diff --git a/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0-foss-2024a.eb b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0-foss-2024a.eb
new file mode 100644
index 00000000000..917374084e8
--- /dev/null
+++ b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0-foss-2024a.eb
@@ -0,0 +1,214 @@
+name = 'PyTorch'
+version = '2.3.0'
+
+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': '2024a'}
+
+source_urls = [GITHUB_RELEASE]
+sources = ['%(namelower)s-v%(version)s.tar.gz']
+patches = [
+    'PyTorch-1.7.0_disable-dev-shm-test.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-vsx-loadu.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_fix-vsx-vector-shift-functions.patch',
+    'PyTorch-2.1.0_increase-tolerance-functorch-test_vmapvjpvjp.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-2.1.2_skip-cpu_repro-test-without-vectorization.patch',
+    'PyTorch-2.1.2_workaround_dynamo_failure_without_nnpack.patch',
+    'PyTorch-2.3.0_avoid_caffe2_test_cpp_jit.patch',
+    'PyTorch-2.3.0_disable_DataType_dependent_test_if_tensorboard_is_not_available.patch',
+    'PyTorch-2.3.0_disable_test_linear_package_if_no_half_types_are_available.patch',
+    'PyTorch-2.3.0_disable_tests_which_need_network_download.patch',
+    'PyTorch-2.3.0_disable-gcc12-warning.patch',
+    'PyTorch-2.3.0_fix-cpuinfo-bug-with-smt.patch',
+    'PyTorch-2.3.0_increase-tolerance-test_jit-test_freeze_conv_relu_fusion.patch',
+    'PyTorch-2.3.0_fix_missing_masked_load_for_int_type.patch',
+    'PyTorch-2.3.0_remove-fsspec-test.patch',
+    'PyTorch-2.3.0_fix-compat-with-pytest-8.2.patch',
+    'PyTorch-2.3.0_fix-mkldnn-avx512-f32-bias.patch',
+    'PyTorch-2.3.0_fix-pytest-7-compat.patch',
+    'PyTorch-2.3.0_fix-segfault-in-filestore-on-python-3.12.patch',
+    'PyTorch-2.3.0_fix-sympy-1.13-compat.patch',
+    'PyTorch-2.3.0_fix-test_extension_backend-without-vectorization.patch',
+    'PyTorch-2.3.0_fix-test_fine_tuning.patch',
+    'PyTorch-2.3.0_no-cuda-stubs-rpath.patch',
+    'PyTorch-2.3.0_skip-test-logaddexp-complex-for-scipy-1.13.patch',
+    'PyTorch-2.3.0_skip_test_sdpa_nn_functional_scaled_dot_product_attention_cpu.patch',
+    'PyTorch-2.3.0_skip_test_var_mean_differentiable.patch',
+    'PyTorch-2.3.0_skip-test_init_from_local_shards.patch',
+]
+checksums = [
+    {'pytorch-v2.3.0.tar.gz': '69579513b26261bbab32e13b7efc99ad287fcf3103087f2d4fdf1adacd25316f'},
+    {'PyTorch-1.7.0_disable-dev-shm-test.patch': '622cb1eaeadc06e13128a862d9946bcc1f1edd3d02b259c56a9aecc4d5406b8a'},
+    {'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-vsx-loadu.patch': 'a0ffa61da2d47c6acd09aaf6d4791e527d8919a6f4f1aa7ed38454cdcadb1f72'},
+    {'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_fix-vsx-vector-shift-functions.patch':
+     '3793b4b878be1abe7791efcbd534774b87862cfe7dc4774ca8729b6cabb39e7e'},
+    {'PyTorch-2.1.0_increase-tolerance-functorch-test_vmapvjpvjp.patch':
+     'aef38adf1210d0c5455e91d7c7a9d9e5caad3ae568301e0ba9fc204309438e7b'},
+    {'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-2.1.2_skip-cpu_repro-test-without-vectorization.patch':
+     '7ace835af60c58d9e0754a34c19d4b9a0c3a531f19e5d0eba8e2e49206eaa7eb'},
+    {'PyTorch-2.1.2_workaround_dynamo_failure_without_nnpack.patch':
+     'fb96eefabf394617bbb3fbd3a7a7c1aa5991b3836edc2e5d2a30e708bfe49ba1'},
+    {'PyTorch-2.3.0_avoid_caffe2_test_cpp_jit.patch':
+     '041adcd91d994b8c2ab57d227f081cd57e572c157117b37171e1eb8eb576f8fc'},
+    {'PyTorch-2.3.0_disable_DataType_dependent_test_if_tensorboard_is_not_available.patch':
+     '0dcbdfde6752c3ff54c5376f521b4a742167669feb7f0f1d4e1d4d55f72b664f'},
+    {'PyTorch-2.3.0_disable_test_linear_package_if_no_half_types_are_available.patch':
+     '23416f2d9d5226695ec3fbea0671e3650c655c19deefd3f0f8ddab5afa50f485'},
+    {'PyTorch-2.3.0_disable_tests_which_need_network_download.patch':
+     'b7fd1a5135dfd4098cdc054182f7bf84a23ac98462a00477712182b5442da855'},
+    {'PyTorch-2.3.0_disable-gcc12-warning.patch': 'a8a624e1a2a5f4c82610173e50bd0f853e49bd5621b432f5aac689f9f6eb1514'},
+    {'PyTorch-2.3.0_fix-cpuinfo-bug-with-smt.patch':
+     '29fb95d1dba070133b513de050febd328ed36905a73f1ca135dc633f16beafa4'},
+    {'PyTorch-2.3.0_increase-tolerance-test_jit-test_freeze_conv_relu_fusion.patch':
+     '6f8eba5b546129ea975cda1a8a7098ca3245ad2b040a31a98807ee6d69cad0d4'},
