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请问大佬有X-vector后端plda的pytorch实现版本吗,有的话可以分享一下吗(如果可以加上x-vecotr一起就更好了)。
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看res2net的layer1部分:26*4 = 104 ==conv1x1==> 256
想减小通道数,把256 改成 64
请问,可以把26改成13,或者更小吗?会有什么不好的影响吗
比如下面:
① 13*4 = 52 ==conv1x1==> 64
② 7*4 = 28 ==conv1x1==> 64
谢谢
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使用了预加载模型,用Finetune时,后面的那个参数finetune_exclude_pretrained_params识别不了,如下图BUG
![image](https://user-images.githubusercontent.com/38208463/75046786-b4ce4780-5500-11ea-826a-7a1920863ca7.png)
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i see that the input channel of the pretrained model is the gray image,why selecting the gray image to train the model ,if using the rgb image to train model ,the performance of the model will be…
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hi, the parameters or res2next is not the same as the paper? it seems much smaller ?
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Thanks for your code!
Could you share the scripts about the DDP Training?
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Dear authors, thank you for your work and for your repo.
Is there a simple way how to find matching configuration .py file (from /configs folder) for a particular .pth file?
E.g., I am looking f…
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ValueError: (InvalidArgument) `is_test = True` CANNOT be used in train program. If you want to use global status in pre_train model, please set `use_global_stats = True`
[Hint: Expected is_test == …