I am trying to generate sequences containing only
1's. I have written the following code, and it works.
import numpy as np batch = 1000 dim = 32 while 1: is_same = False seq = np.random.randint(0, 2, [batch, dim]) for i in range(batch): for j in range(i + 1, batch): if np.array_equal(seq[i], seq[j]): is_same = True if is_same: continue else: break
batch variable is in the thousands. This loop above takes about 30 seconds to complete. This is a data generation part of another
for loop that runs for about 500 iterations and is therefore extremely slow. Is there a faster way to generate this list of sequences without repetition? Thanks.
The desired result is a collection of
batch_size number of sequences each of length
dim containing only
1s such that no two sequences in the collection are the same.