def cal_hist(self, t1, t2, data1_maxlen, hist_size):
mhist = np.zeros((data1_maxlen, hist_size), dtype=np.float32)
t1_cont = list(self.data1[t1])
t2_cont = list(self.data2[t2])
d1len = len(t1_cont)
if self.use_hist_feats:
assert (t1, t2) in self.hist_feats
curr_pair_feats = list(self.hist_feats[(t1, t2)])
caled_hist = np.reshape(curr_pair_feats, (d1len, hist_size))
if d1len < data1_maxlen:
mhist[:d1len, :] = caled_hist[:, :]
else:
mhist[:, :] = caled_hist[:data1_maxlen, :]
else:
t1_rep = self.embed[t1_cont]
t2_rep = self.embed[t2_cont]
mm = t1_rep.dot(np.transpose(t2_rep))
for (i,j), v in np.ndenumerate(mm):
if i >= data1_maxlen:
break
vid = int((v + 1.) / 2. * ( hist_size - 1.))
mhist[i][vid] += 1.
mhist += 1.
mhist = np.log10(mhist)
return mhist
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