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shared-data

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High-performance and seamless sharing and modification of Python objects between processes, without the periodic overhead of serialization and deserialization. Provides fast inter-process communication (IPC) via shared memory. Supports NumPy, Torch arrays, custom classes (including dataclass), classes with methods, and asyncio

  • Updated May 14, 2024
  • Python

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