From fd01ba910efb764b4521254cded2530b6c31cbd4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?C=C3=A9dric=20Deltheil?= Date: Tue, 30 Jan 2024 08:48:46 +0000 Subject: [PATCH] fix minor typos in code and docs --- src/refiners/fluxion/layers/chain.py | 2 +- src/refiners/foundationals/latent_diffusion/image_prompt.py | 6 +++--- src/refiners/training_utils/config.py | 2 +- src/refiners/training_utils/trainer.py | 4 ++-- 4 files changed, 7 insertions(+), 7 deletions(-) diff --git a/src/refiners/fluxion/layers/chain.py b/src/refiners/fluxion/layers/chain.py index 497cac9..2543e9b 100644 --- a/src/refiners/fluxion/layers/chain.py +++ b/src/refiners/fluxion/layers/chain.py @@ -215,7 +215,7 @@ class Chain(ContextModule): @staticmethod def _pretty_print_args(*args: Any) -> str: """ - Flatten nested tuples and print tensors with their shape and other informations. + Flatten nested tuples and print tensors with their shape and other information. """ def _flatten_tuple(t: Tensor | tuple[Any, ...], /) -> list[Any]: diff --git a/src/refiners/foundationals/latent_diffusion/image_prompt.py b/src/refiners/foundationals/latent_diffusion/image_prompt.py index bd1c8d4..3738698 100644 --- a/src/refiners/foundationals/latent_diffusion/image_prompt.py +++ b/src/refiners/foundationals/latent_diffusion/image_prompt.py @@ -447,7 +447,7 @@ class IPAdapter(Generic[T], fl.Chain, Adapter[T]): assert isinstance(encoder_clone[-3], fl.Lambda) # pooling (classif token) for _ in range(3): encoder_clone.pop() - transfomer_layers = encoder_clone[-1] - assert isinstance(transfomer_layers, fl.Chain) and len(transfomer_layers) == 32 - transfomer_layers.pop() + transformer_layers = encoder_clone[-1] + assert isinstance(transformer_layers, fl.Chain) and len(transformer_layers) == 32 + transformer_layers.pop() return encoder_clone diff --git a/src/refiners/training_utils/config.py b/src/refiners/training_utils/config.py index 6b61c1a..8af1ddf 100644 --- a/src/refiners/training_utils/config.py +++ b/src/refiners/training_utils/config.py @@ -178,7 +178,7 @@ class ModelConfig(BaseModel): class GyroDropoutConfig(BaseModel): total_subnetworks: int = 512 - concurent_subnetworks: int = 64 + concurrent_subnetworks: int = 64 iters_per_epoch: int = 512 num_features_threshold: float = 5e5 diff --git a/src/refiners/training_utils/trainer.py b/src/refiners/training_utils/trainer.py index 9c2ee17..021a168 100644 --- a/src/refiners/training_utils/trainer.py +++ b/src/refiners/training_utils/trainer.py @@ -213,7 +213,7 @@ class TrainingClock: return int(time.time() - self.start_time) @cached_property - def evalution_interval_steps(self) -> int: + def evaluation_interval_steps(self) -> int: return self.convert_time_unit_to_steps( number=self.evaluation_interval["number"], unit=self.evaluation_interval["unit"] ) @@ -244,7 +244,7 @@ class TrainingClock: @property def is_evaluation_step(self) -> bool: - return self.step % self.evalution_interval_steps == 0 + return self.step % self.evaluation_interval_steps == 0 @property def is_checkpointing_step(self) -> bool: