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sorry to trouble!
I just downdload the latest caffe-master and cudnn v2,but this occour:
cudnn_conv_layer.cu:65] Check failed: status == CUDNN_STATUS_SUCCESS (8 vs. 0) CUDNN_STATUS_EXECUTION_FAILED
How can i fix this problem
Thanks!
The text was updated successfully, but these errors were encountered:
I have the same problem, can be reproduced when running either of the cifar10 examples (train_quick.sh or train_full.sh), but the mnist example works fine on GPU, as does NVIDIA's cudnn-sample-v2 code.
shelhamer
changed the title
CUDNN_STATUS_SUCCESS (8 vs. 0) CUDNN_STATUS_EXECUTION_FAILED
cuDNN v2 out-of-memory CUDNN_STATUS_SUCCESS (8 vs. 0) CUDNN_STATUS_EXECUTION_FAILED
Mar 25, 2015
Sorry about that -- there should be a fix shortly for the automatic selection. This is happening because cuDNN is selecting the fastest but memory consuming algorithm so that the GPU runs out of memory. We're also figuring out the right way to expose the manual choice of convolution algorithm in the model definition.
sorry to trouble!
I just downdload the latest caffe-master and cudnn v2,but this occour:
cudnn_conv_layer.cu:65] Check failed: status == CUDNN_STATUS_SUCCESS (8 vs. 0) CUDNN_STATUS_EXECUTION_FAILED
How can i fix this problem
Thanks!
The text was updated successfully, but these errors were encountered: