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Remove Redundant Variables from Encoder and Decoder #5569

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merged 22 commits into from
Nov 1, 2023
Merged

Remove Redundant Variables from Encoder and Decoder #5569

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8425cd4
I added a new doc string to the class. This is more flexible to under…
hi-sushanta Oct 5, 2023
8a0e77d
Merge branch 'main' into doc_string
hi-sushanta Oct 5, 2023
cf3a816
Merge branch 'main' into doc_string
hi-sushanta Oct 5, 2023
a0cd96f
Merge branch 'main' into doc_string
hi-sushanta Oct 7, 2023
746a8e8
Update src/diffusers/models/unet_2d_blocks.py
hi-sushanta Oct 7, 2023
6e56886
Update src/diffusers/models/unet_2d_blocks.py
hi-sushanta Oct 7, 2023
627fd9f
Update unet_2d_blocks.py
hi-sushanta Oct 7, 2023
ae4f7f2
Update unet_2d_blocks.py
hi-sushanta Oct 8, 2023
f0bea43
Update unet_2d_blocks.py
hi-sushanta Oct 8, 2023
872a4a5
Merge branch 'main' into doc_string
hi-sushanta Oct 8, 2023
3546f6d
I run the black command to reformat style in the code
hi-sushanta Oct 9, 2023
12534f4
Merge branch 'main' into doc_string
hi-sushanta Oct 9, 2023
48afb4b
Merge branch 'main' into doc_string
hi-sushanta Oct 10, 2023
0bb06b6
Merge pull request #1 from hi-sushanta/doc_string
hi-sushanta Oct 11, 2023
01a9fc9
Update unet_2d_blocks.py
hi-sushanta Oct 13, 2023
04e6efb
Merge branch 'huggingface:main' into main
hi-sushanta Oct 13, 2023
d695c4a
Merge branch 'huggingface:main' into main
hi-sushanta Oct 19, 2023
27d8002
Merge branch 'huggingface:main' into main
hi-sushanta Oct 24, 2023
55001e3
Merge branch 'huggingface:main' into main
hi-sushanta Oct 29, 2023
57d534a
I removed the dummy variable defined in both the encoder and decoder.
hi-sushanta Oct 29, 2023
1fdcd40
Now, I run black package to reformat my file
hi-sushanta Oct 29, 2023
e8fa50c
Merge branch 'main' into vae_modify
DN6 Nov 1, 2023
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10 changes: 6 additions & 4 deletions src/diffusers/models/vae.py
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Original file line number Diff line number Diff line change
Expand Up @@ -130,9 +130,9 @@ def __init__(

self.gradient_checkpointing = False

def forward(self, x: torch.FloatTensor) -> torch.FloatTensor:
def forward(self, sample: torch.FloatTensor) -> torch.FloatTensor:
r"""The forward method of the `Encoder` class."""
sample = x

sample = self.conv_in(sample)

if self.training and self.gradient_checkpointing:
Expand Down Expand Up @@ -273,9 +273,11 @@ def __init__(

self.gradient_checkpointing = False

def forward(self, z: torch.FloatTensor, latent_embeds: Optional[torch.FloatTensor] = None) -> torch.FloatTensor:
def forward(
self, sample: torch.FloatTensor, latent_embeds: Optional[torch.FloatTensor] = None
) -> torch.FloatTensor:
r"""The forward method of the `Decoder` class."""
sample = z

sample = self.conv_in(sample)

upscale_dtype = next(iter(self.up_blocks.parameters())).dtype
Expand Down
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