+    {'PyTorch-2.3.0_fix_missing_masked_load_for_int_type.patch':
+     'aa6ff764f3f7bf84372a8a257fe1b4ae6dc4b9744ad35f0f9015f2696c62a41e'},
+    {'PyTorch-2.3.0_remove-fsspec-test.patch': '09be192401013cd8cd66add9d6565ac3e879e004d77e61145f826b768267ff61'},
+    {'PyTorch-2.3.0_fix-compat-with-pytest-8.2.patch':
+     'f249169f12b8603285b321cf6ae6e9062c09ab01fad2aa50c6c4601d5719126a'},
+    {'PyTorch-2.3.0_fix-mkldnn-avx512-f32-bias.patch':
+     'ee07d21c3ac7aeb0bd0e39507b18a417b9125284a529102929c4b5c6727c2976'},
+    {'PyTorch-2.3.0_fix-pytest-7-compat.patch': 'a34c5e718f4b06d915504fc1ab49eaf168674ec6e498e6e040a882c2b31632ee'},
+    {'PyTorch-2.3.0_fix-segfault-in-filestore-on-python-3.12.patch':
+     'e9f213f52a255e082cda04cc98c328079f6731c587c0e6be44fbdeea857ef3a9'},
+    {'PyTorch-2.3.0_fix-sympy-1.13-compat.patch': '3d6a1e766a4e5667b24f86f6e6a720e78283ab946fae1e749e71f89cfc62bbcc'},
+    {'PyTorch-2.3.0_fix-test_extension_backend-without-vectorization.patch':
+     '36aa2d5ba175be17f4e996f4fb2d544fe477d4a0bd0644cd59a85063779afc8e'},
+    {'PyTorch-2.3.0_fix-test_fine_tuning.patch': 'daa24801f3b2b5f76b639a14fba9a6ad84fe99ebed53401e217d02f94cfe48bf'},
+    {'PyTorch-2.3.0_no-cuda-stubs-rpath.patch': '7ba26824b5def7379cff02ae821a080698e6affea0da45bc846e9ecb89939cb1'},
+    {'PyTorch-2.3.0_skip-test-logaddexp-complex-for-scipy-1.13.patch':
+     '8149418df7a1180f29a6a6127bfe8cd33bcbdb1bff6e85911e1da749365080ab'},
+    {'PyTorch-2.3.0_skip_test_sdpa_nn_functional_scaled_dot_product_attention_cpu.patch':
+     '7955f2655db3da18606574fdcbc5990be24098f49ad1db5e86ea756ea1cc506f'},
+    {'PyTorch-2.3.0_skip_test_var_mean_differentiable.patch':
+     '9703fd0f1fca8916f6d79d83e9a7efe8e3f717362a5fdaa8f5d9da90d0c75018'},
+    {'PyTorch-2.3.0_skip-test_init_from_local_shards.patch':
+     '90ed9c2870f57ee6dc032d00873a37e2217a2b92a13035ded1c25ad5306455f2'},
+]
+
+osdependencies = [OS_PKG_IBVERBS_DEV]
+
+builddependencies = [
+    ('CMake', '3.29.3'),
+    ('hypothesis', '6.103.1'),
+    # For tests
+    ('pytest-flakefinder', '1.1.0'),
+    ('pytest-rerunfailures', '15.0'),
+    ('pytest-shard', '0.1.2'),
+    ('tlparse', '0.3.37'),
+    ('optree', '0.14.1'),
+    ('unittest-xml-reporting', '3.1.0'),
+]
+
+dependencies = [
+    ('Ninja', '1.12.1'),  # Required for JIT compilation of C++ extensions
+    ('Python', '3.12.3'),
+    ('Python-bundle-PyPI', '2024.06'),
+    ('protobuf', '28.0'),
+    ('protobuf-python', '5.28.0'),
+    ('pybind11', '2.12.0'),
+    ('SciPy-bundle', '2024.05'),
+    ('PyYAML', '6.0.2'),
+    ('MPFR', '4.2.1'),
+    ('GMP', '6.3.0'),
+    ('numactl', '2.0.18'),
+    ('FFmpeg', '7.0.2'),
+    ('Pillow', '10.4.0'),
+    ('expecttest', '0.2.1'),
+    ('networkx', '3.4.2'),
+    ('sympy', '1.13.3'),
+    ('Z3', '4.13.0',),
+]
+
+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',
+        # 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',
+        # These don't work with Python 3.12+, yet
+        'distributed/_composable/test_replicate_with_compiler',
+        'distributed/_tensor/experimental/test_tp_transform',
+        'distributed/_tensor/test_dtensor_compile',
+    ]
+}
+
+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
+
+# 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
+
+tests = ['PyTorch-check-cpp-extension.py']
+
+moduleclass = 'ai'
diff --git a/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_fix-compat-with-pytest-8.2.patch b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_fix-compat-with-pytest-8.2.patch
new file mode 100644
index 00000000000..d78c9293ff2
--- /dev/null
+++ b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_fix-compat-with-pytest-8.2.patch
@@ -0,0 +1,44 @@
+PyTest 8.2+ instantiates the test class with "runTest" causing an error:
+> AttributeError: 'FSDPTest' object has no attribute 'runTest'. Did you mean: 'run_test'?
+
+Fix using backport of https://github.com/pytorch/pytorch/issues/127517
+author: Alexander Grund (TU Dresden)
+
+diff --git a/torch/testing/_internal/common_distributed.py b/torch/testing/_internal/common_distributed.py
+index 48c8e4dabbb..b1910b5122c 100644
+--- a/torch/testing/_internal/common_distributed.py
++++ b/torch/testing/_internal/common_distributed.py
+@@ -549,8 +549,14 @@ class MultiProcessTestCase(TestCase):
+     # or run the underlying test function.
