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authorGustaf Rydholm <gustaf.rydholm@gmail.com>2022-09-03 12:13:02 +0200
committerGustaf Rydholm <gustaf.rydholm@gmail.com>2022-09-03 12:13:02 +0200
commit73ccaaa24936faed36fcc467532baa5386d402ae (patch)
treec7230fff21b8a780c2b0cd8a5d610075cbb7f21e /text_recognizer/networks/perceiver/perceiver.py
parent5dd76ca9a3ff35c57cbc7c607afbdb4ee1c8b36f (diff)
Update perceiver
Diffstat (limited to 'text_recognizer/networks/perceiver/perceiver.py')
-rw-r--r--text_recognizer/networks/perceiver/perceiver.py22
1 files changed, 13 insertions, 9 deletions
diff --git a/text_recognizer/networks/perceiver/perceiver.py b/text_recognizer/networks/perceiver/perceiver.py
index 65ee20c..d4bca0b 100644
--- a/text_recognizer/networks/perceiver/perceiver.py
+++ b/text_recognizer/networks/perceiver/perceiver.py
@@ -2,9 +2,9 @@
A copy from lucidrains.
"""
-from itertools import repeat
from typing import Optional
+from einops import repeat, rearrange
import torch
from torch import nn, Tensor
@@ -44,13 +44,17 @@ class PerceiverIO(nn.Module):
self.layers = nn.ModuleList(
[
- [
- PreNorm(
- latent_dim,
- Attention(latent_dim, heads=latent_heads, dim_head=latent_dim),
- ),
- PreNorm(latent_dim, FeedForward(latent_dim)),
- ]
+ nn.ModuleList(
+ [
+ PreNorm(
+ latent_dim,
+ Attention(
+ latent_dim, heads=latent_heads, dim_head=latent_dim
+ ),
+ ),
+ PreNorm(latent_dim, FeedForward(latent_dim)),
+ ]
+ )
for _ in range(depth)
]
)
@@ -69,7 +73,7 @@ class PerceiverIO(nn.Module):
self, data: Tensor, queries: Tensor, mask: Optional[Tensor] = None
) -> Tensor:
b = data.shape[0]
- x = repeat(self.latents, "nd -> bnd", b=b)
+ x = repeat(self.latents, "n d -> b n d", b=b)
cross_attn, cross_ff = self.cross_attn_block