Use conda env for building the doc (#16)

.readthedocs.yml

@@ -15,8 +15,12 @@ sphinx:
 # Optionally build your docs in additional formats such as PDF and ePub
 formats: all
 
+# Set requirements using conda env
+conda:
+  environment: docs/conda_env.yml
+
 # Optionally set the version of Python and requirements required to build your docs
-python:
-  version: 3.7
-  install:
-    - requirements: docs/requirements.txt
+# python:
+#   version: 3.7
+#   install:
+#     - requirements: docs/requirements.txt

docs/conda_env.yml

@@ -0,0 +1,16 @@
+name: root
+channels:
+  - pytorch
+  - defaults
+dependencies:
+  - cpuonly=1.0=0
+  - pip=20.0
+  - python=3.6
+  - pytorch=1.5.0=py3.6_cpu_0
+  - pip:
+    - gym==0.17.2
+    - cloudpickle
+    - opencv-python-headless
+    - pandas
+    - numpy
+    - matplotlib

docs/conf.py

@@ -216,7 +216,3 @@ def setup(app):
 #     'numpy': ('http://docs.scipy.org/doc/numpy/', None),
 #     'torch': ('http://pytorch.org/docs/master/', None),
 # }
-
-# kornia's hack to get rtd builder to install latest pytorch
-if on_rtd:
-    os.system('pip install torch==1.5.0+cpu torchvision==0.6.0+cpu -f https://download.pytorch.org/whl/torch_stable.html')

setup.py

@@ -104,7 +104,7 @@
             # For render
             'opencv-python',
             # For atari games,
-            'atari_py~=0.2.0', 'Pillow'
+            'atari_py~=0.2.0', 'pillow'
         ]
       },
       description='Pytorch version of Stable Baselines, implementations of reinforcement learning algorithms.',