mirror of https://github.com/llvm/torch-mlir
66 lines
3.6 KiB
MLIR
66 lines
3.6 KiB
MLIR
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// RUN: npcomp-opt -torch-globalize-object-graph -split-input-file %s | FileCheck %s
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torch.class_type @__torch__.TestModule {
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torch.attr private "s1" : !torch.nn.Module<"__torch__.Submodule">
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torch.attr private "s2" : !torch.nn.Module<"__torch__.Submodule">
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torch.method "forward", @__torch__.TestModule.forward
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}
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torch.class_type @__torch__.Submodule {
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torch.attr private "n" : i64
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torch.method private "forward", @__torch__.Submodule.forward
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}
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%num1_i64 = basicpy.numeric_constant 1 : i64
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%s1 = torch.nn_module {
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// CHECK-LABEL: torch.global_slot "private" @s1.n : i64 {
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// CHECK: %[[C1:.*]] = basicpy.numeric_constant 1 : i64
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// CHECK: torch.global_slot.init %[[C1]] : i64
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// CHECK: }
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torch.slot "n", %num1_i64 : i64
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} : !torch.nn.Module<"__torch__.Submodule">
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%num2_i64 = basicpy.numeric_constant 2 : i64
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%s2 = torch.nn_module {
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// CHECK-LABEL: torch.global_slot "private" @s2.n : i64 {
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// CHECK: %[[C2:.*]] = basicpy.numeric_constant 2 : i64
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// CHECK: torch.global_slot.init %[[C2]] : i64
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// CHECK: }
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torch.slot "n", %num2_i64 : i64
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} : !torch.nn.Module<"__torch__.Submodule">
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%3 = torch.nn_module {
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torch.slot "s1", %s1 : !torch.nn.Module<"__torch__.Submodule">
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torch.slot "s2", %s2 : !torch.nn.Module<"__torch__.Submodule">
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} : !torch.nn.Module<"__torch__.TestModule">
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// CHECK-LABEL: func @forward() {
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// CHECK: call @s1.forward() : () -> ()
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// CHECK: call @s2.forward() : () -> ()
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// CHECK: return
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func private @__torch__.TestModule.forward(%arg0: !torch.nn.Module<"__torch__.TestModule">) {
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%4 = torch.prim.GetAttr %arg0["s1"] : !torch.nn.Module<"__torch__.TestModule"> -> !torch.nn.Module<"__torch__.Submodule">
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%5 = torch.prim.GetAttr %arg0["s2"] : !torch.nn.Module<"__torch__.TestModule"> -> !torch.nn.Module<"__torch__.Submodule">
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call @__torch__.Submodule.forward(%4) : (!torch.nn.Module<"__torch__.Submodule">) -> ()
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call @__torch__.Submodule.forward(%5) : (!torch.nn.Module<"__torch__.Submodule">) -> ()
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return
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}
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// CHECK-LABEL: func private @s1.forward() {
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// CHECK: %[[C1:.*]] = constant 1 : i64
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// CHECK: %[[N:.*]] = torch.global_slot.get @s1.n : i64
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// CHECK: %[[NEWVAL:.*]] = torch.kernel_call "aten::add" %[[N]], %[[C1]] : (i64, i64) -> i64 {sigArgTypes = ["int", "int"], sigIsMutable = false, sigIsVararg = false, sigIsVarret = false, sigRetTypes = ["int"]}
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// CHECK: torch.global_slot.set @s1.n = %[[NEWVAL]] : i64
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// CHECK: return
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// CHECK-LABEL: func private @s2.forward() {
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// CHECK: %[[C1:.*]] = constant 1 : i64
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// CHECK: %[[N:.*]] = torch.global_slot.get @s2.n : i64
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// CHECK: %[[NEWVAL:.*]] = torch.kernel_call "aten::add" %[[N]], %[[C1]] : (i64, i64) -> i64 {sigArgTypes = ["int", "int"], sigIsMutable = false, sigIsVararg = false, sigIsVarret = false, sigRetTypes = ["int"]}
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// CHECK: torch.global_slot.set @s2.n = %[[NEWVAL]] : i64
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// CHECK: return
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func private @__torch__.Submodule.forward(%arg0: !torch.nn.Module<"__torch__.Submodule">) {
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%c1_i64 = constant 1 : i64
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%5 = torch.prim.GetAttr %arg0["n"] : !torch.nn.Module<"__torch__.Submodule"> -> i64
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%6 = torch.kernel_call "aten::add" %5, %c1_i64 : (i64, i64) -> i64 {sigArgTypes = ["int", "int"], sigIsMutable = false, sigIsVararg = false, sigIsVarret = false, sigRetTypes = ["int"]}
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torch.prim.SetAttr %arg0["n"] = %6 : !torch.nn.Module<"__torch__.Submodule">, i64
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return
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}
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