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

score 265 · Answer 1 · 2020-10-14 01:26:52

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

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

score 506 · Answer 2 · 2020-10-23 00:53:54

TensorFlow QAT how to get the quantized weights

506 views Asked by gihan At 23 October 2020 at 00:53

score 83 · 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)

83 views Asked by codingbugs At 22 November 2023 at 12:10

score 1494 · Answer 4 · 2020-12-15 10:59:04

How to perform fixed-point quantization in Python

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score 1036 · Answer 5 · 2022-04-16 07:19:11

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

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score 537 · Answer 6 · 2022-04-23 04:24:06

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

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

score 934 · Answer 7 · 2020-09-01 03:58:51

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

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

score 956 · Answer 8 · 2020-09-04 08:21:18

Tensorflow cannot quantize reshape function

956 views Asked by Ixtiyor Majidov At 04 September 2020 at 08:21

score 559 · Answer 9 · 2020-09-09 06:22:00

Quantization aware training in tensorflow 2.2.0 producing higher inference time

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

score 690 · Answer 10 · 2020-09-23 14:58:47

Quantized TFLite model gives better accuracy than TF model

690 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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