mirror of https://github.com/llvm/torch-mlir
64 lines
1.8 KiB
Python
64 lines
1.8 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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import torch
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from torch_mlir_e2e_test.torchscript.framework import TestUtils
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from torch_mlir_e2e_test.torchscript.registry import register_test_case
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from torch_mlir_e2e_test.torchscript.annotations import annotate_args, export
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class AddIntModule(torch.nn.Module):
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def __init__(self):
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super().__init__()
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@export
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@annotate_args([
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None,
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([], torch.int64, True),
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([], torch.int64, True),
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])
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def forward(self, lhs, rhs):
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return int(lhs)+int(rhs)
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class SubIntModule(torch.nn.Module):
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def __init__(self):
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super().__init__()
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@export
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@annotate_args([
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None,
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([], torch.int64, True),
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([], torch.int64, True),
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])
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def forward(self, lhs, rhs):
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return int(lhs)-int(rhs)
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class MulIntModule(torch.nn.Module):
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def __init__(self):
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super().__init__()
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@export
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@annotate_args([
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None,
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([], torch.int64, True),
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([], torch.int64, True),
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])
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def forward(self, lhs, rhs):
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return int(lhs)*int(rhs)
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@register_test_case(module_factory=lambda: AddIntModule())
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def AddIntModule_basic(module, tu: TestUtils):
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module.forward(torch.randint(-100, 100,()), torch.randint(-100, 100,()))
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@register_test_case(module_factory=lambda: SubIntModule())
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def SubIntModule_basic(module, tu: TestUtils):
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module.forward(torch.randint(-100, 100,()), torch.randint(-100, 100,()))
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@register_test_case(module_factory=lambda: MulIntModule())
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def MulIntModule_basic(module, tu: TestUtils):
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module.forward(torch.randint(-100, 100,()), torch.randint(-100, 100,()))
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