[rassibassi]

What's the difference to using joblibs Memory class similar to this implementation:

https://github.com/stanfordnlp/dspy/blob/main/dsp/modules/ca...

[khaledh]

I was going to mention this as well. It's fairly similar:

  memory = joblib.memory.Memory(...)
  
  @memory.cache
  def slow_func(...):
      ...

[rassibassi]

The diskcache docs state:

""" Caching Libraries

    joblib.Memory provides caching functions and works by explicitly saving the inputs and outputs to files. It is designed to work with non-hashable and potentially large input and output data types such as numpy arrays.

""" From https://pypi.org/project/diskcache/

[williamzeng0]

This is great! I see it also supports an 'ignore' parameter.