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Titan X Pascal on VGG16 much slower on my machine than in benchmark

score 134 · Answer 1 · 2016-12-18 16:19:19

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Titan X Pascal on VGG16 much slower on my machine than in benchmark

134 views Asked by Marcel_marcel1991 At 18 December 2016 at 16:19

score 1066 · Answer 2 · 2016-12-21 22:34:26

Temporarily disable cuDNN in Caffe

1k views Asked by TiggerToo At 21 December 2016 at 22:34

score 517 · Answer 3 · 2016-12-24 10:43:39

cudnn: CUDNN_SOFTMAX_FAST ouputing NaN when CUDNN_SOFTMAX_ACCURATE workings fine

517 views Asked by Nathan At 24 December 2016 at 10:43

score 6352 · Answer 4 · 2016-12-24 05:33:49

No OpKernel was registered to support Op 'Conv2D' with these attrs

6.3k views Asked by this_some_name At 24 December 2016 at 05:33

score 893 · Answer 5 · 2017-01-04 10:33:07

cudnnRNNForwardTraining seqLength / xDesc usage

893 views Asked by Albert At 04 January 2017 at 10:33

score 809 · Answer 6 · 2017-08-30 13:53:24

Tensorflow Custom Compile on Windows

809 views Asked by Megukaphii At 30 August 2017 at 13:53

score 1506 · Answer 7 · 2017-09-02 06:02:19

Upgrading Tensorflow to 1.3.0 and cuDNN

1.5k views Asked by WKIm At 02 September 2017 at 06:02

score 7343 · Answer 8 · 2017-09-02 15:03:39

TensorFlow: could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR but no other TF instances running

7.3k views Asked by GhostRider At 02 September 2017 at 15:03

score 128387 · Answer 9 · 2017-09-05 22:58:28

CUDA_HOME path for Tensorflow

128.3k views Asked by Ron Cohen At 05 September 2017 at 22:58

score 409 · Answer 10 · 2020-10-19 17:46:06

Does cudnnCreate() call create multiple streams internally?

409 views Asked by sandeep.ganage At 19 October 2020 at 17:46

TechQA.

List Question

Titan X Pascal on VGG16 much slower on my machine than in benchmark

Temporarily disable cuDNN in Caffe

cudnn: CUDNN_SOFTMAX_FAST ouputing NaN when CUDNN_SOFTMAX_ACCURATE workings fine

No OpKernel was registered to support Op 'Conv2D' with these attrs

cudnnRNNForwardTraining seqLength / xDesc usage

Tensorflow Custom Compile on Windows

Upgrading Tensorflow to 1.3.0 and cuDNN

TensorFlow: could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR but no other TF instances running

CUDA_HOME path for Tensorflow

Does cudnnCreate() call create multiple streams internally?

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