wenyangchu opened a new issue #11341: Deterministic cudnn algorithms URL: https://github.com/apache/incubator-mxnet/issues/11341 Hi all, I see other frameworks such as pytorch have some actions to have a flag to force cudnn to only use deterministic algorithm, specially for convolution and maxpooling: like in pytorch: [example](https://github.com/pytorch/pytorch/pull/2893/files) Some references to cudnn: [maxpooling](https://docs.nvidia.com/deeplearning/sdk/cudnn-archived/cudnn_713/cudnn-developer-guide/index.html#cudnnPoolingMode_t ) [cudnnConvolutionBackwardData](https://docs.nvidia.com/deeplearning/sdk/cudnn-archived/cudnn_713/cudnn-developer-guide/index.html#cudnnConvolutionBackwardData) [cudnnConvolutionBwdFilterAlgo_t](https://docs.nvidia.com/deeplearning/sdk/cudnn-archived/cudnn_713/cudnn-developer-guide/index.html#cudnnConvolutionBwdFilterAlgo_t) I am doing a medical product and reproducibility is an issue. Therefore, this feature will be very important for me. One solution is to have a flag like MXNET_CUDNN_AUTOTUNE_DEFAULT. Anyone is doing it? I have reviewed the current code and want to do it. Any suggestion or better solution? Thanks
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