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

score 260 · Answer 1 · 2025-01-05 22:30:17

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

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

score 485 · Answer 2 · 2025-01-07 02:32:43

TensorFlow QAT how to get the quantized weights

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score 59 · 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)

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score 1474 · Answer 4 · 2025-01-07 02:32:41

How to perform fixed-point quantization in Python

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score 1016 · Answer 5 · 2025-01-07 02:38:21

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score 525 · Answer 6 · 2025-01-07 02:37:05

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

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score 925 · Answer 7 · 2025-01-07 02:37:05

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

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

score 941 · Answer 8 · 2025-01-07 02:31:47

Tensorflow cannot quantize reshape function

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score 543 · Answer 9 · 2025-01-07 02:37:24

Quantization aware training in tensorflow 2.2.0 producing higher inference time

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

score 678 · Answer 10 · 2025-01-07 02:34:20

Quantized TFLite model gives better accuracy than TF model

678 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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