Related Issues (20)
- 2nd compile of deepcopy(model) fails on multiple ubuntu-pc (fatal error: Python.h: file not found) HOT 1
- [Dynamo][TVM] TVM backend not work on macOS nor Linux aarch64
- optional memory leak with torch.jit.script on models with fft
- Stateless random numbers HOT 1
- Fake tensor support of distributed ops in FX graph tracing HOT 3
- PyTorch fails to build on ppc64le HOT 1
- Unable to record Memory consumption with `torch.cuda.memory._record_memory_history()` HOT 1
- AMP guards recompilation `dtype mismatch. expected Half, actual Float` HOT 33
- Class name displayed incorrectly
- torch.compile Jamba: Scheduler Error in codegen for ComputedBuffer HOT 1
- torch.compile with Custom tensor subclass doesn't inline the tensor subclass methods
- More economical use of FX nodes when generating symbolic shapes related manipulations HOT 3
- torch.compile Jamba: long compilation time with backend="eager" HOT 1
- Inlining nn modules and FSDP HOT 1
- [dynamo] Dynamo traces through __torch_dispatch__ on custom tensor subclasses HOT 1
- [inductor] Lowering error with torch.full
- `swap_tensors` fail when calling `nn.Module.to` on XLA `DDP` wrapped models. HOT 9
- PyTorch trunk is frequently broken HOT 15
- [aot autograd][inline inbuilt nn modules] AOT Autograd changes _version different from eager HOT 6
- torch.utils.flop_counter.FlopCounterMode doesn't work well with compiled model
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