From bfb68de5ce080bb9d2979a3a12459733c5582b6c Mon Sep 17 00:00:00 2001
From: Schneider Leo <leo.schneider@etu.ec-lyon.fr>
Date: Mon, 21 Oct 2024 14:26:52 +0200
Subject: [PATCH] datasets
---
model_custom.py | 11 ++++++++++-
1 file changed, 10 insertions(+), 1 deletion(-)
diff --git a/model_custom.py b/model_custom.py
index 7f8a7d1..2c024d1 100644
--- a/model_custom.py
+++ b/model_custom.py
@@ -101,15 +101,24 @@ class Model_Common_Transformer(nn.Module):
d_model=self.embedding_dim)
def forward(self, seq, charge):
+ print('seq', seq)
+ print('charge', charge)
meta_ohe = torch.nn.functional.one_hot(charge - 1, self.charge_max).float()
+ print('meta_ohe', meta_ohe)
seq_emb = torch.nn.functional.one_hot(seq, self.nb_aa).float()
+ print('seq_emb', seq_emb)
emb = self.pos_embedding(self.emb(seq_emb))
- meta_enc = self.meta_enc(meta_ohe)
print('emb', emb)
+ meta_enc = self.meta_enc(meta_ohe)
+ print('meta_enc', meta_enc)
enc = self.encoder(emb)
+ print('enc', enc)
out_rt = self.decoder_RT(enc)
+ print('out_rt', out_rt)
int_enc = torch.mul(enc, meta_enc)
+ print('int_enc', int_enc)
out_int = self.decoder_int(int_enc)
+ print('out_int', out_int)
return out_rt.flatten(), out_int
--
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