mirror of https://github.com/llvm/torch-mlir
164 lines
4.0 KiB
MLIR
164 lines
4.0 KiB
MLIR
// RUN: npcomp-opt <%s -split-input-file -verify-diagnostics
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// -----
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torch.class_type @c {}
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%0 = torch.nn_module {
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// expected-error @+1 {{'func' op is not allowed inside 'torch.nn_module'}}
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func @f()
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} : !torch.nn.Module<"c">
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// -----
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torch.class_type @c {}
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%c0 = torch.constant.int 0
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// expected-error @+1 {{number of 'torch.slot's in a 'torch.nn_module' must match number of 'torch.attr's in the corresponding 'torch.class_type'}}
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%0 = torch.nn_module {
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torch.slot "f", %c0 : !torch.int
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} : !torch.nn.Module<"c">
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// -----
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torch.class_type @c {
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// expected-note @+1 {{see torch.attr at corresponding index 0 here}}
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torch.attr "g" : !torch.int
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}
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%c0 = torch.constant.int 0
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%0 = torch.nn_module {
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// expected-error @+1 {{'torch.slot' op is expected to match type and name of 'torch.attr "g" : !torch.int'}}
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torch.slot "f", %c0 : !torch.int
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} : !torch.nn.Module<"c">
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// -----
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torch.class_type @c {
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// expected-error @+1 {{'func' op is not allowed inside `torch.class_type`}}
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func @f()
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}
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// -----
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// expected-error @+1 {{has duplicate attr/method with name 'a'}}
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torch.class_type @c {
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// expected-note @+1 {{see first conflicting attr/method here}}
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torch.attr "a" : !torch.int
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// expected-note @+1 {{see second conflicting attr/method here}}
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torch.attr "a" : !torch.int
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}
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// -----
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torch.class_type @c {
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// expected-error @+1 {{'@invalidSym' does not reference a valid function}}
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torch.method "f", @invalidSym
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}
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// -----
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torch.class_type @c {
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// expected-error @+1 {{'@f' must reference a private function}}
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torch.method "f", @f
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}
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func @f(%arg0: !torch.nn.Module<"c">) {
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return
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}
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// -----
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torch.class_type @c {
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// expected-error @+1 {{'@f' must reference a function that is defined (not merely declared)}}
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torch.method "f", @f
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}
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func private @f(%arg0: !torch.nn.Module<"c">)
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// -----
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func private @f() {
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return
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}
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torch.class_type @c {
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// expected-error @+1 {{the referenced function 'f' must have a first argument of type '!torch.nn.Module<"c">'}}
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torch.method "f", @f
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}
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// -----
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func private @f(!torch.nn.Module<"other_c">) {
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return
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}
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torch.class_type @c {
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// expected-error @+1 {{the referenced function 'f' must have a first argument of type '!torch.nn.Module<"c">'}}
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torch.method "f", @f
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}
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// -----
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// expected-error @+1 {{'a' does not reference a valid class type}}
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%m = torch.nn_module {} : !torch.nn.Module<"a">
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// -----
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// expected-error @+1 {{'torch.type_bound' must be attached to an argument of !torch.tensor/!torch.vtensor type}}
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func @f(%arg0: i32 {torch.type_bound = !torch.tensor<*,f32>})
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// -----
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// expected-error @+1 {{'torch.type_bound' must be TypeAttr}}
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func @f(%arg0: i32 {torch.type_bound = 1})
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// -----
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// expected-error @+1 {{'torch.type_bound' must be of !torch.tensor/!torch.vtensor type}}
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func @f(%arg0: i32 {torch.type_bound = i32})
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// -----
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func @derefine(%arg0: !torch.optional<tensor<f32>>) -> tensor<f32> {
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// expected-error @+1 {{operand type '!torch.optional<tensor<f32>>' and result type 'tensor<f32>' are cast incompatible}}
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%0 = torch.derefine %arg0 : !torch.optional<tensor<f32>> to tensor<f32>
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return %0 : tensor<f32>
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}
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// -----
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// expected-error @+1 {{invalid dtype 'tuple<>' for !torch.tensor type}}
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func private @tensor.invalid_dtype() -> !torch.tensor<*,tuple<>>
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// -----
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func @torch.tensor() {
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// Incompatible shape.
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// expected-error@+1 {{incompatible}}
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%0 = torch.tensor(dense<42.0> : tensor<3x2xf32>) : !torch.vtensor<[],f32>
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return
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}
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// -----
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func @torch.tensor() {
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// Incompatible dtype.
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// expected-error@+1 {{incompatible}}
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%0 = torch.tensor(dense<42.0> : tensor<f32>) : !torch.vtensor<[],f64>
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return
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}
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// -----
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func @torch.tensor() {
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// Incompatible type.
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// expected-error@+1 {{incompatible}}
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%0 = torch.tensor(dense<42.0> : tensor<f32>) : i1
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return
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}
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// -----
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func @torch.prim.ListConstruct() {
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%int2 = torch.constant.int 2
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// expected-error@+1 {{operand types should have the same type as the list contained type}}
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torch.prim.ListConstruct %int2 : (!torch.int) -> !torch.list<!torch.tensor>
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return
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}
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