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

score 236 · Answer 1 · 2025-01-05 22:30:17

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

236 views Asked by dtlam26 At 05 January 2025 at 22:30

score 469 · Answer 2 · 2025-01-07 02:32:43

TensorFlow QAT how to get the quantized weights

469 views Asked by gihan At 07 January 2025 at 02:32

score 44 · Answer 3 · 2025-01-07 02:39:07

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

44 views Asked by codingbugs At 07 January 2025 at 02:39

score 1458 · Answer 4 · 2025-01-07 02:32:41

How to perform fixed-point quantization in Python

1.4k views Asked by DarthCavader At 07 January 2025 at 02:32

score 1001 · Answer 5 · 2025-01-07 02:38:21

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

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score 507 · Answer 6 · 2025-01-07 02:37:05

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

507 views Asked by Abhishek Negi At 07 January 2025 at 02:37

score 909 · Answer 7 · 2025-01-07 02:37:05

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

909 views Asked by dtlam26 At 07 January 2025 at 02:37

score 926 · Answer 8 · 2025-01-07 02:31:47

Tensorflow cannot quantize reshape function

926 views Asked by Ixtiyor Majidov At 07 January 2025 at 02:31

score 527 · Answer 9 · 2025-01-07 02:37:24

Quantization aware training in tensorflow 2.2.0 producing higher inference time

527 views Asked by Aparajit Garg At 07 January 2025 at 02:37

score 663 · Answer 10 · 2025-01-07 02:34:20

Quantized TFLite model gives better accuracy than TF model

663 views Asked by Florence At 07 January 2025 at 02:34

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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