Machine Learning, Deep Learning, Language Learning, Python, Github.
# |v [id I] f_d = aesara.function([a, v, M], d) # `a/a` -> `1` and the dot product is replaced with a BLAS function # (i.e. CGemv) aesara.dprint(f_d) # Elemwise{Add}[(0, 1)] [id A] '' 5 # |TensorConstant{(1,) of 1.0} [id B] # |CGemv{inplace} [id C] '' 4 # |AllocEmpty{dtype='float64'} [id D] '' 3 #