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

score 218 · Answer 1 · 2025-01-05 22:30:17

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

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

score 455 · Answer 2 · 2025-01-07 02:32:43

TensorFlow QAT how to get the quantized weights

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

score 30 · 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)

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

score 1444 · Answer 4 · 2025-01-07 02:32:41

How to perform fixed-point quantization in Python

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score 985 · 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 489 · Answer 6 · 2025-01-07 02:37:05

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

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

score 893 · Answer 7 · 2025-01-07 02:37:05

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

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

score 911 · Answer 8 · 2025-01-07 02:31:47

Tensorflow cannot quantize reshape function

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

score 514 · Answer 9 · 2025-01-07 02:37:24

Quantization aware training in tensorflow 2.2.0 producing higher inference time

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

score 648 · Answer 10 · 2025-01-07 02:34:20

Quantized TFLite model gives better accuracy than TF model

648 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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