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tswedish/backward.py

Last active May 26, 2020 20:32
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backward.py
def backward(self, output_gradient=1.):
# combine gradients from other paths and propagate to children
self.gradient += output_gradient
local_gradient = self.derivative_op(*self.calc_input_values())
for differential, input_variable in zip(local_gradient, self.input_variables):
input_variable.backward(differential * output_gradient)
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