| | |
| | | #!/usr/bin/env python3 |
| | | # -*- encoding: utf-8 -*- |
| | | # Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved. |
| | | # MIT License (https://opensource.org/licenses/MIT) |
| | | |
| | | import logging |
| | | from typing import Dict |
| | | from typing import List |
| | | from typing import Optional |
| | | from typing import Tuple |
| | | from typing import Union |
| | | import tempfile |
| | | import codecs |
| | | import requests |
| | | import re |
| | | import copy |
| | | import torch |
| | | import torch.nn as nn |
| | |
| | | meta_data["extract_feat"] = f"{time3 - time2:0.3f}" |
| | | meta_data["batch_data_time"] = speech_lengths.sum().item() * frontend.frame_shift * frontend.lfr_n / 1000 |
| | | |
| | | speech.to(device=kwargs["device"]), speech_lengths.to(device=kwargs["device"]) |
| | | speech = speech.to(device=kwargs["device"]) |
| | | speech_lengths = speech_lengths.to(device=kwargs["device"]) |
| | | |
| | | # Encoder |
| | | encoder_out, encoder_out_lens = self.encode(speech, speech_lengths) |