Working on attention

2 files changed, 9 insertions, 2 deletions

diff --git a/text_recognizer/networks/transformer/attention.py b/text_recognizer/networks/transformer/attention.py
index e1324af..8724691 100644
--- a/text_recognizer/networks/transformer/attention.py
+++ b/text_recognizer/networks/transformer/attention.py
@@ -58,6 +58,7 @@ class Attention(nn.Module):
         context_mask: Optional[Tensor],
         rotary_pos_emb: Optional[Tensor] = None,
     ) -> Tuple[Tensor, Tensor]:
+        b, n, _, device = x.shape, x.device
         q, k, v = self.qkv_fn(x)
         q, k = (
             self._apply_rotary_emb(q, k, rotary_pos_emb)
@@ -66,7 +67,13 @@ class Attention(nn.Module):
             k,
         )
 
+        input_mask = None
         if any(x is not None for x in (mask, context_mask)):
+            q_mask = (
+                mask
+                if mask is not None
+                else lambda: torch.ones((b, n), device=device).bool()
+            )
             pass
 
         # Compute the attention
diff --git a/training/run_experiment.py b/training/run_experiment.py
index 2b3ecab..4e045c7 100644
--- a/training/run_experiment.py
+++ b/training/run_experiment.py
@@ -149,9 +149,9 @@ def run(config: DictConfig) -> None:
 
 
 @hydra.main(config_path="conf", config_name="config")
-def main(cfg: DictConfig) -> None:
+def main(config: DictConfig) -> None:
     """Loads config with hydra."""
-    run(cfg)
+    run(config)
 
 
 if __name__ == "__main__":