/*
 *  ******************************************************************************
 *  *
 *  *
 *  * 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.nd4j.nativeblas;

import java.util.Properties;
import lombok.Getter;
import org.bytedeco.javacpp.Loader;
import org.nd4j.common.config.ND4JClassLoading;
import org.nd4j.common.config.ND4JEnvironmentVars;
import org.nd4j.common.config.ND4JSystemProperties;
import org.nd4j.common.io.ReflectionUtils;
import org.nd4j.context.Nd4jContext;
import org.nd4j.linalg.factory.Nd4j;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

public class NativeOpsHolder {
    private static Logger log = LoggerFactory.getLogger(NativeOpsHolder.class);
    private static final NativeOpsHolder INSTANCE = new NativeOpsHolder();

    @Getter
    private final NativeOps deviceNativeOps;

    public static int getCores(int totals) {
        // that's special case for Xeon Phi
        if (totals >= 256)
            return 64;

        int ht_off = totals / 2; // we count off HyperThreading without any excuses
        if (ht_off <= 4)
            return 4; // special case for Intel i5. and nobody likes i3 anyway

        if (ht_off > 24) {
            int rounds = 0;
            while (ht_off > 24) { // we loop until final value gets below 24 cores, since that's reasonable threshold as of 2016
                if (ht_off > 24) {
                    ht_off /= 2; // we dont' have any cpus that has higher number then 24 physical cores
                    rounds++;
                }
            }
            // 20 threads is special case in this branch
            if (ht_off == 20 && rounds < 2)
                ht_off /= 2;
        } else { // low-core models are known, but there's a gap, between consumer cpus and xeons
            if (ht_off <= 6) {
                // that's more likely consumer-grade cpu, so leave this value alone
                return ht_off;
            } else {
                if (isOdd(ht_off)) // if that's odd number, it's final result
                    return ht_off;

                // 20 threads & 16 threads are special case in this branch, where we go min value
                if (ht_off == 20 || ht_off == 16)
                    ht_off /= 2;
            }
        }
        return ht_off;
    }

    private static boolean isOdd(int value) {
        return (value % 2 != 0);
    }

    private NativeOpsHolder() {
        try {
            Properties props = Nd4jContext.getInstance().getConf();

            String name = System.getProperty(Nd4j.NATIVE_OPS, props.get(Nd4j.NATIVE_OPS).toString());
            Class<? extends NativeOps> nativeOpsClass = ND4JClassLoading
                    .loadClassByName(name)
                    .asSubclass(NativeOps.class);
            deviceNativeOps = ReflectionUtils.newInstance(nativeOpsClass);

            deviceNativeOps.initializeDevicesAndFunctions();
            int numThreads;
            String numThreadsString = System.getenv(ND4JEnvironmentVars.OMP_NUM_THREADS);
            if (numThreadsString != null && !numThreadsString.isEmpty()) {
                numThreads = Integer.parseInt(numThreadsString);
                deviceNativeOps.setOmpNumThreads(numThreads);
            } else {
                int cores = Loader.totalCores();
                int chips = Loader.totalChips();
                if (chips > 0 && cores > 0) {
                    deviceNativeOps.setOmpNumThreads(Math.max(1, cores / chips));
                } else
                    deviceNativeOps.setOmpNumThreads(
                                    getCores(Runtime.getRuntime().availableProcessors()));
            }
            //deviceNativeOps.setOmpNumThreads(4);

            String logInitProperty = System.getProperty(ND4JSystemProperties.LOG_INITIALIZATION, "true");
            boolean logInit = Boolean.parseBoolean(logInitProperty);

            if(logInit) {
                log.info("Number of threads used for linear algebra: {}", deviceNativeOps.ompGetMaxThreads());
            }
        } catch (Exception | Error e) {
            throw new RuntimeException(
                            "ND4J is probably missing dependencies. For more information, please refer to: https://deeplearning4j.konduit.ai/nd4j/backend",
                            e);
        }
    }

    public static NativeOpsHolder getInstance() {
        return INSTANCE;
    }
}

@@ -3582,32 +3582,34 @@
 );%0A%0A            
+//
 deviceNativeOps.

Update NativeOpsHolder.java