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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