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-rw-r--r--text_recognizer/models/transformer.py3
-rw-r--r--text_recognizer/models/vq_transformer.py2
2 files changed, 0 insertions, 5 deletions
diff --git a/text_recognizer/models/transformer.py b/text_recognizer/models/transformer.py
index 0acc30a..50bf73d 100644
--- a/text_recognizer/models/transformer.py
+++ b/text_recognizer/models/transformer.py
@@ -5,7 +5,6 @@ import attr
import torch
from torch import Tensor
-from text_recognizer.data.base_mapping import AbstractMapping
from text_recognizer.models.metrics import CharacterErrorRate
from text_recognizer.models.base import BaseLitModel
@@ -14,8 +13,6 @@ from text_recognizer.models.base import BaseLitModel
class TransformerLitModel(BaseLitModel):
"""A PyTorch Lightning model for transformer networks."""
- mapping: Type[AbstractMapping] = attr.ib()
-
max_output_len: int = attr.ib(default=451)
start_token: str = attr.ib(default="<s>")
end_token: str = attr.ib(default="<e>")
diff --git a/text_recognizer/models/vq_transformer.py b/text_recognizer/models/vq_transformer.py
index b419e97..c07efa4 100644
--- a/text_recognizer/models/vq_transformer.py
+++ b/text_recognizer/models/vq_transformer.py
@@ -5,7 +5,6 @@ import attr
import torch
from torch import Tensor
-from text_recognizer.data.base_mapping import AbstractMapping
from text_recognizer.models.transformer import TransformerLitModel
@@ -13,7 +12,6 @@ from text_recognizer.models.transformer import TransformerLitModel
class VqTransformerLitModel(TransformerLitModel):
"""A PyTorch Lightning model for transformer networks."""
- mapping: Type[AbstractMapping] = attr.ib()
alpha: float = attr.ib(default=1.0)
def forward(self, data: Tensor) -> Tensor: