偶然的一次機會幫別人調程式，發現DCGAN在1080ti上佔用視訊記憶體只有600M左右，我想是不是可以筆記本上跑一下，本著玩一玩的心態，跑了一下，雖然很慢大約30s左右一張圖片，但是可以當做練手的。先貼一下古董筆記本cpu。

因為之前跑過一些python程式，opencv，svm，爬蟲啥的，電腦上有python2.7和python3.6。DCGAN在python2.7和python3.6是都可以跑通的。

cpu版本的tensorflow安裝

使用的是原生pip安裝，官網寫的很清楚，window下只支援python3.5.x 64位和python3.6.x 64位，python3附帶有pip3軟體包管理器，可以使用此程式安裝cpu版本的tensorflow。

輸入以下命令：

C:\> pip3 install --upgrade tensorflow

驗證安裝

可以從shell中呼叫python，如下所示：

$ python

在 Python 互動式 shell 中輸入以下幾行簡短的程式程式碼：

>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
>>> print(sess.run(hello))

Hello, TensorFlow!

依賴庫配置：

輸入命令

pip3 install scipy
.............
pip3 install scikit-image

我只配置了兩個依賴庫scipy和scikit-image。

下載好後，cmd需要進入程式所在目錄。

首先下載資料集到 dcgan-master/data/celebA:

$ python download.py celebA		[202599 face images]

接下來訓練gan

$ python main.py

可能報錯：

$ python main.py 
/home/ly/anaconda3/envs/learning/lib/python3.6/site-packages/h5py/__init__.py:36: 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
Traceback (most recent call last):
  File "/home/ly/anaconda3/envs/learning/lib/python3.6/site-packages/absl/flags/_flag.py", line 166, in _parse
    return self.parser.parse(argument)
  File "/home/ly/anaconda3/envs/learning/lib/python3.6/site-packages/absl/flags/_argument_parser.py", line 152, in parse
    val = self.convert(argument)
  File "/home/ly/anaconda3/envs/learning/lib/python3.6/site-packages/absl/flags/_argument_parser.py", line 268, in convert
    type(argument)))
TypeError: Expect argument to be a string or int, found <class 'float'>

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "main.py", line 23, in <module>
    flags.DEFINE_integer("train_size", np.inf, "The size of train images [np.inf]")
  File "/home/ly/anaconda3/envs/learning/lib/python3.6/site-packages/tensorflow/python/platform/flags.py", line 58, in wrapper
    return original_function(*args, **kwargs)
  File "/home/ly/anaconda3/envs/learning/lib/python3.6/site-packages/absl/flags/_defines.py", line 315, in DEFINE_integer
    DEFINE(parser, name, default, help, flag_values, serializer, **args)
  File "/home/ly/anaconda3/envs/learning/lib/python3.6/site-packages/absl/flags/_defines.py", line 81, in DEFINE
    DEFINE_flag(_flag.Flag(parser, serializer, name, default, help, **args),
  File "/home/ly/anaconda3/envs/learning/lib/python3.6/site-packages/absl/flags/_flag.py", line 107, in __init__
    self._set_default(default)
  File "/home/ly/anaconda3/envs/learning/lib/python3.6/site-packages/absl/flags/_flag.py", line 196, in _set_default
    self.default = self._parse(value)
  File "/home/ly/anaconda3/envs/learning/lib/python3.6/site-packages/absl/flags/_flag.py", line 169, in _parse
    'flag --%s=%s: %s' % (self.name, argument, e))
absl.flags._exceptions.IllegalFlagValueError: flag --train_size=inf: Expect argument to be a string or int, found <class 'float'>
 

在 main.py中的第22行，把

flags.DEFINE_integer("train_size", np.inf, "The size of train images [np.inf]")

改成

flags.DEFINE_float("train_size", np.inf, "The size of train images [np.inf]")