{ai}[foss/2022a] PyTorch v2.1.2 w/ CUDA 11.7.0 by Flamefire · Pull Request #21690 · easybuilders/easybuild-easyconfigs

Flamefire · 2024-10-17T14:27:34Z

(created using eb --new-pr)

Requires:

{tools}[GCCcore/10.3.0 - 14.2.0] unittest-xml-reporting v3.1.0, lxml v5.3.0, libxslt v1.1.42 #22205

Flamefire · 2024-10-17T20:23:48Z

Test report by @Flamefire
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
n1069 - Linux RHEL 8.9 (Ootpa), x86_64, Intel(R) Xeon(R) Platinum 8470 (icelake), Python 3.8.17
See https://gist.github.com/Flamefire/7d92c53ec4ff113f15aca3227ffb7a70 for a full test report.

Flamefire · 2024-10-18T04:18:15Z

Test report by @Flamefire
FAILED
Build succeeded for 0 out of 1 (1 easyconfigs in total)
i8006 - Linux Rocky Linux 8.9 (Green Obsidian), x86_64, AMD EPYC 7352 24-Core Processor (zen2), 8 x NVIDIA NVIDIA A100-SXM4-40GB, 555.42.06, Python 3.8.17
See https://gist.github.com/Flamefire/594b505ba13b42102dd4bc1314217979 for a full test report.

Flamefire · 2024-10-26T14:36:11Z

Test report by @Flamefire
FAILED
Build succeeded for 0 out of 1 (1 easyconfigs in total)
ml6 - Linux AlmaLinux 8.7 (Stone Smilodon), POWER, 8335-GTX (power9le), 6 x NVIDIA Tesla V100-SXM2-32GB, 530.30.02, Python 3.8.13
See https://gist.github.com/Flamefire/ce36733fa874d4f4dea9cdbb110423d0 for a full test report.

github-actions · 2024-11-19T15:45:50Z

Updated software `PyTorch-2.1.2-foss-2022a-CUDA-11.7.0.eb`

Diff against PyTorch-2.3.0-foss-2023b.eb

easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0-foss-2023b.eb

diff --git a/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0-foss-2023b.eb b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.1.2-foss-2022a-CUDA-11.7.0.eb
index 308397336a..515a5b6c8b 100644
--- a/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0-foss-2023b.eb
+++ b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.1.2-foss-2022a-CUDA-11.7.0.eb
@@ -1,16 +1,18 @@
 name = 'PyTorch'
-version = '2.3.0'
+version = '2.1.2'
+versionsuffix = '-CUDA-%(cudaver)s'
 
 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'}
+toolchain = {'name': 'foss', 'version': '2022a'}
 
