def approx_exp(x):
x = relay.minimum(relay.maximum(x, C((- 88.0))), C(88.0))
x = (C(127.0) + (x * C(1.44269504)))
xf = relay.floor(x)
i = relay.cast(xf, 'int32')
x = (x - xf)
Y = (C(0.99992522) + (x * (C(0.69583354) + (x * (C(0.22606716) + (x * C(0.078024523)))))))
exponent = relay.left_shift(i, relay.expr.const(23, 'int32'))
exponent = relay.reinterpret(exponent, 'float32')
return (exponent * Y)
def approx_exp(x):
# An approximation derived from Opus,
# https://github.com/xiph/opus/blob/c1c247/celt/mathops.h#L147-L165
x = relay.minimum(relay.maximum(x, C(-88.0)), C(88.0))
x = C(127.0) + x * C(1.44269504)
xf = relay.floor(x)
i = relay.cast(xf, "int32")
x = x - xf
Y = C(0.99992522) + x * (C(0.69583354) + x * (C(0.22606716) + x * C(0.078024523)))
exponent = relay.left_shift(i, relay.expr.const(23, "int32"))
exponent = relay.reinterpret(exponent, "float32")
return exponent * Y
