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PyTorch-2.1.2-foss-2023b.eb
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PyTorch-2.1.2-foss-2023b.eb
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name = 'PyTorch'
version = '2.1.2'
homepage = 'https://pytorch.org/'
description = """Tensors and Dynamic neural networks in Python with strong GPU acceleration.
PyTorch is a deep learning framework that puts Python first."""
toolchain = {'name': 'foss', 'version': '2023b'}
source_urls = [GITHUB_RELEASE]
sources = ['%(namelower)s-v%(version)s.tar.gz']
patches = [
'PyTorch-1.7.0_disable-dev-shm-test.patch',
'PyTorch-1.11.1_skip-test_init_from_local_shards.patch',
'PyTorch-1.12.1_add-hypothesis-suppression.patch',
'PyTorch-1.12.1_fix-test_cpp_extensions_jit.patch',
'PyTorch-1.12.1_fix-TestTorch.test_to.patch',
'PyTorch-1.12.1_skip-test_round_robin.patch',
'PyTorch-1.13.1_fix-gcc-12-warning-in-fbgemm.patch',
'PyTorch-1.13.1_fix-protobuf-dependency.patch',
'PyTorch-1.13.1_fix-warning-in-test-cpp-api.patch',
'PyTorch-1.13.1_skip-failing-singular-grad-test.patch',
'PyTorch-1.13.1_skip-tests-without-fbgemm.patch',
'PyTorch-2.0.1_avoid-test_quantization-failures.patch',
'PyTorch-2.0.1_fix-skip-decorators.patch',
'PyTorch-2.0.1_fix-ub-in-inductor-codegen.patch',
'PyTorch-2.0.1_fix-vsx-loadu.patch',
'PyTorch-2.0.1_no-cuda-stubs-rpath.patch',
'PyTorch-2.0.1_skip-failing-gradtest.patch',
'PyTorch-2.0.1_skip-test_shuffle_reproducibility.patch',
'PyTorch-2.0.1_skip-tests-skipped-in-subprocess.patch',
'PyTorch-2.1.0_disable-gcc12-warning.patch',
'PyTorch-2.1.0_fix-bufferoverflow-in-oneDNN.patch',
'PyTorch-2.1.0_fix-test_numpy_torch_operators.patch',
'PyTorch-2.1.0_fix-validationError-output-test.patch',
'PyTorch-2.1.0_fix-vsx-vector-shift-functions.patch',
'PyTorch-2.1.0_increase-tolerance-functorch-test_vmapvjpvjp.patch',
'PyTorch-2.1.0_remove-sparse-csr-nnz-overflow-test.patch',
'PyTorch-2.1.0_remove-test-requiring-online-access.patch',
'PyTorch-2.1.0_skip-diff-test-on-ppc.patch',
'PyTorch-2.1.0_skip-dynamo-test_predispatch.patch',
'PyTorch-2.1.0_skip-test_jvp_linalg_det_singular.patch',
'PyTorch-2.1.0_skip-test_linear_fp32-without-MKL.patch',
'PyTorch-2.1.0_skip-test_wrap_bad.patch',
'PyTorch-2.1.2_fix-test_extension_backend-without-vectorization.patch',
'PyTorch-2.1.2_fix-test_memory_profiler.patch',
'PyTorch-2.1.2_fix-test_torchinductor-rounding.patch',
'PyTorch-2.1.2_fix-vsx-vector-abs.patch',
'PyTorch-2.1.2_fix-vsx-vector-div.patch',
'PyTorch-2.1.2_skip-cpu_repro-test-without-vectorization.patch',
'PyTorch-2.1.2_skip-memory-leak-test.patch',
'PyTorch-2.1.2_workaround_dynamo_failure_without_nnpack.patch',
]
checksums = [
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{'PyTorch-1.11.1_skip-test_init_from_local_shards.patch':
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{'PyTorch-1.12.1_add-hypothesis-suppression.patch':
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{'PyTorch-2.1.0_fix-bufferoverflow-in-oneDNN.patch':
'b15b1291a3c37bf6a4982cfbb3483f693acb46a67bc0912b383fd98baf540ccf'},
{'PyTorch-2.1.0_fix-test_numpy_torch_operators.patch':
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{'PyTorch-2.1.0_fix-validationError-output-test.patch':
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{'PyTorch-2.1.0_increase-tolerance-functorch-test_vmapvjpvjp.patch':
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{'PyTorch-2.1.0_remove-sparse-csr-nnz-overflow-test.patch':
