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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