def show_reconstructions(m, model_path):
 model = load_model(model_path, m)
 x = input('use test set? (y/n) ')
 dataset = load_dataset(model.dataset_yaml_src, x)
 vis_batch = dataset.get_batch_topo(m)
 pv = init_viewer(dataset, rows, cols, vis_batch)
 batch = model.visible_layer.space.make_theano_batch()
 reconstruction = model.reconstruct(batch)
 recons_func = function([batch], reconstruction)
 if hasattr(model.visible_layer, 'beta'):
  beta = model.visible_layer.beta.get_value()
  print('beta: ', (beta.min(), beta.mean(), beta.max()))
 while True:
  update_viewer(dataset, batch, rows, cols, pv, recons_func, vis_batch)
  pv.show()
  print('Displaying reconstructions. (q to quit, ENTER = show more)')
  while True:
   x = input()
   if (x == 'q'):
    quit()
   if (x == ''):
    x = 1
    break
   else:
    print('Invalid input, try again')
  vis_batch = dataset.get_batch_topo(m)

def show_reconstructions ( m , model_path ) : model = load_model ( model_path , m ) x = input ( 'use test set? (y/n) ' ) dataset = load_dataset ( model . dataset_yaml_src , x ) vis_batch = dataset . get_batch_topo ( m ) pv = init_viewer ( dataset , rows , cols , vis_batch ) batch = model . visible_layer . space . make_theano_batch ( ) reconstruction = model . reconstruct ( batch ) recons_func = function ( [ batch ] , reconstruction ) if hasattr ( model . visible_layer , 'beta' ) : beta = model . visible_layer . beta . get_value ( ) print ( 'beta: ' , ( beta . min ( ) , beta . mean ( ) , beta . max ( ) ) ) while True : update_viewer ( dataset , batch , rows , cols , pv , recons_func , vis_batch ) pv . show ( ) print ( 'Displaying reconstructions. (q to quit, ENTER = show more)' ) while True : x = input ( ) if ( x == 'q' ) : quit ( ) if ( x == '' ) : x = 1 break else : print ( 'Invalid input, try again' ) vis_batch = dataset . get_batch_topo ( m )
show reconstructions of a given dbm model .