Merge branch 'main' into test-gh-pages

Author: rfeinman

docs/source/conf.py

@@ -24,7 +24,7 @@
 author = 'Reuben Feinman'
 
 # The full version, including alpha/beta/rc tags
-release = '0.1.0-beta'
+release = torchmin.__version__
 
 
 # -- General configuration ---------------------------------------------------

docs/source/index.rst

@@ -4,7 +4,7 @@ Pytorch-minimize
 Pytorch-minimize is a library for numerical optimization with automatic differentiation and GPU acceleration. It implements a number of canonical techniques for deterministic (or "full-batch") optimization not offered in the :mod:`torch.optim` module. The library is inspired heavily by SciPy's :mod:`optimize` module and MATLAB's `Optimization Toolbox <https://www.mathworks.com/products/optimization.html>`_. Unlike SciPy and MATLAB, which use numerical approximations of derivatives that are slow and often inaccurate, pytorch-minimize uses *real* first- and second-order derivatives, computed seamlessly behind the scenes with autograd. Both CPU and CUDA are supported.
 
 :Author: Reuben Feinman
-:Version: 0.0.1
+:Version: |release|
 
 Pytorch-minimize is currently in Beta; expect the API to change before a first official release. Some of the source code was taken directly from SciPy and ported to PyTorch. As such, here is their copyright notice:
 

pyproject.toml

@@ -42,7 +42,7 @@ Homepage = "https://github.com/rfeinman/pytorch-minimize"
 include-package-data = false  # Only include .py files
 
 [tool.setuptools.dynamic]
-version = {attr = "torchmin.__version__"}
+version = {attr = "torchmin._version.__version__"}
 
 [tool.setuptools.packages.find]
 exclude = ["tests*", "docs*", "examples*", "tmp*"]

torchmin/__init__.py

@@ -1,9 +1,8 @@
+from ._version import __version__
 from .minimize import minimize
 from .minimize_constr import minimize_constr
 from .lstsq import least_squares
 from .optim import Minimizer, ScipyMinimizer
 
 __all__ = ['minimize', 'minimize_constr', 'least_squares',
            'Minimizer', 'ScipyMinimizer']
-
-__version__ = "0.0.2"

torchmin/_version.py

@@ -0,0 +1 @@
+__version__ = "0.0.2"