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

score 269 · Answer 1 · 2025-01-05 22:30:17

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

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

score 495 · Answer 2 · 2025-01-07 02:32:43

TensorFlow QAT how to get the quantized weights

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

score 70 · 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)

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

score 1486 · Answer 4 · 2025-01-07 02:32:41

How to perform fixed-point quantization in Python

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score 1028 · 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 536 · Answer 6 · 2025-01-07 02:37:05

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

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

score 938 · Answer 7 · 2025-01-07 02:37:05

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

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

score 952 · Answer 8 · 2025-01-07 02:31:47

Tensorflow cannot quantize reshape function

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

score 553 · Answer 9 · 2025-01-07 02:37:24

Quantization aware training in tensorflow 2.2.0 producing higher inference time

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

score 684 · Answer 10 · 2025-01-07 02:34:20

Quantized TFLite model gives better accuracy than TF model

684 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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