-
### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar feature requests.
### Description
Hi YOLOv8 Team,
I'm …
-
hi there
according to the documentation
https://github.com/analogdevicesinc/ai8x-training#quantization-aware-training-qat
we can use either QAT or post quantization but can I use both of them? if …
-
**YOLOv9 with Quantization-Aware Training (QAT) for TensorRT**
https://github.com/levipereira/yolov9-qat/
This repository hosts an implementation of YOLOv9 integrated with Quantization-Aware Train…
-
---
## 🚀 Feature
A clear and concise description of the feature proposal.
## Motivation & Examples
can we add Quantization-aware Training for mask_rcnn_fbnetv3a_C4.yaml ?
Tell us why the feat…
-
### 🚀 The feature, motivation and pitch
**Feature motivation:**
[Default pyTorch quantization aware training](https://pytorch.org/docs/stable/quantization.html) uses "fake-quantization" approach. Fo…
-
The quantization aware training fails because tf lite does not support some layers, such as conv1d, maxpool1d...
```
# annotate that only the Dense layers should be quantized.
def apply_quantizat…
-
**System information**
- TensorFlow version (you are using): 2.15
- Are you willing to contribute it (Yes/No): Yes
**Motivation**
I am trying to train RNN model with quantization aware trainin…
-
### 🐛 Describe the bug
```
import torch
import torch.nn as nn
class Model(nn.Module):
def __init__(self):
super().__init__()
self.attn = nn.MultiheadAttention(embed_di…
-
If I wanted to use Quantization Aware Training (QAT) in conjunction with structured hashing, should I quantize **before** or **after** FeatherMap?
i.e, (before, intuitively seems correct to me):
…
-
Great to see the Tensorflow 2 Object Detect API has been released. One feature I'm very interested in is quantization aware training (as is supported in the Tensorflow 1 version). I'm assuming it's …