mirror of https://github.com/llvm/torch-mlir
158c5c484d
This required restructuring of how we model TorchScript on import. The
main difference is that now we split out a `torch.class_type` that holds
methods and declarations of the types of each slot. This is more
consistent with TorchScript (our previous representation was
"denormalized").
Recommended reading order:
1. check out the description of `torch.class_type` in `TorchOps.td` and
look at `test/Dialect/Torch/ops.mlir` and
`frontends/pytorch/test/module_import/` to familiarize with the new
representation.
- Just look at the new IR. The diff between the old names and new
names is confusing.
2. check out `test/Dialect/Torch/globalize-object-graph*.mlir`
and read along with the pass description in
`include/npcomp/Dialect/Torch/Transforms/Passes.td`
3. Read the code in `GlobalizeObjectGraph.cpp` and miscellaneous changes
in `ivalue_importer.cpp`, `TorchOps.cpp`, etc.
|
||
|---|---|---|
| .. | ||
| list.py | ||
| methods-debuggable-ir.py | ||
| methods-locations.py | ||
| methods.py | ||
| object-identity-error-submodule.py | ||
| object-identity-error.py | ||
| object-identity-torch-bug.py | ||
| object-identity.py | ||
| prim.py | ||
| primitives.py | ||
| submodules-select.py | ||
| submodules.py | ||
| tensors.py | ||