torch-mlir/python
Dave Liddell 04be6ba773
Make the onnx importer more robust for internal/external and large models (#2794)
Fix for https://github.com/llvm/torch-mlir/issues/2765

The onnx docs say that you can't do shape inference using the in-memory
API for models > 2 GB. This fix replaces that API with the file-based
API. Since the new API generates an intermediate file, also added a
--keep switch to keep that file, which I delete by default.

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Co-authored-by: Dave Liddell <dliddell@xilinx.com>
2024-01-31 21:58:43 -08:00
..
torch_mlir Make the onnx importer more robust for internal/external and large models (#2794) 2024-01-31 21:58:43 -08:00
CMakeLists.txt [ci] Upgrade to new runners and disable unsupported jobs. (#2818) 2024-01-27 18:35:45 -08:00
TorchMLIRModule.cpp Upstream the ONNX importer. (#2636) 2023-12-12 19:02:51 -08:00