Optimize Deep Learning GPU Operators with TVM: A Depthwise Convolution Example (tvmlang.org) 24 points by crowwork 8y ago ↗ HN
[–] LaPrometheus 8y ago ↗ This is super cool. Any comparison with Weld? https://weld-project.github.io/ [–] crowwork 8y 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
[–] crowwork 8y 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
[–] ysh329 8y 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-Ope...MobileNet and Depthwise Separable Convolution · Issue #70 · changtimwu/changtimwu.github.com 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
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[ 4.3 ms ] story [ 13.5 ms ] threadOptimize Deep Learning GPU Operators with TVM: A Depthwise Convolution Example 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/7...
yonghenglh6/DepthwiseConvolution: A personal mobile convolution layer implementation on caffe by liuhao.(only GPU) https://github.com/yonghenglh6/DepthwiseConvolution