您好 想问您两个个有关代码相关的问题 将您的代码放在windows本地运行并把路径设置好后 出现了如下问题：
1：Traceback (most recent call last):
File "train_rnn.py", line 91, in
train()
File "train_rnn.py", line 86, in train
trainer = trainer_Dual_RNN.Trainer(train_dataloader, val_dataloader, Dual_Path_RNN, optimizer, scheduler, opt)
File "D:\Dual-Path-RNN-Pytorch-master\Dual-Path-RNN-Pytorch-master\trainer\trainer_Dual_RNN.py", line 39, in init
self.dualrnn = Dual_RNN.to(self.device)
File "E:\anaconda\envs\torch_gpu\lib\site-packages\torch\nn\modules\module.py", line 1152, in to
return self._apply(convert)
File "E:\anaconda\envs\torch_gpu\lib\site-packages\torch\nn\modules\module.py", line 802, in _apply
module._apply(fn)
File "E:\anaconda\envs\torch_gpu\lib\site-packages\torch\nn\modules\module.py", line 802, in _apply
module._apply(fn)
File "E:\anaconda\envs\torch_gpu\lib\site-packages\torch\nn\modules\module.py", line 825, in _apply
param_applied = fn(param)
File "E:\anaconda\envs\torch_gpu\lib\site-packages\torch\nn\modules\module.py", line 1150, in convert
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
RuntimeError: CUDA error: invalid device ordinal
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.请问是yaml文件中cuda序号配置的问题吗？我的电脑只有一块NVIDIA 2070系列的显卡
2：在test.yaml文件中datasets设置中
cmvn_file: /home/likai/data1/DPCL/cmvn.ark这个文件在您的项目中没有找到 请问这个文件是需要我自己创建还是直接运行程序它自动生成呢？
期望能得到您的回复！
JusperLee
commented
2 months ago
您好 想问您两个个有关代码相关的问题 将您的代码放在windows本地运行并把路径设置好后 出现了如下问题： 1：Traceback (most recent call last): File "train_rnn.py", line 91, in
train()
File "train_rnn.py", line 86, in train
trainer = trainer_Dual_RNN.Trainer(train_dataloader, val_dataloader, Dual_Path_RNN, optimizer, scheduler, opt)
File "D:\Dual-Path-RNN-Pytorch-master\Dual-Path-RNN-Pytorch-master\trainer\trainer_Dual_RNN.py", line 39, in init
self.dualrnn = Dual_RNN.to(self.device)
File "E:\anaconda\envs\torch_gpu\lib\site-packages\torch\nn\modules\module.py", line 1152, in to
return self._apply(convert)
File "E:\anaconda\envs\torch_gpu\lib\site-packages\torch\nn\modules\module.py", line 802, in _apply
module._apply(fn)
File "E:\anaconda\envs\torch_gpu\lib\site-packages\torch\nn\modules\module.py", line 802, in _apply
module._apply(fn)
File "E:\anaconda\envs\torch_gpu\lib\site-packages\torch\nn\modules\module.py", line 825, in _apply
param_applied = fn(param)
File "E:\anaconda\envs\torch_gpu\lib\site-packages\torch\nn\modules\module.py", line 1150, in convert
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
RuntimeError: CUDA error: invalid device ordinal
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with
TORCH_USE_CUDA_DSAto enable device-side assertions.请问是yaml文件中cuda序号配置的问题吗？我的电脑只有一块NVIDIA 2070系列的显卡 2：在test.yaml文件中datasets设置中 cmvn_file: /home/likai/data1/DPCL/cmvn.ark这个文件在您的项目中没有找到 请问这个文件是需要我自己创建还是直接运行程序它自动生成呢？ 期望能得到您的回复！