提交 327f2c9f 编写于 作者: J Jiabin Yang 提交者: GitHub

Revert "latest install doc (#12894)"

This reverts commit cb92d4e2.
上级 cb92d4e2
......@@ -9,7 +9,7 @@
.. toctree::
:maxdepth: 2
install/install_doc.md
install/install_doc.rst
quick_start/index.rst
basics/index.rst
basics/learning_materials.md
......@@ -17,7 +17,6 @@ import hashlib
import os
import errno
import shutil
import six
import sys
import importlib
import paddle.dataset
......@@ -94,8 +93,6 @@ def download(url, module_name, md5sum, save_name=None):
dl = 0
total_length = int(total_length)
for data in r.iter_content(chunk_size=4096):
if six.PY2:
data = six.b(data)
dl += len(data)
f.write(data)
done = int(50 * dl / total_length)
......
......@@ -28,12 +28,11 @@ Graphics and Image Processing (2008)
http://www.robots.ox.ac.uk/~vgg/publications/papers/nilsback08.{pdf,ps.gz}.
"""
import cPickle
import itertools
import functools
from common import download
import tarfile
import six
from six.moves import cPickle as pickle
import scipy.io as scio
from paddle.dataset.image import *
from paddle.reader import *
......@@ -42,10 +41,10 @@ import numpy as np
from multiprocessing import cpu_count
__all__ = ['train', 'test', 'valid']
DATA_URL = 'http://paddlemodels.cdn.bcebos.com/flowers/102flowers.tgz'
LABEL_URL = 'http://paddlemodels.cdn.bcebos.com/flowers/imagelabels.mat'
SETID_URL = 'http://paddlemodels.cdn.bcebos.com/flowers/setid.mat'
DATA_MD5 = '52808999861908f626f3c1f4e79d11fa'
DATA_URL = 'http://www.robots.ox.ac.uk/~vgg/data/flowers/102/102flowers.tgz'
LABEL_URL = 'http://www.robots.ox.ac.uk/~vgg/data/flowers/102/imagelabels.mat'
SETID_URL = 'http://www.robots.ox.ac.uk/~vgg/data/flowers/102/setid.mat'
DATA_MD5 = '33bfc11892f1e405ca193ae9a9f2a118'
LABEL_MD5 = 'e0620be6f572b9609742df49c70aed4d'
SETID_MD5 = 'a5357ecc9cb78c4bef273ce3793fc85c'
# In official 'readme', tstid is the flag of test data
......@@ -112,11 +111,8 @@ def reader_creator(data_file,
for file in open(file_list):
file = file.strip()
batch = None
with open(file, 'rb') as f:
if six.PY2:
batch = pickle.load(f)
else:
batch = pickle.load(f, encoding='bytes')
with open(file, 'r') as f:
batch = cPickle.load(f)
data = batch['data']
labels = batch['label']
for sample, label in itertools.izip(data, batch['label']):
......
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