mirror of
https://code.it4i.cz/sccs/easyconfigs-it4i.git
synced 2025-04-04 06:11:36 +01:00
new file: c/cuDNN/cuDNN-8.9.7.29-CUDA-12.4.0.eb
new file: d/dftd3-lib/dftd3-lib-0.9.2-GCC-12.3.0.eb new file: f/fypp/fypp-3.2-foss-2023a.eb new file: p/PyTorch/PyTorch-2.4.1-foss-2023b-CUDA-12.4.0.eb new file: t/tblite/tblite-0.3.0-foss-2023a.eb new file: t/tblite/tblite-0.4.0-foss-2023a.eb
This commit is contained in:
Lukas Krupcik
parent
eee88a209b
commit
30fb098f83
43
c/cuDNN/cuDNN-8.9.7.29-CUDA-12.4.0.eb
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43
c/cuDNN/cuDNN-8.9.7.29-CUDA-12.4.0.eb
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@ -0,0 +1,43 @@
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# IT4Innovations
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# PH 2024
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name = 'cuDNN'
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version = '8.9.7.29'
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versionsuffix = '-CUDA-%(cudaver)s'
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homepage = 'https://developer.nvidia.com/cudnn'
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description = """The NVIDIA CUDA Deep Neural Network library (cuDNN) is
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a GPU-accelerated library of primitives for deep neural networks."""
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toolchain = SYSTEM
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# note: cuDNN is tied to specific to CUDA versions,
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# see also https://docs.nvidia.com/deeplearning/cudnn/support-matrix/index.html#cudnn-cuda-hardware-versions
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local_short_ver = '.'.join(version.split('.')[:3])
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local_cuda_major = '12'
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source_urls = [
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'https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-%(cudnnarch)s/'
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]
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sources = ['%%(namelower)s-linux-%%(cudnnarch)s-%%(version)s_cuda%s-archive.tar.xz' % local_cuda_major]
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checksums = [{
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'%%(namelower)s-linux-ppc64le-%%(version)s_cuda%s-archive.tar.xz' % local_cuda_major:
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'8574d291b299f9cc0134304473c9933bd098cc717e8d0876f4aba9f9eebe1b76',
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'%%(namelower)s-linux-sbsa-%%(version)s_cuda%s-archive.tar.xz' % local_cuda_major:
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'e98b7c80010785e5d5ca01ee4ce9b5b0c8c73587ea6f8648be34d3f8d1d47bd1',
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'%%(namelower)s-linux-x86_64-%%(version)s_cuda%s-archive.tar.xz' % local_cuda_major:
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'475333625c7e42a7af3ca0b2f7506a106e30c93b1aa0081cd9c13efb6e21e3bb',
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}]
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dependencies = [('CUDA', '12.4.0')]
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sanity_check_paths = {
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'files': [
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'include/cudnn.h', 'lib64/libcudnn_adv_infer_static.a', 'lib64/libcudnn_adv_train_static.a',
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'lib64/libcudnn_cnn_infer_static.a', 'lib64/libcudnn_cnn_train_static.a',
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'lib64/libcudnn_ops_infer_static.a', 'lib64/libcudnn_ops_train_static.a',
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'lib64/libcudnn.%s' % SHLIB_EXT
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],
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'dirs': ['include', 'lib64'],
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}
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moduleclass = 'numlib'
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43
d/dftd3-lib/dftd3-lib-0.9.2-GCC-12.3.0.eb
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43
d/dftd3-lib/dftd3-lib-0.9.2-GCC-12.3.0.eb
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# IT4Innovations
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# PH 2024
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easyblock = 'MakeCp'
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name = 'dftd3-lib'
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version = '0.9.2'
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homepage = 'https://github.com/dftbplus/dftd3-lib'
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description = """This is a repackaged version of the DFTD3 program by S. Grimme and his coworkers.
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The original program (V3.1 Rev 1) was downloaded at 2016-04-03. It has been
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converted to free format and encapsulated into modules."""
