-lists ( http://deeplearning.net/software/theano/#community )
--
Pascal
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
)
* 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
theano.tensor
:
uadd.types
['OO-O']
Forcing the output dtype to be 'object' (the only supported dtype) seems
to do the trick.
Hope this helps,
--
Pascal
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
a symmetry operation to a bunch of second
rank tensors in one go.
Pascal
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
)
Pascal
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
Le Mon, 29 Mar 2010 16:12:56 -0600,
Charles R Harris charlesr.har...@gmail.com a écrit :
On Mon, Mar 29, 2010 at 3:00 PM, Pascal pascal...@parois.net 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
\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,
Pascal
