TensorFlow Lite --int8 export failure: EndVector() takes 1 positional argument but 2 were given

[phodgers]

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• I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

Export

Bug

Using https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb below export fails

!git clone https://github.com/ultralytics/yolov5  # clone
%cd yolov5
%pip install -qr requirements.txt  # install

from yolov5 import utils
display = utils.notebook_init()  # checks

!python export.py --weights yolov5s.pt --include tflite --int8

At the end of export, the following message is displayed

TensorFlow Lite: export failure: EndVector() takes 1 positional argument but 2 were given

According to tensorflow/tensorflow#52954 there is some issue with flatbuffers library. Workaround is to downgrade flatbuffers.

The following code therefore works as expected.

!git clone https://github.com/ultralytics/yolov5  # clone
%cd yolov5
%pip install -qr requirements.txt  # install

from yolov5 import utils
display = utils.notebook_init()  # checks

%pip install --upgrade flatbuffers==1.12 # downgrade from v2 to v1.12
!python export.py --weights yolov5s.pt --include tflite --int8

Environment

Ultralytics colab environment https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb

Minimal Reproducible Example

!git clone https://github.com/ultralytics/yolov5  # clone
%cd yolov5
%pip install -qr requirements.txt  # install

from yolov5 import utils
display = utils.notebook_init()  # checks

!python export.py --weights yolov5s.pt --include tflite --int8

Additional

No response

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[github-actions]

👋 Hello @phodgers, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

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Requirements

Python>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

$ git clone https://github.com/ultralytics/yolov5
$ cd yolov5
$ pip install -r requirements.txt

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Google Colab and Kaggle notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), validation (val.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

[glenn-jocher]

@phodgers thanks for the bug report! It seems like a package change may have caused this because this was working recently, so I agree your flatbuffers downgrade seems like a good workaround.

%pip install --upgrade flatbuffers==1.12 # downgrade from v2 to v1.12

[github-actions]

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

Access additional YOLOv5 🚀 resources:

• Wiki – https://github.com/ultralytics/yolov5/wiki
• Tutorials – https://docs.ultralytics.com/yolov5
• Docs – https://docs.ultralytics.com

Access additional Ultralytics ⚡ resources:

• Ultralytics HUB – https://ultralytics.com/hub
• Vision API – https://ultralytics.com/yolov5
• About Us – https://ultralytics.com/about
• Join Our Team – https://ultralytics.com/work
• Contact Us – https://ultralytics.com/contact

Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐!

[glenn-jocher]

@phodgers good news 😃! Your original issue may now be fixed ✅ in PR #6216. This PR enforces flatbuffers==1.12 on TFLite --int8 export.

NOTE: This will install flatbuffers==1.12 automatically but you will need to restart your environment for change to take effect.

To receive this update:

• Git – git pull from within your yolov5/ directory or git clone https://github.com/ultralytics/yolov5 again
• PyTorch Hub – Force-reload model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)
• Notebooks – View updated notebooks
• Docker – sudo docker pull ultralytics/yolov5:latest to update your image

Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀!