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But when the input is outside the range [quant_min,quant_max], shouldn't the gradient be 0.0 instead of 1.0?
The following code snippet sets both quant_min and quant_max to 0 and defines the input te…
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I used AIMET 1.28 based on PyTorch for Quantization-Aware Training (QAT) of my model. The quant_scheme used was 'QuantScheme.post_training_tf,' which I understand to calculate the minmax values of sta…
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Hi, hanrui, I am very interested in the ideas of this paper, but I have a question as following:
In general, a complete model quantization includes
1. Prepare a pretrained model;
2. Fuse the batch…
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### System information
- **What is the top-level directory of the model you are using**: models/research/object_detection
- **Have I written custom code (as opposed to us…
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**Link to the notebook**
[Notebook](https://github.com/aws/amazon-sagemaker-examples/blob/main/sagemaker-triton/business_logic_scripting/stable_diffusion/sm-triton-bls-stablediff.ipynb)
**Describe…
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Currently implemented quantization aware training algorithm gives the chance to test different types of quantization on a model by implementing a custom Quantizer and annotating layers with custom Qua…
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### Search before asking
- [X] I have searched the YOLOv6 [issues](https://github.com/meituan/YOLOv6/issues) and found no similar feature requests.
### Description
Hi YOLOv6 Team,
I am currentl…
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Prior to filing: check that this should be a bug instead of a feature request. Everything supported, including the compatible versions of TensorFlow, is listed in the overview page of each technique. …
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- I am able to apply Object detection with Mask-RCNN using detectron2 and getting good results for my custom dataset. but when i try to use the same architecture with d2go to create a mobile deployabl…
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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…