mirror of https://github.com/llvm/torch-mlir
29 lines
1.2 KiB
MLIR
29 lines
1.2 KiB
MLIR
// RUN: npcomp-opt -split-input-file -verify-diagnostics %s -torch-verify-invariants-before-backend-lowering
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// -----
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func @unknown_rank(%arg0: !torch.vtensor<[],f32>) {
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// expected-error@+2 {{unsupported by backend lowering: tensor with unknown rank or dtype}}
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// expected-note@+1 {{this is likely due to a missing case in RefineTypes}}
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%0 = torch.aten.mul.Tensor %arg0, %arg0 : !torch.vtensor<[],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<*,f32>
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return
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}
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// -----
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func @unknown_dtype(%arg0: !torch.vtensor<[],f32>) {
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// expected-error@+2 {{unsupported by backend lowering: tensor with unknown rank or dtype}}
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// expected-note@+1 {{this is likely due to a missing case in RefineTypes}}
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%0 = torch.aten.mul.Tensor %arg0, %arg0 : !torch.vtensor<[],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[],unk>
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return
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}
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// -----
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func @unresolved_operator(%arg0: !torch.vtensor<[],f32>, %arg1: !torch.int) {
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// expected-error@+2 {{unsupported by backend lowering: `torch.operator` op}}
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// expected-note@+1 {{this is likely due to a missing op that needs to be generated by torch_ods_gen.py}}
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torch.operator "aten.mul.Scalar"(%arg0, %arg1) : (!torch.vtensor<[],f32>, !torch.int) -> !torch.vtensor<[],f32>
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return
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}
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