eventually video tokenizer may need to be trained on single frames

This commit is contained in:
lucidrains 2025-11-09 10:11:56 -08:00
parent 0c4224da18
commit ef3a5552e7
2 changed files with 3 additions and 3 deletions

View File

@ -1736,7 +1736,7 @@ class VideoTokenizer(Module):
self.encoder_add_decor_aux_loss = encoder_add_decor_aux_loss
self.decorr_aux_loss_weight = decor_auxx_loss_weight
self.decorr_loss = DecorrelationLoss(decorr_sample_frac) if encoder_add_decor_aux_loss else None
self.decorr_loss = DecorrelationLoss(decorr_sample_frac, soft_validate_num_sampled = True) if encoder_add_decor_aux_loss else None
@property
def device(self):

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@ -1,6 +1,6 @@
[project]
name = "dreamer4"
version = "0.1.6"
version = "0.1.7"
description = "Dreamer 4"
authors = [
{ name = "Phil Wang", email = "lucidrains@gmail.com" }
@ -37,7 +37,7 @@ dependencies = [
"torch>=2.4",
"torchvision",
"x-mlps-pytorch>=0.0.29",
"vit-pytorch>=1.15.2"
"vit-pytorch>=1.15.3"
]
[project.urls]