ROCm / pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration
http://pytorch.org
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[release/2.3] skip test_autocast_rnn #1539

Closed dnikolaev-amd closed 1 month ago

dnikolaev-amd commented 1 month ago

Test was enabled in the upstream https://github.com/pytorch/pytorch/pull/121539 But failed with "AssertionError: Tensor-likes are not close! Mismatched elements: 30 / 30 (100.0%)" in release/2.3 and rocm6.3_internal_testing on MI300 and passed on MI210 Pass with AMD_LOG_LEVEL=3 on MI300 Need to dig deeper Skip TestCuda::test_autocast_rnn as in other releases (https://ontrack-internal.amd.com/browse/SWDEV-468117) release/2.1 https://github.com/ROCm/pytorch/blob/073f5dcaebc61b69a71de8918e574053bf95c40b/test/test_cuda.py#L2023 release/2.2 https://github.com/ROCm/pytorch/blob/a3208baad2f2d537f10362fe9ca30f60ff5aea21/test/test_cuda.py#L2047