The problem raised by @KZamudio is solved. The 1 in the tensor shape [a, **1**, b, c] corresponds to the depthwise convolution (convolution is only computed on 1 channel at a time). The solution was to transform the depthwise convolution into a grouped convolution with groups of size 16 as VTA only supports convolutions with a number of channels which is a multiple of 16.
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