mirror of https://github.com/llvm/torch-mlir
31 lines
1.0 KiB
Python
31 lines
1.0 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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# RUN: %PYTHON %s | FileCheck %s
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mb = torch_mlir.ModuleBuilder()
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# CHECK-LABEL: func @add3
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# Note that line-level debug information for parts unannotated in the Torch
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# graph are ascribed to the first op that carries source information. Presently
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# this includes naked constants, return and the function itself. This heuristic
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# likely needs to be improved and this test should be reworked when it is.
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@mb.import_function
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@torch.jit.script
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def add3(t0, t1, t2):
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# TODO: Checks for debug info are quite hard with the new trailing debug
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# attribute print. See if this can be improved.
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# CHECK: loc({{.*}}debug-info.py":[[# @LINE + 1]]
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intermediate = t0 + t1
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# CHECK: loc({{.*}}debug-info.py":[[# @LINE + 1]]
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final = intermediate + t2
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return final
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# Verify again with debug info present. Just checking that it makes it in there.
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mb.module.operation.print(enable_debug_info=True)
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print()
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