fix training with clip

This commit is contained in:
Phil Wang
2022-05-06 07:37:57 -07:00
parent 63029f7388
commit 878b555ef7
2 changed files with 2 additions and 2 deletions

View File

@@ -784,7 +784,7 @@ class DiffusionPrior(BaseGaussianDiffusion):
self.predict_x_start = predict_x_start
# @crowsonkb 's suggestion - https://github.com/lucidrains/DALLE2-pytorch/issues/60#issue-1226116132
self.image_embed_scale = default(image_embed_scale, image_embed_dim ** 0.5)
self.image_embed_scale = default(image_embed_scale, self.image_embed_dim ** 0.5)
# whether to force an l2norm, similar to clipping denoised, when sampling
self.sampling_clamp_l2norm = sampling_clamp_l2norm

View File

@@ -10,7 +10,7 @@ setup(
'dream = dalle2_pytorch.cli:dream'
],
},
version = '0.0.106',
version = '0.0.107',
license='MIT',
description = 'DALL-E 2',
author = 'Phil Wang',