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I are attempting to understand VGG16 model. But now, I obtained an mistake like,
Using TensorFlow backend. UnknownError: Failed to get convolution criteria. This is definitely most likely because cuDNN failed to initialize, therefore try searching to find if a warning log information was printed above. node conv2d1/convolution = Conv2DT=DTFLOAT, dataformat='NCHW', dilations=1, 1, 1, 1, cushioning='VALID', strides=1, 1, 1, 1, usecudnnongpu=correct, gadget='/job:localhost/look-alike:0/job:0/gadget:GPU:0'(conv2n1/convolution-0-TransposeNHWCToNCHW-LayoutOptimizer, conv2d1/kernel/read) node dense3/Softmax/211 = Recvclientterminated=false, recvdevice='/job:localhost/imitation:0/job:0/gadget:Central processing unit:0', senddevice='/job:localhost/imitation:0/task:0/gadget:GPU:0', senddeviceincarnation=1, tensorname='advantage237dense3/Softmax', tensortype=DTFLOAT, device='/job:localhost/look-alike:0/job:0/device:Processor:0'
Right here are my system versions,
- Windows 10
- Tensorflow 1.10.0
- Python 3.6.7
- cuDNN and CUDA;
- NVIDIA GeForce GTX 1050TI
- Keras, Making use of TensorFlow backend.2.2.4
nvcc: NVIDIA (R) Cuda compiler motorist Copyright (c) 2005-2017 NVIDIA Corporation Built on FriSep121:08:32CentralDaylightTime2017 Cuda collection tools, release 9.0, V9.0.176
If you need the program code;
The error pops upward;
Mustafa Aktaş
Mustafa AktaşMustafa Aktaş
1 Reply
Option: Verify the updates for the NVIDIA motorists and upgrade it.
Mustafa AktaşMustafa Aktaş