mirror of https://github.com/llvm/torch-mlir
163fa57cde
In the `pyhpc_turbulent_kinetic_energy` TorchBench benchmark, the shape calculation occurs inside loops, but because `DropShapeCalculationsPass` does not explicitly mark the Torch dialect as legal, the pass execution fails. This patch adds Torch to the list of legal dialects, and adds a test to validate the translation. |
||
|---|---|---|
| .. | ||
| GlobalizeObjectGraph | ||
| adjust-calling-conventions.mlir | ||
| canonicalize.mlir | ||
| decompose-complex-ops.mlir | ||
| drop-shape-calculations.mlir | ||
| inline-global-slots.mlir | ||
| invalid.mlir | ||
| maximize-value-semantics.mlir | ||
| ops.mlir | ||
| prepare-for-globalize-object-graph.mlir | ||
| promote-types.mlir | ||
| reduce-op-variants-error.mlir | ||
| reduce-op-variants.mlir | ||
| refine-public-return.mlir | ||
| refine-types-branch.mlir | ||
| refine-types-ops.mlir | ||
| refine-types.mlir | ||
| reify-shape-calculations.mlir | ||
| simplify-shape-calculations.mlir | ||