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Deep Reinforcement Learning Hands-On
book

Deep Reinforcement Learning Hands-On

by Oleg Vasilev, Maxim Lapan, Martijn van Otterlo, Mikhail Yurushkin, Basem O. F. Alijla
June 2018
Intermediate to advanced
546 pages
13h 30m
English
Packt Publishing
Content preview from Deep Reinforcement Learning Hands-On

Multiprocessing in Python

Python includes the multiprocessing (most of the time abbreviated to just mp) module to support process-level parallelism and the required communication primitives. In our example, we'll use the two main classes from this module:

  • mp.Queue: Concurrent multi-producer, multi-consumer FIFO queue with transparent serialization and deserialization of objects placed in the queue
  • mp.Process: A piece of code that is run in the child process and methods to control it from the parent's process

PyTorch provides its own thin wrapper around the multiprocessing module, which adds the proper handling of tensors and variables on CUDA devices and shared memory. It provides exactly the same functionality as the multiprocessing module from ...

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Publisher Resources

ISBN: 9781788834247