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reset_classifier: fix it to actually work, expose toggle param for gpu #7

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reset_classifier: fix it to actually work, expose toggle param for gpu #7

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19 changes: 13 additions & 6 deletions models/cswin.py
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Original file line number Diff line number Diff line change
Expand Up @@ -326,16 +326,23 @@ def no_weight_decay(self):
def get_classifier(self):
return self.head

def reset_classifier(self, num_classes, global_pool=''):
if self.num_classes != num_classes:
print ('reset head to', num_classes)
def reset_classifier(self, num_classes, force=False, to_gpu=False):
if self.num_classes != num_classes or force:
print("reset head to", num_classes)
self.num_classes = num_classes
self.head = nn.Linear(self.out_dim, num_classes) if num_classes > 0 else nn.Identity()
self.head = self.head.cuda()
trunc_normal_(self.head.weight, std=.02)
self.head = (
nn.Linear(self.head.in_features, num_classes)
if num_classes > 0
else nn.Identity()
)
if to_gpu:
self.head = self.head.cuda()
# init new head
trunc_normal_(self.head.weight, std=0.02)
if self.head.bias is not None:
nn.init.constant_(self.head.bias, 0)


def forward_features(self, x):
B = x.shape[0]
x = self.stage1_conv_embed(x)
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