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## Description
Currently, we did the comparison experiments with the following two settings:
1. via the tool `pytorch_quantization` , we can parse the exported onnx model with Q/DQ nodes to generate…
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Hi, may I ask some questions based on my understanding of the source code please:
### 1. Conv2D
As far as I know, in post-training quantization, `Conv2D` supports both `Conv2DBiasAddRelu` and `Con…
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![image](https://user-images.githubusercontent.com/46885199/170437989-8b90179c-ba25-4577-b195-cc10b0134239.png)
* TF cnn model tflite convert 과정
```
import tensorflow as tf
from tensorflow.ker…
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Hi,
I am trying to parse the pipeline detection result using `efficientdet_lite2_448_ptq.tflite`.
I can not find any hint around the line 211 below,
https://github.com/google-coral/libcoral/bl…
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Hi, thank you for sharing the coding.
Could you please explain why you dequantize the values after quantization?
https://github.com/linyang-zhh/FQ-ViT/blob/16122ee7ea33e80aed3edd29cfebb3ab2ce2cb…
ebsrn updated
2 years ago
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Hello,
I am trying to understand the workflow to generate mesh data to visualize in Neuroglancer. I have figured out from the previous examples generating precomputed dataset from tiff stack. How…
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Hi,
I can't find the definition of prepare_qat_fx_by_platform, which should be in the library mqbench.prepare_by_platform.
Do you just forget to upload the function?
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## Description
I use the Trt8.0 quantization function in my model. I just emplyed its PTQ.
The quantization setting are shown as follows:
###########################################################…