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add TensorFlow 1.12.0
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inoryy authored Nov 16, 2018
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Expand Up @@ -13,22 +13,23 @@ The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are
|---|---|---|---|---|---|---|
|1.10|GPU+CPU|3.6|9.2|7.2|2.2|[https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.10.0/tensorflow-1.10.0-cp36-cp36m-linux_x86_64.whl](https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.10.0/tensorflow-1.10.0-cp36-cp36m-linux_x86_64.whl)|
|1.11|GPU+CPU|3.6|10.0|7.3|2.3|[https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.11.0/tensorflow-1.11.0-cp36-cp36m-linux_x86_64.whl](https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.11.0/tensorflow-1.11.0-cp36-cp36m-linux_x86_64.whl)|
|1.12|GPU+CPU|3.6|10.0|7.3|2.3|[https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.12.0/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl](https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.12.0/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl)|

## Installation

Assuming you have all the requirements, you can install the wheel directly via pip:

```
pip install https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.11.0/tensorflow-1.11.0-cp36-cp36m-linux_x86_64.whl
pip install https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.12.0/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl
```
And verify the installation (notice no warning messages):

```
python
Python 3.6.6 |Anaconda, Inc.| (default, Jun 28 2018, 17:14:51)
[GCC 7.2.0] on linux
Python 3.6.6 |Anaconda, Inc.| (default, Oct 9 2018, 12:34:16)
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> tf.__version__
'1.11.0'
'1.12.0'
```

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