如何将参差不齐的张量保存为文件？

Question

How can I save a ragged tensor as a file on my disk and then reuse it in calculations opening it from the disk? Tensor consists of a nested array of numbers with 4 signs after the point. (I'm working in a Google Colab and using Google disk to save my files, I know only Python a little bit).

Here is my data: I take this column "sim_fasttex" which is a list of lists of different length, reshape each of them according to "h" and "w" and collect all these matrices in one list, so finally it's going to be a ragged tensor of the shape (number of rows in initial table, variable length of a matrix, variable heigth of a matrix)

Answer 1

I don't know your context but,

You can save any object to a file using the pickle module. Like this

import pickle

the_object = object

with open("a_file_name.pkl", "wb") as f:
    pickle.dump(the_object, f)

And later you can load that same object:

import pickle
with open("a_file_name.pkl", "rb") as f:
    the_object = pickle.load(f)