currently the math functions are wrapped via the generic PyUfunc_* functions in numpy/core/src/umath/loops.c.src which just apply some arbitrary function to a scalar from arbitrarily strided inputs. When adding variants one likely needs to add some special purpose loops to deal with the various special requirements of the vector math api's. This involves adding some special cases to the ufunc generation in numpy/core/code_generators/generate_umath.py and then implementing the new kernel functions. See e.g. this oldish PR, which changes the sqrt function from a PyUfunc_d_d function to a special loop to take advantage of the vectorized machine instructions: https://github.com/numpy/numpy/pull/3341 some things have changed a bit since then but it does show many of the files you probably need to look for this project. On 17.03.2015 19:51, Robert Kern wrote:
On Tue, Mar 17, 2015 at 6:29 PM, Matthieu Brucher <matthieu.brucher@gmail.com <mailto:matthieu.brucher@gmail.com>> wrote:
Hi,
These functions are defined in the C standard library!
I think he's asking how to define numpy ufuncs.
2015-03-17 18:00 GMT+00:00 Shubhankar Mohapatra <mshubhankar@yahoo.co.in <mailto:mshubhankar@yahoo.co.in>>:
Hello all, I am a undergraduate and i am trying to do a project this time on numppy in gsoc. This project is about integrating vector math library classes of sleef and yeppp into numpy to make the mathematical functions faster. I have already studied the new library classes but i am unable to find the sin , cos function definitions in the numpy souce code.Can someone please help me find the functions in the source code so that i can implement the new library class into numpy. Thanking you, Shubhankar Mohapatra
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