innerpeace-wu / reading_comprehension-cs224n Goto Github PK

C:\Users\metrics4>python squad_preprocess_raj.py
File "squad_preprocess_raj.py", line 221
maybe_download(squad_base_url, train_filename, download_prefix, 30288272L)
^
SyntaxError: invalid syntax

C:\Users\metrics4>python squad_preprocess_raj.py
File "squad_preprocess_raj.py", line 221
maybe_download(squad_base_url, train_filename, download_prefix, 30288272L)
^
SyntaxError: invalid syntax

C:\Users\metrics4>python train.py
Traceback (most recent call last):
File "C:\Users\metrics4\AppData\Local\Programs\Python\Python36\lib\site-packag
es\tensorflow\python\platform\self_check.py", line 62, in preload_check
ctypes.WinDLL(build_info.nvcuda_dll_name)
File "C:\Users\metrics4\AppData\Local\Programs\Python\Python36\lib\ctypes_in
it_.py", line 348, in init
self._handle = _dlopen(self._name, mode)
OSError: [WinError 126] The specified module could not be found

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train.py", line 12, in
import tensorflow as tf
File "C:\Users\metrics4\AppData\Local\Programs\Python\Python36\lib\site-packag
es\tensorflow_init_.py", line 22, in
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-im
port
File "C:\Users\metrics4\AppData\Local\Programs\Python\Python36\lib\site-packag
es\tensorflow\python_init_.py", line 49, in
from tensorflow.python import pywrap_tensorflow
File "C:\Users\metrics4\AppData\Local\Programs\Python\Python36\lib\site-packag
es\tensorflow\python\pywrap_tensorflow.py", line 30, in
self_check.preload_check()
File "C:\Users\metrics4\AppData\Local\Programs\Python\Python36\lib\site-packag
es\tensorflow\python\platform\self_check.py", line 70, in preload_check
% build_info.nvcuda_dll_name)
ImportError: Could not find 'nvcuda.dll'. TensorFlow requires that this DLL be i
nstalled in a directory that is named in your %PATH% environment variable. Typic
ally it is installed in 'C:\Windows\System32'. If it is not present, ensure that
you have a CUDA-capable GPU with the correct driver installed.