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%global _empty_manifest_terminate_build 0
Name: torchtext
Version: 0.16.2
Release: 1
Summary: Models, data loaders and abstractions for language processing, powered by PyTorch
License: BSD-3-Clause
URL: https://pytorch.org/text/
Source0: https://github.com/pytorch/text/archive/refs/tags/v%{version}.zip
Source1: double-conversion.zip
Source2: re2.zip
Source3: sentencepiece.zip
Source4: utf8proc.zip
Patch0: 0001-manunally-add-submodule.patch
BuildRequires: g++
Requires: python3-numpy
Requires: python3-pytorch
Requires: python3-requests
Requires: python3-tqdm
%description
This repository consists of: The raw text iterators for common NLP datasets. Some basic NLP building blocks
Basic text-processing transformations. Pre-trained models, Vocab and Vectors related classes and factory functions
Example NLP workflows with PyTorch and torchtext library.
%package -n python3-torchtext
Summary: Models, data loaders and abstractions for language processing, powered by PyTorch
Provides: python-torchtext
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-setuptools_scm
BuildRequires: python3-pbr
BuildRequires: python3-pip
BuildRequires: python3-wheel
BuildRequires: python3-hatchling
BuildRequires: python3-sympy
BuildRequires: python3-pytorch >= 2.1.2
BuildRequires: ninja-build
BuildRequires: numactl
BuildRequires: cmake
%description -n python3-torchtext
This repository consists of: The raw text iterators for common NLP datasets. Some basic NLP building blocks
Basic text-processing transformations. Pre-trained models, Vocab and Vectors related classes and factory functions
Example NLP workflows with PyTorch and torchtext library.
%package help
Summary: Development documents and examples for torchtext
Provides: python3-torchtext-doc
%description help
This repository consists of: The raw text iterators for common NLP datasets. Some basic NLP building blocks
Basic text-processing transformations. Pre-trained models, Vocab and Vectors related classes and factory functions
Example NLP workflows with PyTorch and torchtext library.
%prep
unzip -q %{SOURCE1}
unzip -q %{SOURCE2}
unzip -q %{SOURCE3}
unzip -q %{SOURCE4}
%autosetup -p1 -n text-%{version}
mv ../double-conversion ./third_party/
mv ../re2 ./third_party/
mv ../sentencepiece ./third_party/
mv ../utf8proc ./third_party/
%build
%pyproject_build
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/doclist.lst .
%install
%pyproject_install
%files -n python3-torchtext
%doc *.md
%license LICENSE
%{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Sun Jan 28 2024 Binshuo Zu <274620705z@gmail.com> - 0.16.2-1
- Package init
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