Related Issues (20)
- torch.onnx.export with dynamic axes fails for torch.nn.InstanceNorm1d with track_running_stats=True
- [MITIGATED] Migration to Amazon Linux 23 - issues with nvidia driver
- crash@sleef_tryVXE2 () while trying to run torch.compile() BERT model HOT 8
- torch.onnx.export - `repeat_interleave` produces invalid model HOT 1
- [inductor][cpu] AMP models static/dynamic default/CPP wrapper accuracy/performance crash in 2024-06-08 nightly release HOT 3
- elements of STL get converted to an `IValue` and cannot be converted to an STL.
- [inductor][cpu]LayoutLMForSequenceClassification AMP single threadstatic/dynamic shape default/CPP wrapper accuracy failure HOT 6
- [inductor][cpu]hf_BigBird AMP multiple thread static/dynamic shape default/CPP wrapper performance regression HOT 4
- subscript on top of range not handled correctly in dynamo HOT 2
- test/dynamo/test_torchrec.py doesn't run in OSS CI (and won't run locally) HOT 1
- torch.library.custom_op doesn't work with multithreading
- torch.library.custom_op's needs_input_grad is wrong with TensorList inputs
- [torch.compile] Llama2 failure using dynamic shapes with Torch 2.4 nightly HOT 1
- DISABLED test_segfault (__main__.TestDataLoader) HOT 3
- aot_export_module produces unserializable GraphModules
- Dynamo graph breaks when passing a constant value to a nn module initialized within a function
- MaskedTensor do not support _is_any_true`
- internal asset failure HOT 1
- post grad batch linear fusion performs unsafe optimization when inlining nn modules HOT 3
- NotImplementedError: Could not run 'quantized::linear' with arguments from the 'CPU' backend. 'quantized::linear' is only available for these backends: [QuantizedCPU, QuantizedCUDA, BackendSelect, Python,....] HOT 1
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