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使用'with Pool()作为p`进行错误处理

librosa pool multiprocessing error-handling python

rocksNwaves · 技术社区 · 4 年前

pool :

with Pool(os.cpu_count() - 1) as p:
    N = len(fpaths)
    p.starmap(resample, zip(fpaths, new_paths, [sr] * N, ['WAV'] * N, [manifest] * N))

multiprocessing.pool.RemoteTraceback: 
"""
Traceback (most recent call last):
  File "/opt/conda/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/opt/conda/lib/python3.7/multiprocessing/pool.py", line 47, in starmapstar
    return list(itertools.starmap(args[0], args[1]))
  File "/home/jupyter/jn-kaggle/birdsong/who-said-what/wsw/preprocessing.py", line 35, in resample
    audio, sr = librosa.load(old_path, sr=sr)
  File "/opt/conda/lib/python3.7/site-packages/librosa/core/audio.py", line 172, in load
    y = resample(y, sr_native, sr, res_type=res_type)
  File "/opt/conda/lib/python3.7/site-packages/librosa/core/audio.py", line 553, in resample
    ratio = float(target_sr) / orig_sr
ZeroDivisionError: float division by zero
"""

我想处理这个错误,但是,我所尝试的似乎不起作用:

def resample(old_path, new_path, sr, ext='WAV', manifest=None):
    try:
        with warnings.catch_warnings():
            warnings.simplefilter("ignore", UserWarning)
            print(f'Loading {old_path}',)
            audio, sr = librosa.load(old_path, sr=sr)
    except ZeroDivisionError:
        audio, sr = librosa.load(old_path, sr=None)
        print(f'Error loading file at {old_path}. file=sys.stderr)

我知道零除法误差是由 librosa.load()

0 回复 | 直到 4 年前

Mike67 4 年前

这不是最终的答案,但我不想在评论中挤出太多代码:

把这个例外排除在外。我想确定是否调用了except块。

def resample(old_path, new_path, sr, ext='WAV', manifest=None):
    try:
        print("Start Resample: ", old_path)
        with warnings.catch_warnings():
            warnings.simplefilter("ignore", UserWarning)
            print(f'Loading {old_path}',)
            audio, sr = librosa.load(old_path, sr=sr) # maybe error here
        print("Done Resample: ", old_path)
    except Exception as ex:  # any exception
        # audio, sr = librosa.load(old_path, sr=None) # remove for now
        print('Error: ', ex)

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