cuda 8.0+cudnn 6.0+tensorflow1.4 以下(正常执行),1.5、1.6、1.7、1.8报错
C:\ProgramData\Anaconda3\lib\site-packages\h5py\__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future,it will be treated as `np.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_converters Using TensorFlow backend. Traceback (most recent call last): File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\platform\self_check.py",line 75,in preload_check ctypes.WinDLL(build_info.cudart_dll_name) File "C:\ProgramData\Anaconda3\lib\ctypes\__init__.py",line 348,in __init__ self._handle = _dlopen(self._name,mode) OSError: [WinError 126] 找不到指定的模块。 During handling of the above exception,another exception occurred: Traceback (most recent call last): File "D:/keras-master/examples/cifar10_cnn.py",line 8,in <module> import keras File "D:\keras-master\keras\__init__.py",line 3,in <module> from . import utils File "D:\keras-master\keras\utils\__init__.py",line 6,in <module> from . import conv_utils File "D:\keras-master\keras\utils\conv_utils.py",line 9,in <module> from .. import backend as K File "D:\keras-master\keras\backend\__init__.py",line 84,in <module> from .tensorflow_backend import * File "D:\keras-master\keras\backend\tensorflow_backend.py",line 5,in <module> import tensorflow as tf File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\__init__.py",line 24,in <module> from tensorflow.python import * File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\__init__.py",line 49,in <module> from tensorflow.python import pywrap_tensorflow File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py",line 30,in <module> self_check.preload_check() File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\platform\self_check.py",line 82,in preload_check % (build_info.cudart_dll_name,build_info.cuda_version_number)) ImportError: Could not find 'cudart64_90.dll'. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH% environment variable. Download and install CUDA 9.0 from this URL: https://developer.nvidia.com/cuda-toolkit