foscat.heal_NN
==============

.. py:module:: foscat.heal_NN


Classes
-------

.. autoapisummary::

   foscat.heal_NN.CNN
   foscat.heal_NN.GCNN


Module Contents
---------------

.. py:class:: CNN(nparam=1, KERNELSZ=3, NORIENT=4, chanlist=[], in_nside=1, n_chan_in=1, SEED=1234, add_undersample_data=False, all_type='float32', filename=None, scat_operator=None, BACKEND='tensorflow')

   .. py:attribute:: mpi_size
      :value: 1



   .. py:attribute:: mpi_rank
      :value: 0



   .. py:attribute:: BACKEND
      :value: 'tensorflow'



   .. py:attribute:: gpupos


   .. py:attribute:: ngpu
      :value: 1



   .. py:attribute:: gpulist


   .. py:method:: save(filename)


   .. py:method:: get_number_of_weights()


   .. py:method:: set_weights(x)


   .. py:method:: get_weights()


   .. py:method:: init_wave()


   .. py:method:: calc_matrix_first_layer(noise_map)


   .. py:method:: eval(in_im, indices=None, weights=None, out_map=False, first_layer_rot=None, activation='relu')


.. py:class:: GCNN(nparam=1, KERNELSZ=3, NORIENT=4, chanlist=[], in_nside=1, out_chan=1, SEED=1234, all_type='float32', filename=None, scat_operator=None, BACKEND='tensorflow')

   .. py:attribute:: mpi_size
      :value: 1



   .. py:attribute:: mpi_rank
      :value: 0



   .. py:attribute:: BACKEND
      :value: 'tensorflow'



   .. py:attribute:: gpupos


   .. py:attribute:: ngpu
      :value: 1



   .. py:attribute:: gpulist


   .. py:method:: save(filename)


   .. py:method:: get_number_of_weights()


   .. py:method:: set_weights(x)


   .. py:method:: get_weights()


   .. py:method:: eval(im, indices=None, weights=None)