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| author | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2022-09-18 18:11:21 +0200 |
|---|---|---|
| committer | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2022-09-18 18:11:53 +0200 |
| commit | 2cc6aa059139b57057609817913ad515063c2eab (patch) | |
| tree | 5433f69a5eaf63e064a100bf900783127c7b1ff4 /text_recognizer/networks/transformer/embeddings | |
| parent | 88caa5c466225d4752541c352c5777235f8f0c61 (diff) | |
Format imports
Format imports
Diffstat (limited to 'text_recognizer/networks/transformer/embeddings')
4 files changed, 8 insertions, 9 deletions
diff --git a/text_recognizer/networks/transformer/embeddings/absolute.py b/text_recognizer/networks/transformer/embeddings/absolute.py index e5cdc18..9274b55 100644 --- a/text_recognizer/networks/transformer/embeddings/absolute.py +++ b/text_recognizer/networks/transformer/embeddings/absolute.py @@ -1,9 +1,9 @@ """Absolute positional embedding.""" -from einops import rearrange import torch -from torch import nn import torch.nn.functional as F +from einops import rearrange +from torch import nn def l2norm(t, groups=1): @@ -15,7 +15,7 @@ def l2norm(t, groups=1): class AbsolutePositionalEmbedding(nn.Module): def __init__(self, dim, max_seq_len, l2norm_embed=False): super().__init__() - self.scale = dim ** -0.5 if not l2norm_embed else 1.0 + self.scale = dim**-0.5 if not l2norm_embed else 1.0 self.max_seq_len = max_seq_len self.l2norm_embed = l2norm_embed self.emb = nn.Embedding(max_seq_len, dim) diff --git a/text_recognizer/networks/transformer/embeddings/axial.py b/text_recognizer/networks/transformer/embeddings/axial.py index 7b84e12..25d8f60 100644 --- a/text_recognizer/networks/transformer/embeddings/axial.py +++ b/text_recognizer/networks/transformer/embeddings/axial.py @@ -3,10 +3,11 @@ Stolen from: https://github.com/lucidrains/axial-attention/blob/eff2c10c2e76c735a70a6b995b571213adffbbb7/axial_attention/axial_attention.py#L100 """ +from functools import reduce +from operator import mul + import torch from torch import nn -from operator import mul -from functools import reduce class AxialPositionalEmbedding(nn.Module): diff --git a/text_recognizer/networks/transformer/embeddings/fourier.py b/text_recognizer/networks/transformer/embeddings/fourier.py index 7843c60..28da7a1 100644 --- a/text_recognizer/networks/transformer/embeddings/fourier.py +++ b/text_recognizer/networks/transformer/embeddings/fourier.py @@ -1,8 +1,7 @@ """Fourier positional embedding.""" import numpy as np import torch -from torch import nn -from torch import Tensor +from torch import Tensor, nn class PositionalEncoding(nn.Module): diff --git a/text_recognizer/networks/transformer/embeddings/rotary.py b/text_recognizer/networks/transformer/embeddings/rotary.py index 722478e..cc91206 100644 --- a/text_recognizer/networks/transformer/embeddings/rotary.py +++ b/text_recognizer/networks/transformer/embeddings/rotary.py @@ -7,8 +7,7 @@ Explanation of roatary: https://blog.eleuther.ai/rotary-embeddings/ """ import torch -from torch import nn -from torch import Tensor +from torch import Tensor, nn class RotaryEmbedding(nn.Module): |