Got this error on windows 10
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_1/Adam/gradients/conv2d_1/convolution_grad/Conv2DBackpropFilter"], 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"](training_1/Adam/gradients/conv2d_1/convolution_grad/Conv2DBackpropFilter-0-TransposeNHWCToNCHW-LayoutOptimizer, conv2d_1/kernel/read)]] [[{{node loss_1/mul/_267}} = _Recvclient_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_782_loss_1/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]
I have RTx 2070 and :
Python 3.6.5 tf 1.12.0 tf-gpu 1.12.0 cuda 9.0 with all patches. cudnn 7.3.1 keras 2.2.4
I know nvdia page for cudnn and I read some other answers here. I am interested in small details that are missing. After moving 3 files to 3 directories in the CUDA folder, is there one more step ? Perhaps there is an order in which different parts need to be installed ?
Cuda seems to work fine, python sees it, also matlab sees it.
The error happens while running this code for mnist that I got from the web, which works if I uninstall tensorflow-gpu and use tensorflow on cpu.
An example of great help in the past was that you can't install cuda unless you go custom and uncheck the visual studio option. Thank you !
