Comments (6)
I still get the error. Has anyone checked this? Thank you in advance.
from vitis-ai.
Hi @jonGuti13,
Could you please try with the latest commit from master branch, this issue has been solved.
from vitis-ai.
Hi @vaibuild,
Thank you for your response, but I have tried it and it still fails for me. This a screenshot telling that my branch is ahead of Xilinx/Vitis-AI-master by three commits.
The first commit has to do with removing a confirm option for CI, the second one is the creation of the .github/worflows/ci.yml
and the third one is changing the .github/worflows/ci.yml
to build image for GPU.
Both actions have failed, although the reason of the one related to the GPU is not being enough space left on device, so I will just attach the screenshot of the failure of the CPU image (the one I was originally reporting in this issue).
from vitis-ai.
Hi @jonGuti13,
can you try with another server and directly from master? I cannot reproduce your problem, as for the coredump, maybe you can see if this helps? conda/conda#7815
conda clean -a add it in install_tf2.sh #107 before mamba install command execute?
from vitis-ai.
Hi @vaibuild,
Thank you for your rapid response. I have been able to build both GPU and CPU images locally, so the problem has been solved with the latest commit. However, I will also try to make it work in CI, as it is a valuable tool for checking compatibility issues. I will follow your piece of advice and try to fix it.
I close the issue as the problem has been solved, but I will still add information regarding the CI issue.
from vitis-ai.
After adding conda clean -a
in install_tf2.sh, it fails as a consequence of not being enough space left on device. However, I have removed some of the unnecesary packages of ubuntu-latest
thanks to a Github Action from @jlumbroso https://github.com/marketplace/actions/free-disk-space-ubuntu and now the CPU image is succesfully built.
from vitis-ai.
Related Issues (20)
- [vitis-ai 3.5]cannot complie xmode
- About vitis ai and DPU running two xmodels HOT 1
- error:Check failed: r == 0 (-1 vs. 0) , cannot allocate memory HOT 2
- Example running failed in KR260 HOT 6
- It probaly not safe to assume all yolov6 models have an input size of 640*640
- YoloV7 and YoloV8 model implementation
- About how the ONNX model is quantified?
- error cu[0] timeout
- dpuczdx8g v4.1 compatibility consultation HOT 7
- Resource Management and Concurrent Model Execution with Vitis AI on KR260 Board
- Multi-input network model, quantization error occurred
- In the UG1414, the operators supported by PyTorch are not available in the process of training and quantification
- AssertionError
- TypeError: list indices must be integers or slices, not NoneType HOT 1
- AddScalar() does not work for quantization
- Use sigmoid or pow to replace exp
- command 'xdputil' not found
- Duplicate nodes error while converting model from quantized_model.pb to xmodel
- YOLOv5 Quantization
- YOLOv5 quantization HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from vitis-ai.