 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',
@@ -22,34 +24,51 @@ patches = [
     '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-cudnn-tf32-for-too-strict-tests.patch',
+    'PyTorch-2.1.0_fix-bufferoverflow-in-oneDNN.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_add-cuda-skip-markers.patch',
+    'PyTorch-2.1.2_fix-conj-mismatch-test-failures.patch',
+    'PyTorch-2.1.2_fix-device-mesh-check.patch',
+    'PyTorch-2.1.2_fix-fsdp-tp-integration-test.patch',
+    ('PyTorch-2.1.2_fix-kineto-cuda-11.7-compat.patch', 'third_party/kineto'),
+    'PyTorch-2.1.2_fix-test_cuda-non-x86.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_parallelize_api.patch',
+    'PyTorch-2.1.2_fix-test-tp_random_state.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_fix-with_temp_dir-decorator.patch',
+    'PyTorch-2.1.2_fix-wrong-device-mesh-size-in-tests.patch',
+    'PyTorch-2.1.2_relax-cuda-tolerances.patch',
+    'PyTorch-2.1.2_remove-nccl-backend-default-without-gpus.patch',
     'PyTorch-2.1.2_skip-cpu_repro-test-without-vectorization.patch',
+    'PyTorch-2.1.2_skip-failing-test_dtensor_ops-subtests.patch',
+    'PyTorch-2.1.2_skip-test_fsdp_tp_checkpoint_integration.patch',
     'PyTorch-2.1.2_workaround_dynamo_failure_without_nnpack.patch',
-    'PyTorch-2.3.0_disable_test_linear_package_if_no_half_types_are_available.patch',
-    'PyTorch-2.3.0_disable_DataType_dependent_test_if_tensorboard_is_not_available.patch',
-    'PyTorch-2.3.0_skip-test_init_from_local_shards.patch',
-    'PyTorch-2.3.0_no-cuda-stubs-rpath.patch',
-    'PyTorch-2.3.0_disable-gcc12-warning.patch',
-    'PyTorch-2.3.0_fix-test_extension_backend-without-vectorization.patch',
-    'PyTorch-2.3.0_disable_tests_which_need_network_download.patch',
-    'PyTorch-2.3.0_avoid_caffe2_test_cpp_jit.patch',
-    'PyTorch-2.3.0_fix_missing_masked_load_for_int_type.patch',
-    'PyTorch-2.3.0_skip_test_var_mean_differentiable.patch',
-    'PyTorch-2.3.0_skip_test_sdpa_nn_functional_scaled_dot_product_attention_cpu.patch',
-    'PyTorch-2.3.0_fix-mkldnn-avx512-f32-bias.patch',
 ]
 checksums = [
-    {'pytorch-v2.3.0.tar.gz': '69579513b26261bbab32e13b7efc99ad287fcf3103087f2d4fdf1adacd25316f'},
+    {'pytorch-v2.1.2.tar.gz': '85effbcce037bffa290aea775c9a4bad5f769cb229583450c40055501ee1acd7'},
     {'PyTorch-1.7.0_disable-dev-shm-test.patch': '622cb1eaeadc06e13128a862d9946bcc1f1edd3d02b259c56a9aecc4d5406b8a'},
+    {'PyTorch-1.11.1_skip-test_init_from_local_shards.patch':
+     '4aeb1b0bc863d4801b0095cbce69f8794066748f0df27c6aaaf729c5ecba04b7'},
     {'PyTorch-1.12.1_add-hypothesis-suppression.patch':
      'e71ffb94ebe69f580fa70e0de84017058325fdff944866d6bd03463626edc32c'},
     {'PyTorch-1.12.1_fix-test_cpp_extensions_jit.patch':
@@ -69,16 +88,27 @@ checksums = [
     {'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-cudnn-tf32-for-too-strict-tests.patch':
+     'd895018ebdfd46e65d9f7645444a3b4c5bbfe3d533a08db559a04be34e01e478'},
