Closed
Description
🐛 Describe the bug
Testing ToT triton before release/2.8 to assess the issues.
This test fails locally on amd gpus and is not confirmed to be common for cuda.
Affected tests: 1
reproducer: python test/inductor/test_torchinductor_dynamic_shapes.py TestInductorDynamicCPU.test_unbacked_reduction_cpu
error message:
{'message': 'AssertionError: expected to fail, but actually passed\n\nTo execute this test, run the following from the base repo dir:\n python test/inductor/test_torchinductor_dynamic_shapes.py TestInductorDynamicCPU.test_unbacked_reduction_cpu\n\nThis message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0', 'text': 'Traceback (most recent call last):\n File "/tmp/pytorch/test/inductor/test_torchinductor_dynamic_shapes.py", line 498, in test_unbacked_reduction\n self.fail("expected to fail, but actually passed")\n File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 675, in fail\n raise self.failureException(msg)\nAssertionError: expected to fail, but actually passed\n\nTo execute this test, run the following from the base repo dir:\n python test/inductor/test_torchinductor_dynamic_shapes.py TestInductorDynamicCPU.test_unbacked_reduction_cpu\n\nThis message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0'}
Versions
upstream pytorch + triton commit: triton-lang/triton@2ec711b
cc @chauhang @penguinwu @bertmaher @int3 @davidberard98 @nmacchioni @chenyang78 @embg @peterbell10 @aakhundov