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toolchain = {'name': 'GCC', 'version': '12.3.0'}
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toolchainopts = {'pic': True}
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github_account = 'dftbplus'
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source_urls = [GITHUB_SOURCE]
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sources = ['%(version)s.tar.gz']
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patches = ['dftd3-lib-%(version)s_fix-extras-syntax.patch']
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checksums = [
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'4178f3cf2f3e7e982a7084ec66bac92b4fdf164537d9fc0ada840a11b784f0e0',
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# 'db61bc6c7c699628e8c5bf2018ea38de03a53eac38014e06845829d765caf6bb',
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'717e719170258544555bfc33390a70c2573d971c6548d8f2c951a5606ec77f74',
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]
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parallel = 1
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buildopts = 'FC="$FC" FCFLAGS="$FCFLAGS" LNFLAGS="$LDFLAGS"'
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files_to_copy = [
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(['prg/dftd3', 'test/testapi'], 'bin'),
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(['lib/libdftd3.a'], 'lib'),
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(['lib/*.mod', 'prg/*.mod'], 'include'),
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(['doc/man.pdf', 'CHANGELOG.rst', 'LICENSE', 'README.rst'], 'share'),
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]
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sanity_check_paths = {
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'files': ['bin/dftd3', 'bin/testapi', 'lib/libdftd3.a'],
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'dirs': ['include', 'share'],
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}
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moduleclass = 'chem'
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28
f/fypp/fypp-3.2-foss-2023a.eb
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28
f/fypp/fypp-3.2-foss-2023a.eb
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# IT4Innovations
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# PH 2024
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easyblock = 'PythonPackage'
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name = 'fypp'
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version = '3.2'
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homepage = 'https://github.com/aradi/fypp'
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description = """Fypp is a Python-based preprocessor for Fortran, enabling conditional
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compilation and template metaprogramming with Python expressions. It enhances Fortran
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development by allowing flexible macros, file inclusion, and conditional output."""
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# https://github.com/aradi/fypp/archive/refs/tags/3.2.tar.gz
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source_urls = ['https://github.com/aradi/fypp/archive/refs/tags/']
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sources = [f'{version}.tar.gz']
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checksums = ['33f48c8d2337db539865265ce33c7c50e4d521aacbd31ac7b7e8b189d771ce1d']
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toolchain = {'name': 'foss', 'version': '2023a'}
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dependencies = [
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('Python', '3.11.3')
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]
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use_pip = True
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moduleclass = 'lib'
