eschmidbauer

from collections import OrderedDict
import torch

checkpoint_path = "multilingual_base_bs100x4.ckpt"
checkpoint = torch.load(checkpoint_path, map_location=torch.device('cpu'))
modified_checkpoint = OrderedDict()
modified_checkpoint['state_dict'] = OrderedDict()
state_dict = checkpoint['state_dict'].copy()
for k, v in state_dict.items():
    k = f'net.{k}'

eschmidbauer

import multiprocessing
from concurrent.futures import ProcessPoolExecutor, as_completed
# !pip install -q torchaudio
SAMPLING_RATE = 16000
import torch
from pprint import pprint

torch.set_num_threads(1)
NUM_PROCESS=4 # set to the number of CPU cores in the machine

eschmidbauer

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