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Core Neural Networks Framework
/*
* Copyright (c) 2019 by Andrew Charneski.
*
* The author licenses this file to you under the
* Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance
* with the License. You may obtain a copy
* of the License at
*
* http://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.
*/
package com.simiacryptus.mindseye.lang;
import com.simiacryptus.lang.Settings;
import com.simiacryptus.ref.wrappers.RefString;
import com.simiacryptus.ref.wrappers.RefSystem;
import com.simiacryptus.util.JsonUtil;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import javax.annotation.Nullable;
import static com.simiacryptus.lang.Settings.get;
public class CoreSettings implements Settings {
private static final Logger logger = LoggerFactory.getLogger(CoreSettings.class);
@Nullable
private static transient CoreSettings INSTANCE = null;
public final int backpropAggregationSize = get("BACKPROP_AGG_SIZE", 3);
public final int jvmThreads = get("THREADS", 64);
public final boolean singleThreaded = get("SINGLE_THREADED", false);
private CoreSettings() {
RefSystem.setProperty("java.util.concurrent.ForkJoinPool.common.parallelism",
Integer.toString(jvmThreads));
}
public static CoreSettings INSTANCE() {
if (null == INSTANCE) {
synchronized (CoreSettings.class) {
if (null == INSTANCE) {
INSTANCE = new CoreSettings();
logger.info(
RefString.format("Initialized %s = %s", INSTANCE.getClass().getSimpleName(), JsonUtil.toJson(INSTANCE)));
}
}
}
return INSTANCE;
}
}
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