def get_Trans_mask(self, candidates):
mask_matrix = np.zeros([5, self.max_length], dtype=np.uint32)
for k in range(5):
mask_matrix[k] = data_util.fill_mask(self.max_length,
len(candidates[k]),
zero_location='RIGHT')
return mask_matrix
def get_Count_question_mask(self, sentence):
sent_length = len(sentence)
return data_util.fill_mask(self.max_length, sent_length, zero_location='RIGHT')
def get_video_mask(self, video_feature):
video_length = video_feature.shape[0]
return data_util.fill_mask(self.max_length, video_length, zero_location='LEFT')
