(20210208已解决)numexpr.utils:NumExpr defaulting to 4 threads

• Overview

  logging.info总是显示INFO:numexpr.utils:NumExpr defaulting to 4 threads

• numexpr.utils

  GitHub OfficialWeb

  NumExpr is a fast numerical expression evaluator for NumPy.

  With it, expressions that operate on arrays are accelerated and use less memory than doing the same calculation in Python.

  In addition, its multi-threaded capabilities can make use of all your cores – which generally results in substantial performance scaling compared to NumPy.

  Last but not least, numexpr can make use of Intel’s VML(Vector Math Library)

  理解VML||MKL

• Tutorial

  How it works