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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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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 …
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**Describe the bug**
Activity Regularizer not working with quantization aware training (QAT). On further evaluation I also saw that it creates a tensor of type `` for Actvity regularization loss wher…
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## 🚀 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…
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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…
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### 🐛 Describe the bug
TypeError: conv2d() received an invalid combination of arguments - got (dict, Parameter, Parameter, tuple, tuple, tuple, int), but expected one of:
* (Tensor input, Tensor …
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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):
…
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# Prerequisites
Please answer the following question for yourself before submitting an issue.
- [x] I checked to make sure that this feature has not been requested already.
## 1. The entire U…
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**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…
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This repo. has supported fp16 training and inference for some time.
Running inference at fp16 currently offers the best AP/FPS trade-off but I have found that training at fp16 results in a relative…