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243
p/PyTorch/PyTorch-2.4.1-foss-2023b-CUDA-12.4.0.eb
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243
p/PyTorch/PyTorch-2.4.1-foss-2023b-CUDA-12.4.0.eb
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@ -0,0 +1,243 @@
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# IT4Innovations
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# PH 2024
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name = 'PyTorch'
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version = '2.4.1'
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versionsuffix = '-CUDA-%(cudaver)s'
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homepage = 'https://pytorch.org/'
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description = """Tensors and Dynamic neural networks in Python with strong GPU acceleration.
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PyTorch is a deep learning framework that puts Python first."""
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toolchain = {'name': 'foss', 'version': '2023b'}
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source_urls = [GITHUB_RELEASE]
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sources = ['%(namelower)s-v%(version)s.tar.gz']
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patches = [
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'PyTorch-1.7.0_disable-dev-shm-test.patch',
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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-1.12.1_fix-test_cpp_extensions_jit.patch',
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'PyTorch-1.12.1_fix-TestTorch.test_to.patch',
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'PyTorch-1.12.1_skip-test_round_robin.patch',
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'PyTorch-1.13.1_fix-gcc-12-warning-in-fbgemm.patch',
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'PyTorch-1.13.1_fix-protobuf-dependency.patch',
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'PyTorch-1.13.1_fix-warning-in-test-cpp-api.patch',
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'PyTorch-1.13.1_skip-failing-singular-grad-test.patch',
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'PyTorch-1.13.1_skip-tests-without-fbgemm.patch',
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'PyTorch-2.0.1_avoid-test_quantization-failures.patch',
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'PyTorch-2.0.1_fix-skip-decorators.patch',
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'PyTorch-2.0.1_fix-ub-in-inductor-codegen.patch',
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'PyTorch-2.0.1_fix-vsx-loadu.patch',
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'PyTorch-2.0.1_no-cuda-stubs-rpath.patch',
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'PyTorch-2.0.1_skip-failing-gradtest.patch',
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'PyTorch-2.0.1_skip-test_shuffle_reproducibility.patch',
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'PyTorch-2.0.1_skip-tests-skipped-in-subprocess.patch',
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'PyTorch-2.1.0_disable-gcc12-warning.patch',
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'PyTorch-2.1.0_disable-cudnn-tf32-for-too-strict-tests.patch',
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'PyTorch-2.1.0_fix-bufferoverflow-in-oneDNN.patch',
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'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_fix-vsx-vector-shift-functions.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',
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'PyTorch-2.1.0_remove-test-requiring-online-access.patch',
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'PyTorch-2.1.0_skip-diff-test-on-ppc.patch',
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'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',
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'PyTorch-2.1.2_add-cuda-skip-markers.patch',
