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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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Hello, I have a MobileNetV2 That I am trying to use for image classification by means of transfer learning, although apparently seems to not work. Initially, I perform transfer learning on my model a…
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## 🐛 Bug
LSTM network can not be evaluated after preparing for quantisation aware training. The same warning does not appear if evaluated before preparing.
## To Reproduce
Steps to reproduce…
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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…
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Hi, I want to reproduce the result of the quantization awareness training of mobilenet_v2 using this [script](https://github.com/pytorch/vision/blob/master/references/classification/train_quantization…
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Hi david
about "Quantization aware training " ,do you have schedules
i have the need,i want to do the job ,give some suggestions,thanks
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I used the released checkpoint to fine-tune a triplet model and seeing this message.
tensorflow.python.framework.errors_impl.NotFoundError: Key model/efficientnet-lite0/model/blocks_10/post_activ…
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### 🐛 Describe the bug
from torch.ao.quantization.quantizer import (
XNNPACKQuantizer,
get_symmetric_quantization_config,
)
the code abve report error:
ImportError: cannot import name 'X…
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Hi,
I have been following the examples in RNN-Denoise. However, when testing the quantized model, I noticed that the quantized output tends very fast towards zero:
![image](https://github.com/ma…
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I have used PTQ for int8 export from pytorch model and despite attempts at calibration, there is a significant drop in detection accuracy.
I am moving to quantization aware training to improve the…