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Width was typod as weight #1800

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Merged
patil-suraj merged 2 commits into from
Dec 27, 2022
Merged

Width was typod as weight #1800

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Width was typod as weight
Helw150 Dec 21, 2022
adae7a4
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Helw150 Dec 21, 2022
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14 changes: 5 additions & 9 deletions src/diffusers/models/attention.py
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Original file line number Diff line number Diff line change
Expand Up @@ -204,17 +204,17 @@ def forward(
"""
# 1. Input
if self.is_input_continuous:
batch, channel, height, weight = hidden_states.shape
batch, channel, height, width = hidden_states.shape
residual = hidden_states

hidden_states = self.norm(hidden_states)
if not self.use_linear_projection:
hidden_states = self.proj_in(hidden_states)
inner_dim = hidden_states.shape[1]
hidden_states = hidden_states.permute(0, 2, 3, 1).reshape(batch, height * weight, inner_dim)
hidden_states = hidden_states.permute(0, 2, 3, 1).reshape(batch, height * width, inner_dim)
else:
inner_dim = hidden_states.shape[1]
hidden_states = hidden_states.permute(0, 2, 3, 1).reshape(batch, height * weight, inner_dim)
hidden_states = hidden_states.permute(0, 2, 3, 1).reshape(batch, height * width, inner_dim)
hidden_states = self.proj_in(hidden_states)
elif self.is_input_vectorized:
hidden_states = self.latent_image_embedding(hidden_states)
Expand All @@ -231,15 +231,11 @@ def forward(
# 3. Output
if self.is_input_continuous:
if not self.use_linear_projection:
hidden_states = (
hidden_states.reshape(batch, height, weight, inner_dim).permute(0, 3, 1, 2).contiguous()
)
hidden_states = hidden_states.reshape(batch, height, width, inner_dim).permute(0, 3, 1, 2).contiguous()
hidden_states = self.proj_out(hidden_states)
else:
hidden_states = self.proj_out(hidden_states)
hidden_states = (
hidden_states.reshape(batch, height, weight, inner_dim).permute(0, 3, 1, 2).contiguous()
)
hidden_states = hidden_states.reshape(batch, height, width, inner_dim).permute(0, 3, 1, 2).contiguous()

output = hidden_states + residual
elif self.is_input_vectorized:
Expand Down