我正在尝试运行Tensorflow的CIFAR-10示例.但是在执行时python cifar10.py
我收到下面附带的错误.
我使用pip安装了Tensorflow软件包的0.6.0版本.该框架在其他模型上运行良好,包括MNIST教程和一些自行开发的网络.有人对这个问题的根源有所了解吗?你认为我应该在github上打开一个问题吗?
I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA library libcublas.so.7.0 locally I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA library libcudnn.so.6.5 locally I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA library libcufft.so.7.0 locally I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA library libcuda.so locally I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA library libcurand.so.7.0 locally Traceback (most recent call last): File "cifar10.py", line 54, in"""Number of images to process in a batch.""") File "/disk/no_backup/teichman/tensorflow/gpu_mode/local/lib/python2.7/site-packages/tensorflow/python/platform/default/_flags.py", line 86, in DEFINE_integer _define_helper(flag_name, default_value, docstring, int) File "/disk/no_backup/teichman/tensorflow/gpu_mode/local/lib/python2.7/site-packages/tensorflow/python/platform/default/_flags.py", line 60, in _define_helper type=flagtype) File "/usr/lib/python2.7/argparse.py", line 1297, in add_argument return self._add_action(action) File "/usr/lib/python2.7/argparse.py", line 1671, in _add_action self._optionals._add_action(action) File "/usr/lib/python2.7/argparse.py", line 1498, in _add_action action = super(_ArgumentGroup, self)._add_action(action) File "/usr/lib/python2.7/argparse.py", line 1311, in _add_action self._check_conflict(action) File "/usr/lib/python2.7/argparse.py", line 1449, in _check_conflict conflict_handler(action, confl_optionals) File "/usr/lib/python2.7/argparse.py", line 1456, in _handle_conflict_error raise ArgumentError(action, message % conflict_string) argparse.ArgumentError: argument --batch_size: conflicting option string(s): --batch_size
MarvMind.. 6
解决了这个问题.一个不应该python cifar10.py
直接执行,但应该运行python cifar10_train.py
或python cifar10_eval.py
代替.
解决了这个问题.一个不应该python cifar10.py
直接执行,但应该运行python cifar10_train.py
或python cifar10_eval.py
代替.