[AUTOGENERATED] release/2.11_IFU_20260224#3000
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pragupta wants to merge 5 commits intorelease/2.11from
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[AUTOGENERATED] release/2.11_IFU_20260224#3000pragupta wants to merge 5 commits intorelease/2.11from
pragupta wants to merge 5 commits intorelease/2.11from
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Jenkins build for 9455a8e1be8f1f0656bfb16d463691767794d389 commit finished as FAILURE |
This PR fixes the unit test,
test/test_cuda.py::TestCuda::test_set_per_process_memory_fraction FAILED
[0.1163s]
```
Traceback (most recent call last):
File "/var/lib/jenkins/pytorch/test/test_cuda.py", line 471, in test_set_per_process_memory_fraction
tmp_tensor = torch.empty(application, dtype=torch.int8, device="cuda")
RuntimeError: Trying to create tensor with negative dimension -5681285432: [-5681285432]
```
This error occurs only on gfx1101 arch.
This error is coming from an integer overflow when another unit test,
test/test_cuda.py::TestCuda::test_randint_generation_for_large_numel
creates a tensor with a huge numel, which overflows into a higher
torch.cuda.max_memory_reserved() when you call
test/test_cuda.py::TestCuda::test_set_per_process_memory_fraction
afterward. To avoid this we introduced torch.cuda.empty_cache() and
torch.cuda.reset_peak_memory_stats() to clean up CUDA states.
JIRA: https://ontrack-internal.amd.com/browse/SWDEV-535295
(cherry picked from commit f86d184)
(cherry picked from commit 1b44228)
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…d_memory_with_allocator (#2811) Use try/finally block. This follows a similar pattern elsewhere in test_cuda.py. Fixes #ROCm/TheRock#2118.
…ersistent reduction and no_x_dim removal (#2454) Cherry-pick of #2417 Need to resolve conflicts --------- Co-authored-by: Jack Taylor <108682042+jataylo@users.noreply.github.com> (cherry picked from commit eb47158) [release/2.9][ROCm][inductor] Add ROCm specific persistent reduction config. (#2861) In support of [SWDEV-566103](https://ontrack-internal.amd.com/browse/SWDEV-566103) [release/2.10] Fix Inductor Triton Heuristics (#2931) The ROCm release/2.10 branch was created by applying 15 commits to upstream release/2.10 branch. (See pytorch/pytorch@release/2.10...ROCm:pytorch:release/2.10) This PR fixes the issue with the missing disable_pointwise_autotuning function. There are three commits in this PR: First commit is a revert: 1c96f23 - Autotuning support for persistent reduction since it is already available in upstream release/2.10 and is not needed. (It reintroduced disable_pointwise_autotuning function.) The second commit (b9facd0) is needed for provenance, so I can apply the third commit: e5eee74 - Heuristics improvements for reduction kernels which was reverted last minute before the release/2.10 cutoff and then re-landed shortly afterwards the cutoff date but with a minor change. --------- Co-authored-by: Pandya, Vivek Vasudevbhai <vpandya@qti.qualcomm.com>
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rocm_base: 5decbe0