This guide explains how to install TensorFlow on Windows.
Determine which TensorFlow to install
You must choose one of the following types of TensorFlow to install:
- TensorFlow with CPU support only. If your system does not have a NVIDIA® GPU, you must install this version. Note that this version of TensorFlow is typically much easier to install (typically, in 5 or 10 minutes), so even if you have an NVIDIA GPU, we recommend installing this version first.
- TensorFlow with GPU support. TensorFlow programs typically run significantly faster on a GPU than on a CPU. Therefore, if your system has a NVIDIA® GPU meeting the prerequisites shown below and you need to run performance-critical applications, you should ultimately install this version.
Requirements to run TensorFlow with GPU support
If you are installing TensorFlow with GPU support using one of the mechanismsdescribed in this guide, then the following NVIDIA software must beinstalled on your system:
- CUDA® Toolkit 8.0. For details, see NVIDIA's documentation Ensure that you append the relevant Cuda pathnames to the
%PATH%environment variable as described in the NVIDIA documentation. - The NVIDIA drivers associated with CUDA Toolkit 8.0.
- cuDNN v6.0. For details, see NVIDIA's documentation. Note that cuDNN is typically installed in a different location from the other CUDA DLLs. Ensure that you add the directory where you installed the cuDNN DLL to your
%PATH%environment variable. - GPU card with CUDA Compute Capability 3.0 or higher. See NVIDIA documentation for a list of supported GPU cards.
If you have a different version of one of the preceding packages, pleasechange to the specified versions. In particular, the cuDNN versionmust match exactly: TensorFlow will not load if it cannot find cuDNN64_6.dll.To use a different version of cuDNN, you must build from source.
Determine how to install TensorFlow
You must pick the mechanism by which you install TensorFlow. Thesupported choices are as follows:
- "native" pip
- Anaconda
Native pip installs TensorFlow directly on your system without goingthrough a virtual environment. Since a native pip installation is notwalled-off in a separate container, the pip installation might interferewith other Python-based installations on your system. However, if youunderstand pip and your Python environment, a native pip installationoften entails only a single command! Furthermore, if you install withnative pip, users can run TensorFlow programs from any directory onthe system.
In Anaconda, you may use conda to create a virtual environment.However, within Anaconda, we recommend installing TensorFlow with thepip install command, not with the conda install command.
NOTE: The conda package is community supported, not officially supported.That is, the TensorFlow team neither tests nor maintains this conda package.Use that package at your own risk.
Installing with native pip
If one of the following versions of Python is not installed on your machine,install it now:
-TensorFlow supports Python 3.5.x and 3.6.x on Windows.Note that Python 3 comes with the pip3 package manager, which is theprogram you'll use to install TensorFlow.
To install TensorFlow, start a terminal. Then issue the appropriatepip3 install command in that terminal. To install the CPU-onlyversion of TensorFlow, enter the following command:
C:\> pip3 install --upgrade tensorflow
To install the GPU version of TensorFlow, enter the following command:
C:\> pip3 install --upgrade tensorflow-gpu
Installing with Anaconda
The Anaconda installation is community supported, not officially supported.
Take the following steps to install TensorFlow in an Anaconda environment:
-
Follow the instructions on the Anaconda download site to download and install Anaconda.
-
Create a conda environment named tensorflow by invoking the following command:
C:> conda create -n tensorflow python=3.5
-
Activate the conda environment by issuing the following command:
C:> activate tensorflow (tensorflow)C:> # Your prompt should change
-
Issue the appropriate command to install TensorFlow inside your conda environment. To install the CPU-only version of TensorFlow, enter the following command:
(tensorflow)C:> pip install --ignore-installed --upgrade tensorflow
To install the GPU version of TensorFlow, enter the following command (on a single line):
(tensorflow)C:> pip install --ignore-installed --upgrade tensorflow-gpu
Validate your installation
Start a terminal.
If you installed through Anaconda, activate your Anaconda environment.
Invoke python from your shell as follows:
$ python
Enter the following short program inside the python interactive shell:
>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
>>> print(sess.run(hello))
If the system outputs the following, then you are ready to begin writingTensorFlow programs:
Hello, TensorFlow!
If you are new to TensorFlow, see Getting Started withTensorFlow.
If the system outputs an error message instead of a greeting, see Commoninstallation problems.
There is also a helpful scriptfor Windows TensorFlow installation issues.
Common installation problems
We are relying on Stack Overflow to document TensorFlow installation problemsand their remedies. The following table contains links to Stack Overflowanswers for some common installation problems.If you encounter an error message or otherinstallation problem not listed in the following table, search for iton Stack Overflow. If Stack Overflow doesn't show the error message,ask a new question about it on Stack Overflow and specifythe tensorflow tag.
| Stack Overflow Link | Error Message |
|---|---|
| 41007279 | [...\stream_executor\dso_loader.cc] Couldn't open CUDA library nvcuda.dll |
| 41007279 | [...\stream_executor\cuda\cuda_dnn.cc] Unable to load cuDNN DSO |
| 42006320 | ImportError: Traceback (most recent call last): File "...\tensorflow\core\framework\graph_pb2.py", line 6, in from google.protobuf import descriptor as _descriptor ImportError: cannot import name 'descriptor' |
| 42011070 | No module named "pywrap_tensorflow" |
| 42217532 | OpKernel ('op: "BestSplits" device_type: "CPU"') for unknown op: BestSplits |
| 43134753 | The TensorFlow library wasn't compiled to use SSE instructions |
扫一扫
1642
被折叠的 条评论
为什么被折叠?
到【灌水乐园】发言
