Metadata-Version: 2.1
Name: mxnet-octave-conv
Version: 0.1.0
Summary: Octave convolution
Home-page: https://github.com/CyberZHG/mxnet-octave-conv
Author: CyberZHG
Author-email: CyberZHG@gmail.com
License: Anti 996
Description: # MXNet Octave Conv
        
        [![Travis](https://travis-ci.org/CyberZHG/mxnet-octave-conv.svg)](https://travis-ci.org/CyberZHG/mxnet-octave-conv)
        [![Coverage](https://coveralls.io/repos/github/CyberZHG/mxnet-octave-conv/badge.svg?branch=master)](https://coveralls.io/github/CyberZHG/mxnet-octave-conv)
        [![996.ICU](https://img.shields.io/badge/license-Anti%20996-blue.svg)](https://996.icu) 
        
        Unofficial implementation of [Drop an Octave: Reducing Spatial Redundancy in
        Convolutional Neural Networks with Octave Convolution](https://arxiv.org/pdf/1904.05049.pdf).
        
        ## Install
        
        ```bash
        pip install mxnet-octave-conv
        ```
        
        ## Usage
        
        ```python
        import mxnet as mx
        from mxnet_octave_conv import octave_conv, octave_dual
        
        mx.symbol.Variable(name='data')
        conv = octave_conv(x, num_filter=7, kernel=(3, 3))
        pool = octave_dual(conv, lambda data: mx.symbol.Pooling(data, kernel=(2, 2), stride=(2, 2), pool_type='max'))
        conv = octave_conv(pool, num_filter=5, kernel=3, stride=1, dilate=(2, 3), name='Mid')
        pool = octave_dual(conv, lambda data: mx.symbol.Pooling(data, kernel=(2, 2), stride=(2, 2), pool_type='max'))
        conv = octave_conv(pool, num_filter=3, kernel=3, stride=(1, 1), dilate=1, ratio_out=0.0)
        pool = octave_dual(conv, lambda data: mx.symbol.Pooling(data, kernel=(2, 2), stride=(2, 2), pool_type='max'))
        flatten = mx.symbol.Flatten(pool)
        dense = mx.symbol.FullyConnected(flatten, num_hidden=2)
        model = mx.symbol.SoftmaxOutput(dense, name='softmax')
        print(mx.visualization.print_summary(model, shape={'data': (2, 3, 32, 32)}))
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Classifier: License :: Other/Proprietary License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
