YOLOV5-6.1报错：OSError: [WinError 1455] 页面文件太小，无法完成操作。_yolo页面文件太小

[WinError 1455] 页面文件太小，无法完成操作。 Error loading "D:\Anaconda3\envs\py38torch_gpu\lib\site-packages\torch\lib\caffe2_module_test_dynamic.dll" or one of its dependencies.
OSError: [WinError 1455] 页面文件太小，无法完成操作。 Error loading "D:\Anaconda3\envs\py38torch_gpu\lib\site-packages\torch\lib\caffe2_module_test_dynamic.dll" or one of its dependencies.
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "D:\Anaconda3\envs\py38torch_gpu\lib\multiprocessing\spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "D:\Anaconda3\envs\py38torch_gpu\lib\multiprocessing\spawn.py", line 125, in _main
    prepare(preparation_data)
  File "D:\Anaconda3\envs\py38torch_gpu\lib\multiprocessing\spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\Anaconda3\envs\py38torch_gpu\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
  File "D:\Anaconda3\envs\py38torch_gpu\lib\runpy.py", line 265, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "D:\Anaconda3\envs\py38torch_gpu\lib\runpy.py", line 97, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "D:\Anaconda3\envs\py38torch_gpu\lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "E:\Python project\yolov5\YOLOV5-6.1\train.py", line 27, in <module>
    import torch
  File "D:\Anaconda3\envs\py38torch_gpu\lib\site-packages\torch\__init__.py", line 124, in <module>
    raise err

一、修改train.py文件中--workers的默认参数，设置为0

parser.add_argument('--workers', type=int, default=0, help='max dataloader workers (per RANK in DDP mode)')

二、将general.py文件中NUM_THREAD设置为1

 # NUM_THREADS = min(8, max(1, os.cpu_count() - 1)) # number of YOLOv5 multiprocessing threads

NUM_THREADS = 1

三、重设虚拟内存

基本上我的调试进行到这里就没有上面的报错了！！！