Hello everyone, I'm not very familiar with Celery, so I'm seeking help. Currently, I'm working with NumPy using Celery, and during a loop where I'm loading .npy files with np.load, I'm encountering a "WorkerLostError." I've already tried memory mapping, and the .npy files are quite large (about 1500 x 3000). I've been continuously monitoring my local hardware, but there's no indication of overflow. Does anyone know how to resolve this issue?
Hello everyone, I'm not very familiar with Celery, so I'm seeking help. Currently, I'm working with NumPy using Celery, and during a loop where I'm loading .npy files with np.load, I'm encountering a "WorkerLostError." I've already tried memory mapping, and the .npy files are quite large (about 1500 x 3000). I've been continuously monitoring my local hardware, but there's no indication of overflow. Does anyone know how to resolve this issue?