+    {'PyTorch-2.1.0_fix-bufferoverflow-in-oneDNN.patch':
+     'b15b1291a3c37bf6a4982cfbb3483f693acb46a67bc0912b383fd98baf540ccf'},
+    {'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'},
@@ -86,68 +116,82 @@ checksums = [
      '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-fsdp-tp-integration-test.patch':
+     'f583532c59f35f36998851957d501b3ac8c883884efd61bbaa308db55cb6bdcd'},
+    {'PyTorch-2.1.2_fix-kineto-cuda-11.7-compat.patch':
+     '742f8e9b911b6cde19cdc05804d60a043e7cb936e994e66a6fe6a9490c53e34f'},
+    {'PyTorch-2.1.2_fix-test_cuda-non-x86.patch': '1ed76fcc87e6c50606ac286487292a3d534707068c94af74c3a5de8153fa2c2c'},
+    {'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_parallelize_api.patch':
+     'f8387a1693af344099c806981ca38df1306d7f4847d7d44713306338384b1cfd'},
+    {'PyTorch-2.1.2_fix-test-tp_random_state.patch':
+     'da352e32471ae9a68920c91a122c7194f3c53d947536116e33216d3ae6b15e61'},
+    {'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-test_fsdp_tp_checkpoint_integration.patch':
+     '943ee92f5fd518f608a59e43fe426b9bb45d7e7ad0ba04639e516db2d61fa57d'},
     {'PyTorch-2.1.2_workaround_dynamo_failure_without_nnpack.patch':
      'fb96eefabf394617bbb3fbd3a7a7c1aa5991b3836edc2e5d2a30e708bfe49ba1'},
-    {'PyTorch-2.3.0_disable_test_linear_package_if_no_half_types_are_available.patch':
-     '23416f2d9d5226695ec3fbea0671e3650c655c19deefd3f0f8ddab5afa50f485'},
-    {'PyTorch-2.3.0_disable_DataType_dependent_test_if_tensorboard_is_not_available.patch':
-     '0dcbdfde6752c3ff54c5376f521b4a742167669feb7f0f1d4e1d4d55f72b664f'},
-    {'PyTorch-2.3.0_skip-test_init_from_local_shards.patch':
-     '90ed9c2870f57ee6dc032d00873a37e2217a2b92a13035ded1c25ad5306455f2'},
-    {'PyTorch-2.3.0_no-cuda-stubs-rpath.patch':
-     '7ba26824b5def7379cff02ae821a080698e6affea0da45bc846e9ecb89939cb1'},
-    {'PyTorch-2.3.0_disable-gcc12-warning.patch':
-     'a8a624e1a2a5f4c82610173e50bd0f853e49bd5621b432f5aac689f9f6eb1514'},
-    {'PyTorch-2.3.0_fix-test_extension_backend-without-vectorization.patch':
-     '36aa2d5ba175be17f4e996f4fb2d544fe477d4a0bd0644cd59a85063779afc8e'},
-    {'PyTorch-2.3.0_disable_tests_which_need_network_download.patch':
-     'b7fd1a5135dfd4098cdc054182f7bf84a23ac98462a00477712182b5442da855'},
-    {'PyTorch-2.3.0_avoid_caffe2_test_cpp_jit.patch':
-     '041adcd91d994b8c2ab57d227f081cd57e572c157117b37171e1eb8eb576f8fc'},
-    {'PyTorch-2.3.0_fix_missing_masked_load_for_int_type.patch':
-     'aa6ff764f3f7bf84372a8a257fe1b4ae6dc4b9744ad35f0f9015f2696c62a41e'},
-    {'PyTorch-2.3.0_skip_test_var_mean_differentiable.patch':
-     '9703fd0f1fca8916f6d79d83e9a7efe8e3f717362a5fdaa8f5d9da90d0c75018'},
-    {'PyTorch-2.3.0_skip_test_sdpa_nn_functional_scaled_dot_product_attention_cpu.patch':
-     '7955f2655db3da18606574fdcbc5990be24098f49ad1db5e86ea756ea1cc506f'},
-    {'PyTorch-2.3.0_fix-mkldnn-avx512-f32-bias.patch':
-     'ee07d21c3ac7aeb0bd0e39507b18a417b9125284a529102929c4b5c6727c2976'},
 ]
 
