mirror of https://github.com/llvm/torch-mlir
d1ed6d260e
* This extracts metadata from python invocations (nearly) sufficient to generate ODS and a Torch IR translation table for most of the ops. * It also has the side effect of creating a data structure with meaningfully runnable examples suitable for an automated regression test. * There are some ops that are sufficiently complex/weird (like _convolution) that we'll just manually handle those. * See example output: https://gist.github.com/stellaraccident/60a58457b15e9184e224fa98a2658769 |
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| .. | ||
| compiler | ||
| dialect | ||
| frontends | ||
| torch | ||
| tracing | ||
| utils | ||
| __init__.py | ||
| decorators.py | ||
| exporter.py | ||
| smoketest.py | ||
| types.py | ||