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TFlite INT8 Exports failing #13019

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glenn-jocher opened this issue May 22, 2024 · 2 comments
Open
1 of 2 tasks

TFlite INT8 Exports failing #13019

glenn-jocher opened this issue May 22, 2024 · 2 comments
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bug Something isn't working fixed Bug has been resolved

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@glenn-jocher
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  • I have searched the YOLOv8 issues and found no similar bug report.

YOLOv8 Component

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Bug

Screenshot 2024-05-22 at 13 00 43

Environment

Ultralytics YOLOv8.2.18 πŸš€ Python-3.10.12 torch-2.3.0+cu121 CUDA:0 (Tesla T4, 15102MiB)
Setup complete βœ… (2 CPUs, 12.7 GB RAM, 32.1/78.2 GB disk)

OS                  Linux-6.1.85+-x86_64-with-glibc2.35
Environment         Colab
Python              3.10.12
Install             pip
RAM                 12.67 GB
CPU                 Intel Xeon 2.30GHz
CUDA                12.1

matplotlib          βœ… 3.7.1>=3.3.0
opencv-python       βœ… 4.8.0.76>=4.6.0
pillow              βœ… 9.4.0>=7.1.2
pyyaml              βœ… 6.0.1>=5.3.1
requests            βœ… 2.31.0>=2.23.0
scipy               βœ… 1.11.4>=1.4.1
torch               βœ… 2.3.0+cu121>=1.8.0
torchvision         βœ… 0.18.0+cu121>=0.9.0
tqdm                βœ… 4.66.4>=4.64.0
psutil              βœ… 5.9.5
py-cpuinfo          βœ… 9.0.0
thop                βœ… 0.1.1-2209072238>=0.1.1
pandas              βœ… 2.0.3>=1.1.4
seaborn             βœ… 0.13.1>=0.11.0

Minimal Reproducible Example

!yolo export format=tflite imgsz=[320,320] int8

Additional

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Are you willing to submit a PR?

  • Yes I'd like to help by submitting a PR!
@glenn-jocher glenn-jocher added the bug Something isn't working label May 22, 2024
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πŸ‘‹ Hello @glenn-jocher, thank you for your interest in Ultralytics YOLOv8 πŸš€! We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.

If this is a πŸ› Bug Report, please provide a minimum reproducible example to help us debug it.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.

Join the vibrant Ultralytics Discord 🎧 community for real-time conversations and collaborations. This platform offers a perfect space to inquire, showcase your work, and connect with fellow Ultralytics users.

Install

Pip install the ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8.

pip install ultralytics

Environments

YOLOv8 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

Status

Ultralytics CI

If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLOv8 Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

@glenn-jocher
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@sergiuwaxmann @yogendrasinghx bug report opened here for our INT8 TFLite failures!

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