 osdependencies = [OS_PKG_IBVERBS_DEV]
 
 builddependencies = [
-    ('CMake', '3.27.6'),
-    ('hypothesis', '6.90.0'),
+    ('CMake', '3.23.1'),
+    ('hypothesis', '6.46.7'),
     # For tests
     ('pytest-flakefinder', '1.1.0'),
-    ('pytest-rerunfailures', '14.0'),
+    ('pytest-rerunfailures', '11.1'),
     ('pytest-shard', '0.1.2'),
-    ('tlparse', '0.3.5'),
-    ('optree', '0.13.0'),
+    ('pytest-xdist', '2.5.0'),
     ('unittest-xml-reporting', '3.1.0'),
 ]
 
 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',),
+    ('CUDA', '11.7.0', '', SYSTEM),
+    ('cuDNN', '8.4.1.50', '-CUDA-%(cudaver)s', SYSTEM),
+    ('magma', '2.6.2', '-CUDA-%(cudaver)s'),
+    ('NCCL', '2.12.12', '-CUDA-%(cudaver)s'),
+    ('Ninja', '1.10.2'),  # Required for JIT compilation of C++ extensions
+    ('Python', '3.10.4'),
+    ('protobuf', '3.19.4'),
+    ('protobuf-python', '3.19.4'),
+    ('pybind11', '2.9.2'),
+    ('SciPy-bundle', '2022.05'),
+    ('typing-extensions', '4.3.0'),
+    ('PyYAML', '6.0'),
+    ('MPFR', '4.1.0'),
+    ('GMP', '6.2.1'),
+    ('numactl', '2.0.14'),
+    ('FFmpeg', '4.4.2'),
+    ('Pillow', '9.1.1'),
+    ('expecttest', '0.1.3'),
+    ('networkx', '2.8.4'),
+    ('sympy', '1.10.1'),
+    ('Z3', '4.10.2', '-Python-%(pyver)s'),
 ]
 
 buildcmd = '%(python)s setup.py build'  # Run the (long) build in the build step
@@ -166,24 +210,22 @@ excluded_tests = {
         # intermittent failures on various systems
         # See https://github.com/easybuilders/easybuild-easyconfigs/issues/17712
         'distributed/rpc/test_tensorpipe_agent',
-        # This test is expected to fail when run in their CI, but won't in our case.
-        # It just checks for a "CI" env variable
-        'test_ci_sanity_check_fail',
-        # This fails consistently and is disabled upstream
-        # See https://github.com/pytorch/pytorch/issues/100152 and
-        # https://github.com/pytorch/pytorch/pull/124712
-        'test_cpp_extensions_open_device_registration',
-
     ]
 }
 
-local_test_opts = '--continue-through-error --pipe-logs --verbose %(excluded_tests)s'
-runtest = 'cd test && PYTHONUNBUFFERED=1 %(python)s run_test.py ' + local_test_opts
+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 = 6
+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']

Diff against PyTorch-2.1.2-foss-2023b.eb

easybuild/easyconfigs/p/PyTorch/PyTorch-2.1.2-foss-2023b.eb

diff --git a/easybuild/easyconfigs/p/PyTorch/PyTorch-2.1.2-foss-2023b.eb b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.1.2-foss-2022a-CUDA-11.7.0.eb
index b4b25bd33e..515a5b6c8b 100644
--- a/easybuild/easyconfigs/p/PyTorch/PyTorch-2.1.2-foss-2023b.eb
+++ b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.1.2-foss-2022a-CUDA-11.7.0.eb
@@ -1,11 +1,12 @@
 name = 'PyTorch'
 version = '2.1.2'
+versionsuffix = '-CUDA-%(cudaver)s'
 
 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'}
+toolchain = {'name': 'foss', 'version': '2022a'}
 