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'PyTorch-2.1.2_fix-conj-mismatch-test-failures.patch',
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'PyTorch-2.1.2_fix-device-mesh-check.patch',
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'PyTorch-2.1.2_fix-locale-issue-in-nvrtcCompileProgram.patch',
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'PyTorch-2.1.2_fix-test_extension_backend-without-vectorization.patch',
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'PyTorch-2.1.2_fix-test_memory_profiler.patch',
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'PyTorch-2.1.2_fix-test_torchinductor-rounding.patch',
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'PyTorch-2.1.2_fix-vsx-vector-abs.patch',
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'PyTorch-2.1.2_fix-vsx-vector-div.patch',
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'PyTorch-2.1.2_fix-with_temp_dir-decorator.patch',
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'PyTorch-2.1.2_fix-wrong-device-mesh-size-in-tests.patch',
|
||||
'PyTorch-2.1.2_relax-cuda-tolerances.patch',
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||||
'PyTorch-2.1.2_remove-nccl-backend-default-without-gpus.patch',
|
||||
'PyTorch-2.1.2_skip-cpu_repro-test-without-vectorization.patch',
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'PyTorch-2.1.2_skip-failing-test_dtensor_ops-subtests.patch',
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'PyTorch-2.1.2_skip-memory-leak-test.patch',
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'PyTorch-2.1.2_skip-test_fsdp_tp_checkpoint_integration.patch',
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||||
'PyTorch-2.1.2_workaround_dynamo_failure_without_nnpack.patch',
|
||||
]
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checksums = [
|
||||
{'pytorch-v2.4.1.tar.gz': '39666a43c0c10f5fd46c1a7ca95dc74d3bc39de2678b70066481cbf02e58384f'},
|
||||
{'PyTorch-1.7.0_disable-dev-shm-test.patch': '622cb1eaeadc06e13128a862d9946bcc1f1edd3d02b259c56a9aecc4d5406b8a'},
|
||||
#{'PyTorch-1.11.1_skip-test_init_from_local_shards.patch':
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||||
# '4aeb1b0bc863d4801b0095cbce69f8794066748f0df27c6aaaf729c5ecba04b7'},
|
||||
{'PyTorch-1.12.1_add-hypothesis-suppression.patch':
|
||||
'e71ffb94ebe69f580fa70e0de84017058325fdff944866d6bd03463626edc32c'},
|
||||
#{'PyTorch-1.12.1_fix-test_cpp_extensions_jit.patch':
|
||||
# '1efc9850c431d702e9117d4766277d3f88c5c8b3870997c9974971bce7f2ab83'},
|
||||
{'PyTorch-1.12.1_fix-TestTorch.test_to.patch': '75f27987c3f25c501e719bd2b1c70a029ae0ee28514a97fe447516aee02b1535'},
|
||||
{'PyTorch-1.12.1_skip-test_round_robin.patch': '63d4849b78605aa088fdff695637d9473ea60dee603a3ff7f788690d70c55349'},
|
||||
{'PyTorch-1.13.1_fix-gcc-12-warning-in-fbgemm.patch':
|
||||
'5c7be91a6096083a0b1315efe0001537499c600f1f569953c6a2c7f4cc1d0910'},
|
||||
{'PyTorch-1.13.1_fix-protobuf-dependency.patch':
|
||||
'8bd755a0cab7233a243bc65ca57c9630dfccdc9bf8c9792f0de4e07a644fcb00'},
|
||||
{'PyTorch-1.13.1_fix-warning-in-test-cpp-api.patch':
|
||||
'bdde0f2105215c95a54de64ec4b1a4520528510663174fef6d5b900eb1db3937'},
|
||||
{'PyTorch-1.13.1_skip-failing-singular-grad-test.patch':
|
||||
'72688a57b2bb617665ad1a1d5e362c5111ae912c10936bb38a089c0204729f48'},
|
||||
{'PyTorch-1.13.1_skip-tests-without-fbgemm.patch':
|
||||
'481e595f673baf8ae58b41697a6792b83048b0264aa79b422f48cd8c22948bb7'},
|
||||
{'PyTorch-2.0.1_avoid-test_quantization-failures.patch':
|
||||
'02e3f47e4ed1d7d6077e26f1ae50073dc2b20426269930b505f4aefe5d2f33cd'},
|
||||
{'PyTorch-2.0.1_fix-skip-decorators.patch': '2039012cef45446065e1a2097839fe20bb29fe3c1dcc926c3695ebf29832e920'},
|
||||
{'PyTorch-2.0.1_fix-ub-in-inductor-codegen.patch':
|
||||
'1b37194f55ae678f3657b8728dfb896c18ffe8babe90987ce468c4fa9274f357'},
|
||||
{'PyTorch-2.0.1_fix-vsx-loadu.patch': 'a0ffa61da2d47c6acd09aaf6d4791e527d8919a6f4f1aa7ed38454cdcadb1f72'},
|
||||
{'PyTorch-2.0.1_no-cuda-stubs-rpath.patch': '8902e58a762240f24cdbf0182e99ccdfc2a93492869352fcb4ca0ec7e407f83a'},
