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

score 245 · Answer 1 · 2020-10-14 01:26:52

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

245 views Asked by dtlam26 At 14 October 2020 at 01:26

score 476 · Answer 2 · 2020-10-23 00:53:54

TensorFlow QAT how to get the quantized weights

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score 51 · 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 1463 · Answer 4 · 2020-12-15 10:59:04

How to perform fixed-point quantization in Python

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score 1006 · Answer 5 · 2022-04-16 07:19:11

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score 513 · Answer 6 · 2022-04-23 04:24:06

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

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

score 913 · Answer 7 · 2020-09-01 03:58:51

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

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

score 928 · Answer 8 · 2020-09-04 08:21:18

Tensorflow cannot quantize reshape function

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score 536 · Answer 9 · 2020-09-09 06:22:00

Quantization aware training in tensorflow 2.2.0 producing higher inference time

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

score 671 · Answer 10 · 2020-09-23 14:58:47

Quantized TFLite model gives better accuracy than TF model

671 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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