HyperGP.tensor.loge

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HyperGP.tensor.loge#

loge(x)[source]#

Perform the natural logarithm of an array, elementwise.

The natural logarithm is logarithm in base e, so that log(exp(x)) = x

Parameters:

x (Tensor or array_like) – Elements to perform the natural logarithm.

Returns:

the natural logarithm of an array.

Return type:

ret(Tensor)

Examples

import modules

>>> import numpy as np
>>> from HyperGP import Tensor
>>> import time

array initialization

>>> x1 = np.random.uniform(-1, 1, size=(500, 100000))
>>> x1_t = Tensor(x1)

runtime test

>>> st = time.time()
>>> ar = [np.log(x1) for i in range(10)]
>>> print("numpy runtime: ", time.time() - st)

>>> st = time.time()
>>> ar = [HyperGP.log(x1_t) for i in range(10)]
>>> print("HyperGP runtime: ", time.time() - st)
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