|
||||
{'PyTorch-2.0.1_skip-failing-gradtest.patch': '8030bdec6ba49b057ab232d19a7f1a5e542e47e2ec340653a246ec9ed59f8bc1'},
|
||||
{'PyTorch-2.0.1_skip-test_shuffle_reproducibility.patch':
|
||||
'7047862abc1abaff62954da59700f36d4f39fcf83167a638183b1b7f8fec78ae'},
|
||||
{'PyTorch-2.0.1_skip-tests-skipped-in-subprocess.patch':
|
||||
'166c134573a95230e39b9ea09ece3ad8072f39d370c9a88fb2a1e24f6aaac2b5'},
|
||||
{'PyTorch-2.1.0_disable-gcc12-warning.patch': 'c858b8db0010f41005dc06f9a50768d0d3dc2d2d499ccbdd5faf8a518869a421'},
|
||||
{'PyTorch-2.1.0_disable-cudnn-tf32-for-too-strict-tests.patch':
|
||||
'd895018ebdfd46e65d9f7645444a3b4c5bbfe3d533a08db559a04be34e01e478'},
|
||||
{'PyTorch-2.1.0_fix-bufferoverflow-in-oneDNN.patch':
|
||||
'b15b1291a3c37bf6a4982cfbb3483f693acb46a67bc0912b383fd98baf540ccf'},
|
||||
{'PyTorch-2.1.0_fix-test_numpy_torch_operators.patch':
|
||||
'84bb51a719abc677031a7a3dfe4382ff098b0cbd8b39b8bed2a7fa03f80ac1e9'},
|
||||
{'PyTorch-2.1.0_fix-validationError-output-test.patch':
|
||||
'7eba0942afb121ed92fac30d1529447d892a89eb3d53c565f8e9d480e95f692b'},
|
||||
{'PyTorch-2.1.0_fix-vsx-vector-shift-functions.patch':
|
||||
'3793b4b878be1abe7791efcbd534774b87862cfe7dc4774ca8729b6cabb39e7e'},
|
||||
{'PyTorch-2.1.0_increase-tolerance-functorch-test_vmapvjpvjp.patch':
|
||||
'aef38adf1210d0c5455e91d7c7a9d9e5caad3ae568301e0ba9fc204309438e7b'},
|
||||
{'PyTorch-2.1.0_remove-sparse-csr-nnz-overflow-test.patch':
|
||||
'0ac36411e76506b3354c85a8a1260987f66af947ee52ffc64230aee1fa02ea8b'},
|
||||
{'PyTorch-2.1.0_remove-test-requiring-online-access.patch':
|
||||
'35184b8c5a1b10f79e511cc25db3b8a5585a5d58b5d1aa25dd3d250200b14fd7'},
|
||||
{'PyTorch-2.1.0_skip-diff-test-on-ppc.patch': '394157dbe565ffcbc1821cd63d05930957412156cc01e949ef3d3524176a1dda'},
|
||||
{'PyTorch-2.1.0_skip-dynamo-test_predispatch.patch':
|
||||
'6298daf9ddaa8542850eee9ea005f28594ab65b1f87af43d8aeca1579a8c4354'},
|
||||
{'PyTorch-2.1.0_skip-test_jvp_linalg_det_singular.patch':
|
||||
'5229ca88a71db7667a90ddc0b809b2c817698bd6e9c5aaabd73d3173cf9b99fe'},
|
||||
{'PyTorch-2.1.0_skip-test_linear_fp32-without-MKL.patch':
|
||||
'5dcc79883b6e3ec0a281a8e110db5e0a5880de843bb05653589891f16473ead5'},
|
||||
{'PyTorch-2.1.0_skip-test_wrap_bad.patch': 'b8583125ee94e553b6f77c4ab4bfa812b89416175dc7e9b7390919f3b485cb63'},
|
||||
{'PyTorch-2.1.2_add-cuda-skip-markers.patch': 'd007d6d0cdb533e7d01f503e9055218760123a67c1841c57585385144be18c9a'},
|
||||
{'PyTorch-2.1.2_fix-conj-mismatch-test-failures.patch':
|
||||
'c164357efa4ce88095376e590ba508fc1daa87161e1e59544eda56daac7f2847'},
|
||||
{'PyTorch-2.1.2_fix-device-mesh-check.patch': 'c0efc288bf3d9a9a3c8bbd2691348a589a2677ea43880a8c987db91c8de4806b'},
|
||||
{'PyTorch-2.1.2_fix-locale-issue-in-nvrtcCompileProgram.patch':
|
||||
'f7adafb4e4d3b724b93237a259797b6ed6f535f83be0e34a7b759c71c6a8ddf2'},
|
||||
{'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_fix-with_temp_dir-decorator.patch':
|
||||
'90bd001e034095329277d70c6facc4026b4ce6d7f8b8d6aa81c0176eeb462eb1'},
|
||||
{'PyTorch-2.1.2_fix-wrong-device-mesh-size-in-tests.patch':
|
||||
'07a5e4233d02fb6348872838f4d69573c777899c6f0ea4e39ae23c08660d41e5'},
|
||||
{'PyTorch-2.1.2_relax-cuda-tolerances.patch': '554ad09787f61080fafdb84216e711e32327aa357e2a9c40bb428eb6503dee6e'},
|
||||
{'PyTorch-2.1.2_remove-nccl-backend-default-without-gpus.patch':
|
||||
'e6a1efe3d127fcbf4723476a7a1c01cfcf2ccb16d1fb250f478192623e8b6a15'},
|
||||
{'PyTorch-2.1.2_skip-cpu_repro-test-without-vectorization.patch':
|
||||
'7ace835af60c58d9e0754a34c19d4b9a0c3a531f19e5d0eba8e2e49206eaa7eb'},
|
||||
{'PyTorch-2.1.2_skip-failing-test_dtensor_ops-subtests.patch':
|
||||
'6cf711bf26518550903b09ed4431de9319791e79d61aab065785d6608fd5cc88'},
|
||||
{'PyTorch-2.1.2_skip-memory-leak-test.patch': '8d9841208e8a00a498295018aead380c360cf56e500ef23ca740adb5b36de142'},
|
||||
{'PyTorch-2.1.2_skip-test_fsdp_tp_checkpoint_integration.patch':
|
||||
'943ee92f5fd518f608a59e43fe426b9bb45d7e7ad0ba04639e516db2d61fa57d'},
|
||||
{'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 = [
