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authorGustaf Rydholm <gustaf.rydholm@gmail.com>2021-05-02 14:10:53 +0200
committerGustaf Rydholm <gustaf.rydholm@gmail.com>2021-05-02 14:10:53 +0200
commit1baeae6b414f71906bd1480d3ddc393ae878bd63 (patch)
tree288550c42a7dfea43e8464b00adfa7e47ef2bc5e /text_recognizer
parent1d0977585f01c42e9f6280559a1a98037907a62e (diff)
Working on attention
Diffstat (limited to 'text_recognizer')
-rw-r--r--text_recognizer/networks/transformer/attention.py7
1 files changed, 7 insertions, 0 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