anirudhacharya opened a new issue #10754: Support for LpPooling in Pooling operator URL: https://github.com/apache/incubator-mxnet/issues/10754 [Pooling operator](http://mxnet.incubator.apache.org/api/python/ndarray/ndarray.html#mxnet.ndarray.Pooling) currently supports ‘avg’, ‘max’ and ‘sum’ pooling. There is no support for lp pooling. LpPooling is computed by calculating the Lp norm on all values of a subset of the input tensor according to the kernel size and then down-sampling the data into the output tensor. Pytorch and Caffe2 have support for this operator. The existing Pooling operator should be modified to support Lp pooling. @piiswrong @szha @zheng-da @haojin2 @eric-haibin-lin
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