mirror of https://github.com/llvm/torch-mlir
39d50ccf0d
The E2E tests can be run with ``` npcpy frontends/pytorch/e2e_testing/torchscript/main.py ``` This commit adds a couple items supporting that end, including new sugar for annotations (no more raw use of ClassAnnotator!). Recommended review order: 1. `frontends/pytorch/e2e_testing/torchscript/main.py` for the harness + `basic.py` in that directory for examples of tests. 2. Annotation sugar in `frontends/pytorch/python/torch_mlir/torchscript/annotations.py` and unittest in `frontends/pytorch/test/ivalue_import/annotations/sugar.py` 3. Global test registry / sugar in `frontends/pytorch/python/torch_mlir/torchscript/e2e_test/registry.py` 4. `frontends/pytorch/python/torch_mlir/torchscript/e2e_test/framework.py` for the meat of the testing framework (start at `run_tests`), and looking at the backend configs in `frontends/pytorch/python/torch_mlir/torchscript/e2e_test/configs` for examples of backends. This is likely the bulk of review time. 5. Unit tests of the framework logic in `frontends/pytorch/test/torchscript_e2e_test` There's TODO's scattered throughout, but this seems functional enough to start pulling stuff into and kicking the tires. A few missing pieces: 1. Marking test expected pass/fail per backend. 2. Figuring out how best to fit this into dev workflows. 3. IREE TestConfig. Also, forgive this Python newbie... Any advice on Python code structure / library design would be much appreciated. |
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class-annotator-repr.py | ||
export-error.py | ||
export-recursive.py | ||
export.py | ||
shape-and-dtype-error.py | ||
shape-and-dtype.py | ||
sugar.py |