mirror of https://github.com/llvm/torch-mlir
7731211d02
This was an experimental attempt at rolling out own op-by-op executor with `__torch_dispatch__`, but it proved difficult to make it robust. Op-by-op execution is very easy to implement robustly now with the PyTorch 2.0 stack, so we don't need eager_mode. Downstream users were using eager_mode to implement lockstep numerical accuracy debuggers. We implemented the same functionality with TorchDynamo in https://github.com/llvm/torch-mlir/pull/1681 so now there is not much reason to continue maintaining it. |
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| .. | ||
| __init__.py | ||
| lazy_tensor_core.py | ||
| linalg_on_tensors_backend.py | ||
| mhlo_backend.py | ||
| native_torch.py | ||
| torchdynamo.py | ||
| torchscript.py | ||
| tosa_backend.py | ||
| utils.py | ||