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QAT output nodes for Quantized Model got the same min max range

score 240 · Answer 1 · 2020-10-14 01:26:52

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QAT output nodes for Quantized Model got the same min max range

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score 469 · Answer 2 · 2020-10-23 00:53:54

TensorFlow QAT how to get the quantized weights

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score 42 · Answer 3 · 2023-11-22 12:10:40

Quantization tensorflow package, explaination of addition parameters in CNN kernel (27 for 12 3X3 kernels, and 5 for dense layer)

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score 507 · Answer 6 · 2022-04-23 04:24:06

Is there any method to convert a quantization aware pytorch model to .tflite?

507 views Asked by Abhishek Negi At 23 April 2022 at 04:24

score 906 · Answer 7 · 2020-09-01 03:58:51

Batch Normalization Quantize Tensorflow 1.x does not have MinMax information

906 views Asked by dtlam26 At 01 September 2020 at 03:58

score 922 · Answer 8 · 2020-09-04 08:21:18

Tensorflow cannot quantize reshape function

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score 528 · Answer 9 · 2020-09-09 06:22:00

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528 views Asked by Aparajit Garg At 09 September 2020 at 06:22

score 661 · Answer 10 · 2020-09-23 14:58:47

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661 views Asked by Florence At 23 September 2020 at 14:58

TechQA.

List Question

QAT output nodes for Quantized Model got the same min max range

TensorFlow QAT how to get the quantized weights

Quantization tensorflow package, explaination of addition parameters in CNN kernel (27 for 12 3X3 kernels, and 5 for dense layer)

How to perform fixed-point quantization in Python

network quantization——Why do we need "zero_point"? Why symmetric quantization doesn't need "zero point"?

Is there any method to convert a quantization aware pytorch model to .tflite?

Batch Normalization Quantize Tensorflow 1.x does not have MinMax information

Tensorflow cannot quantize reshape function

Quantization aware training in tensorflow 2.2.0 producing higher inference time

Quantized TFLite model gives better accuracy than TF model

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