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import os
import ctypes as ct
import numpy as np
from cudamat import load_library, generate_exception
_cudalearn = load_library('libcudalearn')
_cudalearn.mult_by_sigmoid_deriv.restype = ct.c_int
def mult_by_sigmoid_deriv(target, acts):
"""
target = target * acts * (1 - acts)
Useful for doing backprop in neural networks with logistic units.
"""
err_code = _cudalearn.mult_by_sigmoid_deriv(target.p_mat, acts.p_mat)
if err_code:
raise generate_exception(err_code)
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