
<
source
>
(
sample: FloatTensor

)


Parameters 

sample (torch.FloatTensor of shape (batch_size x num_frames, num_channels, height, width)) —
Hidden states conditioned on encoder_hidden_states input.




PriorTransformer
	

class diffusers.PriorTransformer

<
source
>
(
num_attention_heads: int = 32
attention_head_dim: int = 64
num_layers: int = 20
embedding_dim: int = 768
num_embeddings = 77
additional_embeddings = 4
dropout: float = 0.0

)