imaginAIry/imaginairy/modules/sgm/diffusionmodules/wrappers.py
Bryce 316114e660 docs: add docstrings
Wrote an openai script and custom prompt to generate them.
2023-12-15 14:32:01 -08:00

37 lines
1.1 KiB
Python

"""Wrappers for diffusion model integration"""
import torch
import torch.nn as nn
from packaging import version
OPENAIUNETWRAPPER = "sgm.modules.diffusionmodules.wrappers.OpenAIWrapper"
class IdentityWrapper(nn.Module):
def __init__(self, diffusion_model, compile_model: bool = False):
super().__init__()
torch_compile = (
torch.compile
if (version.parse(torch.__version__) >= version.parse("2.0.0"))
and compile_model
else lambda x: x
)
self.diffusion_model = torch_compile(diffusion_model)
def forward(self, *args, **kwargs):
return self.diffusion_model(*args, **kwargs)
class OpenAIWrapper(IdentityWrapper):
def forward(
self, x: torch.Tensor, t: torch.Tensor, c: dict, **kwargs
) -> torch.Tensor:
x = torch.cat((x, c.get("concat", torch.Tensor([]).type_as(x))), dim=1)
return self.diffusion_model(
x,
timesteps=t,
context=c.get("crossattn", None),
y=c.get("vector", None),
**kwargs,
)