mirror of https://github.com/llvm/torch-mlir
442ff4605c
- This commit decomposes the `aten.batch_norm` op into the `aten.native_batch_norm` op, instead of lowering it to the `linalg.generic` op. - It also adds run-time asserts in the `aten.native_batch_norm` lowering to make sure that the shape of the weight, bias, running_mean, and running_var must match the num of features. - Since the `aten.native_batch_norm` op is not supported at TOSA backend, all the modules that are dependent on the `aten.native_batch_norm` op will fail and therefore they should be removed from the TOSA `passing` set. - It also moves `checkNotNone` to utility. Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com> |
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| .. | ||
| TorchToLinalg | ||
| TorchToSCF | ||
| TorchToStd | ||
| TorchToTosa | ||
| CMakeLists.txt | ||
| PassDetail.h | ||
| Passes.cpp | ||