foscat.heal_NN

Classes

CNN
GCNN

Module Contents

class foscat.heal_NN.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')

mpi_size = 1

mpi_rank = 0

BACKEND = 'tensorflow'

gpupos

ngpu = 1

gpulist

save(filename)

get_number_of_weights()

set_weights(x)

get_weights()

init_wave()

calc_matrix_first_layer(noise_map)

eval(in_im, indices=None, weights=None, out_map=False, first_layer_rot=None, activation='relu')

class foscat.heal_NN.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')

mpi_size = 1

mpi_rank = 0

BACKEND = 'tensorflow'

gpupos

ngpu = 1

gpulist

save(filename)

get_number_of_weights()

set_weights(x)

get_weights()

eval(im, indices=None, weights=None)