Name:          micrograd
Version:       0.1.0
Release:       1%{?dist}
Summary:       A tiny scalar-valued autograd engine and a neural net library on top
License:       MIT
URL:           https://github.com/karpathy/micrograd
Source0:       %url/archive/%{version}.tar.gz#/%{name}-%{version}.tar.gz
# https://files.pythonhosted.org/packages/1c/dc/9354ac4d39b589f2f3bea4b51195936673c211484fc069c147b1cc1196f0/micrograd-0.1.0.tar.gz

BuildArch:     noarch
BuildRequires: python3-devel
BuildRequires: python3-setuptools

%description
A tiny Autograd engine (with a bite! :)). Implements backpropagation (reverse-mode
autodiff) over a dynamically built DAG and a small neural networks library on top
of it with a PyTorch-like API. Both are tiny, with about 100 and 50 lines of code
respectively. The DAG only operates over scalar values, so e.g. we chop up each
neuron into all of its individual tiny adds and multiplies. However, this is enough
to build up entire deep neural nets doing binary classification, as the demo
notebook shows. Potentially useful for educational purposes.

%prep
%autosetup -p1
%generate_buildrequires
%pyproject_buildrequires

%build
%pyproject_wheel

%install
%pyproject_install
%pyproject_save_files micrograd

%files -f %{pyproject_files}
#%license LICENSE
#%doc README.md

%changelog
* Tue Jun 20 2023 Peter Robinson <pbrobinson@fedoraproject.org> - 0.1.0-1
- Initial package