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Sorry if i'm mistaken, but in the line 380 of the file denoising_diffusion_pytorch.py, where the final ResNetBlock is defined for the UNet : self.final_res_block = block_klass(dim * 2, dim, time_emb_dim = time_dim)
Shouldn't the input channels dimension be init_dim * 2 instead of dim * 2 ?
The text was updated successfully, but these errors were encountered:
Hello @lucidrains
Sorry if i'm mistaken, but in the line 380 of the file denoising_diffusion_pytorch.py, where the final ResNetBlock is defined for the UNet :
self.final_res_block = block_klass(dim * 2, dim, time_emb_dim = time_dim)
Shouldn't the input channels dimension be init_dim * 2 instead of dim * 2 ?
The text was updated successfully, but these errors were encountered: