tensorflow: Bus Error when running a session
System information
- Running on an ODROID-XU4
- Have I written custom code: No
- OS Platform and Distribution: Linux Ubuntu Mate 16.04
- CUDA/cuDNN version: N/A
- GPU model and memory: N/A
- TensorFlow installed from: source
- TensorFlow version: 1.4.0
- Python version: 3.5.2
- Bazel version: 0.8.0
- GCC Version: 5.4.0
- Exact command to reproduce: python3.5 import tensorflow as tf hello = tf.constant(‘Hello, TensorFlow’) sess - tf.Session() print(sess.run(hello))
Describe the problem
I have built and installed TensorFlow as a pip package onboard an ODROID-XU4 (32-bit ARM), following the steps in this guide: https://hackernoon.com/running-yolo-on-odroid-yolodroid-5a89481ec141
Everything went smoothly, and I was able to install TensorFlow after a lengthy build time. However, when I try to run any session (such as in the basic example above), the program fails with a Bus Error. Running pip3 list
shows that Tensorflow is indeed installed, and no errors are thrown when I merely import TensorFlow.
Source code / logs
I traced the bus error by looking into the /var/log/syslog file and found the following lines associated with the error: Dec 2 21:24:21 odroid kernel: [ 3658.433306] Alignment trap: python3.5 (10189) PC=0xac0bac42 Instr=0xf9068a1f Address=0xbe8a7da4 FSR 0x811 Dec 2 21:24:21 odroid kernel: [ 3658.433313] Alignment trap: not handling instruction f9068a1f at [<ac0bac42>] Dec 2 21:24:21 odroid kernel: [ 3658.439021] Unhandled fault: alignment exception (0x811) at 0xbe8a7da4
So, it appears to be an alignment issue. I tried to force the kernel to attempt to fix the error instead of simply failing by using the following command: echo 3 > /proc/cpu/alignment
The three is meant to tell the kernel to fix these alignment issues. However, this strategy has not changed anything about the Bus Error when attempting to run a session.
Perhaps this is related to the 32-bit architecture I am attempting to run on?
About this issue
- Original URL
- State: closed
- Created 7 years ago
- Comments: 18 (9 by maintainers)
@PINTO0309
Thanks for the response. Your binary for Pi is working on Odroid XU4.
Warning msg because binaries are compiled for Python3.5 but Odroid have 3.6.
If anyone installing binary compiled with 3.5 with pip3 of python will get following error msg:
tensorflow-1.11.0-cp35-cp35m-linux_armv7l.whl is not a supported wheel on this platform.
Solution:
Enjoy 😃
@Kishwar
I just built a
native build
on RaspberryPi3 and TX2. There seems to be a problem with cross compile scripts. The point you need to be aware of is that it takes dozens of hours for native builds to use low-spec devices. Unfortunately, I do not own “Odroid”, so I can not try it.