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libgomp: Thread creation failed: Resource temporarily unavailable
What is your question?
使用多次调用同一个模型报错,首次调用generate并不会报错,后2次或者3次就会报错
libgomp: Thread creation failed: Resource temporarily unavailable
libgomp:
libgomp:
libgomp: Thread creation failed: Resource temporarily unavailableThread creation failed: Resource temporarily unavailableThread creation failed: Resource temporarily unavailable
libgomp:
libgomp: Thread creation failed: Resource temporarily unavailableThread creation failed: Resource temporarily unavailable
libgomp:
Thread creation failed: Resource temporarily unavailable
libgomp: Segmentation fault (core dumped)
Code
def worker_process():
model= AutoModel(model="paraformer-zh", vad_model="fsmn-vad", punc_model="ct-punc", spk_model="cam++")
wav_files = glob.glob('data/*/*/*.wav')
for wav_file in wav_files:
print('processing ',wav_file)
output_path =f'{wav_file[:-4]}.json'
start_time = time.time()
ans = model.generate(input=wav_file,batch_size_s=300,hotword='', )
os.system(f'rm "{wav_file}"')
end_time = time.time()
with open(output_path, 'w') as f:
json.dump(ans, f, ensure_ascii=False)
if __name__ == '__main__':
worker_process()
What's your environment?
OS: CentOS Linux release 7.9.2009 FunASR Version: 1.0.27 ModelScope Version: 1.14.0 PyTorch Version: 2.1.2+cu118 How you installed funasr: pip Python version: 3.8.19 GPU: v100 CUDA/cuDNN version: 11.4 cpu
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 64
On-line CPU(s) list: 0-63
Thread(s) per core: 2
Core(s) per socket: 32
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 85
Model name: Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz
Stepping: 4
CPU MHz: 2394.374
BogoMIPS: 4788.74
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 32K
L1i cache: 32K
L2 cache: 1024K
L3 cache: 28160K
NUMA node0 CPU(s): 0-63