 source_urls = [GITHUB_RELEASE]
 sources = ['%(namelower)s-v%(version)s.tar.gz']
@@ -29,9 +30,8 @@ patches = [
     '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_disable-cudnn-tf32-for-too-strict-tests.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',
@@ -42,13 +42,26 @@ patches = [
     '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_add-cuda-skip-markers.patch',
+    'PyTorch-2.1.2_fix-conj-mismatch-test-failures.patch',
+    'PyTorch-2.1.2_fix-device-mesh-check.patch',
+    'PyTorch-2.1.2_fix-fsdp-tp-integration-test.patch',
+    ('PyTorch-2.1.2_fix-kineto-cuda-11.7-compat.patch', 'third_party/kineto'),
+    'PyTorch-2.1.2_fix-test_cuda-non-x86.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_parallelize_api.patch',
+    'PyTorch-2.1.2_fix-test-tp_random_state.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_fix-with_temp_dir-decorator.patch',
+    'PyTorch-2.1.2_fix-wrong-device-mesh-size-in-tests.patch',
+    'PyTorch-2.1.2_relax-cuda-tolerances.patch',
+    'PyTorch-2.1.2_remove-nccl-backend-default-without-gpus.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_skip-failing-test_dtensor_ops-subtests.patch',
+    'PyTorch-2.1.2_skip-test_fsdp_tp_checkpoint_integration.patch',
     'PyTorch-2.1.2_workaround_dynamo_failure_without_nnpack.patch',
 ]
 checksums = [
@@ -84,11 +97,10 @@ checksums = [
      '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':
@@ -107,17 +119,40 @@ checksums = [
     {'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-fsdp-tp-integration-test.patch':
+     'f583532c59f35f36998851957d501b3ac8c883884efd61bbaa308db55cb6bdcd'},
+    {'PyTorch-2.1.2_fix-kineto-cuda-11.7-compat.patch':
+     '742f8e9b911b6cde19cdc05804d60a043e7cb936e994e66a6fe6a9490c53e34f'},
+    {'PyTorch-2.1.2_fix-test_cuda-non-x86.patch': '1ed76fcc87e6c50606ac286487292a3d534707068c94af74c3a5de8153fa2c2c'},
     {'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_parallelize_api.patch':
+     'f8387a1693af344099c806981ca38df1306d7f4847d7d44713306338384b1cfd'},
+    {'PyTorch-2.1.2_fix-test-tp_random_state.patch':
+     'da352e32471ae9a68920c91a122c7194f3c53d947536116e33216d3ae6b15e61'},
     {'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-memory-leak-test.patch': '8d9841208e8a00a498295018aead380c360cf56e500ef23ca740adb5b36de142'},
+    {'PyTorch-2.1.2_skip-failing-test_dtensor_ops-subtests.patch':
+     '6cf711bf26518550903b09ed4431de9319791e79d61aab065785d6608fd5cc88'},
+    {'PyTorch-2.1.2_skip-test_fsdp_tp_checkpoint_integration.patch':
+     '943ee92f5fd518f608a59e43fe426b9bb45d7e7ad0ba04639e516db2d61fa57d'},
     {'PyTorch-2.1.2_workaround_dynamo_failure_without_nnpack.patch':
      'fb96eefabf394617bbb3fbd3a7a7c1aa5991b3836edc2e5d2a30e708bfe49ba1'},
 ]
@@ -125,32 +160,38 @@ checksums = [
 osdependencies = [OS_PKG_IBVERBS_DEV]
 
 builddependencies = [
-    ('CMake', '3.27.6'),
-    ('hypothesis', '6.90.0'),
+    ('CMake', '3.23.1'),
+    ('hypothesis', '6.46.7'),
     # For tests
     ('pytest-flakefinder', '1.1.0'),
-    ('pytest-rerunfailures', '14.0'),
+    ('pytest-rerunfailures', '11.1'),
     ('pytest-shard', '0.1.2'),
+    ('pytest-xdist', '2.5.0'),
+    ('unittest-xml-reporting', '3.1.0'),
 ]
 
 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',),
+    ('CUDA', '11.7.0', '', SYSTEM),
+    ('cuDNN', '8.4.1.50', '-CUDA-%(cudaver)s', SYSTEM),
+    ('magma', '2.6.2', '-CUDA-%(cudaver)s'),
+    ('NCCL', '2.12.12', '-CUDA-%(cudaver)s'),
+    ('Ninja', '1.10.2'),  # Required for JIT compilation of C++ extensions
+    ('Python', '3.10.4'),
+    ('protobuf', '3.19.4'),
+    ('protobuf-python', '3.19.4'),
+    ('pybind11', '2.9.2'),
+    ('SciPy-bundle', '2022.05'),
+    ('typing-extensions', '4.3.0'),
+    ('PyYAML', '6.0'),
+    ('MPFR', '4.1.0'),
+    ('GMP', '6.2.1'),
+    ('numactl', '2.0.14'),
+    ('FFmpeg', '4.4.2'),
+    ('Pillow', '9.1.1'),
+    ('expecttest', '0.1.3'),
+    ('networkx', '2.8.4'),
+    ('sympy', '1.10.1'),
+    ('Z3', '4.10.2', '-Python-%(pyver)s'),
 ]
 
