what are batch.c_word[1] and batch.c_word[0] ?

[luhua-rain]

Thanks for your code !!!
i wanna know what do they mean?

[galsang]

You need to be familiar with TorchText to understand the syntax. In model/data.py, we make a batch in which each context is parsed as a sequence of words and the corresponding length is counted (the same preprocessing holds for a sequence of bags of characters, c_char).
This process is specified in the definition of a field for the words as below (in model/data.py, 31th line):

self.WORD = data.Field(batch_first=True, tokenize=word_tokenize, lower=True, include_lengths=True)
Note that include_lengths is set to True to include the length information of a sequence of the input words.

[luhua-rain]

Thanks for your answer ！！！！！
Your model trained well on my data ！！
But when i predict（batch_size=1）, i got that :
start (400) + length (1) exceeds dimension size (400).
when my batch_size > 1 , i can run , how can i solve it , i need to predict with batch_size=1