Pierre Chapuis 471ef91d1c make __getattr__ on Module return object, not Any ... PyTorch chose to make it Any because they expect its users' code to be "highly dynamic": https://github.com/pytorch/pytorch/pull/104321 It is not the case for us, in Refiners having untyped code goes contrary to one of our core principles. Note that there is currently an open PR in PyTorch to return `Module | Tensor`, but in practice this is not always correct either: https://github.com/pytorch/pytorch/pull/115074 I also moved Residuals-related code from SD1 to latent_diffusion because SDXL should not depend on SD1.		2024-02-06 11:32:18 +01:00
..
adapters	make __getattr__ on Module return object, not Any	2024-02-06 11:32:18 +01:00
e2e	clip text, lda encode batch inputs	2024-02-01 17:05:28 +01:00
fluxion	make __getattr__ on Module return object, not Any	2024-02-06 11:32:18 +01:00
foundationals	make __getattr__ on Module return object, not Any	2024-02-06 11:32:18 +01:00
training_utils	add support for pytorch 2.2 (2.1 is still supported)	2024-01-31 15:03:06 +01:00
__init__.py	initial commit	2023-08-04 15:28:41 +02:00
conftest.py	run lint rules using latest isort settings	2023-12-11 11:58:43 +01:00
utils.py	run lint rules using latest isort settings	2023-12-11 11:58:43 +01:00