在anaconda下创建了tensorflow环境后,我安装了tensorflow-gpu.然后我试图导入tensorflow来验证它是否正确安装,但得到了这个错误:
ImportError: Could not find 'cudnn64_7.dll'. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH% environment variable. Note that installing cuDNN is a separate step from installing CUDA, and this DLL is often found in a different directory from the CUDA DLLs. You may install the necessary DLL by downloading cuDNN 7 from this URL: https://developer.nvidia.com/cudnn
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设置是:
NVIDIA GTX 1080
CUDA 9.0
cuDNN 6.0
tensorflow-gpu 1.5
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环境变量是:
CUDA_PAT: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0 …Run Code Online (Sandbox Code Playgroud) 我刚读完Transformer论文和BERT论文。但无法弄清楚为什么 BERT 论文中提到的 Transformer 是单向的,而 BERT 是双向的。由于他们不使用循环网络,因此解释方向并不那么简单。任何人都可以提供一些线索吗?谢谢。