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fix typo (sinuosidal -> sinusoidal)

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This commit is contained in:
Pierre Chapuis 2024-01-19 14:24:32 +01:00
parent fde61757fb
commit d34e36797b
2 changed files with 5 additions and 5 deletions
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8
src/refiners/foundationals/latent_diffusion/range_adapter.py
View file

@ -24,23 +24,23 @@ def compute_sinusoidal_embedding(
class RangeEncoder(fl.Chain): class RangeEncoder(fl.Chain):
def __init__( def __init__(
self, self,
sinuosidal_embedding_dim: int, sinusoidal_embedding_dim: int,
embedding_dim: int, embedding_dim: int,
device: Device | str | None = None, device: Device | str | None = None,
dtype: DType | None = None, dtype: DType | None = None,
) -> None: ) -> None:
self.sinuosidal_embedding_dim = sinuosidal_embedding_dim self.sinusoidal_embedding_dim = sinusoidal_embedding_dim
self.embedding_dim = embedding_dim self.embedding_dim = embedding_dim
super().__init__( super().__init__(
fl.Lambda(self.compute_sinuosoidal_embedding), fl.Lambda(self.compute_sinuosoidal_embedding),
fl.Converter(set_device=False, set_dtype=True), fl.Converter(set_device=False, set_dtype=True),
fl.Linear(in_features=sinuosidal_embedding_dim, out_features=embedding_dim, device=device, dtype=dtype), fl.Linear(in_features=sinusoidal_embedding_dim, out_features=embedding_dim, device=device, dtype=dtype),
fl.SiLU(), fl.SiLU(),
fl.Linear(in_features=embedding_dim, out_features=embedding_dim, device=device, dtype=dtype), fl.Linear(in_features=embedding_dim, out_features=embedding_dim, device=device, dtype=dtype),
) )
def compute_sinuosoidal_embedding(self, x: Int[Tensor, "*batch 1"]) -> Float[Tensor, "*batch 1 embedding_dim"]: def compute_sinuosoidal_embedding(self, x: Int[Tensor, "*batch 1"]) -> Float[Tensor, "*batch 1 embedding_dim"]:
return compute_sinusoidal_embedding(x, embedding_dim=self.sinuosidal_embedding_dim) return compute_sinusoidal_embedding(x, embedding_dim=self.sinusoidal_embedding_dim)
class RangeAdapter2d(fl.Sum, Adapter[fl.Conv2d]): class RangeAdapter2d(fl.Sum, Adapter[fl.Conv2d]):

2
src/refiners/foundationals/latent_diffusion/stable_diffusion_xl/unet.py
View file

@ -61,7 +61,7 @@ class TimestepEncoder(fl.Passthrough):
fl.Chain( fl.Chain(
fl.UseContext(context="diffusion", key="timestep"), fl.UseContext(context="diffusion", key="timestep"),
RangeEncoder( RangeEncoder(
sinuosidal_embedding_dim=320, sinusoidal_embedding_dim=320,
embedding_dim=self.timestep_embedding_dim, embedding_dim=self.timestep_embedding_dim,
device=device, device=device,
dtype=dtype, dtype=dtype,