llvm
/
torch-mlir
mirror of https://github.com/llvm/torch-mlir
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

convert to double before float materialization in scalarize shapes (#3887) 

Addresses a bug when trying to materialize a non fp64 attr to a constant
float op in scalarize shapes.
main
zjgarvey 2024-11-22 14:05:24 -06:00 committed by GitHub
parent 1b8d7e094b
commit 0913b967ac
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
2 changed files with 28 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
lib/Dialect/Torch/Transforms/ScalarizeShapes.cpp
View File

@ -37,8 +37,8 @@ LogicalResult materializeFolds(ImplicitLocOpBuilder b,
if (auto attr = dyn_cast<Attribute>(f)) {
if (auto val = dyn_cast<FloatAttr>(attr)) {
values.push_back(b.create<Torch::ConstantFloatOp>(
b.getType<Torch::FloatType>(), val));
values.push_back(
b.create<Torch::ConstantFloatOp>(APFloat(val.getValueAsDouble())));
continue;
}

26
test/Dialect/Torch/scalarize-shapes.mlir
View File

@ -85,6 +85,32 @@ func.func @cast_int_float(%arg0 : !torch.vtensor<[5,?,?],f32>) -> !torch.vtensor
// -----
// CHECK-LABEL: @cast_int_float_static
func.func @cast_int_float_static(%arg0 : !torch.vtensor<[5,?,?],f32>) -> !torch.vtensor<[3],f32> {
// CHECK: %[[FLOAT1:.*]] = torch.constant.float 1.000000e+00
// CHECK: %[[FLOAT2:.*]] = torch.constant.float 2.000000e+00
// CHECK: %[[FLOAT3:.*]] = torch.constant.float 3.000000e+00
// CHECK: %[[LIST:.*]] = torch.prim.ListConstruct %[[FLOAT1:.*]], %[[FLOAT2:.*]], %[[FLOAT3:.*]] : (!torch.float, !torch.float, !torch.float) -> !torch.list<float>
// CHECK: %[[NONE:.*]] = torch.constant.none
// CHECK: %[[FALSE:.*]] = torch.constant.bool false
// CHECK: %[[TENSOR:.*]] = torch.aten.tensor %[[LIST]], %[[NONE]], %[[NONE]], %[[FALSE]] : !torch.list<float>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],f32>
// CHECK: return %[[TENSOR]] : !torch.vtensor<[3],f32>
%int6 = torch.constant.int 6
%false = torch.constant.bool false
%none = torch.constant.none
%shape = torch.vtensor.literal(dense<[1,2,3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
%cast_shape = torch.aten.to.dtype %shape, %int6, %false, %false, %none : !torch.vtensor<[3],si64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[3],f32>
%dim = torch.constant.int 0
%idx0 = torch.vtensor.literal(dense<0> : tensor<si64>) : !torch.vtensor<[],si64>
%select0 = torch.aten.index_select %cast_shape, %dim, %idx0 : !torch.vtensor<[3],f32>, !torch.int, !torch.vtensor<[],si64> -> !torch.vtensor<[],f32>
%item0 = torch.aten.item %select0 : !torch.vtensor<[],f32> -> !torch.float
%item_int0 = torch.aten.Int.Scalar %item0 : !torch.float -> !torch.int
%list = torch.prim.ListConstruct %item_int0 : (!torch.int) -> !torch.list<int>
return %cast_shape : !torch.vtensor<[3],f32>
}
// -----
// CHECK-LABEL: @shape_as_tensor_dim_item
func.func @shape_as_tensor_dim_item(%arg0 : !torch.vtensor<[5,?,?],f32>) -> !torch.int {
// CHECK-DAG: %[[INT1:.+]] = torch.constant.int 1