win7 环境报错
-
File
“C:/DCGAN/main.py”
, line
63
,
in
main -
sample_dir=FLAGS.sample_dir)
-
File
“C:\DCGAN\model.py”
, line
74
,
in
__init__ -
self.data_X, self.data_y = self.load_mnist()
-
File
“C:\DCGAN\model.py”
, line
461
,
in
load_mnist -
trX = loaded[
16
:].reshape((
60000
,
28
,
28
,
1
)).astype(np.float) -
ValueError: cannot reshape array of size
9912406
into shape (
60000
,
28
,
28
,
1
)
linux（Ubuntu）环境报错
-
File
“main.py”
, line
63
,
in
main -
sample_dir=FLAGS.sample_dir)
-
File
“/root/DCGAN-tensorflow-master/model.py”
, line
74
,
in
__init__ -
self.data_X, self.data_y = self.load_mnist()
-
File
“/root/DCGAN-tensorflow-master/model.py”
, line
459
,
in
load_mnist -
trX = loaded[
16
:].reshape((
60000
,
28
,
28
,
1
)).astype(np.float) -
ValueError: cannot reshape array of size
9912406
into shape (
60000
,
28
,
28
,
1
)
原因
数据集解压方式错误，MNIST文件下载后是.gz格式，需要在linux环境下解压（win7环境用rar解压，报同样错误）
t10k-images-idx3-ubyte.gz
t10k-labels-idx1-ubyte.gz
train-images-idx3-ubyte.gz
train-labels-idx1-ubyte.gz
解压后的文件列表：
t10k-images-idx3-ubyte
t10k-labels-idx1-ubyte
train-images-idx3-ubyte
train-labels-idx1-ubyte
linux（Ubuntu）环境gz解压指令：
gunzip –c train-labels-idx1-ubyte.gz > train-labels-idx1-ubyte
gunzip –c train-images-idx3-ubyte.gz > train-images-idx3-ubyte
gunzip –c t10k-images-idx3-ubyte.gz > t10k-images-idx3-ubyte
gunzip –c t10k-labels-idx1-ubyte.gz > t10k-labels-idx1-ubyte