Update TensorFlow

2019-03-12 10:11发布

I'm working with Ubuntu 14.04 , I had a TensorFlow V0.10 but I want to update this version. if i do:

$ pip install --upgrade $TF_BINARY_URL

but it prints:

Exception:
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/pip/basecommand.py", line 122, in main
    status = self.run(options, args)
  File "/usr/lib/python2.7/dist-packages/pip/commands/install.py", line 278, in run
    requirement_set.prepare_files(finder, force_root_egg_info=self.bundle, bundle=self.bundle)
  File "/usr/lib/python2.7/dist-packages/pip/req.py", line 1198, in prepare_files
    do_download,
  File "/usr/lib/python2.7/dist-packages/pip/req.py", line 1376, in unpack_url
    self.session,
  File "/usr/lib/python2.7/dist-packages/pip/download.py", line 572, in unpack_http_url
    download_hash = _download_url(resp, link, temp_location)
  File "/usr/lib/python2.7/dist-packages/pip/download.py", line 433, in _download_url
    for chunk in resp_read(4096):
  File "/usr/lib/python2.7/dist-packages/pip/download.py", line 421, in resp_read
    chunk_size, decode_content=False):
  File "/usr/share/python-wheels/urllib3-1.7.1-py2.py3-none-any.whl/urllib3/response.py", line 225, in stream
    data = self.read(amt=amt, decode_content=decode_content)
  File "/usr/share/python-wheels/urllib3-1.7.1-py2.py3-none-any.whl/urllib3/response.py", line 174, in read
    data = self._fp.read(amt)
  File "/usr/lib/python2.7/httplib.py", line 573, in read
    s = self.fp.read(amt)
  File "/usr/lib/python2.7/socket.py", line 380, in read
    data = self._sock.recv(left)
  File "/usr/lib/python2.7/ssl.py", line 341, in recv
    return self.read(buflen)
  File "/usr/lib/python2.7/ssl.py", line 260, in read
    return self._sslobj.read(len)
SSLError: The read operation timed out

Storing debug log for failure in /home/brm17/.pip/pip.log

5条回答
淡お忘
2楼-- · 2019-03-12 11:01

This is official recommendation for upgrading Tensorflow.

To get TensorFlow 1.5, you can use the standard pip installation (or pip3 if you use python3)

$  pip install --ignore-installed --upgrade tensorflow
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手持菜刀,她持情操
3楼-- · 2019-03-12 11:04

For anaconda installation, first pick a channel which has the latest version of tensorflow binary. Usually, the latest versions are available at the channel conda-forge. Then simply do:

conda update -f -c conda-forge tensorflow

This will upgrade your existing tensorflow installation to the very latest version available. As of this writing, the latest version is 1.4.0-py36_0

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爱情/是我丢掉的垃圾
4楼-- · 2019-03-12 11:11

To upgrade any python package, use pip install <pkg_name> --upgrade.

So in your case it would be pip install tensorflow --upgrade. Just updated to 1.1.0

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Root(大扎)
5楼-- · 2019-03-12 11:12
(tensorflow)$ pip install --upgrade pip  # for Python 2.7
(tensorflow)$ pip3 install --upgrade pip # for Python 3.n

(tensorflow)$ pip install --upgrade tensorflow      # for Python 2.7
(tensorflow)$ pip3 install --upgrade tensorflow     # for Python 3.n
(tensorflow)$ pip install --upgrade tensorflow-gpu  # for Python 2.7 and GPU
(tensorflow)$ pip3 install --upgrade tensorflow-gpu # for Python 3.n and GPU

(tensorflow)$ pip install --upgrade tensorflow-gpu==1.4.1 # for a specific version

Details on install tensorflow.

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霸刀☆藐视天下
6楼-- · 2019-03-12 11:13

Before trying to update tensorflow try updating pip

pip install --upgrade pip

If you are upgrading from a previous installation of TensorFlow < 0.7.1, you should uninstall the previous TensorFlow and protobuf using,

pip uninstall tensorflow

to make sure you get a clean installation of the updated protobuf dependency.

Uninstall the TensorFlow on your system, and check out Download and Setup to reinstall again.

If you are using pip install, go check the available version over https://storage.googleapis.com/tensorflow, search keywords with linux/cpu/tensorflow to see the availabilities.

Then, set the path for download and execute in sudo.

$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0-py2-none-any.whl

$ sudo pip install --upgrade $TF_BINARY_URL

For more detail, follow this link in here

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