foscat.Synthesis
================

.. py:module:: foscat.Synthesis


Classes
-------

.. autoapisummary::

   foscat.Synthesis.Loss
   foscat.Synthesis.Synthesis


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

.. py:class:: Loss(function, scat_operator, *param, name='', batch=None, batch_data=None, batch_update=None, info_callback=False)

   .. py:attribute:: loss_function


   .. py:attribute:: scat_operator


   .. py:attribute:: to_numpy


   .. py:attribute:: args
      :value: ()



   .. py:attribute:: name
      :value: ''



   .. py:attribute:: batch
      :value: None



   .. py:attribute:: batch_data
      :value: None



   .. py:attribute:: batch_update
      :value: None



   .. py:attribute:: info
      :value: False



   .. py:attribute:: id_loss
      :value: 0



   .. py:method:: eval(x, batch, return_all=False)


   .. py:method:: set_id_loss(id_loss)


   .. py:method:: get_id_loss(id_loss)


.. py:class:: Synthesis(loss_list, eta=0.03, beta1=0.9, beta2=0.999, epsilon=1e-07, decay_rate=0.999)

   .. py:attribute:: loss_class


   .. py:attribute:: number_of_loss


   .. py:attribute:: nlog
      :value: 0



   .. py:attribute:: beta1
      :value: 0.9



   .. py:attribute:: beta2
      :value: 0.999



   .. py:attribute:: pbeta1
      :value: 0.9



   .. py:attribute:: pbeta2
      :value: 0.999



   .. py:attribute:: epsilon
      :value: 1e-07



   .. py:attribute:: eta
      :value: 0.03



   .. py:attribute:: history


   .. py:attribute:: curr_gpu
      :value: 0



   .. py:attribute:: event


   .. py:attribute:: operation


   .. py:attribute:: to_numpy


   .. py:attribute:: mpi_size


   .. py:attribute:: mpi_rank


   .. py:attribute:: KEEP_TRACK
      :value: None



   .. py:attribute:: MAXNUMLOSS


   .. py:method:: get_gpu(event, delay)


   .. py:method:: stop_synthesis()


   .. py:method:: getgpumem()


   .. py:method:: info_back(x)


   .. py:method:: calc_grad(in_x)


   .. py:method:: xtractmap(x, axis)


   .. py:method:: run(in_x, NUM_EPOCHS=100, DECAY_RATE=0.95, EVAL_FREQUENCY=100, DEVAL_STAT_FREQUENCY=1000, NUM_STEP_BIAS=1, LEARNING_RATE=0.03, EPSILON=1e-07, KEEP_TRACK=None, grd_mask=None, SHOWGPU=False, MESSAGE='', factr=10.0, batchsz=1, totalsz=1, do_lbfgs=True, idx_grd=None, axis=0)


   .. py:method:: get_history()