added decoder_input method to build the batch tensor to give in input to the deocder
This commit is contained in:
parent
443f54fffd
commit
1649cd7768
15
Project_Model/Libs/Transformer/Utils/decoder_input.py
Normal file
15
Project_Model/Libs/Transformer/Utils/decoder_input.py
Normal file
@ -0,0 +1,15 @@
|
|||||||
|
import torch
|
||||||
|
from Project_Model.Libs.Transformer import normalize_sequence
|
||||||
|
from Project_Model.Libs.Embedder import NanoSocratesEmbedder as Embedder
|
||||||
|
|
||||||
|
|
||||||
|
def get_decoder_input(batch_size, sos_token,pad_token, seq_len, embedder: Embedder):
|
||||||
|
|
||||||
|
single_decoder_input, _ = normalize_sequence([sos_token],seq_len,pad_token, end_token=0, add_ending=False)
|
||||||
|
tensor_decoder_input = torch.tensor(single_decoder_input[:])
|
||||||
|
embedded_decoder_intput = embedder(tensor_decoder_input)
|
||||||
|
|
||||||
|
batch_decoder_input = embedded_decoder_intput.unsqueeze(0).repeat(batch_size, 1)
|
||||||
|
return batch_decoder_input
|
||||||
|
|
||||||
|
|
||||||
Loading…
x
Reference in New Issue
Block a user