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Optimize Deep Learning GPU Operators with TVM: A Depthwise Convolution Example

• Huyuwei 9y ago
  interesting work.
• LaPrometheus 9y ago
  This is super cool. Any comparison with Weld? https://weld-project.github.io/ https://weld-project.github.io/
  • crowwork 9y ago
    as far as i know weld is optimized for data analytics workload so far(dataframe) while tvm is optimized for tensor deep learning workloads with great cpu, gpu and other supports
• deleted 9y ago
  [deleted]
• ysh329 9y ago
  A collection about depthwise conv: Optimize Deep Learning GPU Operators with TVM: A Depthwise Convolution Example http://tvmlang.org/2017/08/22/Optimize-Deep-Learning-GPU-Operators-with-TVM-A-Depthwise-Convolution-Example.html http://tvmlang.org/2017/08/22/Optimize-Deep-Learning-GPU-Ope... MobileNet and Depthwise Separable Convolution · Issue #70 · changtimwu/changtimwu.github.com https://github.com/changtimwu/changtimwu.github.com/issues/70 https://github.com/changtimwu/changtimwu.github.com/issues/7... yonghenglh6/DepthwiseConvolution: A personal mobile convolution layer implementation on caffe by liuhao.(only GPU) https://github.com/yonghenglh6/DepthwiseConvolution https://github.com/yonghenglh6/DepthwiseConvolution