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