Deserialize engine failed because file path: .../resnet10.caffemodel_b1_gpu0_int8.engine open error

I am able to run the deepstream-test1-rtsp-out so I guess the error was caused by not having a display. Is this possible?
Now, how can I fix the setup issue in the deepstream-triton?

maybe, since you are running on dGPU platform, you can modify the source code to change the sink from eglsink to fakesink and try again

I will try. How can I fix the build setup with the triton container? This one Deserialize engine failed because file path: .../resnet10.caffemodel_b1_gpu0_int8.engine open error - #20 by mfoglio

x86 + dGPU + Triton docker ?

Yes, I am using an EC2 with Tesla T4, Intel I-7

doesn’t this work for you?

Hi @mchi . Unfortunately it does not work. See here: Deserialize engine failed because file path: .../resnet10.caffemodel_b1_gpu0_int8.engine open error - #20 by mfoglio

Hi @mfoglio,
Looks like the dockerfile you wrote also expects a manual input:

There are 3 choices for the alternative python3 (providing /usr/bin/python3).
Selection Path Priority Status


0 /usr/bin/python3.8 3 auto mode
1 /usr/bin/python3.6 1 manual mode
2 /usr/bin/python3.6m 2 manual mode
3 /usr/bin/python3.8 3 manual mode

Press to keep the current choice[*], or type selection number:

Can you please try the steps suggested manually without a dockerfile?

Please let me know what happens.

Hello @rpaliwal_nvidia , I have the same issue. The manual input seems to be requested by some step within the docker_python_setup.sh.

hi @mfoglio ,
Could you please share the logs of your manual steps?
Thanks

Sure. Here they are:

ubuntu@ip-x-x-x-x:~$ sudo docker run -it --rm --net=host --runtime nvidia -e DISPLAY=$DISPLAY -v /tmp/.X11-unix/:/tmp/.X11-unix --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --device /dev/video0 --privileged nvcr.io/nvidia/deepstream:6.0-triton


===============================
   DeepStreamSDK 6.0.0
===============================

*** LICENSE AGREEMENT ***
By using this software you agree to fully comply with the terms and conditions
of the License Agreement. The License Agreement is located at
/opt/nvidia/deepstream/deepstream/LicenseAgreement.pdf. If you do not agree
to the terms and conditions of the License Agreement do not use the software.


=============================
== Triton Inference Server ==
=============================

NVIDIA Release 21.08 (build 26170506)

Copyright (c) 2018-2021, NVIDIA CORPORATION & AFFILIATES.  All rights reserved.

Various files include modifications (c) NVIDIA CORPORATION.  All rights reserved.

This container image and its contents are governed by the NVIDIA Deep Learning Container License.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license
find: File system loop detected; '/usr/bin/X11' is part of the same file system loop as '/usr/bin'.
ERROR: Detected NVIDIA Tesla K80 GPU, which is not supported by this container
ERROR: No supported GPU(s) detected to run this container

root@ip-x-x-x-x:/opt/nvidia/deepstream/deepstream-6.0# 
root@ip-x-x-x-x:/opt/nvidia/deepstream/deepstream-6.0# sh docker_python_setup.sh
Reading package lists... Done
Building dependency tree       
Reading state information... Done
software-properties-common is already the newest version (0.98.9.5).
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  libpython3.6-minimal libpython3.6-stdlib python3.6-minimal
Suggested packages:
  python3.6-venv python3.6-doc binfmt-support
The following NEW packages will be installed:
  libpython3.6-minimal libpython3.6-stdlib python3.6 python3.6-minimal
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Unpacking python3-gi (3.26.1-2ubuntu1) ...
dpkg: dependency problems prevent configuration of python3-gi:
 python3-gi depends on python3 (<< 3.7); however:
  Version of python3 on system is 3.8.2-0ubuntu2.
 python3-gi depends on libffi6 (>= 3.0.4); however:
  Package libffi6 is not installed.
 libgirepository-1.0-1:amd64 (1.64.1-1~ubuntu20.04.1) breaks python3-gi (<< 3.34.0-4~) and is installed.
  Version of python3-gi to be configured is 3.26.1-2ubuntu1.

dpkg: error processing package python3-gi (--install):
 dependency problems - leaving unconfigured
Errors were encountered while processing:
 python3-gi
update-alternatives: using /usr/bin/python3.6 to provide /usr/bin/python3 (python3) in auto mode
update-alternatives: using /usr/bin/python3.6m to provide /usr/bin/python3 (python3) in auto mode
update-alternatives: using /usr/bin/python3.8 to provide /usr/bin/python3 (python3) in auto mode
There are 3 choices for the alternative python3 (providing /usr/bin/python3).

