add TensorFlow 2.0.0a0

README.md

@@ -16,32 +16,33 @@ The builds enable CPU optimizations such as `SSE4`, `AVX2`, and `FMA`. If you ha
 Additionally, build enables [XLA](https://www.tensorflow.org/xla/) - an Accelerated Linear Algebra domain-specific just-in-time compiler, and [MPI](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/mpi) - a faster way to run distributed TensorFlow than what is offered built-in.
 
 ## Available Wheels
-|TensorFlow|CUDA|CuDNN|Python|NCCL|Compute Capability|OS|Link|
-|---:|---:|---:|---:|---:|---:|---:|:---:|
-|1.13.1|10.0|7.3|3.7|2.3|5.0, 6.1, 7.0|Linux|[tensorflow-1.13.1-cp37-cp37m-linux_x86_64.whl](https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.13.1-py37/tensorflow-1.13.1-cp37-cp37m-linux_x86_64.whl)|
-|1.13.1|10.0|7.3|3.6|2.3|5.0, 6.1, 7.0|Linux|[tensorflow-1.13.1-cp36-cp36m-linux_x86_64.whl](https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.13.1/tensorflow-1.13.1-cp36-cp36m-linux_x86_64.whl)|
-|1.12.0|10.0|7.3|3.6|2.3|5.0, 6.1, 7.0|Linux|[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)|
-|1.11.0|10.0|7.3|3.6|2.3|6.1|Linux|[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)|
-|1.10.0|9.2|7.2|3.6|2.2|6.1|Linux|[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)|
+|TensorFlow|CUDA|CuDNN|TensorRT|Python|NCCL|Compute Capability|OS|Link|
+|---:|---:|---:|---:|---:|---:|---:|:---:|:---:|
+|2.0.0a0|10.0|7.5|5.0|3.7|2.4|5.0, 6.1, 7.0|Linux|[tensorflow-2.0.0a0-cp37-cp37m-linux_x86_64.whl](https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v2.0.0a0/tensorflow-2.0.0a0-cp37-cp37m-linux_x86_64.whl)|
+|1.13.1|10.0|7.3|N/A|3.7|2.3|5.0, 6.1, 7.0|Linux|[tensorflow-1.13.1-cp37-cp37m-linux_x86_64.whl](https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.13.1-py37/tensorflow-1.13.1-cp37-cp37m-linux_x86_64.whl)|
+|1.13.1|10.0|7.3|N/A|3.6|2.3|5.0, 6.1, 7.0|Linux|[tensorflow-1.13.1-cp36-cp36m-linux_x86_64.whl](https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.13.1/tensorflow-1.13.1-cp36-cp36m-linux_x86_64.whl)|
+|1.12.0|10.0|7.3|N/A|3.6|2.3|5.0, 6.1, 7.0|Linux|[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)|
+|1.11.0|10.0|7.3|N/A|3.6|2.3|6.1|Linux|[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)|
+|1.10.0|9.2|7.2|N/A|3.6|2.2|6.1|Linux|[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)|
 
 
 ## 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/v1.12.0/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl
+pip install https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v2.0.0a0/tensorflow-2.0.0a0-cp37-cp37m-linux_x86_64.whl
 ```
 And verify the installation (notice no warning messages):
 
 ```
 python
-Python 3.6.6 |Anaconda, Inc.| (default, Oct  9 2018, 12:34:16) 
-[GCC 7.3.0] on linux
+Python 3.7.1 | packaged by conda-forge | (default, Mar 13 2019, 12:57:14) 
+[GCC 7.3.0] :: Anaconda, Inc. on linux
 Type "help", "copyright", "credits" or "license" for more information.
 >>> import tensorflow as tf
 >>> tf.__version__
-'1.12.0'
+'2.0.0-alpha0'
 ```
 
 ## Requests