AkshayRoyal

Cached output gets repeatedly stored in RAM everytime it is computed (Unexpected behaviour)

1

Reproducible code ``` import numpy as np from joblib import Memory cache_dir ="./cache/" mem = Memory(location=cache_dir) arr = np.random.randint(1,9999999999,size=199999999).astype("float") def complex_func(x): return (np.log(x**2-1) + np.sqrt(x) + np.sin(x)) cached_function = mem.cache(complex_func)...

Can someone please elaborate this as I am unable to get what joblib documentation meant when it mentioned memory cannot be used on some complex objects? There is a very...

## 🐛 Bug **I am using tf 2.12 on python 3.10 and albumentations 1.3.0.** I used the fashion mnist toy dataset to demonstrate the issue. I converted the dataset to...