【SNPE基础】

 

convolution操作

Convolution
For GPU runtime, when the number of groups is greater than 1, the number of output channels must be a multiple of 4 * the number of groups. For example, with 2 groups, the number of output channels must be a multiple of 8 (4*2=8).

卷积操作的GPU模式,如果groups的数值大于1,那么网络层的输出通道数必须是groups数4倍的倍数;

deconvolution操作

Deconvolution
1)For GPU and CPU runtime, the number of output channels (i.e. number of filters) can be any value (not necessarily a multiple of 4).
2)For GPU runtime the following limitations apply:
number of packed input channels * number output channels <= MaxPerGPUSize
Filter size-X * Filter size-Y <= MaxPerGPUSize
Stride <= filter size
3)For DSP runtime, deconvolutions with stride > 4 are not fully optimized.
Caffe parameter limitation: dilation and rectangular filters are not supported

对于反卷积操作,

posted on 2022-04-21 13:08  鹅要长大  阅读(59)  评论(0编辑  收藏  举报

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