maxframe.tensor.log10#

maxframe.tensor.log10(x, out=None, where=None, **kwargs)[source]#

Return the base 10 logarithm of the input tensor, element-wise.

Parameters:

  • x (array_like) – Input values.

  • out (Tensor, None, or tuple of tensor and None, optional) – A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated tensor is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

  • where (array_like, optional) – Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.

  • **kwargs

Returns:

y – The logarithm to the base 10 of x, element-wise. NaNs are returned where x is negative.

Return type:

Tensor

Notes

Logarithm is a multivalued function: for each x there is an infinite number of z such that 10**z = x. The convention is to return the z whose imaginary part lies in [-pi, pi].

For real-valued input data types, log10 always returns real output. For each value that cannot be expressed as a real number or infinity, it yields nan and sets the invalid floating point error flag.

For complex-valued input, log10 is a complex analytical function that has a branch cut [-inf, 0] and is continuous from above on it. log10 handles the floating-point negative zero as an infinitesimal negative number, conforming to the C99 standard.

References

Examples

>>> import maxframe.tensor as mt

>>> mt.log10([1e-15, -3.]).execute()
array([-15.,  NaN])
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