Comments (1)
Confirmed that if one comments out @functools.lru_cache()
from _shadowed_dict_from_mro_tuple
in inspect.py
, the test passes.
from pytorch.
Related Issues (20)
- DISABLED test_variable_traverse (__main__.TestAutogradWithCompiledAutograd) HOT 3
- ROCm: `fatal error: aotriton/flash.h: No such file or directory` when building with `USE_ROCM=1`
- torch.Library can easily cause segfault on loading/unloading HOT 1
- [Inductor] [Distributed] DDP torch.compile model hangs on exit (python 3.8/3.9) HOT 1
- torch.no_grad() is not working for dynamo inductor backend HOT 2
- Improved strategy for dealing with deterministically flaky tests which are order sensitive HOT 2
- DISABLED test_bmm_multithreaded (__main__.TestTorch) HOT 1
- omp.h not found on macOS during install from source at github repo HOT 1
- support methods for torch.compiler.allow_in_graph HOT 2
- [export] Add customization API for unflattener to control restored module types.
- RuntimeError: could not create a primitive descriptor for a matmul primitive HOT 2
- AssertionError: Device mps not supported HOT 1
- TorchInductor compile with trace.graph_diagram errors out
- [export] linalg ops after core aten decomposition
- Profiler Kineto Config: Warning: Failed to recover relationship between all profiler and kineto events: 51361 vs. 0 reassociated. (function reassociate) HOT 1
- [dynamo] Crash when context manager is argument to a function
- DISABLED test_matmul_small_brute_force_1d_Nd_cuda_float32 (__main__.TestLinalgCUDA) HOT 3
- H100 Max Autotune Compilation Significantly Slower than A100
- torch.compile + constructing an nn.Parameter + mutating it can give wrong results HOT 1
- torch.compile errors on torch.autograd.backward HOT 1
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from pytorch.