mirror of https://github.com/llvm/torch-mlir
33 lines
1.0 KiB
Python
33 lines
1.0 KiB
Python
# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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# See https://llvm.org/LICENSE.txt for license information.
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# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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# Also available under a BSD-style license. See LICENSE.
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# RUN: %PYTHON %s | FileCheck %s
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import torch
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from torch_mlir import torchscript
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class BasicModule(torch.nn.Module):
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def forward(self, x):
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return torch.ops.aten.sin(x)
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example_arg = torch.ones(2, 3)
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example_args = torchscript.ExampleArgs.get(example_arg)
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traced = torch.jit.trace(BasicModule(), example_arg)
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print(torchscript.compile(traced, example_args))
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# CHECK: module
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# CHECK-DAG: func.func @forward
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traced = torch.jit.trace(BasicModule(), example_arg)
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try:
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# CHECK: Model does not have exported method 'nonexistent', requested in `example_args`. Consider adding `@torch.jit.export` to the method definition.
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torchscript.compile(
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traced, torchscript.ExampleArgs().add_method("nonexistent", example_arg)
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)
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except Exception as e:
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print(e)
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