NJU-Jet SR_Mobile_Quantization issues

NJU-Jet / SR_Mobile_Quantization

Winner solution of mobile AI (CVPRW 2021).

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There is a problem when I convert the model to tflite

#19 biuping opened 2 years ago
0
what is the differences between tf.yaml and tfnightly.yaml?

#18 coolKeen opened 2 years ago
0
How to genereate the pt file which required by DIV2K_train.txt?

#17 leiwen83 closed 2 years ago
2
About more convolution after deep feature extraction

#16 mychina75 closed 2 years ago
3
Code for Investigation of meta-node latency

#15 nisargshah1999 opened 3 years ago
0
The model is trained without input normalization, so you don't need to divide 255 when testing.

#14 NJU-Jet opened 3 years ago
0
CPU time mentioned in the report refer to single core or multi-core？

#13 lyy-zz closed 3 years ago
2
how to add gan loss in this code

#12 Lvhhhh closed 3 years ago
2
how to evaluate by pretrained pb?

#11 lyy-zz closed 3 years ago
7
How to deal with QuantizeLinear and DequantizeLinear node when I do qutization using openvino/tnn/mnn?

#10 xiaoxiongli opened 3 years ago
1
it seems the inference is very slow on my linux server?

#9 xiaoxiongli opened 3 years ago
5
running time on AI Benchmark App

#8 caijie0620 opened 3 years ago
3
During QAT training for scale = 2, do I need change below "3" to "2" ?

#7 xiaoxiongli opened 3 years ago
1
generate_tflite failed

#6 Lvhhhh closed 3 years ago
1
tensorflow version

#5 caijie0620 opened 3 years ago
2
a bug that during training the x2 model, 0811.pt is not generated?

#4 xiaoxiongli opened 3 years ago
6
it seems have a bug when I train a x2(scale=2) model?

#3 xiaoxiongli opened 3 years ago
1
I want to train the model and then I need a int8 onnx model, what should I do step by step?

#2 xiaoxiongli opened 3 years ago
6
How to convert tflite model to onnx model?

#1 xiaoxiongli opened 3 years ago
3