 buildcmd = '%(python)s setup.py build'  # Run the (long) build in the build step
@@ -179,6 +220,13 @@ runtest = 'cd test && PYTHONUNBUFFERED=1 %(python)s run_test.py --continue-throu
 # 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'

Diff against PyTorch-2.1.2-foss-2023a-CUDA-12.1.1.eb

easybuild/easyconfigs/p/PyTorch/PyTorch-2.1.2-foss-2023a-CUDA-12.1.1.eb

diff --git a/easybuild/easyconfigs/p/PyTorch/PyTorch-2.1.2-foss-2023a-CUDA-12.1.1.eb b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.1.2-foss-2022a-CUDA-11.7.0.eb
index 6432bd1932..515a5b6c8b 100644
--- a/easybuild/easyconfigs/p/PyTorch/PyTorch-2.1.2-foss-2023a-CUDA-12.1.1.eb
+++ b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.1.2-foss-2022a-CUDA-11.7.0.eb
@@ -6,7 +6,7 @@ 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': '2023a'}
+toolchain = {'name': 'foss', 'version': '2022a'}
 
 source_urls = [GITHUB_RELEASE]
 sources = ['%(namelower)s-v%(version)s.tar.gz']
@@ -30,10 +30,8 @@ patches = [
     '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_disable-cudnn-tf32-for-too-strict-tests.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',
@@ -47,9 +45,13 @@ patches = [
     'PyTorch-2.1.2_add-cuda-skip-markers.patch',
     'PyTorch-2.1.2_fix-conj-mismatch-test-failures.patch',
     'PyTorch-2.1.2_fix-device-mesh-check.patch',
-    'PyTorch-2.1.2_fix-locale-issue-in-nvrtcCompileProgram.patch',
+    'PyTorch-2.1.2_fix-fsdp-tp-integration-test.patch',
+    ('PyTorch-2.1.2_fix-kineto-cuda-11.7-compat.patch', 'third_party/kineto'),
+    'PyTorch-2.1.2_fix-test_cuda-non-x86.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_parallelize_api.patch',
+    'PyTorch-2.1.2_fix-test-tp_random_state.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',
@@ -59,7 +61,6 @@ patches = [
     'PyTorch-2.1.2_remove-nccl-backend-default-without-gpus.patch',
     'PyTorch-2.1.2_skip-cpu_repro-test-without-vectorization.patch',
     'PyTorch-2.1.2_skip-failing-test_dtensor_ops-subtests.patch',
-    'PyTorch-2.1.2_skip-memory-leak-test.patch',
     'PyTorch-2.1.2_skip-test_fsdp_tp_checkpoint_integration.patch',
     'PyTorch-2.1.2_workaround_dynamo_failure_without_nnpack.patch',
 ]
@@ -96,13 +97,10 @@ checksums = [
      '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':
@@ -125,12 +123,19 @@ checksums = [
     {'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-fsdp-tp-integration-test.patch':
+     'f583532c59f35f36998851957d501b3ac8c883884efd61bbaa308db55cb6bdcd'},
+    {'PyTorch-2.1.2_fix-kineto-cuda-11.7-compat.patch':
+     '742f8e9b911b6cde19cdc05804d60a043e7cb936e994e66a6fe6a9490c53e34f'},
+    {'PyTorch-2.1.2_fix-test_cuda-non-x86.patch': '1ed76fcc87e6c50606ac286487292a3d534707068c94af74c3a5de8153fa2c2c'},
     {'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_parallelize_api.patch':
+     'f8387a1693af344099c806981ca38df1306d7f4847d7d44713306338384b1cfd'},
+    {'PyTorch-2.1.2_fix-test-tp_random_state.patch':
+     'da352e32471ae9a68920c91a122c7194f3c53d947536116e33216d3ae6b15e61'},
     {'PyTorch-2.1.2_fix-test_torchinductor-rounding.patch':
      'a0ef99192ee2ad1509c78a8377023d5be2b5fddb16f84063b7c9a0b53d979090'},
     {'PyTorch-2.1.2_fix-vsx-vector-abs.patch': 'd67d32407faed7dc1dbab4bba0e2f7de36c3db04560ced35c94caf8d84ade886'},
@@ -146,7 +151,6 @@ checksums = [
      '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':
@@ -156,36 +160,38 @@ checksums = [
 osdependencies = [OS_PKG_IBVERBS_DEV]
 
