MadFunMaker opened a new issue #7812:
URL: https://github.com/apache/tvm/issues/7812
I found that the most recent TVM version fails the unit test of TensorRT. I
tried the following command for that:
`TVM_FFI=ctypes python -m pytest -v tests/python/contrib/test_tensorrt.py`
From the following error message, I suspect this is because of the module
name change from GraphRuntime to GraphExecutor.
`enabled targets: cuda; llvm; nvptx; llvm -device=arm_cpu
pytest marker:
============================= test session starts
==============================
platform linux -- Python 3.8.5, pytest-6.2.2, py-1.10.0, pluggy-0.13.1 --
/opt/anaconda3/bin/python
cachedir: .pytest_cache
rootdir: /home/byungsoj/temp_local/tvm, configfile: pytest.ini
collecting ... collected 0 items / 1 error
==================================== ERRORS
====================================
____________ ERROR collecting tests/python/contrib/test_tensorrt.py
____________
ImportError while importing test module
'/home/byungsoj/temp_local/tvm/tests/python/contrib/test_tensorrt.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/opt/anaconda3/lib/python3.8/importlib/__init__.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/python/contrib/test_tensorrt.py:27: in <module>
from tvm.contrib import graph_executor, utils
E ImportError: cannot import name 'graph_executor' from 'tvm.contrib'
(/opt/tvm/python/tvm/contrib/__init__.py)
=============================== warnings summary
===============================
<frozen importlib._bootstrap>:219
<frozen importlib._bootstrap>:219: RuntimeWarning: numpy.ufunc size
changed, may indicate binary incompatibility. Expected 192 from C header, got
216 from PyObject
-- Docs: https://docs.pytest.org/en/stable/warnings.html
=========================== short test summary info
============================
ERROR tests/python/contrib/test_tensorrt.py
!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection
!!!!!!!!!!!!!!!!!!!!
========================= 1 warning, 1 error in 0.59s
==========================
`
@areusch
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