[GitHub] nswamy commented on a change in pull request #12691: [MXNET-1001] [WIP] Add new cudnn_tune, cudnn_off params in gluon conv blocks

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nswamy commented on a change in pull request #12691: [MXNET-1001] [WIP] Add new cudnn_tune, cudnn_off params in gluon conv blocks
URL: https://github.com/apache/incubator-mxnet/pull/12691#discussion_r221475835
 
 

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 File path: python/mxnet/gluon/nn/conv_layers.py
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 @@ -86,10 +86,15 @@ class _Conv(HybridBlock):
         Initializer for the `weight` weights matrix.
     bias_initializer: str or `Initializer`
         Initializer for the bias vector.
+    cudnn_tune: {None, 'fastest', 'limited_workspace', 'off'}, Optional, default='None'
+        Whether to pick convolution algo by running performance test.
+    cudnn_off: boolean, optional, default=False
 
 Review comment:
   Is this parameter different from `cudnn_tune='off'` ? Can the default be `off` instead of None?
   Also, please explain what each option in `cudnn_tune` mean

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