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

score 274 · Answer 1 · 2025-01-05 22:30:17

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

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

score 499 · Answer 2 · 2025-01-07 02:32:43

TensorFlow QAT how to get the quantized weights

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

score 73 · 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)

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

score 1490 · Answer 4 · 2025-01-07 02:32:41

How to perform fixed-point quantization in Python

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score 1033 · 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 539 · Answer 6 · 2025-01-07 02:37:05

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

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

score 943 · Answer 7 · 2025-01-07 02:37:05

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

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

score 954 · Answer 8 · 2025-01-07 02:31:47

Tensorflow cannot quantize reshape function

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

score 555 · Answer 9 · 2025-01-07 02:37:24

Quantization aware training in tensorflow 2.2.0 producing higher inference time

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

score 687 · Answer 10 · 2025-01-07 02:34:20

Quantized TFLite model gives better accuracy than TF model

687 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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