torch-mlir/frontends/pytorch/python
Yi Zhang 85ff8b692b Fix compilation errors from MT model
With the following changes the compilation can continue until
RefineTypes pass:

- Add operators without ODS into `torch_ods_gen.py`
- Add some new optional and list types in `TorchTypes.td`
- Add some folders for aten int type comparator ops
- Modify GlobalizeObjectGraph.cpp. For global slots that's not used,
dont check if an aliased value is stored in more than one of global
slots. This can work around a failure where the same tensor is stored
in multiple "version" slots which are not used.
2021-08-16 16:37:23 -04:00
..
torch_mlir Add E2E support for tests with heavy dependencies (heavydep tests). 2021-08-03 14:09:56 -07:00
torch_mlir_torchscript E2E framework: Add support for list/dict/scalar values 2021-08-11 10:55:43 -07:00
torch_mlir_torchscript_e2e_test_configs E2E framework: Add support for list/dict/scalar values 2021-08-11 10:55:43 -07:00
torch_mlir_utils/codegen Fix compilation errors from MT model 2021-08-16 16:37:23 -04:00
CMakeLists.txt Rework the python build to a static assembly of MLIR+NPCOMP (#251) 2021-07-27 16:10:10 -07:00