+     def __init__(self, method_name: str = "runTest") -> None:
+         super().__init__(method_name)
+-        fn = getattr(self, method_name)
+-        setattr(self, method_name, self.join_or_run(fn))
++        try:
++            fn = getattr(self, method_name)
++            setattr(self, method_name, self.join_or_run(fn))
++        except AttributeError as e:
++            if method_name != 'runTest':
++                # we allow instantiation with no explicit method name
++                # but not an *incorrect* or missing method name
++                raise ValueError(f"no such test method in {self.__class__}: {method_name}") from e
+ 
+     def setUp(self) -> None:
+         super().setUp()
+@@ -964,8 +970,14 @@ class MultiThreadedTestCase(TestCase):
+ 
+     def __init__(self, method_name: str = "runTest") -> None:
+         super().__init__(method_name)
+-        test_fn = getattr(self, method_name, None)
+-        setattr(self, method_name, self.join_or_run(test_fn))
++        try:
++            fn = getattr(self, method_name)
++            setattr(self, method_name, self.join_or_run(fn))
++        except AttributeError as e:
++            if method_name != 'runTest':
++                # we allow instantiation with no explicit method name
++                # but not an *incorrect* or missing method name
++                raise ValueError(f"no such test method in {self.__class__}: {method_name}") from e
+ 
+     def perThreadSetUp(self):
+         # super().setUp()  # TestCase.setUp() calls torch.manual_seed()
diff --git a/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_fix-pytest-7-compat.patch b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_fix-pytest-7-compat.patch
new file mode 100644
index 00000000000..f76aee644fc
--- /dev/null
+++ b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_fix-pytest-7-compat.patch
@@ -0,0 +1,47 @@
+PyTest 7 removed the ability to pass `None` to `pytest.warns()`, and expects no arguments instead.
+This now leads to this error:
+> TypeError: exceptions must be derived from Warning, not <class 'NoneType'>
+
+Update to use native warnings-as-errors handling.
+See https://docs.pytest.org/en/7.0.x/how-to/capture-warnings.html#additional-use-cases-of-warnings-in-tests
+Author: Alexander Grund (TU Dresden)
+--- a/test/distributed/pipeline/sync/test_pipe.py
++++ b/test/distributed/pipeline/sync/test_pipe.py
+@@ -9,6 +9,7 @@
+ from collections import OrderedDict
+ from copy import deepcopy
+ import time
++import warnings
+ 
+ import pytest
+ import random
+@@ -87,23 +88,21 @@ def test_batch_size_indivisible(setup_rpc):
+     model = nn.Sequential(nn.Linear(1, 1))
+     model = Pipe(model, chunks=4)
+ 
+-    with pytest.warns(None) as record:
++    with warnings.catch_warnings():
++        # Indivisible batch size is legal.
++        warnings.simplefilter("error")
+         model(torch.rand(7, 1))
+ 
+-    # Indivisible batch size is legal.
+-    assert not record
+-
+ 
+ def test_batch_size_small(setup_rpc):
+     model = nn.Sequential(nn.Linear(1, 1))
+     model = Pipe(model, chunks=4)
+ 
+-    with pytest.warns(None) as record:
++    with warnings.catch_warnings():
++        # Batch size smaller than chunks is legal.
++        warnings.simplefilter("error")
+         model(torch.rand(2, 1))
+ 
+-    # Batch size smaller than chunks is legal.
+-    assert not record
+-
+ 
+ def test_checkpoint_mode(setup_rpc):
+     def count_grad_fn(grad_fn, name, visited=None):
diff --git a/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_fix-segfault-in-filestore-on-python-3.12.patch b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_fix-segfault-in-filestore-on-python-3.12.patch
new file mode 100644
index 00000000000..386693cb91b
--- /dev/null
+++ b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_fix-segfault-in-filestore-on-python-3.12.patch
@@ -0,0 +1,36 @@
+Fix a segmentation fault on Python 3.12 happening e.g. in distributed/test_store.py::FileStoreTest::test_compare_set
+
+Backport of https://github.com/pytorch/pytorch/pull/128212
+
+Author: Alexander Grund (TU Dresden)
+
+diff --git a/torch/csrc/distributed/c10d/init.cpp b/torch/csrc/distributed/c10d/init.cpp
+index 8056008579c..1d165dcbdfb 100644
+--- a/torch/csrc/distributed/c10d/init.cpp
++++ b/torch/csrc/distributed/c10d/init.cpp
+@@ -997,16 +997,18 @@ Example::
+                  const std::string& key,
+                  const std::string& expected_value,
+                  const std::string& desired_value) -> py::bytes {
+-                std::vector<uint8_t> expectedValue_(
+-                    expected_value.begin(), expected_value.end());
+-                std::vector<uint8_t> desiredValue_(
+-                    desired_value.begin(), desired_value.end());
+-                auto value =
+-                    store.compareSet(key, expectedValue_, desiredValue_);
++                auto value = [&]() {
++                    py::gil_scoped_release guard;
++                    std::vector<uint8_t> expectedValue_(
++                        expected_value.begin(), expected_value.end());
++                    std::vector<uint8_t> desiredValue_(
++                        desired_value.begin(), desired_value.end());
++                    return store.compareSet(
++                        key, expectedValue_, desiredValue_);
++                }();
