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Diffstat (limited to 'numpy/add_newdocs.py')
| -rw-r--r-- | numpy/add_newdocs.py | 37 |
1 files changed, 0 insertions, 37 deletions
diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py index 09311a536..6f3a10de4 100644 --- a/numpy/add_newdocs.py +++ b/numpy/add_newdocs.py @@ -2174,43 +2174,6 @@ add_newdoc('numpy.core', 'einsum', """) -add_newdoc('numpy.core', 'alterdot', - """ - Change `dot`, `vdot`, and `inner` to use accelerated BLAS functions. - - Typically, as a user of Numpy, you do not explicitly call this function. If - Numpy is built with an accelerated BLAS, this function is automatically - called when Numpy is imported. - - When Numpy is built with an accelerated BLAS like ATLAS, these functions - are replaced to make use of the faster implementations. The faster - implementations only affect float32, float64, complex64, and complex128 - arrays. Furthermore, the BLAS API only includes matrix-matrix, - matrix-vector, and vector-vector products. Products of arrays with larger - dimensionalities use the built in functions and are not accelerated. - - See Also - -------- - restoredot : `restoredot` undoes the effects of `alterdot`. - - """) - -add_newdoc('numpy.core', 'restoredot', - """ - 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. - - See Also - -------- - alterdot : `restoredot` undoes the effects of `alterdot`. - - """) - add_newdoc('numpy.core', 'vdot', """ vdot(a, b) |