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

46 lines
1.4 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):
# Static type error that will fail TorchScript compilation -- function
# that returns tensor along one path and int along another.
if t.item() > 0:
return torch.tensor([])
else:
return 3
# CHECK: FAIL - "MmModule_basic"
# CHECK: Compilation error:
# Assume that the diagnostic from the TorchScript compiler will at least contain
# the offending "return 3".
# CHECK: return 3
@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()