mirror of https://github.com/llvm/torch-mlir
f6d7ee06ef
* This has been anticipated for a long time in that it is quite hard to keep C++ binary compatibility across a system landscape as diverse as PyTorch, LLVM, and this project. This is why we based the PyTorch extension on the MLIR and NPCOMP C APIs only: that is the only sane linkage story for the entire matrix. * Removes the few LLVM'isms in torch_mlir that had snuck in, using either STL or PyTorch support utilities. The new rule here is that LLVM C++ includes are forbidden at this level and (as stated in the design), torch_mlir should use the PyTorch runtime and support libraries (not introduce an incidental C++ dependency on LLVM). * Also deletes mnist-playground as it was proving impossible to keep the grid of PyTorch vs system ABI divisions functioning. I am open to a less drastic course here (optional/disabled by default?) * This gets us pretty close to just using PyTorch's extension builder API, which will be nice for distribution (i.e. it integrates well with the PyTorch ecosystem for deployment). I ended up just simplifying the in-tree CMake support for now. * Fixes #138 |
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| .. | ||
| acap_dispatch.cpp | ||
| acap_dispatch.h | ||
| debug.cpp | ||
| debug.h | ||
| func_builder.cpp | ||
| func_builder.h | ||
| graph_importer.cpp | ||
| graph_importer.h | ||
| mlir_utils.h | ||
| module_builder.cpp | ||
| module_builder.h | ||
| python_bindings.cpp | ||