[GitHub] szha commented on issue #7445: Using cuDNN for CTC Loss

szha commented on issue #7445: Using cuDNN for CTC Loss URL: https://github.com/apache/incubator-mxnet/issues/7445#issuecomment-380191490 cudnn integration for ctc requires action from cudnn team in improving the API. This

[GitHub] szha commented on issue #7445: Using cuDNN for CTC Loss

szha commented on issue #7445: Using cuDNN for CTC Loss URL: https://github.com/apache/incubator-mxnet/issues/7445#issuecomment-354379548 @apache/mxnet-committers: This issue has been inactive for the past 90 days. It has no label and needs triage. For general "how-to" questions,

[GitHub] szha commented on issue #7445: Using cuDNN for CTC Loss

szha commented on issue #7445: Using cuDNN for CTC Loss URL: https://github.com/apache/incubator-mxnet/issues/7445#issuecomment-332921106 The input length note being supported means that there's no way for me to enforce consistency between CPU and GPU implementation. cudnn version also

[GitHub] szha commented on issue #7445: Using cuDNN for CTC Loss

szha commented on issue #7445: Using cuDNN for CTC Loss URL: https://github.com/apache/incubator-mxnet/issues/7445#issuecomment-332652715 Unfortunately I have to turn cudnn CTC off because of the API design. I have requested API changes to nv people and hopefully we could incorporate that

[GitHub] szha commented on issue #7445: Using cuDNN for CTC Loss

szha commented on issue #7445: Using cuDNN for CTC Loss URL: https://github.com/apache/incubator-mxnet/issues/7445#issuecomment-322811854 Current implementation still includes the WarpCTC implementation in the GPU version and only enables cudnn version when all input requirements are met,

[GitHub] szha commented on issue #7445: Using cuDNN for CTC Loss

szha commented on issue #7445: Using cuDNN for CTC Loss URL: https://github.com/apache/incubator-mxnet/issues/7445#issuecomment-322313189 Good catch. Let me reflect this in the PR as well. This is an automated message from

[GitHub] szha commented on issue #7445: Using cuDNN for CTC Loss

szha commented on issue #7445: Using cuDNN for CTC Loss URL: https://github.com/apache/incubator-mxnet/issues/7445#issuecomment-322308517 @sbodenstein I agree. There is only one catch. It seems that the current WarpCTC supports variable-length inputs whereas cudnn7 only has the intention

[GitHub] szha commented on issue #7445: Using cuDNN for CTC Loss

szha commented on issue #7445: Using cuDNN for CTC Loss URL: https://github.com/apache/incubator-mxnet/issues/7445#issuecomment-322064100 Thanks for raising this, @sbodenstein. I'm working on using the cudnn7 implementation of CTC for GPU.