Does CHaiDNN support the Depthwise convolution layer?
The document (https://github.com/Xilinx/CHaiDNN/blob/master/docs/SUPPORTED_LAYERS.md) says the CHaiDNN supports the Depthwise Convolution Layer. But when we actually run a Depthwise Convolution Layer on it, the CHaiDNN can run it and outputs a result, but the result is not correct. So, I wonder Does the CHaiDNN support the Depthwise convolution layer or not? If the CHaiDNN does support the Depthwise convolution layer, has anyone used this successfully? Is there a demo to show how to use this feature?
It seems that the problem lies in the quantization rather than the layer implementation itself.
The paper below attempted a MobileNet model that could be used on fixed point quantization.
https://arxiv.org/pdf/1803.08607.pdf
Hi @mazhongzhong @ishida66 Have you solved this problem please?
Thanks xuelei