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Update metaformers.py

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Fredo Guan 2023-01-18 12:25:07 -08:00
parent 383c9fd43d
commit 53f992723c
1 changed files with 4 additions and 0 deletions
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timm/models/metaformers.py
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@ -175,12 +175,16 @@ class Attention(nn.Module):
class RandomMixing(nn.Module): class RandomMixing(nn.Module):
def __init__(self, num_tokens=196, **kwargs): def __init__(self, num_tokens=196, **kwargs):
super().__init__() super().__init__()
'''
self.random_matrix = nn.parameter.Parameter( self.random_matrix = nn.parameter.Parameter(
data=torch.softmax(torch.rand(num_tokens, num_tokens), dim=-1), data=torch.softmax(torch.rand(num_tokens, num_tokens), dim=-1),
requires_grad=False) requires_grad=False)
'''
self.random_matrix = torch.softmax(torch.rand(num_tokens, num_tokens)
def forward(self, x): def forward(self, x):
B, H, W, C = x.shape B, H, W, C = x.shape
x = x.reshape(B, H*W, C) x = x.reshape(B, H*W, C)
# FIXME change to work with arbitrary input sizes
x = torch.einsum('mn, bnc -> bmc', self.random_matrix, x) x = torch.einsum('mn, bnc -> bmc', self.random_matrix, x)
x = x.reshape(B, H, W, C) x = x.reshape(B, H, W, C)
return x return x