mirror of https://github.com/llvm/torch-mlir
09f502667b
In one of our downstreams, we encountered an internal assertion failure
in an intermediate pass from `AtenTensorOp::fold` invocation:
```
external/llvm-project/llvm/include/llvm/Support/Casting.h:650: decltype(auto) llvm::dyn_cast(const From &) [To = mlir::torch::Torch::NonValueTensorType, From = mlir::Type]: Assertion `detail::isPresent(Val) && "dyn_cast on a non-existent value"' failed.
```
for this snippet in the IR:
```
%arg1: !torch.tensor {torch.type_bound = !torch.vtensor<[1,1,15360],f32>}
...
%218 = torch.aten.size %arg1 : !torch.tensor -> !torch.list<int>
%219 = torch.aten.tensor %218, %none, %none, %false : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.tensor
```
Turns out this was
[fixed](https://github.com/llvm/torch-mlir/pull/3189/files#diff-dc8ed165c207918e606490eee3984b1ad51d7034e6aac36fc046bf47f6f03f4fR3719)
eventually (and we were on an old hash of torch-mlir). This PR submits
just the lit test for test coverage on that specific change:
```c++
OpFoldResult AtenTensorOp::fold(FoldAdaptor adaptor) {
auto resultTy = dyn_cast<ValueTensorType>(getType());
// lit test this
if (!resultTy || !resultTy.hasSizes() || !resultTy.hasDtype())
return nullptr;
...
```
|
||
|---|---|---|
| .. | ||
| GlobalizeObjectGraph | ||
| adjust-calling-conventions.mlir | ||
| canonicalize.mlir | ||
| decompose-complex-ops-legal.mlir | ||
| decompose-complex-ops.mlir | ||
| drop-abstract-interp-calculations.mlir | ||
| erase-module-initializer.mlir | ||
| fuse-quantized-ops.mlir | ||
| inline-global-slots-analysis.mlir | ||
| inline-global-slots-transform.mlir | ||
| invalid.mlir | ||
| lower-to-backend-contract-error.mlir | ||
| match-quantized-customs-ops.mlir | ||
| maximize-value-semantics.mlir | ||
| ops.mlir | ||
| prepare-for-globalize-object-graph.mlir | ||
| reduce-op-variants-error.mlir | ||
| reduce-op-variants.mlir | ||
| refine-public-return.mlir | ||
| reify-dtype-calculations.mlir | ||
| reify-shape-calculations.mlir | ||
| scalarize-shapes.mlir | ||
| simplify-dtype-calculations.mlir | ||
| simplify-shape-calculations.mlir | ||
| torch-function-to-torch-backend-pipeline.mlir | ||
| torch-nary-canonicalize.mlir | ||
| verify-backend-contract-error.mlir | ||
| verify-backend-contract-unimplemented-op.mlir | ||