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Nils is it possible to create an integer only models so this could run on accelerators or frameworks such as ArmNN?
https://www.tensorflow.org/lite/performance/post_training_quantization#full_integer…
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Review of *Guide to Quantization and Quantization Aware Training using the TensorFlow Model Optimization Toolkit*
> TF's model optimization Toolkit (TFMOT) contains tools that you can use to quanti…
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Love this work! Wanted to ask if there was a checkpoint or pretrained model available.
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Thank you for the sample!
I'm not 100% sure, but I believe that the processor is missing input quantization as described at https://www.tensorflow.org/lite/performance/post_training_integer_quant#r…
CIPop updated
11 months ago
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## 🐞Describing the bug
I'm using 8.0b2 to quant my mlpkg, a resnet and transformer model. It crashed after printed 'calibration success'.
Debug:
in **_model_debugger.py--step function:** outputs…
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我使用文档中:https://github.com/PaddlePaddle/PaddleSlim/tree/release/2.6/example/auto_compression/ocr的量化脚本进行量化,经过训练后模型的精度下降很大,请问我哪里做错了嘛?
精度的前后对比如下:
![image](https://github.com/PaddlePaddle/PaddleSlim/as…
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Hey there!
Is it possible to do post-training quantitzation with Parseq? I'm looking for ways to speed up inference time. I tried training a parseq-tiny model but lost about 13% absolute val accur…
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Can it be used in sd1.5 and can it be combined with other acceleration methods such as ByteDance/Hyper SD
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Just a little context -- we are using a pytorch auto-encoder based video codec, so it has 'encoder' and 'decoder' halves that work together.
We would like to only activate quantization on the decod…
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### Issue Type
Performance
### Source
source
### MCT Version
2.2
### OS Platform and Distribution
_No response_
### Python version
_No response_
### Describe the issue
https://github.com/so…