Conv1d content

apache · Jun 14, 2018 · ae48d71 · ae48d71
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@@ -13,6 +13,7 @@ MXNet Change Log
 - Reduced memory consumption from inplace operation for ReLU activation (#10847).
 - Improved `slice` operator performance by 20x (#11124).
 - Improved performance of depthwise convolution by using cudnnv7 if available (#11076).
+- Improved performance and memory usage of Conv1D, by adding back cuDNN support for Conv1D (#11270). This adds a known issue: The cuDNN convolution operator may throw `CUDNN_STATUS_EXECUTION_FAILED` when `req == "add"` and `cudnn_tune != off` with large inputs(e.g. 64k channels). If you encounter this issue, please consider setting `cudnn_tune = "off"`.
 
 ## 1.2.0
 ### New Features - Added Scala Inference APIs