torch-mlir/test/Dialect/Torch/GlobalizeObjectGraph/basic.mlir

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1.5 KiB
MLIR

// RUN: npcomp-opt -torch-globalize-object-graph -split-input-file %s | FileCheck %s
// Basic case.
// CHECK-LABEL: torch.global_slot @b : !torch.bool {
// CHECK: %[[INIT:.*]] = torch.constant.bool true
// CHECK: torch.global_slot.init %[[INIT]] : !torch.bool
// CHECK: }
// CHECK-LABEL: torch.global_slot @i : !torch.int {
// CHECK: %[[INIT:.*]] = torch.constant.int 3
// CHECK: torch.global_slot.init %[[INIT]] : !torch.int
// CHECK: }
// CHECK-LABEL: torch.global_slot @f : !torch.float {
// CHECK: %[[INIT:.*]] = torch.constant.float 4.250000e+01
// CHECK: torch.global_slot.init %[[INIT]] : !torch.float
// CHECK: }
// CHECK-LABEL: torch.global_slot @t : !torch.tensor {
// CHECK: %[[T:.*]] = torch.tensor.literal(dense<1.000000e+00> : tensor<1xf32>) : !torch.tensor
// CHECK: torch.global_slot.init %[[T]] : !torch.tensor
// CHECK: }
torch.class_type @c {
torch.attr "b" : !torch.bool
torch.attr "i" : !torch.int
torch.attr "f" : !torch.float
torch.attr "t" : !torch.tensor
}
%bool_true = torch.constant.bool true
%i = torch.constant.int 3
%f = torch.constant.float 4.250000e+01
%t = torch.tensor.literal(dense<1.0> : tensor<1xf32>) : !torch.tensor
torch.nn_module {
torch.slot "b", %bool_true : !torch.bool
torch.slot "i", %i : !torch.int
torch.slot "f", %f : !torch.float
torch.slot "t", %t : !torch.tensor
} : !torch.nn.Module<"c">