mirror of https://github.com/llvm/torch-mlir
71 lines
2.4 KiB
MLIR
71 lines
2.4 KiB
MLIR
// RUN: npcomp-opt -torch-globalize-object-graph -verify-diagnostics -split-input-file %s
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torch.class_type @c1 {}
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torch.class_type @c2 {}
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// expected-note @+1 {{see other root module here}}
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torch.nn_module {} : !torch.nn.Module<"c1">
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// expected-error @+1 {{found more than one root module (module that is not a child of any other module)}}
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torch.nn_module {} : !torch.nn.Module<"c2">
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// -----
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torch.class_type @child {
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torch.attr "float" : !torch.float
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}
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torch.class_type @parent {
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torch.attr "m" : !torch.nn.Module<"child">
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torch.attr "m2" : !torch.nn.Module<"child">
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}
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%c42 = torch.constant.float 42.0
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// expected-error @+1 {{reachable by multiple paths from root object: '<root>.m' and '<root>.m2'}}
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%child = torch.nn_module {
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torch.slot "float", %c42 : !torch.float
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} : !torch.nn.Module<"child">
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%parent = torch.nn_module {
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torch.slot "m", %child : !torch.nn.Module<"child">
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torch.slot "m2", %child : !torch.nn.Module<"child">
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} : !torch.nn.Module<"parent">
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// -----
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torch.class_type @c {
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torch.attr "t1" : !torch.tensor
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torch.attr "t2" : !torch.tensor
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}
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// expected-error @+1 {{potentially-aliased value used to initialize multiple slots}}
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%t = torch.tensor.literal(dense<1.000000e+00> : tensor<1xf32>) : !torch.tensor
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torch.nn_module {
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torch.slot "t1", %t : !torch.tensor
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torch.slot "t2", %t : !torch.tensor
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} : !torch.nn.Module<"c">
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builtin.func private @use_slot(%arg0 : !torch.nn.Module<"c">) -> !torch.tensor {
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%t1 = torch.prim.GetAttr %arg0["t1"] : !torch.nn.Module<"c"> -> !torch.tensor
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%t2 = torch.prim.GetAttr %arg0["t2"] : !torch.nn.Module<"c"> -> !torch.tensor
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%cst = torch.constant.int 1
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%ret = torch.aten.add.Tensor %t1, %t2, %cst : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
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return %ret : !torch.tensor
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}
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// -----
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torch.class_type @c {
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torch.attr "t1" : !torch.tensor
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torch.attr "t2" : !torch.tensor
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}
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// expected-error @+1 {{potentially-aliased value used to initialize multiple slots}}
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%t = torch.tensor.literal(dense<1.000000e+00> : tensor<1xf32>) : !torch.tensor
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torch.nn_module {
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torch.slot "t1", %t : !torch.tensor
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torch.slot "t2", %t : !torch.tensor
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} : !torch.nn.Module<"c">
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builtin.func private @set_slot(%arg0 : !torch.nn.Module<"c">, %arg1 : !torch.tensor) {
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torch.prim.SetAttr %arg0["t1"] = %arg1: !torch.nn.Module<"c">, !torch.tensor
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torch.prim.SetAttr %arg0["t2"] = %arg1: !torch.nn.Module<"c">, !torch.tensor
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return
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}
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