mirror of https://github.com/llvm/torch-mlir
26 lines
814 B
Python
26 lines
814 B
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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# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
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mb = torch_mlir.ModuleBuilder()
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# CHECK-LABEL: func @f(
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# CHECK-SAME: %[[T0:.*]]: !numpy.ndarray<*:!numpy.any_dtype>,
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# CHECK-SAME: %[[T1:.*]]: !numpy.ndarray<*:!numpy.any_dtype>) -> !basicpy.TupleType {
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# CHECK: %[[RET:.*]] = basicpy.build_tuple %[[T0]], %[[T1]] : (!numpy.ndarray<*:!numpy.any_dtype>, !numpy.ndarray<*:!numpy.any_dtype>) -> !basicpy.TupleType
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# CHECK: return %[[RET]] : !basicpy.TupleType
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@mb.import_function
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@torch.jit.script
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def f(t0, t1):
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return t0, t1
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assert isinstance(f, torch.jit.ScriptFunction)
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mb.module.operation.print()
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print()
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