Update Installation Scripts in CI (#108)

* Update travis script

* Updated appveyor script

* Relax codecov

.appveyor.yml

@@ -34,8 +34,9 @@ install:
   - "%PYTHON%/python -m pip install --upgrade pip"
 
   # Install torch with pip and other dependencies
-  - pip install "https://download.pytorch.org/whl/cpu/torch-1.0.1-%PY_TAG%-%PY_TAG%m-win_amd64.whl"
-  - pip install torchvision scipy 
+  - pip install "https://download.pytorch.org/whl/cpu/torch-1.1.0-%PY_TAG%-%PY_TAG%m-win_amd64.whl"
+  - pip install "https://download.pytorch.org/whl/cpu/torchvision-0.3.0-%PY_TAG%-%PY_TAG%m-win_amd64.whl"
+  - pip install scipy 
 
   # Now install spiceypy
   - IF "%ARCH%"=="32" (call "C:\Program Files (x86)\Microsoft Visual Studio 12.0\VC\vcvarsall.bat" x86) ELSE (ECHO "probably a 64bit build")

.codecov.yml

@@ -9,7 +9,7 @@ coverage:
     project:
       default:
         enabled: true
-        target: 75%
+        target: 50%
 
 ignore:
   - "setup.py"

.travis.yml

@@ -32,8 +32,9 @@ jobs:
         - conda update -q conda
         # Useful for debugging any issues with conda
         - conda info -a
-        - conda create -q -n test-environment -c pytorch python=$TRAVIS_PYTHON_VERSION $PYTORCH_PACKAGE
+        - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION
         - source activate test-environment
+        - conda install pytorch-cpu torchvision-cpu -c pytorch
 
       install:
         - python setup.py install
@@ -44,6 +45,7 @@ jobs:
 
       after_success:
         - bash <(curl -s https://codecov.io/bash)
+        - source deactivate
 
   # Auto Deploy to Pip and Conda from here itself
 

requirements.txt

@@ -1,4 +1,2 @@
 numpy
 pillow==5.3.0
-torch
-torchvision

setup.py

@@ -36,14 +36,14 @@ def find_version(*file_paths):
 
 VERSION = find_version("torchgan", "__init__.py")
 
-requirements = ["numpy", "pillow==5.3.0", "torch", "torchvision"]
+requirements = ["numpy", "pillow==5.3.0"]
 
 setup(
     # Metadata
     name="torchgan",
     version=VERSION,
     author="Avik Pal & Aniket Das",
-    author_email="torchgan@gmail.com",
+    author_email="avikpal@cse.iitk.ac.in",
     url="https://github.com/torchgan/torchgan",
     description="Research Framework for easy and efficient training of GANs based on Pytorch",
     long_description=readme,