Travis E. Oliphant wrote:
> Your approach using C++ templates is interesting, and I'm very glad for
> your explanation and your releasing of the code as open source.I'm
> not prepared to start using C++ in NumPy, however, so your code will
> have to serve as an example only.
I will keep th
Luis Pedro Coelho wrote:
> Hello all,
>
> Numpy arrays come with several reduce operations: sum(), std(), argmin(),
> min(),
>
> The traditional implementation of these suffers from two big problems: It is
> slow and it often allocates intermediate memory. I have code that is failing
> with
Luis Pedro Coelho wrote:
> Hello all,
>
> Numpy arrays come with several reduce operations: sum(), std(), argmin(),
> min(),
>
> The traditional implementation of these suffers from two big problems: It is
> slow and it often allocates intermediate memory. I have code that is failing
> with
Hello all,
Numpy arrays come with several reduce operations: sum(), std(), argmin(),
min(),
The traditional implementation of these suffers from two big problems: It is
slow and it often allocates intermediate memory. I have code that is failing
with OOM (out of memory) exceptions in call