+                 return py::bytes(
+                     reinterpret_cast<char*>(value.data()), value.size());
+               },
+-              py::call_guard<py::gil_scoped_release>(),
+               R"(
+ Inserts the key-value pair into the store based on the supplied ``key`` and
+ performs comparison between ``expected_value`` and ``desired_value`` before inserting. ``desired_value``
diff --git a/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_fix-sympy-1.13-compat.patch b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_fix-sympy-1.13-compat.patch
new file mode 100644
index 00000000000..df2f3913be0
--- /dev/null
+++ b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_fix-sympy-1.13-compat.patch
@@ -0,0 +1,29 @@
+There is an assertion failure with sympy 1.13.3:
+>   File "torch/fx/experimental/symbolic_shapes.py", line 6403, in _evaluate_expr
+>    assert orig_expr == hint, f"{orig_expr} != {hint}"
+>           ^^^^^^^^^^^^^^^^^
+> AssertionError: 0 != 0.0
+
+Backport of https://github.com/pytorch/pytorch/pull/147197
+
+Author: Alexander Grund (TU Dresden)
+
+diff --git a/torch/fx/experimental/symbolic_shapes.py b/torch/fx/experimental/symbolic_shapes.py
+index e9b7f56f974..7fea78c0c5e 100644
+--- a/torch/fx/experimental/symbolic_shapes.py
++++ b/torch/fx/experimental/symbolic_shapes.py
+@@ -4105,9 +4105,11 @@ class ShapeEnv:
+         try:
+             if orig_expr.is_number:
+                 self.log.debug("eval %s [trivial]", orig_expr)
+-                # NB: don't test float as there may be precision issues
+-                if isinstance(hint, (int, bool)):
+-                    assert orig_expr == hint, f"{orig_expr} != {hint}"
++                if hint is not None:
++                    if isinstance(hint, bool):
++                        assert orig_expr == hint, f"{orig_expr} != {hint}"
++                    else:
++                        assert sympy.Eq(orig_expr, hint), f"{orig_expr} != {hint}"
+                 return orig_expr
+ 
+             expr = orig_expr
diff --git a/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_fix-test_fine_tuning.patch b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_fix-test_fine_tuning.patch
new file mode 100644
index 00000000000..62dbfe21134
--- /dev/null
+++ b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_fix-test_fine_tuning.patch
@@ -0,0 +1,45 @@
+Fixes
+> TypeError: get_state_dict() missing 1 required positional argument: 'optimizers'
+
+From 61d30b6e8acbd3cfb087761defa74f19f9be96bb Mon Sep 17 00:00:00 2001
+From: cdzhan <zhancdi@163.com>
+Date: Mon, 24 Jun 2024 20:02:08 +0800
+Subject: [PATCH] [easy][DCP] Fix test_fine_tuning.py for get/set_state_dict
+ API changes
+
+---
+ test/distributed/checkpoint/e2e/test_fine_tuning.py | 6 ++++--
+ 1 file changed, 4 insertions(+), 2 deletions(-)
+
+diff --git a/test/distributed/checkpoint/e2e/test_fine_tuning.py b/test/distributed/checkpoint/e2e/test_fine_tuning.py
+index a93f242187709c..fd21524882c839 100644
+--- a/test/distributed/checkpoint/e2e/test_fine_tuning.py
++++ b/test/distributed/checkpoint/e2e/test_fine_tuning.py
+@@ -9,7 +9,9 @@
+ import torch.nn as nn
+ from torch.distributed._tensor import init_device_mesh
+ from torch.distributed.checkpoint.state_dict import (
++    get_model_state_dict,
+     get_state_dict,
++    set_model_state_dict,
+     set_state_dict,
+     StateDictOptions,
+ )
+@@ -120,7 +122,7 @@ def finetune(self, pretrain_dir: str, finetune_dir: str) -> None:
+         # Simulate that the fine tuning restart after 3 iterations
+         for i in range(2):
+             # Load pretrain submodules checkpoint
+-            pretrain_state_dict, _ = get_state_dict(
++            pretrain_state_dict = get_model_state_dict(
+                 model,
+                 submodules={model.pretrain},
+                 options=StateDictOptions(keep_submodule_prefixes=False),
+@@ -129,7 +131,7 @@ def finetune(self, pretrain_dir: str, finetune_dir: str) -> None:
+                 {"model": pretrain_state_dict},
+                 storage_reader=dist_cp.FileSystemReader(pretrain_dir),
+             )
+-            set_state_dict(
++            set_model_state_dict(
+                 model,
+                 model_state_dict={model.pretrain: pretrain_state_dict},
+                 options=StateDictOptions(strict=False),
diff --git a/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_increase-tolerance-test_jit-test_freeze_conv_relu_fusion.patch b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_increase-tolerance-test_jit-test_freeze_conv_relu_fusion.patch
new file mode 100644
index 00000000000..99e43d05aa4
--- /dev/null
+++ b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_increase-tolerance-test_jit-test_freeze_conv_relu_fusion.patch
@@ -0,0 +1,19 @@
+test_jit, test_jit_legacy, test_jit_profiling fail in test_freeze_conv_relu_fusion with:
+> Greatest absolute difference: 3.053247928619385e-05 at index (1, 1, 0, 0, 0) (up to 1e-05 allowed)
+> Greatest relative difference: 0.0004548609140329063 at index (3, 1, 0, 0, 0) (up to 1.3e-06 allowed)
+
+Author: Alexander Grund (TU Dresden)
+
+diff --git a/test/jit/test_freezing.py b/test/jit/test_freezing.py
+index f13c2b113b4..454df769d9c 100644
+--- a/test/jit/test_freezing.py
++++ b/test/jit/test_freezing.py
+@@ -2795,7 +2795,7 @@ class TestFrozenOptimizations(JitTestCase):