  Selection    Path                 Priority   Status
------------------------------------------------------------
* 0            /usr/bin/python3.8    3         auto mode
  1            /usr/bin/python3.6    1         manual mode
  2            /usr/bin/python3.6m   2         manual mode
  3            /usr/bin/python3.8    3         manual mode

Press <enter> to keep the current choice[*], or type selection number: update-alternatives: using /usr/bin/python3.6m to provide /usr/bin/python3 (python3) in manual mode
Collecting numpy
  Downloading numpy-1.19.5-cp36-cp36m-manylinux2010_x86_64.whl (14.8 MB)
     |################################| 14.8 MB 20.6 MB/s 
Installing collected packages: numpy
Successfully installed numpy-1.19.5
Collecting opencv-python
  Downloading opencv_python-4.5.4.60-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (60.3 MB)
     |################################| 60.3 MB 24.9 MB/s 
Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib/python3.6/dist-packages (from opencv-python) (1.19.5)
Installing collected packages: opencv-python
Successfully installed opencv-python-4.5.4.60
root@ip-x-x-x-x:/opt/nvidia/deepstream/deepstream-6.0# apt install python3-gi python3-gst-1.0 python-gi-dev git python3 python3-pip cmake g++ build-essential libglib2.0-dev python3-dev python3.6-dev libglib2.0-dev-bin python-gi-dev libtool m4 autoconf automake
Reading package lists... Done
Building dependency tree       
Reading state information... Done
autoconf is already the newest version (2.69-11.1).
automake is already the newest version (1:1.16.1-4ubuntu6).
automake set to manually installed.
cmake is already the newest version (3.16.3-1ubuntu1).
g++ is already the newest version (4:9.3.0-1ubuntu2).
g++ set to manually installed.
libtool is already the newest version (2.4.6-14).
m4 is already the newest version (1.4.18-4).
m4 set to manually installed.
python3 is already the newest version (3.8.2-0ubuntu2).
build-essential is already the newest version (12.8ubuntu1.1).
git is already the newest version (1:2.25.1-1ubuntu3.2).
libglib2.0-dev is already the newest version (2.64.6-1~ubuntu20.04.4).
libglib2.0-dev-bin is already the newest version (2.64.6-1~ubuntu20.04.4).
python3-pip is already the newest version (20.0.2-5ubuntu1.6).
You might want to run 'apt --fix-broken install' to correct these.
The following packages have unmet dependencies:
 python3-dev : Depends: libpython3-dev (= 3.8.2-0ubuntu2) but it is not going to be installed
               Depends: python3.8-dev (>= 3.8.2-1~) but it is not going to be installed
 python3.6-dev : Depends: libpython3.6-dev (= 3.6.15-1+focal1) but it is not going to be installed
E: Unmet dependencies. Try 'apt --fix-broken install' with no packages (or specify a solution).
root@ip-x-x-x-x:/opt/nvidia/deepstream/deepstream-6.0# 

hi @mfoglio ,
Did you try running the suggested **apt --fix-broken install** then?
Also, try to uninstall python3.6-dev and make sure your default python points to 3.8

Let me know what happens.
Thanks

The --fix-broken does not help:

root@ip-172-31-20-37:/opt/nvidia/deepstream/deepstream-6.0# apt install --fix-broken python3-gi python3-gst-1.0 python-gi-dev git python3 python3-pip cmake g++ build-essential libglib2.0-dev python3-dev python3.6-dev libglib2.0-dev-bin python-gi-dev libtool m4 autoconf automake
Reading package lists... Done
Building dependency tree       
Reading state information... Done
autoconf is already the newest version (2.69-11.1).
automake is already the newest version (1:1.16.1-4ubuntu6).
automake set to manually installed.
cmake is already the newest version (3.16.3-1ubuntu1).
g++ is already the newest version (4:9.3.0-1ubuntu2).
g++ set to manually installed.
libtool is already the newest version (2.4.6-14).
m4 is already the newest version (1.4.18-4).
m4 set to manually installed.
python3 is already the newest version (3.8.2-0ubuntu2).
build-essential is already the newest version (12.8ubuntu1.1).
git is already the newest version (1:2.25.1-1ubuntu3.2).
libglib2.0-dev is already the newest version (2.64.6-1~ubuntu20.04.4).
libglib2.0-dev-bin is already the newest version (2.64.6-1~ubuntu20.04.4).
python3-pip is already the newest version (20.0.2-5ubuntu1.6).
You might want to run 'apt --fix-broken install' to correct these.
The following packages have unmet dependencies:
 python3-dev : Depends: libpython3-dev (= 3.8.2-0ubuntu2) but it is not going to be installed
               Depends: python3.8-dev (>= 3.8.2-1~) but it is not going to be installed
 python3.6-dev : Depends: libpython3.6-dev (= 3.6.15-1+focal1) but it is not going to be installed
E: Unmet dependencies. Try 'apt --fix-broken install' with no packages (or specify a solution).