 builddependencies = [
-    ('CMake', '3.26.3'),
-    ('hypothesis', '6.82.0'),
+    ('CMake', '3.23.1'),
+    ('hypothesis', '6.46.7'),
     # For tests
     ('pytest-flakefinder', '1.1.0'),
-    ('pytest-rerunfailures', '12.0'),
+    ('pytest-rerunfailures', '11.1'),
     ('pytest-shard', '0.1.2'),
+    ('pytest-xdist', '2.5.0'),
+    ('unittest-xml-reporting', '3.1.0'),
 ]
 
 dependencies = [
-    ('CUDA', '12.1.1', '', SYSTEM),
-    ('cuDNN', '8.9.2.26', '-CUDA-%(cudaver)s', SYSTEM),
-    ('magma', '2.7.2', '-CUDA-%(cudaver)s'),
-    ('NCCL', '2.18.3', '-CUDA-%(cudaver)s'),
-    ('Ninja', '1.11.1'),  # Required for JIT compilation of C++ extensions
-    ('Python', '3.11.3'),
-    ('Python-bundle-PyPI', '2023.06'),
-    ('protobuf', '24.0'),
-    ('protobuf-python', '4.24.0'),
-    ('pybind11', '2.11.1'),
-    ('SciPy-bundle', '2023.07'),
+    ('CUDA', '11.7.0', '', SYSTEM),
+    ('cuDNN', '8.4.1.50', '-CUDA-%(cudaver)s', SYSTEM),
+    ('magma', '2.6.2', '-CUDA-%(cudaver)s'),
+    ('NCCL', '2.12.12', '-CUDA-%(cudaver)s'),
+    ('Ninja', '1.10.2'),  # Required for JIT compilation of C++ extensions
+    ('Python', '3.10.4'),
+    ('protobuf', '3.19.4'),
+    ('protobuf-python', '3.19.4'),
+    ('pybind11', '2.9.2'),
+    ('SciPy-bundle', '2022.05'),
+    ('typing-extensions', '4.3.0'),
     ('PyYAML', '6.0'),
-    ('MPFR', '4.2.0'),
+    ('MPFR', '4.1.0'),
     ('GMP', '6.2.1'),
-    ('numactl', '2.0.16'),
-    ('FFmpeg', '6.0'),
-    ('Pillow', '10.0.0'),
-    ('expecttest', '0.1.5'),
-    ('networkx', '3.1'),
-    ('sympy', '1.12'),
-    ('Z3', '4.12.2'),
+    ('numactl', '2.0.14'),
+    ('FFmpeg', '4.4.2'),
+    ('Pillow', '9.1.1'),
+    ('expecttest', '0.1.3'),
+    ('networkx', '2.8.4'),
+    ('sympy', '1.10.1'),
+    ('Z3', '4.10.2', '-Python-%(pyver)s'),
 ]
 
 buildcmd = '%(python)s setup.py build'  # Run the (long) build in the build step
@@ -204,16 +210,6 @@ excluded_tests = {
         # 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',
     ]
 }
 
