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import os
import logging
class HParams():
def __init__(self, **kwargs):
for k, v in kwargs.items():
if type(v) == dict:
v = HParams(**v)
self[k] = v
def keys(self):
return self.__dict__.keys()
def items(self):
return self.__dict__.items()
def values(self):
return self.__dict__.values()
def __len__(self):
return len(self.__dict__)
def __getitem__(self, key):
return getattr(self, key)
def __setitem__(self, key, value):
return setattr(self, key, value)
def __contains__(self, key):
return key in self.__dict__
def __repr__(self):
return self.__dict__.__repr__()
def load_checkpoint(checkpoint_path, model):
from torch import load
checkpoint_dict = load(checkpoint_path, map_location='cpu')
iteration = checkpoint_dict.get('iteration', None)
saved_state_dict = checkpoint_dict['model']
if hasattr(model, 'module'):
state_dict = model.module.state_dict()
else:
state_dict = model.state_dict()
new_state_dict = {}
for k, v in state_dict.items():
try:
new_state_dict[k] = saved_state_dict[k]
except:
logging.info(f"{k} is not in the checkpoint")
new_state_dict[k] = v
if hasattr(model, 'module'):
model.module.load_state_dict(new_state_dict)
else:
model.load_state_dict(new_state_dict)
if iteration:
logging.info(f"Loaded checkpoint '{checkpoint_path}' (iteration {iteration})")
else:
logging.info(f"Loaded checkpoint '{checkpoint_path}'")
return
def get_hparams_from_file(config_path):
from json import loads
with open(config_path, 'r', encoding='utf-8') as f:
data = f.read()
config = loads(data)
hparams = HParams(**config)
return hparams
def load_audio_to_torch(full_path, target_sampling_rate):
import librosa
from torch import FloatTensor
from numpy import float32
audio, sampling_rate = librosa.load(full_path, sr=target_sampling_rate, mono=True)
return FloatTensor(audio.astype(float32))
def clean_folder(folder_path):
for filename in os.listdir(folder_path):
file_path = os.path.join(folder_path, filename)
# 如果是文件，则删除文件。如果是文件夹则跳过。
if os.path.isfile(file_path):
os.remove(file_path)
def check_is_none(item) -> bool:
# none -> True, not none -> False
return item is None or (isinstance(item, str) and str(item).isspace()) or str(item) == ""
def save_audio(audio, path):
with open(path, "wb") as f:
f.write(audio)
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