torch-mlir/python/test/torchscript_e2e_test/runtime_failure.py

43 lines
1.3 KiB
Python

# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# RUN: %PYTHON %s | FileCheck %s
import torch
from torch_mlir_e2e_test.torchscript.framework import run_tests, TestUtils
from torch_mlir_e2e_test.torchscript.reporting import report_results
from torch_mlir_e2e_test.torchscript.registry import register_test_case, GLOBAL_TEST_REGISTRY
from torch_mlir_e2e_test.torchscript.configs import TorchScriptTestConfig
class MmModule(torch.nn.Module):
def __init__(self):
super().__init__()
def forward(self, t):
# Input of `torch.tensor` only allows ints, floats, or bools while empty
# list defaults to tensor type
return torch.tensor([])
# CHECK: FAIL - "MmModule_basic"
# CHECK: Runtime error:
# Assume that the diagnostic from the TorchScript runtime will at least contain
# the offending "return torch.tensor([])".
# CHECK: return torch.tensor([])
@register_test_case(module_factory=lambda: MmModule())
def MmModule_basic(module, tu: TestUtils):
module.forward(torch.ones([]))
def main():
config = TorchScriptTestConfig()
results = run_tests(GLOBAL_TEST_REGISTRY, config)
report_results(results, set(), verbose=True)
if __name__ == '__main__':
main()