombok.extern.slf4j.Slf4j;
import lombok.val;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.base.Preconditions;
import org.nd4j.imports.descriptors.properties.AttributeAdapter;
import org.nd4j.imports.descriptors.properties.PropertyMapping;
import org.nd4j.imports.descriptors.properties.adapters.StringEqualsAdapter;
import org.nd4j.imports.descriptors.properties.adapters.StringNotEqualsAdapter;
import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;

import java.util.*;

@Slf4j
public class MirrorPad extends DynamicCustomOp {
    protected boolean isSymmetric = false;

    public MirrorPad() {
        //
    }

    @Override
    public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
        TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);
        iArguments.add(isSymmetric ? 1L : 0L);
    }

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

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

    @Override
    public Map> attributeAdaptersForFunction() {
        Map> ret = new HashMap<>();
        Map tfMappings = new LinkedHashMap<>();

        // :)
        tfMappings.put("isSymmetric", new StringNotEqualsAdapter("REFLECT"));

        ret.put(tensorflowName(), tfMappings);

        return ret;
    }

    @Override
    public Map> mappingsForFunction() {
        Map> ret = new HashMap<>();
        Map map = new HashMap<>();

        val symmetric = PropertyMapping.builder()
                .tfAttrName("mode")
                .propertyNames(new String[]{"isSymmetric"})
                .build();

        map.put("isSymmetric", symmetric);

        ret.put(tensorflowName(), map);
        return ret;
    }

    @Override
    public List calculateOutputDataTypes(List dataTypes){
        Preconditions.checkState(dataTypes != null && dataTypes.size() == 2, "Expected exactly 2 input datatypes for %s, got %s", getClass(), dataTypes);
        return Collections.singletonList(dataTypes.get(0));
    }
}