I’m using TensroRT and I don’t know the cause of the following error Can you please tell me the cause?
File "/home/automatic-inspection/common.py", line 145, in allocate_buffers stream = cuda.Stream() pycuda._driver.LogicError: explicit_context_dependent failed: invalid device context - no currently active context?
We recommend you to please share more details of the issue. It would be helpful if you could share us complete script and error logs for better assistance.
We also request you to share following environment details.
TensorRT Version :
GPU Type :
Nvidia Driver Version :
CUDA Version :
CUDNN Version :
Operating System + Version :
Python Version (if applicable) :
TensorFlow Version (if applicable) :
PyTorch Version (if applicable) :
Baremetal or Container (if container which image + tag) :
Thank you.
The DGX Tesla version is 418.
The container uses 20.09 at Frameworks Support Matrix - NVIDIA Docs.
The errors and installed modules are below
Exception in thread Thread-4:
Traceback (most recent call last):
File “/usr/lib/python3.6/threading.py”, line 916, in _bootstrap_inner
self.run()
File “/usr/lib/python3.6/threading.py”, line 864, in run
self._target(*self._args, **self._kwargs)
File “/home/automatic-inspection/Machines.py”, line 92, in process
data = self.func(data, self) # * lane \u306b\u6d41\u308c\u3066\u304f\u308b\u30ef\u30fc\u30af\u3092\u51e6\u7406\u3059\u308b
File “/home/automatic-inspection/Predictor.py”, line 540, in pred_csv_start
second_class_num)
File “/home/automatic-inspection/Predictor.py”, line 137, in start_pred
first_class_num
File “/home/automatic-inspection/Predictor.py”, line 197, in predict_batch_first
inputs, outputs, bindings, stream = common.allocate_buffers(context.engine) #####Error######
File “/home/automatic-inspection/common.py”, line 145, in allocate_buffers
stream = cuda.Stream()
pycuda._driver.LogicError: explicit_context_dependent failed: invalid device context - no currently active context?
pip3-freeze list
absl-py==0.12.0
appdirs==1.4.4
astunparse==1.6.3
Brotli==1.0.9
cachetools==4.2.1
certifi==2020.12.5
chardet==4.0.0
click==8.0.0
cycler==0.10.0
Cython==0.29.22
dash==1.20.0
dash-core-components==1.16.0
dash-html-components==1.1.3
dash-renderer==1.9.1
dash-table==4.11.3
dataclasses==0.8
decorator==4.4.2
efficientnet==1.1.1
Flask==2.0.0
Flask-Compress==1.9.0
flatbuffers==1.12
future==0.18.2
futures==3.1.1
gast==0.3.3
google-auth==1.27.1
google-auth-oauthlib==0.4.3
google-pasta==0.2.0
grpcio==1.36.1
h5py==2.10.0
idna==2.10
imageio==2.9.0
importlib-metadata==3.7.2
itsdangerous==2.0.0
Jinja2==3.0.0
joblib==1.0.1
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.1
kiwisolver==1.3.1
Mako==1.1.4
Markdown==3.3.4
MarkupSafe==2.0.0
matplotlib==3.3.4
mock==3.0.5
networkx==2.5.1
numpy==1.19.5
oauthlib==3.1.0
onnx==1.8.1
opencv-python==4.5.1.48
opt-einsum==3.3.0
pandas==1.1.5
Pillow==8.1.2
plotly==4.14.3
protobuf==3.15.6
pyasn1==0.4.8
pyasn1-modules==0.2.8
pybind11==2.6.2
pycuda==2020.1
pyparsing==2.4.7
pypylon==1.7.2
python-dateutil==2.8.1
pytools==2021.2
pytz==2021.1
PyWavelets==1.1.1
requests==2.25.1
requests-oauthlib==1.3.0
retrying==1.3.3
rsa==4.7.2
scikit-image==0.16.2
scikit-learn==0.24.1
scipy==1.4.1
six==1.15.0
tensorboard==2.4.1
tensorboard-plugin-wit==1.8.0
tensorflow==2.3.0+nv20.9
tensorflow-estimator==2.3.0
termcolor==1.1.0
tf2onnx==1.8.3
threadpoolctl==2.1.0
typing-extensions==3.7.4.3
urllib3==1.26.3
Werkzeug==2.0.0
wrapt==1.12.1
zipp==3.4.1
Thank you for sharing the details. Looks like you have CUDA configuration issue.
We recommend you to please try TenosrRT NGC container.
https://ngc.nvidia.com/containers/nvidia:tensorrt
Thank you.