mirror of https://github.com/llvm/torch-mlir
44 lines
1.4 KiB
Python
44 lines
1.4 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_e2e_test.framework import run_tests, TestUtils
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from torch_mlir_e2e_test.reporting import report_results
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from torch_mlir_e2e_test.registry import register_test_case, GLOBAL_TEST_REGISTRY
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from torch_mlir_e2e_test.configs import TorchScriptTestConfig
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class MmModule(torch.nn.Module):
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def __init__(self):
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super().__init__()
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def forward(self, t):
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# Input of `torch.tensor` only allows ints, floats, or bools while empty
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# list defaults to tensor type
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return torch.tensor([])
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# CHECK: FAIL - "MmModule_basic"
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# CHECK: Runtime error:
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# Assume that the diagnostic from the TorchScript runtime will at least contain
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# the offending "return torch.tensor([])".
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# CHECK: return torch.tensor([])
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@register_test_case(module_factory=lambda: MmModule())
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def MmModule_basic(module, tu: TestUtils):
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module.forward(torch.ones([]))
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def main():
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config = TorchScriptTestConfig()
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results = run_tests(GLOBAL_TEST_REGISTRY, config)
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report_results(results, set(), verbose=True)
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if __name__ == '__main__':
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main()
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