From 3b57490a630f1dae6fb069be172b503c50070d75 Mon Sep 17 00:00:00 2001
From: Ross Wightman <rwightman@gmail.com>
Date: Sun, 7 Feb 2021 22:09:25 -0800
Subject: [PATCH] Fix some half removed resnet model defs, pooling for
 ecaresnet269d

---
 timm/models/resnet.py | 18 +-----------------
 1 file changed, 1 insertion(+), 17 deletions(-)

diff --git a/timm/models/resnet.py b/timm/models/resnet.py
index 6a28c454..6dec9d53 100644
--- a/timm/models/resnet.py
+++ b/timm/models/resnet.py
@@ -217,7 +217,7 @@ default_cfgs = {
         interpolation='bicubic', first_conv='conv1.0', input_size=(3, 256, 256), crop_pct=0.94, pool_size=(8, 8)),
     'ecaresnet269d': _cfg(
         url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/ecaresnet269d_320_ra2-7baa55cb.pth',
-        interpolation='bicubic', first_conv='conv1.0', input_size=(3, 320, 320), pool_size=(8, 8),
+        interpolation='bicubic', first_conv='conv1.0', input_size=(3, 320, 320), pool_size=(10, 10),
         crop_pct=1.0, test_input_size=(3, 352, 352)),
 
     # Efficient Channel Attention ResNeXts
@@ -1029,14 +1029,6 @@ def swsl_resnext101_32x16d(pretrained=True, **kwargs):
     return _create_resnet('swsl_resnext101_32x16d', pretrained, **model_args)
 
 
-@register_model
-def ecaresnet18(pretrained=False, **kwargs):
-    """ Constructs an ECA-ResNet-18 model.
-    """
-    model_args = dict(block=BasicBlock, layers=[2, 2, 2, 2], block_args=dict(attn_layer='eca'), **kwargs)
-    return _create_resnet('ecaresnet18', pretrained, **model_args)
-
-
 @register_model
 def ecaresnet26t(pretrained=False, **kwargs):
     """Constructs an ECA-ResNeXt-26-T model.
@@ -1049,14 +1041,6 @@ def ecaresnet26t(pretrained=False, **kwargs):
     return _create_resnet('ecaresnet26t', pretrained, **model_args)
 
 
-@register_model
-def ecaresnet50(pretrained=False, **kwargs):
-    """Constructs an ECA-ResNet-50 model.
-    """
-    model_args = dict(block=Bottleneck, layers=[3, 4, 6, 3], block_args=dict(attn_layer='eca'), **kwargs)
-    return _create_resnet('ecaresnet50', pretrained, **model_args)
-
-
 @register_model
 def ecaresnet50d(pretrained=False, **kwargs):
     """Constructs a ResNet-50-D model with eca.