haoxue1215
haoxue1215
> @xiaozhangya 实在不行就别安装mish_cuda了,老老实实用pytorch实现的mish吧。 > 新建一个文件夹叫mish_cuda,里面放一个__init__.py文件,然后把这个mish_cuda放进 > E:\ProgramData\Anaconda3\envs\环境名称\Lib\site-packages > >  请问这个__init__.py里面些什么呀?
> @xiaozhangya 我上面的图片里面应该写了代码吧 图片都看不到啦,能再发一下或者直接发代码吗?麻烦你了
> ```python > ALL = ['MishCuda'] > import torch > > class MishCuda(torch.nn.Module): > def forward(self, x): > return x * torch.nn.functional.softplus(x).tanh() > ``` 感谢
> I used it in Yolov5. What you need to do is to read all txt files with predictions created by Yolo and gather it in single CSV file or...
Traceback (most recent call last): File "slim_prune.py", line 198, in pruned_cfg_file = write_cfg(pruned_cfg_name, [model.hyperparams.copy()] + compact_module_defs) File "D:\Anaconda3\envs\pytorch\ayolo\YOLOv3v4\utils\prune_utils.py", line 137, in write_cfg with open(cfg_file, 'w') as f: PermissionError: [Errno 13]...
> 我的错误和该issue是一样的,但我的logging文件夹中只有一个文件corpus.log,内容为: Setting up corpus information... Number of speakers in corpus: 1, average number of utterances per speaker: 198.0 Setting up training data... 这要怎么处理呢? 同问,请问你解决了吗,我看上面要安装kaldi前置依赖,但是这个依赖不知道怎么安装。
> 回复一下,其实这种情况除了log中提到缺少的库,主要还是缺少kaldi前置环境的依赖,使用mfa之前需要先安装kaldi就基本解决了 用官方的方法没办法安装kaldi,请问你是怎么安装的