Update setup.py for pip release of v2.0

Signed-off-by: Niranjhana Narayanan <[email protected]>

Author: nniranjhana

README.md

@@ -12,9 +12,9 @@ details on how TensorFI works, how to use or modify it for your purposes,
 how to contribute and licensing information, please refer our
 [Wiki](https://github.com/DependableSystemsLab/TensorFI/wiki).
 
-If you find TensorFI useful, please cite the following paper: *TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications, Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben,  arXiv:2004.01743"
+If you find TensorFI useful, please cite the following paper: *"TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications, Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben,  arXiv:2004.01743".*
 
-Find a copy of the TensorFI paper [here] (https://arxiv.org/abs/2004.01743).
+Find a copy of the TensorFI paper [here](https://arxiv.org/abs/2004.01743).
 
 
 

setup.py

@@ -6,13 +6,13 @@
 setup(
   name = 'TensorFI',
   packages = ['TensorFI'],
-  version = '1.0.0',
+  version = '2.0.0',
   license='MIT',
   description = 'A fault injection tool for TensorFlow-based program',
   author = 'DependableSystemsLab',
   author_email = '[email protected]',
   url = 'https://github.com/DependableSystemsLab/TensorFI',
-  download_url = 'https://github.com/DependableSystemsLab/TensorFI/archive/v1.0.0.tar.gz',
+  download_url = 'https://github.com/DependableSystemsLab/TensorFI/archive/v2.0.0.tar.gz',
   long_description= "TensorFI is a fault injection framework for injecting both hardware and software faults into applications written using the TensorFlow framework.   \
                       Check the GitHub repo for more details",
   install_requires=[