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what does these two figures mean? #18

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bxwldljh opened this issue May 23, 2023 · 1 comment

bxwldljh commented May 23, 2023 •

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Hi, nice work and I am interested in it. In train.py, there are a few lines of code I do not understand:

m1 = copy.deepcopy(sen_mask)  ##[0,0,0...0,1,1,1,1]
m1.scatter_(1, w_ind, 0)  ##[0,0,0...0,0,1,1,0]
m2 = 1 - m1  ##[1,1,1...1,1,0,0,1]
if dataset=='cpv1':
    m3=m1*18330
else:
    m3 = m1 * 18455  ##[0,0,0...0,0,18455,18455,0]
q2 = q2 * m2.long() + m3.long()

can you tell me what does 18330 and 18455 mean?

The text was updated successfully, but these errors were encountered:

ww01911 commented Nov 27, 2023

it is the padding_idx of word dictionary, see more in dataset.py

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