tensorflow.python.framework.errors_impl.UnknownError: Failed to get convolution algorithm. 解决方法
一、问题描述
在使用tensorflow-gpu时,出现下面的错误:
tensorflow.python.framework.errors_impl.UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
[[{{node conv2d_1/convolution}} = Conv2D[T=DT_FLOAT, _class=["loc:@training/Adam/gradients/conv2d_1/convolution_grad/Conv2DBackpropFilter"], data_format="NCHW", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](training/Adam/gradients/conv2d_1/convolution_grad/Conv2DBackpropFilter-0-TransposeNHWCToNCHW-LayoutOptimizer, conv2d_1/kernel/read)]]
[[{{node loss/mul/_427}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_3042_loss/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

二、解决方法
因为我一开始是直接在Pycharm里安装的tensorflow-gpu库,个人感觉应该是缺少了相关的库安装导致的。
故我使用conda再次安装一下tensorflow-gpu,
conda install tensorflow-gpu
然后问题就解决了。
新一代开源开发者平台 GitCode,通过集成代码托管服务、代码仓库以及可信赖的开源组件库,让开发者可以在云端进行代码托管和开发。旨在为数千万中国开发者提供一个无缝且高效的云端环境,以支持学习、使用和贡献开源项目。
更多推荐


所有评论(0)