There’s no python3.6-dev to remove:

root@ip-172-31-20-37:/opt/nvidia/deepstream/deepstream-6.0# apt remove python3.6-dev
Reading package lists... Done
Building dependency tree       
Reading state information... Done
E: Unable to locate package python3.6-dev
E: Couldn't find any package by glob 'python3.6-dev'

How do I change the default Python version? I tried with alias python3=/usr/bin/python3.8 but it doesn’t make any difference. The problem seems to be with apt.
Have you recently tried to run yours instruction? Can you reproduce the error?

You only need to run this command, don’t include other package names in there.

1 Like

Great! This fixes the apt install, thanks! How can I set default pip and python to 3.6? Is a simple alias sufficient?

Now I have the following issue. From python3.8 I can import pyds but not gi. And the opposite from python3.6.

To reproduce you can use:

FROM nvcr.io/nvidia/deepstream:6.0-triton
ENV GIT_SSL_NO_VERIFY=1

RUN sh docker_python_setup.sh
RUN update-alternatives --set python3 /usr/bin/python3.6m
RUN apt install --fix-broken -y
RUN apt -y install python3-gi python3-gst-1.0 python-gi-dev git python3 python3-pip cmake g++ build-essential \
  libglib2.0-dev python3-dev python3.6-dev libglib2.0-dev-bin python-gi-dev libtool m4 autoconf automake

RUN cd /opt/nvidia/deepstream/deepstream-6.0/sources/apps && \
    git clone https://github.com/NVIDIA-AI-IOT/deepstream_python_apps.git
RUN cd /opt/nvidia/deepstream/deepstream-6.0/sources/apps/deepstream_python_apps && \
    git submodule update --init
RUN cd /opt/nvidia/deepstream/deepstream-6.0/sources/apps/deepstream_python_apps/3rdparty/gst-python/ && \
   ./autogen.sh PYTHON=/usr/bin/python3.6m && \
   make && \
   make install

RUN pip3 install --upgrade pip
RUN cd /opt/nvidia/deepstream/deepstream-6.0/sources/apps/deepstream_python_apps/bindings && \
    mkdir build && \
    cd build && \
    cmake -DPYTHON_MAJOR_VERSION=3 -DPYTHON_MINOR_VERSION=6 -DPIP_PLATFORM=linux_x86_64 -DDS_PATH=/opt/nvidia/deepstream/deepstream-6.0 .. && \
    make && \
    pip3 install pyds-1.1.0-py3-none-linux_x86_64.whl
RUN cd /opt/nvidia/deepstream/deepstream-6.0/sources/apps/deepstream_python_apps && \
    mv apps/* ./
RUN pip3 install --upgrade pip
RUN pip3 install numpy opencv-python

# RTSP
RUN apt update && \
    apt install -y python3-gi python3-dev python3-gst-1.0
RUN apt update && \
    apt install -y libgstrtspserver-1.0-0 gstreamer1.0-rtsp && \
    apt install -y libgirepository1.0-dev && \
    apt-get install -y gobject-introspection gir1.2-gst-rtsp-server-1.0

Then start the container and run:

docker run   -it   --rm   --net=host   --runtime nvidia   -e DISPLAY=$DISPLAY   -v /tmp/.X11-unix/:/tmp/.X11-unix   -v /home/ubuntu/pycharm/projects/fususcore-ai-detector-nvidia/etc/local:/shared   --cap-add=SYS_PTRACE   --security-opt seccomp=unconfined   --device /dev/video0   --privileged   --expose 8554   deepstream-custom bash
root@ip-172-31-20-37:/src# python3.6
Python 3.6.15 (default, Sep 10 2021, 00:26:58) 
[GCC 9.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import gi
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/lib/python3/dist-packages/gi/__init__.py", line 42, in <module>
    from . import _gi
ImportError: cannot import name '_gi'
>>> import pyds
>>> 
root@ip-172-31-20-37:/src# python3.8
Python 3.8.10 (default, Sep 28 2021, 16:10:42) 
[GCC 9.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import gi
>>> import pyds
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'pyds'

Should I use python3.6, python3.6m, or python3.8?

hi @mfoglio ,
Good to see that your apt install was fixed.
Since the triton docker is based on Ubuntu 20.04, its best to use python3.8 on it.
Please don’t install any 3.6 related packages, those could interfere with the environment.
Thanks

Hi @mfoglio
is this topic solved?

Thanks!

Yes, we can consider it solved. Thanks!

1 Like