Is there multithreaded version of transpose of multidimensional array in Python? Traditional Numpy transpose works only on 1 CPU thread and works too slow because of that. My code that works too slow: import numpy as np # data is array of uint16 data = np.transpose(data, axes=(1, 2, 3, 0)) For data of shape (16, 938, 299, 299) it has been working for half an hour and hasn't finished yet! Also it consumed 20 GB of RAM. Continue reading...