+                     else:
+                         FileCheck().check("aten::cudnn_convolution_relu").run(frozen_mod.graph)
+ 
+-                self.assertEqual(mod_eager(inp), frozen_mod(inp))
++                self.assertEqual(mod_eager(inp), frozen_mod(inp), atol=4e-5, rtol=5e-4)
+ 
+     @unittest.skipIf(not (TEST_CUDNN or TEST_WITH_ROCM), "requires CUDNN")
+     def test_freeze_conv_relu_fusion_not_forward(self):
diff --git a/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_remove-fsspec-test.patch b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_remove-fsspec-test.patch
new file mode 100644
index 00000000000..b207270fd1a
--- /dev/null
+++ b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_remove-fsspec-test.patch
@@ -0,0 +1,67 @@
+Use part of a revert commit to avoid failures caused by:
+>     storage_reader = storage_reader or DCP.FileSystemReader()
+>                                        ^^^^^^^^^^^^^^^^^^^^^^
+> TypeError: FileSystemReader.__init__() missing 1 required positional argument: 'path'
+
+Author: Alexander Grund (TU Dresden)
+
+--- a/test/distributed/checkpoint/e2e/test_e2e_save_and_load.py
++++ b/test/distributed/checkpoint/e2e/test_e2e_save_and_load.py
+@@ -171,28 +171,7 @@ class TestE2ESaveAndLoad(DTensorTestBase, VerifyStateDictMixin):
+     def test_e2e_async(self):
+         self._run_e2e_test(compile=False, model_type=ModelType.FSDP, async_op=True)
+ 
+-    @with_comms
+-    @skip_if_lt_x_gpu(4)
+-    @with_temp_dir
+-    def test_fsspec(self):
+-        self._run_e2e_test(
+-            compile=False,
+-            model_type=ModelType.FSDP,
+-            storage_reader=DCP.FsspecReader(),
+-            storage_writer=DCP.FsspecWriter(),
+-        )
+-
+-    def _run_e2e_test(
+-        self,
+-        compile,
+-        model_type,
+-        async_op=False,
+-        storage_reader=None,
+-        storage_writer=None,
+-    ):
+-        storage_reader = storage_reader or DCP.FileSystemReader()
+-        storage_writer = storage_writer or DCP.FileSystemWriter()
+-
++    def _run_e2e_test(self, compile, model_type, async_op=False):
+         model, optim = self._create_model(compile, ModelType.NONE)
+         _train(model, optim, train_steps=2)
+ 
+@@ -207,9 +186,7 @@ class TestE2ESaveAndLoad(DTensorTestBase, VerifyStateDictMixin):
+         }
+ 
+         if async_op:
+-            f = saver.async_save(
+-                sd, checkpoint_id=self.temp_dir, storage_writer=storage_writer
+-            )
++            f = saver.async_save(sd, checkpoint_id=self.temp_dir)
+             t = time.monotonic()
+             while not f.done():
+                 time.sleep(1)
+@@ -217,7 +194,7 @@ class TestE2ESaveAndLoad(DTensorTestBase, VerifyStateDictMixin):
+ 
+             f.result()
+         else:
+-            DCP.save(sd, checkpoint_id=self.temp_dir, storage_writer=storage_writer)
++            DCP.save(sd, checkpoint_id=self.temp_dir)
+ 
+         loaded_stateful_obj = TestStatefulObj()
+         dist_model, dist_optim = self._create_model(compile, model_type)
+@@ -232,7 +209,6 @@ class TestE2ESaveAndLoad(DTensorTestBase, VerifyStateDictMixin):
+                 "s": loaded_stateful_obj,
+             },
+             checkpoint_id=self.temp_dir,
+-            storage_reader=storage_reader,
+         )
+ 
+         self.assertEqual(original_stateful_obj, loaded_stateful_obj)
diff --git a/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_skip-test-logaddexp-complex-for-scipy-1.13.patch b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_skip-test-logaddexp-complex-for-scipy-1.13.patch
new file mode 100644
index 00000000000..40d3b0f17b3
--- /dev/null
+++ b/easybuild/easyconfigs/p/PyTorch/PyTorch-2.3.0_skip-test-logaddexp-complex-for-scipy-1.13.patch
@@ -0,0 +1,18 @@
+Scipy 1.13 on at least Python 3.12+ causes failures for complex logaddexp in these tests:
+    TestBinaryUfuncsCPU.test_logaddexp_cpu_complex64
+    TestBinaryUfuncsCPU.test_logaddexp_cpu_complex128
+See https://github.com/pytorch/pytorch/issues/123655
+
+diff --git a/test/test_binary_ufuncs.py b/test/test_binary_ufuncs.py
+index 55ead3684cc..80937d23ff2 100644
+--- a/test/test_binary_ufuncs.py
++++ b/test/test_binary_ufuncs.py
+@@ -3447,6 +3447,8 @@ class TestBinaryUfuncs(TestCase):
+             our_func = torch.logaddexp2
+         elif dtype in (torch.complex64, torch.complex128):
+             # numpy has not implemented logaddexp for complex
++            if scipy.__version__.startswith('1.13.'):
++                return  # scipy 1.13.0 has a bug in logaddexp for complex
+             def _ref_func(x, y):
+                 return scipy.special.logsumexp(np.stack((x, y), axis=0), axis=0)
+             ref_func = _ref_func
diff --git a/easybuild/easyconfigs/p/pytest-rerunfailures/pytest-rerunfailures-15.0-GCCcore-13.3.0.eb b/easybuild/easyconfigs/p/pytest-rerunfailures/pytest-rerunfailures-15.0-GCCcore-13.3.0.eb
new file mode 100644
index 00000000000..a7d32510320
--- /dev/null
+++ b/easybuild/easyconfigs/p/pytest-rerunfailures/pytest-rerunfailures-15.0-GCCcore-13.3.0.eb
@@ -0,0 +1,25 @@
+easyblock = 'PythonPackage'
+
+name = 'pytest-rerunfailures'
+version = '15.0'
+
+homepage = 'https://github.com/pytest-dev/pytest-rerunfailures'
+description = "pytest plugin to re-run tests to eliminate flaky failures."