@@ -221,7 +217,6 @@ runtest = 'cd test && PYTHONUNBUFFERED=1 %(python)s run_test.py --continue-throu
 
 # 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

Flamefire · 2024-11-20T05:08:06Z

Test report by @Flamefire
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
i8016 - Linux Rocky Linux 8.9 (Green Obsidian), x86_64, AMD EPYC 7352 24-Core Processor (zen2), 8 x NVIDIA NVIDIA A100-SXM4-40GB, 555.42.06, Python 3.8.17
See https://gist.github.com/Flamefire/50987943cc3b3ba7dacbf1f2c394bba5 for a full test report.

Flamefire · 2024-11-29T20:24:18Z

Test report by @Flamefire
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
i8034 - Linux Rocky Linux 8.9 (Green Obsidian), x86_64, AMD EPYC 7352 24-Core Processor (zen2), 8 x NVIDIA NVIDIA A100-SXM4-40GB, 555.42.06, Python 3.8.17
See https://gist.github.com/Flamefire/f8ed04653024e3b120d45e700864afb2 for a full test report.

Flamefire · 2025-02-27T23:54:54Z

Test report by @Flamefire
Using easyblocks from PR(s) easybuilders/easybuild-easyblocks#3633
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
i7133 - Linux Rocky Linux 8.9 (Green Obsidian), x86_64, AMD EPYC 7702 64-Core Processor (zen2), Python 3.8.17
See https://gist.github.com/Flamefire/dc0ce733d08110a763f10156997d8500 for a full test report.

Flamefire · 2025-03-01T20:28:42Z

Test report by @Flamefire
Using easyblocks from PR(s) easybuilders/easybuild-easyblocks#3633
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
i8004 - Linux Rocky Linux 8.9 (Green Obsidian), x86_64, AMD EPYC 7352 24-Core Processor (zen2), 8 x NVIDIA NVIDIA A100-SXM4-40GB, 555.42.06, Python 3.8.17
See https://gist.github.com/Flamefire/088d0cd8c841bf84b669e795da911935 for a full test report.

boegel · 2025-10-13T16:40:32Z

No longer relevant since 2022a toolchains are deprecated since foss/2025b was defined, see also https://docs.easybuild.io/policies/toolchains/, so closing...

github-actions Bot added the update label Nov 19, 2024

Flamefire force-pushed the 20241017162730_new_pr_PyTorch212 branch from b7661d1 to fd81dea Compare November 19, 2024 15:46

Flamefire mentioned this pull request Dec 2, 2024

{ai}[foss/2023b] PyTorch v2.3.0 #20489

Merged

1 task

Flamefire force-pushed the 20241017162730_new_pr_PyTorch212 branch from e93a71f to 286d453 Compare February 21, 2025 12:45

Flamefire mentioned this pull request Feb 24, 2025

Use unittest XML files to parse PyTorch test results easybuilders/easybuild-easyblocks#3633

Merged

3 tasks

Flamefire added 5 commits March 26, 2025 13:25

adding easyconfigs: PyTorch-2.1.2-foss-2022a-CUDA-11.7.0.eb

175d798

Remove use_pip

b2bb4fc

Fix test failures on Power9 and systems with 6 GPUs

daabd8e

Fix checksums

90293f7

Add unittest-xml-reporting

fc4ea6a

Flamefire force-pushed the 20241017162730_new_pr_PyTorch212 branch from 044a4ed to fc4ea6a Compare March 26, 2025 12:25

boegel closed this Oct 13, 2025

Flamefire deleted the 20241017162730_new_pr_PyTorch212 branch October 14, 2025 07:26

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{ai}[foss/2022a] PyTorch v2.1.2 w/ CUDA 11.7.0#21690

{ai}[foss/2022a] PyTorch v2.1.2 w/ CUDA 11.7.0#21690
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Updated software `PyTorch-2.1.2-foss-2022a-CUDA-11.7.0.eb`