the input to "bawn_pr_multi_gpu_train.py"

[zyy-fc]

Thank you for your sharing! I am impressed by your work and I have two questions about the details of code.

1. To train the priori model, the input is "train_pr.mat". However, in "bawn_pr_multi_gpu_train.py", the code is "bawn.load_data_prior('train_pr.mat','target_pr.mat')". It seems to input the '"target_pr.mat'", so how to construct the "target_pr.mat'"? Although in "assets", there are "train_pr.mat" and "target_pr.mat', but the type is unmatched. According to the code, the "target_pr.mat" should be "int32". Actually, the same questions about "bawn_ll_multi_gpu_train.py".
2. Could you tell me how to inference the noisy signal based on the trained model? Looking forward to your reply.

[Reckless564]

Hello, have you solved the first problem? I am also a rookie, could you tell me how to solve it? Thanks!

[auspicious3000]

@yuanyuan0209 You could simply convert them to the proper datatype. For inference, I used the "Fast WaveNet" algorithm, which is a little tricky to implement. However, you could just follow the paper and simply feed the appropriate inputs to do the inference.

[zyy-fc]

@yuanyuan0209 You could simply convert them to the proper datatype. For inference, I used the "Fast WaveNet" algorithm, which is a little tricky to implement. However, you could just follow the paper and simply feed the appropriate inputs to do the inference.

Thank you for you reply!

[zyy-fc]

Hello, have you solved the first problem? I am also a rookie, could you tell me how to solve it? Thanks!

I am sorry and I have not solved the problem because I am busy with other things. If I have solved it ,I will tell you at once.

[ucasiggcas]

这个mat文件是提取的啥特征啊？ 有没有相关介绍啊？

[auspicious3000]

@ucasiggcas 文档里面有说