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/*
 *  ******************************************************************************
 *  *
 *  *
 *  * 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.
 *  *
 *  * SPDX-License-Identifier: Apache-2.0
 *  *****************************************************************************
 */

package org.deeplearning4j.nn.layers.mkldnn;

import org.deeplearning4j.config.DL4JClassLoading;
import org.nd4j.linalg.factory.Nd4j;

import java.lang.reflect.Method;
import java.util.concurrent.atomic.AtomicBoolean;

public class BaseMKLDNNHelper {

    private static AtomicBoolean BACKEND_OK = null;
    private static AtomicBoolean FAILED_CHECK = null;

    public static boolean mklDnnEnabled(){
        if(BACKEND_OK == null){
            String backend = Nd4j.getExecutioner().getEnvironmentInformation().getProperty("backend");
            BACKEND_OK = new AtomicBoolean("CPU".equalsIgnoreCase(backend));
        }

        if(!BACKEND_OK.get() || (FAILED_CHECK != null && FAILED_CHECK.get())){
            //Wrong backend or already failed trying to check
            return false;
        }

        if(!Nd4j.getEnvironment().helpersAllowed()){
            //C++ helpers not allowed
            return false;
        }

        try{
            Class clazz = DL4JClassLoading.loadClassByName("org.nd4j.nativeblas.Nd4jCpu$Environment");
            Method getInstance = clazz.getMethod("getInstance");
            Object instance = getInstance.invoke(null);
            Method isUseMKLDNNMethod = clazz.getMethod("isUseMKLDNN");
            return (boolean) isUseMKLDNNMethod.invoke(instance);
        } catch (Throwable t ){
            FAILED_CHECK = new AtomicBoolean(true);
            return false;
        }
    }

}




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