'0ac36411e76506b3354c85a8a1260987f66af947ee52ffc64230aee1fa02ea8b'},
{'PyTorch-2.1.0_remove-test-requiring-online-access.patch':
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{'PyTorch-2.1.0_skip-diff-test-on-ppc.patch': '394157dbe565ffcbc1821cd63d05930957412156cc01e949ef3d3524176a1dda'},
{'PyTorch-2.1.0_skip-dynamo-test_predispatch.patch':
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{'PyTorch-2.1.0_skip-test_jvp_linalg_det_singular.patch':
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{'PyTorch-2.1.0_skip-test_linear_fp32-without-MKL.patch':
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{'PyTorch-2.1.0_skip-test_wrap_bad.patch': 'b8583125ee94e553b6f77c4ab4bfa812b89416175dc7e9b7390919f3b485cb63'},
{'PyTorch-2.1.2_fix-test_extension_backend-without-vectorization.patch':
'cd1455495886a7d6b2d30d48736eb0103fded21e2e36de6baac719b9c52a1c92'},
{'PyTorch-2.1.2_fix-test_memory_profiler.patch':
'30b0c9355636c0ab3dedae02399789053825dc3835b4d7dac6e696767772b1ce'},
{'PyTorch-2.1.2_fix-test_torchinductor-rounding.patch':
'a0ef99192ee2ad1509c78a8377023d5be2b5fddb16f84063b7c9a0b53d979090'},
{'PyTorch-2.1.2_fix-vsx-vector-abs.patch': 'd67d32407faed7dc1dbab4bba0e2f7de36c3db04560ced35c94caf8d84ade886'},
{'PyTorch-2.1.2_fix-vsx-vector-div.patch': '11f497a6892eb49b249a15320e4218e0d7ac8ae4ce67de39e4a018a064ca1acc'},
{'PyTorch-2.1.2_skip-cpu_repro-test-without-vectorization.patch':
'7ace835af60c58d9e0754a34c19d4b9a0c3a531f19e5d0eba8e2e49206eaa7eb'},
{'PyTorch-2.1.2_skip-memory-leak-test.patch': '8d9841208e8a00a498295018aead380c360cf56e500ef23ca740adb5b36de142'},
{'PyTorch-2.1.2_workaround_dynamo_failure_without_nnpack.patch':
'fb96eefabf394617bbb3fbd3a7a7c1aa5991b3836edc2e5d2a30e708bfe49ba1'},
]
osdependencies = [OS_PKG_IBVERBS_DEV]
builddependencies = [
('CMake', '3.27.6'),
('hypothesis', '6.90.0'),
# For tests
('pytest-flakefinder', '1.1.0'),
('pytest-rerunfailures', '14.0'),
('pytest-shard', '0.1.2'),
]
dependencies = [
('Ninja', '1.11.1'), # Required for JIT compilation of C++ extensions
('Python', '3.11.5'),
('Python-bundle-PyPI', '2023.10'),
('protobuf', '25.3'),
('protobuf-python', '4.25.3'),
('pybind11', '2.11.1'),
('SciPy-bundle', '2023.11'),
('PyYAML', '6.0.1'),
('MPFR', '4.2.1'),
('GMP', '6.3.0'),
('numactl', '2.0.16'),
('FFmpeg', '6.0'),
('Pillow', '10.2.0'),
('expecttest', '0.2.1'),
('networkx', '3.2.1'),
('sympy', '1.12'),
('Z3', '4.13.0',),
]
use_pip = True
buildcmd = '%(python)s setup.py build' # Run the (long) build in the build step
excluded_tests = {
'': [
# This test seems to take too long on NVIDIA Ampere at least.
'distributed/test_distributed_spawn',
# Broken on CUDA 11.6/11.7: https://github.com/pytorch/pytorch/issues/75375
'distributions/test_constraints',
# no xdoctest
'doctests',
# failing on broadwell
# See https://github.com/easybuilders/easybuild-easyconfigs/issues/17712
'test_native_mha',
# intermittent failures on various systems
# See https://github.com/easybuilders/easybuild-easyconfigs/issues/17712
'distributed/rpc/test_tensorpipe_agent',
]
}
runtest = 'cd test && PYTHONUNBUFFERED=1 %(python)s run_test.py --continue-through-error --verbose %(excluded_tests)s'
# Especially test_quantization has a few corner cases that are triggered by the random input values,
# those cannot be easily avoided, see https://github.com/pytorch/pytorch/issues/107030
# So allow a low number of tests to fail as the tests "usually" succeed
max_failed_tests = 2
tests = ['PyTorch-check-cpp-extension.py']
moduleclass = 'ai'