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Update prepare_dataset.py #41

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6 changes: 3 additions & 3 deletions cosmos1/models/diffusion/nemo/post_training/prepare_dataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -108,7 +108,7 @@ def main(args):
vae = init_video_tokenizer(args.tokenizer_dir)

# Constants
t5_embeding_max_length = 512
t5_embedding_max_length = 512
chunk_duration = vae.video_vae.pixel_chunk_duration # Frames per chunk
cnt = 0 # File index

Expand Down Expand Up @@ -153,9 +153,9 @@ def main(args):
out = encode_for_batch(tokenizer, text_encoder, [args.prompt])[0]
encoded_text = torch.tensor(out, dtype=torch.bfloat16)

# Pad T5 embedding to t5_embeding_max_length
# Pad T5 embedding to t5_embedding_max_length
L, C_ = encoded_text.shape
t5_embed = torch.zeros(1, t5_embeding_max_length, C_, dtype=torch.bfloat16)
t5_embed = torch.zeros(1, t5_embedding_max_length, C_, dtype=torch.bfloat16)
t5_embed[0, :L] = encoded_text

# Save data to folder
Expand Down