Loading zoo/ccip/caformer.py +1 −1 Original line number Diff line number Diff line Loading @@ -26,7 +26,7 @@ class CaformerBackbone(torch.nn.Module): return x def get_caformer(input_resolution: int = 384, heads: int = 32, feat_dims: int = 1024, **kwargs): def get_caformer(input_resolution: int = 384, heads: int = 8, feat_dims: int = 768, **kwargs): transform = [ Normalize((0.48145466, 0.4578275, 0.40821073), (0.26862954, 0.26130258, 0.27577711)), ] Loading zoo/ccip/model.py +1 −0 Original line number Diff line number Diff line Loading @@ -73,5 +73,6 @@ if __name__ == '__main__': data = torch.randn(4,3,384,384).cuda() model = CCIP('caformer').cuda() print(model.feature.backbone.attnpool.num_heads) print(model(data)) Loading
zoo/ccip/caformer.py +1 −1 Original line number Diff line number Diff line Loading @@ -26,7 +26,7 @@ class CaformerBackbone(torch.nn.Module): return x def get_caformer(input_resolution: int = 384, heads: int = 32, feat_dims: int = 1024, **kwargs): def get_caformer(input_resolution: int = 384, heads: int = 8, feat_dims: int = 768, **kwargs): transform = [ Normalize((0.48145466, 0.4578275, 0.40821073), (0.26862954, 0.26130258, 0.27577711)), ] Loading
zoo/ccip/model.py +1 −0 Original line number Diff line number Diff line Loading @@ -73,5 +73,6 @@ if __name__ == '__main__': data = torch.randn(4,3,384,384).cuda() model = CCIP('caformer').cuda() print(model.feature.backbone.attnpool.num_heads) print(model(data))