Convert onnx Roialign to linalg ir error

env ->
OS: ubuntu 22.04

onnx model:
git clone https://github.com/onnx/onnx.git

in onnx project, the model path is
onnx/onnx/backend/test/data/node/test_roialign_mode_max/model.onnx

torch-mlir version: newest in main branch

run command:
python -m torch_mlir.tools.import_onnx ./model.onnx -o onnx.mlir
torch-mlir-opt onnx.mlir --mlir-print-debuginfo --torch-onnx-to-torch-backend-pipeline -o torch.mlir
torch-mlir-opt torch.mlir --mlir-print-debuginfo --torch-backend-to-linalg-on-tensors-backend-pipeline -o linalg.mlir

onnx ir:
module {
func.func @test_roialign_aligned_false(%arg0: !torch.vtensor<[1,1,10,10],f32>, %arg1: !torch.vtensor<[3,4],f32>, %arg2: !torch.vtensor<[3],si64>) -> !torch.vtensor<[3,1,5,5],f32> attributes {torch.onnx_meta.ir_version = 10 : si64, torch.onnx_meta.opset_version = 22 : si64, torch.onnx_meta.producer_name = "backend-test", torch.onnx_meta.producer_version = ""} {
%none = torch.constant.none
%0 = torch.operator "onnx.RoiAlign"(%arg0, %arg1, %arg2) {torch.onnx.coordinate_transformation_mode = "output_half_pixel", torch.onnx.output_height = 5 : si64, torch.onnx.output_width = 5 : si64, torch.onnx.sampling_ratio = 2 : si64, torch.onnx.spatial_scale = 1.000000e+00 : f32} : (!torch.vtensor<[1,1,10,10],f32>, !torch.vtensor<[3,4],f32>, !torch.vtensor<[3],si64>) -> !torch.vtensor<[3,1,5,5],f32>
return %0 : !torch.vtensor<[3,1,5,5],f32>
}
}

torch ir:
module {
func.func @test_roialign_aligned_false(%arg0: !torch.vtensor<[1,1,10,10],f32>, %arg1: !torch.vtensor<[3,4],f32>, %arg2: !torch.vtensor<[3],si64>) -> !torch.vtensor<[3,1,5,5],f32> attributes {torch.onnx_meta.ir_version = 10 : si64, torch.onnx_meta.opset_version = 22 : si64, torch.onnx_meta.producer_name = "backend-test", torch.onnx_meta.producer_version = ""} {
%int2 = torch.constant.int 2
%int5 = torch.constant.int 5
%float1.000000e00 = torch.constant.float 1.000000e+00
%false = torch.constant.bool false
%int6 = torch.constant.int 6
%none = torch.constant.none
%int1 = torch.constant.int 1
%0 = torch.aten.unsqueeze %arg2, %int1 : !torch.vtensor<[3],si64>, !torch.int -> !torch.vtensor<[3,1],si64>
%1 = torch.aten.to.dtype %0, %int6, %false, %false, %none : !torch.vtensor<[3,1],si64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[3,1],f32>
%2 = torch.prim.ListConstruct %1, %arg1 : (!torch.vtensor<[3,1],f32>, !torch.vtensor<[3,4],f32>) -> !torch.list
%3 = torch.aten.cat %2, %int1 : !torch.list, !torch.int -> !torch.vtensor<[3,5],f32>
%4 = torch.torchvision.roi_align %arg0, %3, %float1.000000e00, %int5, %int5, %int2, %false : !torch.vtensor<[1,1,10,10],f32>, !torch.vtensor<[3,5],f32>, !torch.float, !torch.int, !torch.int, !torch.int, !torch.bool -> !torch.vtensor<[3,1,5,5],f32>
return %4 : !torch.vtensor<[3,1,5,5],f32>
}
}

error:
unknown :0: error: failed to legalize operation 'torch.constant.int'
unknown :0: note: see current operation: %0 = "torch.constant.int"() <{value = 2 : i64}> : () -> !torch.int loc(unknown)

Is this an error or not supported? All ONNX models that include the RoiAlign operator produce errors when converting Torch IR to Linalg IR.

Reproduce with onnx/onnx/backend/test/data/node/test_roialign_mode_max/model.onnx using the three torch-mlir import and lowering commands in the report. Start by tracing the torch.constant.int legalization in the torch-backend-to-linalg-on-tensors-backend-pipeline; done means the RoiAlign model reaches linalg IR without this legalization error.