o }oi @s<ddlZddlZddlmZmZmZGdddejjZdS)N)T5ConfigT5EncoderModel T5Tokenizercs(eZdZdfdd Zd ddZZS) T5EncoderNcst||_d|_tjd|jd|_|dur"tjddd|_dSt d|t j |d}t j t j td }tj|t|dd |_dS) z Initialize the T5 Encoder. :param max_seq_len: Maximum token length, defaults to 512 :param encoder_path: Optional if loaded T5 on the disk, defaults to None rzt5-11b)model_max_lengthNT)low_cpu_mem_usagezLoad T5 encoder from zt5xxl-encoder.binzt5encoder.json)configr)super__init__ max_seq_len model_seq_lenrfrom_pretrained tokenizerrmodelprintospathjoindirname__file__rfrom_json_file)selfr encoder_path"hard_coded_encoder_weight_location"hard_coded_encoder_config_location __class__p/home/ubuntu/.local/lib/python3.10/site-packages/nemo/collections/multimodal/modules/imagen/encoder/t5encoder.pyr s  zT5Encoder.__init__cudac Cs|jj|dd|jdd}|jj|d}|jj|d}t|j||d}|j }Wdn1s5wY|ddd|j f}|ddd|j f}t |j dD]}||} d||| d<qW||fS) z: Encode a batch of text to T5 embeddings. pt max_lengthT)return_tensorspaddingr" truncation)device) input_idsattention_maskNr)rbatch_encode_plusr r'tor(torchno_gradrlast_hidden_statedetachr rangeshapesumitem) r text_batchr&encodedr' attn_maskoutput encoded_textbnum nvalid_elemrrrencode/s   zT5Encoder.encode)rN)r )__name__ __module__ __qualname__r r: __classcell__rrrrrsr) rr+ transformersrrrnnModulerrrrrs