Hi! I've written a little code of numpy code that does a neural network feedforward calculation:
def feedforward(self,x): for activation, w, b in zip( self.activations, self.weights, self.biases ): x = activation( np.dot(w, x) + b) This works fine when my activation functions are in Python, however I've wrapped the activation functions from a C implementation that requires the array to be memory aligned. (due to simd instructions in the C implementation.) So I need the operation np.dot( w, x) + b to return a ndarray where the data pointer is aligned. How can I do that? Is it possible at all? (BTW: the function works correctly about 20% of the time I run it, and else it segfaults on the simd instruction in the the C function) Thanks, -Øystein
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