+
+toolchain = {'name': 'GCCcore', 'version': '13.3.0'}
+
+builddependencies = [
+    ('binutils', '2.42'),
+]
+dependencies = [
+    ('Python', '3.12.3'),
+    ('Python-bundle-PyPI', '2024.06'),
+]
+
+# 8.2.2 is allowed with https://github.com/easybuilders/easybuild-easyconfigs/pull/22602
+preinstallopts = "sed -i 's|pytest!=8.2.2,|pytest|' pyproject.toml && "
+
+sources = [SOURCE_TAR_GZ]
+checksums = ['2d9ac7baf59f4c13ac730b47f6fa80e755d1ba0581da45ce30b72fb3542b4474']
+
+moduleclass = 'tools'
diff --git a/easybuild/easyconfigs/p/pytest-shard/pytest-shard-0.1.2-GCCcore-13.3.0.eb b/easybuild/easyconfigs/p/pytest-shard/pytest-shard-0.1.2-GCCcore-13.3.0.eb
new file mode 100644
index 00000000000..14649a289f9
--- /dev/null
+++ b/easybuild/easyconfigs/p/pytest-shard/pytest-shard-0.1.2-GCCcore-13.3.0.eb
@@ -0,0 +1,29 @@
+easyblock = 'PythonPackage'
+
+name = 'pytest-shard'
+version = '0.1.2'
+
+homepage = 'https://github.com/AdamGleave/pytest-shard'
+description = """pytest plugin to support parallelism across multiple machines.
+
+Shards tests based on a hash of their test name enabling easy parallelism across machines,
+suitable for a wide variety of continuous integration services.
+Tests are split at the finest level of granularity, individual test cases,
+enabling parallelism even if all of your tests are in a single file
+(or even single parameterized test method).
+"""
+
+toolchain = {'name': 'GCCcore', 'version': '13.3.0'}
+
+builddependencies = [
+    ('binutils', '2.42'),
+]
+dependencies = [
+    ('Python', '3.12.3'),
+    ('Python-bundle-PyPI', '2024.06'),
+]
+
+sources = [SOURCE_TAR_GZ]
+checksums = ['b86a967fbfd1c8e50295095ccda031b7e890862ee06531d5142844f4c1d1cd67']
+
+moduleclass = 'tools'
diff --git a/easybuild/easyconfigs/t/tlparse/tlparse-0.3.37-GCCcore-13.3.0.eb b/easybuild/easyconfigs/t/tlparse/tlparse-0.3.37-GCCcore-13.3.0.eb
new file mode 100644
index 00000000000..91e5623e1e3
--- /dev/null
+++ b/easybuild/easyconfigs/t/tlparse/tlparse-0.3.37-GCCcore-13.3.0.eb
@@ -0,0 +1,283 @@
+easyblock = 'CargoPythonPackage'
+
+name = 'tlparse'
+version = '0.3.37'
+
+homepage = 'https://github.com/ezyang/tlparse'
+description = "Parse structured PT2 (PyTorch 2) logs"
+
+toolchain = {'name': 'GCCcore', 'version': '13.3.0'}
+
+github_account = 'ezyang'
+source_urls = [GITHUB_SOURCE]
+sources = ['v%(version)s.tar.gz']
+checksums = [
+    {'v0.3.37.tar.gz': '96f8401a902aee3aa33b132e6438503c7b1bbbd926c050844f0bbd4ee9b407a6'},
+    {'adler2-2.0.0.tar.gz': '512761e0bb2578dd7380c6baaa0f4ce03e84f95e960231d1dec8bf4d7d6e2627'},
+    {'aho-corasick-1.1.3.tar.gz': '8e60d3430d3a69478ad0993f19238d2df97c507009a52b3c10addcd7f6bcb916'},
+    {'android-tzdata-0.1.1.tar.gz': 'e999941b234f3131b00bc13c22d06e8c5ff726d1b6318ac7eb276997bbb4fef0'},
+    {'android_system_properties-0.1.5.tar.gz': '819e7219dbd41043ac279b19830f2efc897156490d7fd6ea916720117ee66311'},
+    {'anstream-0.6.18.tar.gz': '8acc5369981196006228e28809f761875c0327210a891e941f4c683b3a99529b'},
+    {'anstyle-1.0.10.tar.gz': '55cc3b69f167a1ef2e161439aa98aed94e6028e5f9a59be9a6ffb47aef1651f9'},
+    {'anstyle-parse-0.2.6.tar.gz': '3b2d16507662817a6a20a9ea92df6652ee4f94f914589377d69f3b21bc5798a9'},
+    {'anstyle-query-1.1.2.tar.gz': '79947af37f4177cfead1110013d678905c37501914fba0efea834c3fe9a8d60c'},
+    {'anstyle-wincon-3.0.6.tar.gz': '2109dbce0e72be3ec00bed26e6a7479ca384ad226efdd66db8fa2e3a38c83125'},
+    {'anyhow-1.0.94.tar.gz': 'c1fd03a028ef38ba2276dce7e33fcd6369c158a1bca17946c4b1b701891c1ff7'},
+    {'autocfg-1.4.0.tar.gz': 'ace50bade8e6234aa140d9a2f552bbee1db4d353f69b8217bc503490fc1a9f26'},
+    {'base16ct-0.2.0.tar.gz': '4c7f02d4ea65f2c1853089ffd8d2787bdbc63de2f0d29dedbcf8ccdfa0ccd4cf'},
+    {'base64-0.22.1.tar.gz': '72b3254f16251a8381aa12e40e3c4d2f0199f8c6508fbecb9d91f575e0fbb8c6'},
