From 316c6a456c9b9f1964f77e8ba016651405c6f9c0 Mon Sep 17 00:00:00 2001
From: Gustaf Rydholm <gustaf.rydholm@gmail.com>
Date: Thu, 9 Jun 2022 22:30:45 +0200
Subject: Remove abstract mapping

---
 text_recognizer/models/base.py        | 4 ++--
 text_recognizer/models/conformer.py   | 4 ++--
 text_recognizer/models/transformer.py | 4 ++--
 3 files changed, 6 insertions(+), 6 deletions(-)

(limited to 'text_recognizer/models')

diff --git a/text_recognizer/models/base.py b/text_recognizer/models/base.py
index 77c5509..886394d 100644
--- a/text_recognizer/models/base.py
+++ b/text_recognizer/models/base.py
@@ -10,7 +10,7 @@ from torch import nn
 from torch import Tensor
 from torchmetrics import Accuracy
 
-from text_recognizer.data.mappings.base import AbstractMapping
+from text_recognizer.data.mappings.base import EmnistMapping
 
 
 class LitBase(LightningModule):
@@ -22,7 +22,7 @@ class LitBase(LightningModule):
         loss_fn: Type[nn.Module],
         optimizer_configs: DictConfig,
         lr_scheduler_configs: Optional[DictConfig],
-        mapping: Type[AbstractMapping],
+        mapping: Type[EmnistMapping],
     ) -> None:
         super().__init__()
 
diff --git a/text_recognizer/models/conformer.py b/text_recognizer/models/conformer.py
index 487eabe..655ebf6 100644
--- a/text_recognizer/models/conformer.py
+++ b/text_recognizer/models/conformer.py
@@ -6,7 +6,7 @@ from omegaconf import DictConfig
 import torch
 from torch import nn, Tensor
 
-from text_recognizer.data.mappings import AbstractMapping
+from text_recognizer.data.mappings import EmnistMapping
 from text_recognizer.models.base import LitBase
 from text_recognizer.models.metrics import CharacterErrorRate
 from text_recognizer.models.util import first_element
@@ -21,7 +21,7 @@ class LitConformer(LitBase):
         loss_fn: Type[nn.Module],
         optimizer_configs: DictConfig,
         lr_scheduler_configs: Optional[DictConfig],
-        mapping: Type[AbstractMapping],
+        mapping: Type[EmnistMapping],
         max_output_len: int = 451,
         start_token: str = "<s>",
         end_token: str = "<e>",
diff --git a/text_recognizer/models/transformer.py b/text_recognizer/models/transformer.py
index 4bbc671..1ffff60 100644
--- a/text_recognizer/models/transformer.py
+++ b/text_recognizer/models/transformer.py
@@ -5,7 +5,7 @@ from omegaconf import DictConfig
 import torch
 from torch import nn, Tensor
 
-from text_recognizer.data.mappings import AbstractMapping
+from text_recognizer.data.mappings import EmnistMapping
 from text_recognizer.models.base import LitBase
 from text_recognizer.models.metrics import CharacterErrorRate
 
@@ -19,7 +19,7 @@ class LitTransformer(LitBase):
         loss_fn: Type[nn.Module],
         optimizer_configs: DictConfig,
         lr_scheduler_configs: Optional[DictConfig],
-        mapping: Type[AbstractMapping],
+        mapping: Type[EmnistMapping],
         max_output_len: int = 451,
         start_token: str = "<s>",
         end_token: str = "<e>",
-- 
cgit v1.2.3-70-g09d2