mirror of https://github.com/llvm/torch-mlir
34 lines
1.2 KiB
Python
34 lines
1.2 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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import torch_mlir
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class TanhModule(torch.nn.Module):
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def __init__(self):
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super().__init__()
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def forward(self, x):
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return torch.ops.aten.tanh(x)
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tanh_example_input = torch.ones(2, 3)
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# Simplest case: One example argument.
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print(torch_mlir.compile(TanhModule(), tanh_example_input, use_tracing=True))
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# CHECK-LABEL: @forward
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# CHECK: torch.aten.tanh %{{.*}} : !torch.vtensor<[2,3],f32> -> !torch.vtensor<[2,3],f32>
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# Simplest case: Passed as a tuple.
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print(torch_mlir.compile(TanhModule(), (tanh_example_input,), use_tracing=True))
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# CHECK-LABEL: @forward
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# CHECK: torch.aten.tanh %{{.*}} : !torch.vtensor<[2,3],f32> -> !torch.vtensor<[2,3],f32>
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# Simplest case: Passed as a list.
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print(torch_mlir.compile(TanhModule(), [tanh_example_input], use_tracing=True))
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# CHECK-LABEL: @forward
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# CHECK: torch.aten.tanh %{{.*}} : !torch.vtensor<[2,3],f32> -> !torch.vtensor<[2,3],f32>
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