Make Ranger a python package

README.md

@@ -32,7 +32,26 @@ Fixes:
 1 - Differential Group learning rates now supported.  This was fix in RAdam and ported here thanks to @sholderbach.
 2 - save and then load may leave first run weights stranded in memory, slowing down future runs = fixed.
 
-
+### Installation
+Clone the repo, cd into it and install it in editable mode (`-e` option).
+That way, these is no more need to re-install the package after modification.
+```bash
+git clone https://github.com/lessw2020/Ranger-Deep-Learning-Optimizer
+cd Ranger-Deep-Learning-Optimizer
+pip install -e . 
+```
+
+### Usage 
+```python
+from ranger import Ranger  # this is from ranger.py
+from ranger import RangerVA  # this is from ranger913A.py
+from ranger import RangerQH  # this is from rangerqh.py
+
+# Define your model
+model = ...
+# Each of the Ranger, RangerVA, RangerQH have different parameters.
+optimizer = Ranger(model.parameters(), **kwargs)
+```
 Usage and notebook to test are available here:
 https://github.com/lessw2020/Ranger-Mish-ImageWoof-5
 

ranger/__init__.py

@@ -0,0 +1,3 @@
+from .ranger import Ranger
+from .ranger913A import RangerVA
+from .rangerqh import RangerQH

ranger913A.py → ranger/ranger913A.py

@@ -24,7 +24,7 @@
 
 
 
-class Ranger(Optimizer):
+class RangerVA(Optimizer):
 
     def __init__(self, params, lr=1e-3, alpha=0.5, k=6, n_sma_threshhold=5, betas=(.95,0.999), 
                  eps=1e-5, weight_decay=0, amsgrad=True, transformer='softplus', smooth=50,

setup.py

@@ -0,0 +1,11 @@
+from setuptools import setup
+
+setup(
+    name='ranger',
+    version='0.0.1',
+    description='Ranger - a synergistic optimizer using RAdam '
+                '(Rectified Adam) and LookAhead in one codebase ',
+    author='Less Wright',
+    license='Apache',
+    install_requires=['torch']
+)