depot/third_party/nixpkgs/pkgs/development/python-modules/fairseq/default.nix
Default email 2c76a4cb41 Project import generated by Copybara.
GitOrigin-RevId: c757e9bd77b16ca2e03c89bf8bc9ecb28e0c06ad
2023-11-16 04:20:00 +00:00

122 lines
2.3 KiB
Nix

{ lib
, buildPythonPackage
, pythonOlder
, fetchFromGitHub
, fetchpatch
# Native build inputs
, cython
, pythonRelaxDepsHook
, which
# Propagated build inputs
, cffi
, hydra-core
, omegaconf
, sacrebleu
, numpy
, regex
, torch
, tqdm
, bitarray
, torchaudio
, scikit-learn
, packaging
# Check inputs
, expecttest
, hypothesis
, pytestCheckHook
}:
buildPythonPackage rec {
pname = "fairseq";
version = "0.12.3";
pyproject = true;
disabled = pythonOlder "3.7";
src = fetchFromGitHub {
owner = "pytorch";
repo = pname;
rev = "v${version}";
hash = "sha256-XX/grU5ljQCwx33miGoFc/7Uj9fZDtmhm4Fz7L4U+Bc=";
};
patches = [
# https://github.com/facebookresearch/fairseq/pull/5359
(fetchpatch {
url = "https://github.com/facebookresearch/fairseq/commit/2fa0768c2115b0a4c207cfa3e1b3e4ff3ad9a00c.patch";
hash = "sha256-aYYP/knQX6q6vhyA6q9uOOYfRhDAuJCo9QJWfFEDuuA=";
})
];
nativeBuildInputs = [
cython
pythonRelaxDepsHook
which
];
pythonRelaxDeps = [
"hydra-core"
"omegaconf"
];
propagatedBuildInputs = [
cffi
hydra-core
omegaconf
sacrebleu
numpy
regex
torch
tqdm
bitarray
torchaudio
scikit-learn
packaging
];
nativeCheckInputs = [
expecttest
hypothesis
pytestCheckHook
];
pythonImportsCheck = [ "fairseq" ];
preCheck = ''
export HOME=$TMPDIR
cd tests
'';
pytestFlagsArray = [
"--import-mode append"
];
disabledTests = [
# this test requires xformers
"test_xformers_single_forward_parity"
# this test requires iopath
"test_file_io_async"
# these tests require network access
"test_s2s_transformer_checkpoint"
"test_librispeech_s2t_transformer_s_checkpoint"
"test_s2s_transformer_checkpoint"
"test_waitk_checkpoint"
"test_sotasty_es_en_600m_checkpoint"
"test_librispeech_s2t_conformer_s_checkpoint"
];
disabledTestPaths = [
# ValueError: mutable default ... for field bar is not allowed: use default_factory
"test_dataclass_utils.py"
];
meta = with lib; {
description = "Facebook AI Research Sequence-to-Sequence Toolkit";
homepage = "https://github.com/pytorch/fairseq";
license = licenses.mit;
platforms = platforms.linux;
maintainers = with maintainers; [ happysalada ];
};
}