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easyblock = 'PythonBundle' | ||
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name = 'Geneformer' | ||
version = '0.1.0-20241204' | ||
local_commit = '09de197' | ||
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homepage = 'https://huggingface.co/ctheodoris/Geneformer' | ||
description = """Geneformer is a foundational transformer model pretrained on a large-scale | ||
corpus of single cell transcriptomes to enable context-aware predictions in settings | ||
with limited data in network biology.""" | ||
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toolchain = {'name': 'foss', 'version': '2023a'} | ||
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dependencies = [ | ||
('Python', '3.11.3'), | ||
('SciPy-bundle', '2023.07'), | ||
('anndata', '0.10.5.post1'), | ||
('HF-Datasets', '2.18.0'), | ||
('loompy', '3.0.7'), | ||
('matplotlib', '3.7.2'), | ||
('Optuna', '3.5.0'), | ||
('Arrow', '14.0.1'), | ||
('Ray-project', '2.9.1'), | ||
('scanpy', '1.9.8'), | ||
('scikit-learn', '1.3.1'), | ||
('Seaborn', '0.13.2'), | ||
('statsmodels', '0.14.1'), | ||
('tensorboard', '2.15.1'), | ||
('PyTorch', '2.1.2'), | ||
('tqdm', '4.66.1'), | ||
('Transformers', '4.39.3'), | ||
('accelerate', '0.33.0'), | ||
] | ||
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use_pip = True | ||
sanity_pip_check = True | ||
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exts_list = [ | ||
('optuna_integration', '4.1.0', { | ||
'source_tmpl': SOURCE_PY3_WHL, | ||
'checksums': ['d6ce0ffb650f7783e6cc4a4fd2f684fb1252db441414669b14c01f65b1556a2c'], | ||
}), | ||
('peft', '0.13.2', { | ||
'source_tmpl': SOURCE_PY3_WHL, | ||
'checksums': ['d4e0951ec78eac11c45a051801c569913436888c578d48e5ce86996b715bc6ef'], | ||
}), | ||
('accumulation_tree', '0.6.4', { | ||
'checksums': ['5f907667e4106b5ba140b6b871e1902eb2a93d429b92f8a9f7ddb2bee7704334'], | ||
}), | ||
('pyudorandom', '1.0.0', { | ||
'checksums': ['f30a093a0170c15f9c7f87eb29f71f0f5fde995528b7c6dc4606d389e8c37755'], | ||
}), | ||
('tdigest', '0.5.2.2', { | ||
'source_tmpl': SOURCE_PY3_WHL, | ||
'checksums': ['dd25f8d6e6be002192bba9e4b8c16491d36c10b389f50637818603d1f67c6fb2'], | ||
}), | ||
(name, version, { | ||
'sources': [{ | ||
'filename': '%(name)s-%(version)s.tar.gz', | ||
'git_config': { | ||
'url': 'https://huggingface.co/ctheodoris', | ||
'repo_name': name, | ||
'commit': local_commit, | ||
}, | ||
}], | ||
'checksums': [None], | ||
}), | ||
] | ||
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sanity_check_paths = { | ||
'files': [], | ||
'dirs': ['lib/python%(pyshortver)s/site-packages'], | ||
} | ||
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moduleclass = 'bio' |
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easyblock = 'PythonBundle' | ||
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name = 'accelerate' | ||
version = '0.33.0' | ||
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homepage = 'https://github.com/huggingface/accelerate' | ||
description = """A simple way to launch, train, and use PyTorch models on almost any device and | ||
distributed configuration, automatic mixed precision (including fp8), | ||
and easy-to-configure FSDP and DeepSpeed support.""" | ||
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toolchain = {'name': 'foss', 'version': '2023a'} | ||
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dependencies = [ | ||
('Python', '3.11.3'), | ||
('Python-bundle-PyPI', '2023.06'), | ||
('SciPy-bundle', '2023.07'), | ||
('PyTorch-bundle', '2.1.2'), | ||
('PyYAML', '6.0'), | ||
('Safetensors', '0.4.3'), | ||
] | ||
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sanity_pip_check = True | ||
use_pip = True | ||
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exts_list = [ | ||
('huggingface-hub', '0.24.5', { | ||
'sources': ['huggingface_hub-%(version)s.tar.gz'], | ||
'checksums': ['7b45d6744dd53ce9cbf9880957de00e9d10a9ae837f1c9b7255fc8fa4e8264f3'], | ||
}), | ||
(name, version, { | ||
'checksums': ['11ba481ed6ea09191775df55ce464aeeba67a024bd0261a44b77b30fb439e26a'], | ||
}), | ||
] | ||
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sanity_check_commands = ['accelerate test'] | ||
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moduleclass = 'ai' |