mirror of https://github.com/llvm/torch-mlir
43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
# -*- Python -*-
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# This file is licensed under a pytorch-style license
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# See frontends/pytorch/LICENSE for license information.
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import torch
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import torch_mlir
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import typing
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# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
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mb = torch_mlir.ModuleBuilder()
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# CHECK-LABEL: func @__torch__.optional_return(
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# CHECK-SAME: %[[ARG:.*]]: i64) -> !torch.optional<i64> {
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# CHECK: %[[RET:.*]] = torch.derefine %[[ARG]] : i64 -> !torch.optional<i64>
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# CHECK: return %[[RET]] : !torch.optional<i64>
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@mb.import_function
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@torch.jit.script
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def optional_return(i: int) -> typing.Optional[int]:
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return i
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# CHECK-LABEL: func @__torch__.optional_arg(
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# CHECK-SAME: %[[ARG:.*]]: !torch.optional<i64>) -> !basicpy.NoneType {
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@mb.import_function
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@torch.jit.script
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def optional_arg(i: typing.Optional[int]) -> None:
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return
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# CHECK-LABEL: func @__torch__.calls_optional_arg(
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# CHECK-SAME: %[[ARG:.*]]: i64) -> !basicpy.NoneType {
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# CHECK: %[[CALLEE:.*]] = constant @__torch__.optional_arg : (!torch.optional<i64>) -> !basicpy.NoneType
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# CHECK: %[[DEREFINED:.*]] = torch.derefine %[[ARG]] : i64 -> !torch.optional<i64>
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# CHECK: %{{.*}} = call_indirect %[[CALLEE]](%[[DEREFINED]]) : (!torch.optional<i64>) -> !basicpy.NoneType
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@mb.import_function
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@torch.jit.script
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def calls_optional_arg(i: int):
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optional_arg(i)
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mb.module.operation.print()
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print()
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