Java Code Examples for org.bytedeco.javacpp.Loader#totalCores()
The following examples show how to use
org.bytedeco.javacpp.Loader#totalCores() .
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Example 1
Source File: Nd4jBlas.java From nd4j with Apache License 2.0 | 6 votes |
public Nd4jBlas() { int numThreads; String skipper = System.getenv("ND4J_SKIP_BLAS_THREADS"); if (skipper == null || skipper.isEmpty()) { String numThreadsString = System.getenv("OMP_NUM_THREADS"); if (numThreadsString != null && !numThreadsString.isEmpty()) { numThreads = Integer.parseInt(numThreadsString); setMaxThreads(numThreads); } else { int cores = Loader.totalCores(); int chips = Loader.totalChips(); if (cores > 0 && chips > 0) numThreads = Math.max(1, cores / chips); else numThreads = NativeOps.getCores(Runtime.getRuntime().availableProcessors()); setMaxThreads(numThreads); } log.info("Number of threads used for BLAS: {}", getMaxThreads()); } }
Example 2
Source File: Nd4jBlas.java From deeplearning4j with Apache License 2.0 | 6 votes |
public Nd4jBlas() { int numThreads; String skipper = System.getenv(ND4JEnvironmentVars.ND4J_SKIP_BLAS_THREADS); if (skipper == null || skipper.isEmpty()) { String numThreadsString = System.getenv(ND4JEnvironmentVars.OMP_NUM_THREADS); if (numThreadsString != null && !numThreadsString.isEmpty()) { numThreads = Integer.parseInt(numThreadsString); setMaxThreads(numThreads); } else { int cores = Loader.totalCores(); int chips = Loader.totalChips(); if (cores > 0 && chips > 0) numThreads = Math.max(1, cores / chips); else numThreads = NativeOpsHolder.getCores(Runtime.getRuntime().availableProcessors()); setMaxThreads(numThreads); } String logInit = System.getProperty(ND4JSystemProperties.LOG_INITIALIZATION); if(logOpenMPBlasThreads() && (logInit == null || logInit.isEmpty() || Boolean.parseBoolean(logInit))) { log.info("Number of threads used for OpenMP BLAS: {}", getMaxThreads()); } } }
Example 3
Source File: NativeOpsHolder.java From nd4j with Apache License 2.0 | 5 votes |
private NativeOpsHolder() { try { Properties props = Nd4jContext.getInstance().getConf(); String name = System.getProperty(Nd4j.NATIVE_OPS, props.get(Nd4j.NATIVE_OPS).toString()); Class<? extends NativeOps> nativeOpsClazz = Class.forName(name).asSubclass(NativeOps.class); deviceNativeOps = nativeOpsClazz.newInstance(); deviceNativeOps.initializeDevicesAndFunctions(); int numThreads; String numThreadsString = System.getenv("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( deviceNativeOps.getCores(Runtime.getRuntime().availableProcessors())); } //deviceNativeOps.setOmpNumThreads(4); log.info("Number of threads used for NativeOps: {}", deviceNativeOps.ompGetMaxThreads()); } catch (Exception | Error e) { throw new RuntimeException( "ND4J is probably missing dependencies. For more information, please refer to: http://nd4j.org/getstarted.html", e); } }
Example 4
Source File: NativeOpsHolder.java From deeplearning4j with Apache License 2.0 | 5 votes |
private NativeOpsHolder() { try { Properties props = Nd4jContext.getInstance().getConf(); String name = System.getProperty(Nd4j.NATIVE_OPS, props.get(Nd4j.NATIVE_OPS).toString()); Class<? extends NativeOps> nativeOpsClazz = Class.forName(name).asSubclass(NativeOps.class); deviceNativeOps = nativeOpsClazz.newInstance(); 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); } }