运行python cifar10.py时出现以下错误：
argparse.ArgumentError: argument --batch_size: conflicting option string(s): --batch_size
这是运行的完整输出，包括完整的跟踪：
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 <module>
"""Number of images to process in a batch.""")
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/default/_flags.py", line 86, in DEFINE_integer
_define_helper(flag_name, default_value, docstring, int)
File "/usr/local/lib/python2.7/dist-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
此错误似乎来自cifar10.py中的以下行：tf.app.flags.DEFINE_integer('batch_size', 128, """Number of images to process in a batch.""")
似乎argparse库认为我已经定义了选项字符串--batch_size，但我没有。
[Stack：Amazon g2.2xlarge spot instance，Python 2.7.6]
答案 0 :(得分：2)
在cifr10.py文件中：
import tensorflow as tf
from tensorflow.models.image.cifar10 import cifar10_input
FLAGS = tf.app.flags.FLAGS
# Basic model parameters.
tf.app.flags.DEFINE_integer('batch_size', 128,
"""Number of images to process in a batch.""")
....
错误是由最后一个语句产生的，该语句在_flags.py文件中定义了具有该名称的argparse参数。显然，此时tf.app已经有了这样的参数定义。
因此，我们需要进一步回顾import tensorflow as tf以了解tf.app是如何创建的？
Amazon g2.2xlarge是什么？那也可以定义batch_size吗？
看起来tf.app来自
tensorflow/python/platform/app.py
反过来从
这样的东西中获取它from tensorflow.python.platform.google._app import *
因此，如果您在某个本身接受google参数的amazon或batch_size平台上运行此操作，则可能会产生此错误。
关于cifr10和batch_size参数的另一个问题：
How to use "FLAGS" (command line switches) in TensorFlow?
同样的错误：
Tensorflow ArgumentError Running CIFAR-10 example
答案是使用cifar10_train.py，cifar10_eval.py，而不是cifar10.py。