It's a clean setup: python 3.11.7, torch 2.0 or later versions. The common observation across both Windows and WSL2, across all versions of pytorch, is: the queue works fine for CPU tensors but zeroes ...

Sometimes the parameters_queue on the actor keep growing, and can consume all the RAM. It can also potentially means that the actor is not getting the latest policy (did not reviewed this).

Llama 2 API with multiprocessing The video tutorial below provides valuable insights into creating an API for the Llama 2 language model, with a focus on supporting multiprocessing with PyTorch.

And Python’s support for multiprocessing is top-heavy: you have to spin up multiple copies of the Python runtime for each core and distribute your work between them.

In recent years, the demand for efficient and scalable machine learning algorithms has surged. Bagging (Bootstrap Aggregating) stands out as a widely used ensemble technique that combines multiple ...