no
mailing-lists ( http://deeplearning.net/software/theano/#community )
--
Pascal
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Sebastian Urban)
* Faster dot() call: New/Better direct call to cpu and gpu ger, gemv, gemm
and dot(vector, vector). (James, Frédéric, Pascal)
* C implementation of Alloc. (James, Pascal)
* theano.grad() now also work with sparse variable. (Arnaud)
* Macro to implement the Jacobian/Hessian with
ems like "accumulate" infers that 'l' is the required output dtype,
but does not have the appropriate implementation:
>>> uadd.types
['OO->O']
Forcing the output dtype to be 'object' (the only supported dtype) seems
to do the trick.
Hope this helps,
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Pascal
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wo transpose.
It's even possible to apply a symmetry operation to a bunch of second
rank tensors in one go.
Pascal
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0.3])
big=numpy.random.randn(100, 3)
big=numpy.add(big,-ref)
distsquared=numpy.sum(big**2, axis=1)
Pascal
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Le Mon, 29 Mar 2010 16:12:56 -0600,
Charles R Harris a écrit :
> On Mon, Mar 29, 2010 at 3:00 PM, Pascal wrote:
>
> > Hi,
> >
> > Does anyone have an idea how fft functions are implemented? Is it
> > pure python? based on BLAS/LAPACK? or is it using fftw?
> &g
\sum_l^O-1 f_{hkl}
\exp(-2\pi \i (hx/N+ky/M+lz/O))
So for the plane, z is no longer independant.
I need to solve the system:
ax+by+cz+d=0
r(x, y, z)=\sum_h^N-1 \sum_k^M-1 \sum_l^O-1 f_{hkl}
\exp(-2\pi \i (hx/N+ky/M+lz/O))
Do you think it's possible to use numpy.fft for this?
Regards,
P
