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Original file line number Diff line number Diff line change
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easyblock = 'PythonBundle'

name = 'BoTorch'
version = '0.17.0'
versionsuffix = '-CUDA-%(cudaver)s'

homepage = 'https://botorch.org/'
description = "BoTorch is a library for Bayesian Optimization built on PyTorch."

toolchain = {'name': 'foss', 'version': '2025a'}

github_account = 'meta-pytorch'

builddependencies = [
('setuptools', '80.9.0'),
('hatchling', '1.27.0'),
('Cython', '3.1.1'),
]
dependencies = [
('CUDA', '12.8.0', '', SYSTEM),
('Python', '3.13.1'),
('SciPy-bundle', '2025.06'),
('PyTorch', '2.9.1', f'{versionsuffix}-whl'),
('GPyTorch', '1.15.1', versionsuffix),
('Deprecated', '1.2.18'),
('matplotlib', '3.10.3'),
]

exts_list = [
('cffi', '1.17.1', { # Needed for tests
'checksums': ['1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824'],
}),
('graphemeu', '0.7.2', { # Exact version needed for alive-progress
'modulename': 'grapheme',
'checksums': ['42bbe373d7c146160f286cd5f76b1a8ad29172d7333ce10705c5cc282462a4f8'],
}),
('about-time', '4.2.1', { # Exact version needed for alive-progress
'checksums': ['6a538862d33ce67d997429d14998310e1dbfda6cb7d9bbfbf799c4709847fece'],
}),
('mypy_extensions', '1.1.0', { # Needed for tests
'preinstallopts': "sed -i '/license/d' pyproject.toml && ",
'checksums': ['52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558'],
}),
('typing_inspect', '0.9.0', { # Needed for tests
'checksums': ['b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78'],
}),
('moocore', '0.2.0', { # Needed by pymoo
'checksums': ['3dc601f85f9a4743ed50ddd027dca30e3bb55c899916a092c2ece495b1b2de08'],
}),
('cma', '4.4.4', { # Needed by pymoo
'source_templ': SOURCE_PY3_WHL,
'checksums': ['632bd654b5dce04c0eaa3166679d3e4773ce7a79eab7934e7f363c341b9a8170'],
}),
('autograd', '1.8.0', { # Needed by pymoo
'checksums': ['107374ded5b09fc8643ac925348c0369e7b0e73bbed9565ffd61b8fd04425683'],
}),
('alive-progress', '3.3.0', { # Needed by pymoo
'checksums': ['457dd2428b48dacd49854022a46448d236a48f1b7277874071c39395307e830c'],
}),
('multipledispatch', '1.0.0', {
'checksums': ['5c839915465c68206c3e9c473357908216c28383b425361e5d144594bf85a7e0'],
}),
('pyre_extensions', '0.0.32', {
'checksums': ['5396715f14ea56c4d5fd0a88c57ca7e44faa468f905909edd7de4ad90ed85e55'],
}),
('pymoo', '0.6.1.6', {
'source_urls': ['https://github.com/anyoptimization/pymoo/archive/'],
'sources': [{'download_filename': '%(version)s.tar.gz', 'filename': SOURCE_TAR_GZ}],
'checksums': ['33ef39c916da70373a3d597be0742a1bb391b6a9138ce6b5e5ba9d462acdf529'],
}),
('botorch', version, {
# Grab GitHub sources for tests
'source_urls': [GITHUB_LOWER_SOURCE],
'sources': ['v%(version)s.tar.gz'],
'preinstallopts': """sed -i '/write_to/s/.*/fallback_version = "0.17.0"/' pyproject.toml && """,
'testinstall': True,
'runtest': (
'pytest -v test_community --ignore=test_community/models/test_prior_fitted_network.py || '
# create all tensors on cpu only to fix:
# RuntimeError: Expected all tensors to be on the same device, but found at least two devices,
# cpu and cuda:0! (when checking argument for argument mat2 in method wrapper_CUDA_mm)
'CUDA_VISIBLE_DEVICES="" '
'pytest -v test_community --ignore=test_community/models/test_prior_fitted_network.py --last-failed'
),
'checksums': ['1e1e1f8f4af38ddcb614a036e8ee748f33797c4bd4f7ab55703db711b92fb5ba'],
}),
]

moduleclass = 'ai'
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