小编Kis*_*pta的帖子

谷歌Colab错误:无法获得卷积算法.这可能是因为cuDNN无法初始化

UnknownError:无法获得卷积算法.这可能是因为cuDNN无法初始化,因此请尝试查看上面是否打印了警告日志消息.

 [[{{node conv2d_1/convolution}} = Conv2D[T=DT_FLOAT, data_format="NCHW", dilations=[1, 1, 1, 1], padding="VALID", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](zero_padding2d_1/Pad, conv2d_1/kernel/read)]]
 [[{{node metrics/acc/Mean/_255}} = _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_563_metrics/acc/Mean", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]
Run Code Online (Sandbox Code Playgroud)

我在Google colab上遇到此错误.Colab的tensorflow版本是1.12.0.

我找不到任何解决方案.原因所有这些都属于本地系统.

python tensorflow cudnn google-colaboratory

8
推荐指数
1
解决办法
3359
查看次数

标签 统计

cudnn ×1

google-colaboratory ×1

python ×1

tensorflow ×1