Fix pool size in cspnet

timm/models/cspnet.py

@@ -10,7 +10,7 @@ Based on paper `CSPNet: A New Backbone that can Enhance Learning Capability of C
 
 Reference impl via darknet cfg files at https://github.com/WongKinYiu/CrossStagePartialNetworks
 
-Hacked together by Ross Wightman
+Hacked together by / Copyright 2020 Ross Wightman
 """
 import torch
 import torch.nn as nn
@@ -28,7 +28,7 @@ __all__ = ['CspNet']  # model_registry will add each entrypoint fn to this
 def _cfg(url='', **kwargs):
     return {
         'url': url,
-        'num_classes': 1000, 'input_size': (3, 256, 256), 'pool_size': (7, 7),
+        'num_classes': 1000, 'input_size': (3, 256, 256), 'pool_size': (8, 8),
         'crop_pct': 0.887, 'interpolation': 'bilinear',
         'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
         'first_conv': 'stem.conv1.conv', 'classifier': 'head.fc',
@@ -42,7 +42,7 @@ default_cfgs = {
     'cspresnet50w': _cfg(url=''),
     'cspresnext50': _cfg(
         url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/cspresnext50_ra_224-648b4713.pth',
-        input_size=(3, 224, 224), crop_pct=0.875  # FIXME I trained this at 224x224, not 256 like ref impl
+        input_size=(3, 224, 224), pool_size=(7, 7), crop_pct=0.875  # FIXME I trained this at 224x224, not 256 like ref impl
     ),
     'cspresnext50_iabn': _cfg(url=''),
     'cspdarknet53': _cfg(