numpy.restoredot()

numpy.restoredot() [source]

Restore dot, vdot, and innerproduct to the default non-BLAS implementations.

Typically, the user will only need to call this when troubleshooting and installation problem, reproducing the conditions of a build without an accelerated BLAS, or when being very careful about benchmarking linear algebra operations.

Note

Deprecated in Numpy 1.10 The cblas functions have been integrated into the multarray module and restoredot now longer does anything. It will be removed in Numpy 1.11.0.

Popular Articles

numpy.fmod() numpy.fmod(x1, x2[, out]) = Return the element-wise remainder of division. This is the NumPy implementation of the C library function fmod, the

numpy.fabs() numpy.fabs(x[, out]) = Compute the absolute values element-wise. This function returns the absolute values (positive magnitude) of the data in x

numpy.sum() numpy.sum(a, axis=None, dtype=None, out=None, keepdims=False) [source] Sum of array elements over a given axis. Parameters: a : array_like Elem

numpy.tan() numpy.tan(x[, out]) = Compute tangent element-wise. Equivalent to np.sin(x)/np.cos(x) element-wise. Parameters: x : array_like Input array. o

numpy.isneginf() numpy.isneginf(x, y=None) [source] Test element-wise for negative infinity, return result as bool array. Parameters: x : array_like The input a