what does these two figures mean?

yanxinzju / CSS-VQA

Counterfactual Samples Synthesizing for Robust VQA

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what does these two figures mean? #18

Open bxwldljh opened 1 year ago

bxwldljh commented 1 year ago

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?

ww01911 commented 10 months ago

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