|
||||
('CUDA', '12.4.0', '', SYSTEM),
|
||||
('cuDNN', '8.9.7.29', '-CUDA-%(cudaver)s', SYSTEM),
|
||||
('magma', '2.7.2', '-CUDA-%(cudaver)s'),
|
||||
('NCCL', '2.20.5', '-CUDA-%(cudaver)s'),
|
||||
('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',
|
||||
# Broken test, can't ever succeed, see https://github.com/pytorch/pytorch/issues/122184
|
||||
'distributed/tensor/parallel/test_tp_random_state',
|
||||
# failures on OmniPath systems, which don't support some optional InfiniBand features
|
||||
# See https://github.com/pytorch/tensorpipe/issues/413
|
||||
'distributed/pipeline/sync/skip/test_gpipe',
|
||||
'distributed/pipeline/sync/skip/test_leak',
|
||||
'distributed/pipeline/sync/test_bugs',
|
||||
'distributed/pipeline/sync/test_inplace',
|
||||
'distributed/pipeline/sync/test_pipe',
|
||||
'distributed/pipeline/sync/test_transparency',
|
||||
]
|
||||
}
|
||||
|
||||
cuda_compute_capabilities = ['8.0'] # NVIDIA A100-SXM4-40GB, 8.0
|
||||
|
||||
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
|
||||
# test_nn is also prone to spurious failures: https://github.com/pytorch/pytorch/issues/118294
|
||||
# So allow a low number of tests to fail as the tests "usually" succeed
|
||||
max_failed_tests = 2
|
||||
|
||||
# The readelf sanity check command can be taken out once the TestRPATH test from
|
||||
# https://github.com/pytorch/pytorch/pull/109493 is accepted, since it is then checked as part of the PyTorch test suite
|
||||
local_libcaffe2 = "$EBROOTPYTORCH/lib/python%%(pyshortver)s/site-packages/torch/lib/libcaffe2_nvrtc.%s" % SHLIB_EXT
|
||||
sanity_check_commands = [
|
||||
"readelf -d %s | egrep 'RPATH|RUNPATH' | grep -v stubs" % local_libcaffe2,
|
||||
]
|
||||
|
||||
tests = ['PyTorch-check-cpp-extension.py']
|
||||
|
||||
moduleclass = 'ai'
|
||||
26
t/tblite/tblite-0.3.0-foss-2023a.eb
Normal file
26
t/tblite/tblite-0.3.0-foss-2023a.eb
Normal file
@ -0,0 +1,26 @@
|
||||
# IT4Innovations
|
||||
# PH 2024
|
||||
|
||||
easyblock = 'CMakeMake'
|
||||
|
||||
name = 'tblite'
|
||||
version = '0.3.0'
|
||||
|
||||
homepage = 'http://www.example.com'
|
||||
description = """This project is an effort to create a library implementation of the extended tight binding (xTB) Hamiltonian which can be shared between xtb and dftb+. The current state of this project should be considered as highly experimental."""
|
||||
|
||||
toolchain = {'name': 'foss', 'version': '2023a'}
|
||||
|
||||
import os
|
||||
if os.environ.get("CLUSTERNAME") in ["KAROLINA"]:
|
||||
toolchainopts = {'optarch': 'march=core-avx2'}
|
||||
|
||||
source_urls = ['https://github.com/tblite/tblite/archive/refs/tags/']
|
||||
sources = ['v%(version)s.tar.gz']
|
||||
checksums = ['44b6ecff94b29c109f7d1afa3f49eebd3979a2b115fc7bab0c9fc1d7e61bdc27']
|
||||
|
||||
builddependencies = [
|
||||
('CMake', '3.26.3'),
|
||||
]
|
||||
|
||||
moduleclass = 'lib'
|
||||
26
t/tblite/tblite-0.4.0-foss-2023a.eb
Normal file
26
t/tblite/tblite-0.4.0-foss-2023a.eb
Normal file
@ -0,0 +1,26 @@
|
||||
# IT4Innovations
|
||||
# PH 2024
|
||||
|
||||
easyblock = 'CMakeMake'
|
||||
|
||||
name = 'tblite'
|
||||
version = '0.4.0'
|
||||
|
||||
homepage = 'https://github.com/tblite/tblite'
|
||||
description = """This project is an effort to create a library implementation of the extended tight binding (xTB) Hamiltonian which can be shared between xtb and dftb+. The current state of this project should be considered as highly experimental."""
|
||||
|
||||
toolchain = {'name': 'foss', 'version': '2023a'}
|
||||
|
||||
import os
|
||||
if os.environ.get("CLUSTERNAME") in ["KAROLINA"]:
|
||||
toolchainopts = {'optarch': 'march=core-avx2'}
|
||||
|
||||
source_urls = ['https://github.com/tblite/tblite/archive/refs/tags/']
|
||||
sources = ['v%(version)s.tar.gz']
|
||||
checksums = ['c4a67dfbe04827095fd7598183e076fa3017a5a475c4f90fd28e78992dc19ea7'] # tblite-0.4.0.tar.gz
|
||||
|
||||
builddependencies = [
|
||||
('CMake', '3.26.3'),
|
||||
]
|
||||
|
||||
moduleclass = 'lib'
|
||||
Loading…
x
Reference in New Issue
Block a user