+    {'bincode-1.3.3.tar.gz': 'b1f45e9417d87227c7a56d22e471c6206462cba514c7590c09aff4cf6d1ddcad'},
+    {'bitflags-1.3.2.tar.gz': 'bef38d45163c2f1dde094a7dfd33ccf595c92905c8f8f4fdc18d06fb1037718a'},
+    {'block-buffer-0.10.4.tar.gz': '3078c7629b62d3f0439517fa394996acacc5cbc91c5a20d8c658e77abd503a71'},
+    {'bstr-1.11.0.tar.gz': '1a68f1f47cdf0ec8ee4b941b2eee2a80cb796db73118c0dd09ac63fbe405be22'},
+    {'bumpalo-3.16.0.tar.gz': '79296716171880943b8470b5f8d03aa55eb2e645a4874bdbb28adb49162e012c'},
+    {'byteorder-1.5.0.tar.gz': '1fd0f2584146f6f2ef48085050886acf353beff7305ebd1ae69500e27c67f64b'},
+    {'cc-1.2.2.tar.gz': 'f34d93e62b03caf570cccc334cbc6c2fceca82f39211051345108adcba3eebdc'},
+    {'cfg-if-1.0.0.tar.gz': 'baf1de4339761588bc0619e3cbc0120ee582ebb74b53b4efbf79117bd2da40fd'},
+    {'chrono-0.4.38.tar.gz': 'a21f936df1771bf62b77f047b726c4625ff2e8aa607c01ec06e5a05bd8463401'},
+    {'clap-4.5.22.tar.gz': '69371e34337c4c984bbe322360c2547210bf632eb2814bbe78a6e87a2935bd2b'},
+    {'clap_builder-4.5.22.tar.gz': '6e24c1b4099818523236a8ca881d2b45db98dadfb4625cf6608c12069fcbbde1'},
+    {'clap_derive-4.5.18.tar.gz': '4ac6a0c7b1a9e9a5186361f67dfa1b88213572f427fb9ab038efb2bd8c582dab'},
+    {'clap_lex-0.7.3.tar.gz': 'afb84c814227b90d6895e01398aee0d8033c00e7466aca416fb6a8e0eb19d8a7'},
+    {'colorchoice-1.0.3.tar.gz': '5b63caa9aa9397e2d9480a9b13673856c78d8ac123288526c37d7839f2a86990'},
+    {'console-0.15.8.tar.gz': '0e1f83fc076bd6dd27517eacdf25fef6c4dfe5f1d7448bafaaf3a26f13b5e4eb'},
+    {'core-foundation-sys-0.8.7.tar.gz': '773648b94d0e5d620f64f280777445740e61fe701025087ec8b57f45c791888b'},
+    {'crc32fast-1.4.2.tar.gz': 'a97769d94ddab943e4510d138150169a2758b5ef3eb191a9ee688de3e23ef7b3'},
+    {'crypto-common-0.1.6.tar.gz': '1bfb12502f3fc46cca1bb51ac28df9d618d813cdc3d2f25b9fe775a34af26bb3'},
+    {'deranged-0.3.11.tar.gz': 'b42b6fa04a440b495c8b04d0e71b707c585f83cb9cb28cf8cd0d976c315e31b4'},
+    {'digest-0.10.7.tar.gz': '9ed9a281f7bc9b7576e61468ba615a66a5c8cfdff42420a70aa82701a3b1e292'},
+    {'encode_unicode-0.3.6.tar.gz': 'a357d28ed41a50f9c765dbfe56cbc04a64e53e5fc58ba79fbc34c10ef3df831f'},
+    {'equivalent-1.0.1.tar.gz': '5443807d6dff69373d433ab9ef5378ad8df50ca6298caf15de6e52e24aaf54d5'},
+    {'flate2-1.0.35.tar.gz': 'c936bfdafb507ebbf50b8074c54fa31c5be9a1e7e5f467dd659697041407d07c'},
+    {'fnv-1.0.7.tar.gz': '3f9eec918d3f24069decb9af1554cad7c880e2da24a9afd88aca000531ab82c1'},
+    {'fxhash-0.2.1.tar.gz': 'c31b6d751ae2c7f11320402d34e41349dd1016f8d5d45e48c4312bc8625af50c'},
+    {'generic-array-0.14.7.tar.gz': '85649ca51fd72272d7821adaf274ad91c288277713d9c18820d8499a7ff69e9a'},
+    {'hashbrown-0.15.2.tar.gz': 'bf151400ff0baff5465007dd2f3e717f3fe502074ca563069ce3a6629d07b289'},
+    {'heck-0.5.0.tar.gz': '2304e00983f87ffb38b55b444b5e3b60a884b5d30c0fca7d82fe33449bbe55ea'},
+    {'html-escape-0.2.13.tar.gz': '6d1ad449764d627e22bfd7cd5e8868264fc9236e07c752972b4080cd351cb476'},
+    {'iana-time-zone-0.1.61.tar.gz': '235e081f3925a06703c2d0117ea8b91f042756fd6e7a6e5d901e8ca1a996b220'},
+    {'iana-time-zone-haiku-0.1.2.tar.gz': 'f31827a206f56af32e590ba56d5d2d085f558508192593743f16b2306495269f'},
+    {'indexmap-2.7.0.tar.gz': '62f822373a4fe84d4bb149bf54e584a7f4abec90e072ed49cda0edea5b95471f'},
+    {'indicatif-0.17.9.tar.gz': 'cbf675b85ed934d3c67b5c5469701eec7db22689d0a2139d856e0925fa28b281'},
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+    {'windows_x86_64_msvc-0.52.6.tar.gz': '589f6da84c646204747d1270a2a5661ea66ed1cced2631d546fdfb155959f9ec'},
+    {'yaml-rust-0.4.5.tar.gz': '56c1936c4cc7a1c9ab21a1ebb602eb942ba868cbd44a99cb7cdc5892335e1c85'},
+]
+
+builddependencies = [
+    ('binutils', '2.42'),
+    ('maturin', '1.6.0'),
+]
+
+dependencies = [
+    ('Python', '3.12.3'),
+]
+
+options = {
+    'modulename': False,
+}
+
+crates = [
+    ('adler2', '2.0.0'),
+    ('aho-corasick', '1.1.3'),
