[GitHub] pribadihcr opened a new issue #10832: custom kernel

[GitBox <gi...@apache.org>]

pribadihcr opened a new issue #10832: custom kernel
URL: https://github.com/apache/incubator-mxnet/issues/10832
 
 
   HI,
   How to make custom kernel for mxnet convolution like the following tf version:
   def gauss_kernel(kernlen=21, nsig=3, channels=1):
       interval = (2*nsig+1.)/(kernlen)
       x = np.linspace(-nsig-interval/2., nsig+interval/2., kernlen+1)
       kern1d = np.diff(st.norm.cdf(x))
       kernel_raw = np.sqrt(np.outer(kern1d, kern1d))
       kernel = kernel_raw/kernel_raw.sum()
       out_filter = np.array(kernel, dtype = np.float32)
       out_filter = out_filter.reshape((kernlen, kernlen, 1, 1))
       out_filter = np.repeat(out_filter, channels, axis = 2)
       return out_filter
   
   def blur(x):
       kernel_var = gauss_kernel(21, 3, 3)
       return tf.nn.depthwise_conv2d(x, kernel_var, [1, 1, 1, 1], padding='SAME')

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