Move efficientnet from encoder dir

5 files changed, 13 insertions, 8 deletions

diff --git a/text_recognizer/networks/encoders/efficientnet/__init__.py b/text_recognizer/networks/efficientnet/__init__.py
index 344233f..344233f 100644
--- a/text_recognizer/networks/encoders/efficientnet/__init__.py
+++ b/text_recognizer/networks/efficientnet/__init__.py
diff --git a/text_recognizer/networks/encoders/efficientnet/efficientnet.py b/text_recognizer/networks/efficientnet/efficientnet.py
index 9454514..4c9ed75 100644
--- a/text_recognizer/networks/encoders/efficientnet/efficientnet.py
+++ b/text_recognizer/networks/efficientnet/efficientnet.py
@@ -4,8 +4,8 @@ from typing import Tuple
 import attr
 from torch import nn, Tensor
 
-from .mbconv import MBConvBlock
-from .utils import (
+from text_recognizer.networks.efficientnet.mbconv import MBConvBlock
+from text_recognizer.networks.efficientnet.utils import (
     block_args,
     round_filters,
     round_repeats,
@@ -38,6 +38,7 @@ class EfficientNet(nn.Module):
     stochastic_dropout_rate: float = attr.ib(default=0.2)
     bn_momentum: float = attr.ib(default=0.99)
     bn_eps: float = attr.ib(default=1.0e-3)
+    depth: int = attr.ib(default=7)
     out_channels: int = attr.ib(default=None, init=False)
     _conv_stem: nn.Sequential = attr.ib(default=None, init=False)
     _blocks: nn.ModuleList = attr.ib(default=None, init=False)
@@ -47,8 +48,13 @@ class EfficientNet(nn.Module):
         """Post init configuration."""
         self._build()
 
+    @depth.validator
+    def _check_depth(self, attribute: attr._make.Attribute, value: str) -> None:
+        if not 5 <= value <= 7:
+            raise ValueError(f"Depth has to be between 5 and 7, was: {value}")
+
     @arch.validator
-    def check_arch(self, attribute: attr._make.Attribute, value: str) -> None:
+    def _check_arch(self, attribute: attr._make.Attribute, value: str) -> None:
         """Validates the efficientnet architecure."""
         if value not in self.archs:
             raise ValueError(f"{value} not a valid architecure.")
@@ -56,7 +62,7 @@ class EfficientNet(nn.Module):
 
     def _build(self) -> None:
         """Builds the efficientnet backbone."""
-        _block_args = block_args()
+        _block_args = block_args()[: self.depth]
         in_channels = 1  # BW
         out_channels = round_filters(32, self.params)
         self._conv_stem = nn.Sequential(
@@ -88,7 +94,7 @@ class EfficientNet(nn.Module):
                 args.in_channels = args.out_channels
                 args.stride = 1
 
-        in_channels = round_filters(320, self.params)
+        in_channels = round_filters(_block_args[-1].out_channels, self.params)
         self.out_channels = round_filters(1280, self.params)
         self._conv_head = nn.Sequential(
             nn.Conv2d(
diff --git a/text_recognizer/networks/encoders/efficientnet/mbconv.py b/text_recognizer/networks/efficientnet/mbconv.py
index 4b051eb..4b051eb 100644
--- a/text_recognizer/networks/encoders/efficientnet/mbconv.py
+++ b/text_recognizer/networks/efficientnet/mbconv.py
diff --git a/text_recognizer/networks/encoders/efficientnet/utils.py b/text_recognizer/networks/efficientnet/utils.py
index 2b1aebb..5234324 100644
--- a/text_recognizer/networks/encoders/efficientnet/utils.py
+++ b/text_recognizer/networks/efficientnet/utils.py
@@ -77,7 +77,8 @@ def block_args() -> List[DictConfig]:
         [2, 5, (2, 2), 6, 24, 40, 0.25],
         [3, 3, (2, 2), 6, 40, 80, 0.25],
         [3, 5, (1, 1), 6, 80, 112, 0.25],
-        [1, 3, (1, 1), 6, 112, 320, 0.25],
+        [4, 5, (2, 2), 6, 112, 192, 0.25],
+        [1, 3, (1, 1), 6, 192, 320, 0.25],
     ]
     block_args_ = []
     for row in args:
diff --git a/text_recognizer/networks/encoders/__init__.py b/text_recognizer/networks/encoders/__init__.py
deleted file mode 100644
index 25aed0e..0000000
--- a/text_recognizer/networks/encoders/__init__.py
+++ /dev/null
@@ -1,2 +0,0 @@
-"""Vision backbones."""
-from .efficientnet import EfficientNet