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Why is this recursive map function using all available memory?

I am trying to implement the map function in Python using recursion, running it on Google Colab. The error I’m getting is this: Your session crashed after using all available RAM. It produces a bunch of logs, which I can’t decrypt, but am happy to reproduce. Looks like the code is failing to halt …

Option with optional argument

Suppose that I have I would like to distinguish in my code: –files not specified. –files specified, but with no argument to accept the default. –files myfile, i.e. –files specified with custom argument. With the current docstring I can either Not specify –files. Specify –fi…

CUDA out of memory in Google Colab

I am trying to replicate a GAN study (Stargan-V2). So, I want to train a model (using less data) in Google Colab. But, I got this problem: I changed batch_size but It didn’t work for me. Did you have any idea? How can I fix this problem? Paper: StarGAN v2: Diverse Image Synthesis for Multiple Domains Or…

Python, print from keyword to next dot

So this is my code At the moment it opens the file which you are setting in the first input and searches this file line by line for the keyword you set on the second input. As it is now it prints the whole line where the keyword was found. What I wanna do is just to print from the

Initialize high dimensional sparse matrix

I want to initialize 300,000 x 300,0000 sparse matrix using sklearn, but it requires memory as if it was not sparse: it gives the error: which is the same error as if I initialize using numpy: Even when I go to a very low density, it reproduces the error: Is there a more memory-efficient way to create such a …