#4776 is definitely a separate issue. #4007 could be related similar f2c ABI issues, but I don't think so. The difference between the gfotran and g77/f2c ABIs, to my knowledge, is that (1) fortran REAL (single precision floating point) return values are actually returned as a c double, not a c float. (2) when return values are complex, the function is actually implemented with an ABI that looks like a c function with an extra pass-by-reference argument at the front of the function where the return value is placed.
Despite the differences in the handling of the return values, I don't think there is any difference in how float32 parameters are passed *in*, so I'm not sure that these issues are related to subroutines like SGEMV which is presumably behind #4007. -Robert On Sun, Jun 8, 2014 at 8:33 PM, Matthew Brett <matthew.br...@gmail.com> wrote: > Hi, > > On Mon, Jun 9, 2014 at 2:31 AM, Robert McGibbon <rmcgi...@gmail.com> > wrote: > > Yeah, that's definitely not the right signature for sdot when linked > against > > the Accelerate framework. > > > > But what's the purpose of those wrappers in _umath_linalg? The one for > sdot, > > for example, doesn't appear to be used internally, and it isn't available > > from the python side. While scipy has all of those function pointers > > accessible in scipy.linalg.blas (e.g. scipy.linalg.blas.sdot._cpointer), > > those function pointers point to the underlying blas function and expose > the > > ABI differences between platforms, leading to, for example the utter > > nightmare of using the scipy blas function pointers from cython in a > cross > > platform way: https://gist.github.com/anonymous/6659007. > > Is it possible this is related to: > > https://github.com/numpy/numpy/issues/4007 > > or even: > > https://github.com/numpy/numpy/issues/4776 > > ? > > Best, > > Matthew > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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