torch-mlir/test/Dialect/Torch/globalize-object-graph-free...

42 lines
1.7 KiB
MLIR

// RUN: npcomp-opt -torch-globalize-object-graph -split-input-file %s | FileCheck %s
torch.class_type @c {
torch.attr "float" : f64
torch.method "calls_free_function", @calls_free_function
}
// CHECK-LABEL: func private
// CHECK-SAME: @free_function$[[$MONOMORPHIZE_TAG0:.*]](
// CHECK-SAME: %[[F:.*]]: f64) -> f64 {
// CHECK: return %[[F]] : f64
// CHECK: }
func private @free_function(%arg0: f64, %arg1: !torch.nn.Module<"c">) -> f64 {
return %arg0 : f64
}
// CHECK-LABEL: func private
// CHECK-SAME: @free_function_no_module_args$[[$MONOMORPHIZE_TAG1:.*]](
// CHECK-SAME: %[[F:.*]]: f64) -> f64 {
// CHECK: return %[[F]] : f64
// CHECK: }
func private @free_function_no_module_args(%arg0: f64) -> f64 {
return %arg0 : f64
}
// CHECK-LABEL: func @calls_free_function() -> f64 {
// CHECK: %[[F1:.*]] = torch.global_slot.get @float : f64
// CHECK: %[[F2:.*]] = call @free_function$[[$MONOMORPHIZE_TAG0]](%[[F1]]) : (f64) -> f64
// CHECK: %[[RET:.*]] = call @free_function_no_module_args$[[$MONOMORPHIZE_TAG1]](%[[F2]]) : (f64) -> f64
// CHECK: return %[[RET]] : f64
// CHECK: }
func private @calls_free_function(%arg0: !torch.nn.Module<"c">) -> f64 {
%0 = torch.prim.GetAttr %arg0["float"] : !torch.nn.Module<"c"> -> f64
%1 = call @free_function(%0, %arg0) : (f64, !torch.nn.Module<"c">) -> f64
%2 = call @free_function_no_module_args(%1) : (f64) -> f64
return %2 : f64
}
%c42 = std.constant 42.0 : f64
torch.nn_module {
torch.slot "float", %c42 : f64
} : !torch.nn.Module<"c">