+    ('android-tzdata', '0.1.1'),
+    ('android_system_properties', '0.1.5'),
+    ('anstream', '0.6.18'),
+    ('anstyle', '1.0.10'),
+    ('anstyle-parse', '0.2.6'),
+    ('anstyle-query', '1.1.2'),
+    ('anstyle-wincon', '3.0.6'),
+    ('anyhow', '1.0.94'),
+    ('autocfg', '1.4.0'),
+    ('base16ct', '0.2.0'),
+    ('base64', '0.22.1'),
+    ('bincode', '1.3.3'),
+    ('bitflags', '1.3.2'),
+    ('block-buffer', '0.10.4'),
+    ('bstr', '1.11.0'),
+    ('bumpalo', '3.16.0'),
+    ('byteorder', '1.5.0'),
+    ('cc', '1.2.2'),
+    ('cfg-if', '1.0.0'),
+    ('chrono', '0.4.38'),
+    ('clap', '4.5.22'),
+    ('clap_builder', '4.5.22'),
+    ('clap_derive', '4.5.18'),
+    ('clap_lex', '0.7.3'),
+    ('colorchoice', '1.0.3'),
+    ('console', '0.15.8'),
+    ('core-foundation-sys', '0.8.7'),
+    ('crc32fast', '1.4.2'),
+    ('crypto-common', '0.1.6'),
+    ('deranged', '0.3.11'),
+    ('digest', '0.10.7'),
+    ('encode_unicode', '0.3.6'),
+    ('equivalent', '1.0.1'),
+    ('flate2', '1.0.35'),
+    ('fnv', '1.0.7'),
+    ('fxhash', '0.2.1'),
+    ('generic-array', '0.14.7'),
+    ('hashbrown', '0.15.2'),
+    ('heck', '0.5.0'),
+    ('html-escape', '0.2.13'),
+    ('iana-time-zone', '0.1.61'),
+    ('iana-time-zone-haiku', '0.1.2'),
+    ('indexmap', '2.7.0'),
+    ('indicatif', '0.17.9'),
+    ('is_terminal_polyfill', '1.70.1'),
+    ('itoa', '1.0.14'),
+    ('js-sys', '0.3.74'),
+    ('lazy_static', '1.5.0'),
+    ('libc', '0.2.167'),
+    ('linked-hash-map', '0.5.6'),
+    ('log', '0.4.22'),
+    ('md-5', '0.10.6'),
+    ('memchr', '2.7.4'),
+    ('miniz_oxide', '0.8.0'),
+    ('normpath', '1.3.0'),
+    ('num-conv', '0.1.0'),
+    ('num-traits', '0.2.19'),
+    ('number_prefix', '0.4.0'),
+    ('once_cell', '1.20.2'),
+    ('onig', '6.4.0'),
+    ('onig_sys', '69.8.1'),
+    ('opener', '0.6.1'),
+    ('pkg-config', '0.3.31'),
+    ('plist', '1.7.0'),
+    ('portable-atomic', '1.10.0'),
+    ('powerfmt', '0.2.0'),
+    ('proc-macro2', '1.0.92'),
+    ('quick-xml', '0.32.0'),
+    ('quote', '1.0.37'),
+    ('regex', '1.11.1'),
+    ('regex-automata', '0.4.9'),
+    ('regex-syntax', '0.8.5'),
+    ('ryu', '1.0.18'),
+    ('same-file', '1.0.6'),
+    ('serde', '1.0.215'),
+    ('serde_derive', '1.0.215'),
+    ('serde_json', '1.0.133'),
+    ('shlex', '1.3.0'),
+    ('strsim', '0.11.1'),
+    ('syn', '2.0.90'),
+    ('syntect', '5.2.0'),
+    ('thiserror', '1.0.69'),
+    ('thiserror-impl', '1.0.69'),
+    ('time', '0.3.37'),
+    ('time-core', '0.1.2'),
+    ('time-macros', '0.2.19'),
+    ('tinytemplate', '1.2.1'),
+    ('typenum', '1.17.0'),
+    ('unicode-ident', '1.0.14'),
+    ('unicode-width', '0.1.14'),
+    ('unicode-width', '0.2.0'),
+    ('utf8-width', '0.1.7'),
+    ('utf8parse', '0.2.2'),
+    ('version_check', '0.9.5'),
+    ('walkdir', '2.5.0'),
+    ('wasm-bindgen', '0.2.97'),
+    ('wasm-bindgen-backend', '0.2.97'),
+    ('wasm-bindgen-macro', '0.2.97'),
+    ('wasm-bindgen-macro-support', '0.2.97'),
+    ('wasm-bindgen-shared', '0.2.97'),
+    ('web-time', '1.1.0'),
+    ('winapi', '0.3.9'),
+    ('winapi-i686-pc-windows-gnu', '0.4.0'),
+    ('winapi-util', '0.1.9'),
+    ('winapi-x86_64-pc-windows-gnu', '0.4.0'),
+    ('windows-core', '0.52.0'),
+    ('windows-sys', '0.52.0'),
+    ('windows-sys', '0.59.0'),
+    ('windows-targets', '0.52.6'),
+    ('windows_aarch64_gnullvm', '0.52.6'),
+    ('windows_aarch64_msvc', '0.52.6'),
+    ('windows_i686_gnu', '0.52.6'),
+    ('windows_i686_gnullvm', '0.52.6'),
+    ('windows_i686_msvc', '0.52.6'),
+    ('windows_x86_64_gnu', '0.52.6'),
+    ('windows_x86_64_gnullvm', '0.52.6'),
+    ('windows_x86_64_msvc', '0.52.6'),
+    ('yaml-rust', '0.4.5'),
+]
+
+sanity_check_paths = {
+    'files': ['bin/tlparse'],
+    'dirs': [],
+}
+
+sanity_check_commands = [
+    'tlparse --version',
+]
+
+moduleclass = 'tools'