apeforest commented on issue #16167: [RFC] Apache MXNet 2.0 Roadmap URL: https://github.com/apache/incubator-mxnet/issues/16167#issuecomment-588530481 Is there a plan to remove the cudnn_off argument from the neural network operators such as Dropout, Convolution, Pool etc. It creates a few usability issues: (1) Once a model is exported. It requires users to change this flag in all the layers manually if they want to enable/disable cuDNN. When the cudnn_off is set to true in some layers, the global env variable `MXNET_CUDNN_AUTOTUNE_DEFAULT` becomes don't care. It's very confusing to users to see an error message like "Please turn off MXNET_CUDNN_AUTOTUNE_DEFAULT" by indeed it does not do anything. (2) Why did we expose such implementation detail to users at the first place? In the worst case, we should just provide a global variable to turn on/off cuDNN in all layers instead of at operator level.
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