unit='linear',
init_W=init_W,
init_b=init_b)
prior_sig = FullyConnectedLayer(name='prior_sig',
parent=['prior_4'],
parent_dim=[p_z_dim],
nout=latent_size,
unit='softplus',
cons=1e-4,
init_W=init_W,
init_b=init_b_sig)
kl = PriorLayer(name='kl',
parent=['phi_mu', 'phi_sig', 'prior_mu', 'prior_sig'],
parent_dim=[latent_size, latent_size, latent_size, latent_size],
use_sample=0,
nout=latent_size)
theta_1 = FullyConnectedLayer(name='theta_1',
parent=['z_4', 's_tm1'],
parent_dim=[z2s_dim, main_lstm_dim],
nout=p_x_dim,
unit='relu',
init_W=init_W,
init_b=init_b)
theta_2 = FullyConnectedLayer(name='theta_2',
parent=['theta_1'],
parent_dim=[p_x_dim],
nout=p_x_dim,
unit='linear',
init_W=init_W,
init_b=init_b)
prior_sig = FullyConnectedLayer(name='prior_sig',
parent=['prior_4'],
parent_dim=[p_z_dim],
nout=latent_size,
unit='softplus',
cons=1e-4,
init_W=init_W,
init_b=init_b_sig)
kl = PriorLayer(name='kl',
parent=['phi_mu', 'phi_sig', 'prior_mu', 'prior_sig'],
parent_dim=[latent_size, latent_size, latent_size, latent_size],
use_sample=0,
nout=latent_size)
theta_1 = FullyConnectedLayer(name='theta_1',
parent=['z_4', 's_tm1'],
parent_dim=[z2s_dim, main_lstm_dim],
nout=p_x_dim,
unit='relu',
init_W=init_W,
init_b=init_b)
theta_2 = FullyConnectedLayer(name='theta_2',
parent=['theta_1'],
parent_dim=[p_x_dim],
nout=p_x_dim,
nout=latent_dim,
unit='linear',
init_W=init_W,
init_b=init_b)
phi_sig = FullyConnectedLayer(name='phi_sig',
parent=['enc'],
parent_dim=[256],
nout=latent_dim,
unit='softplus',
init_W=init_W,
init_b=init_b_sig)
prior = PriorLayer(name='prior',
parent=['phi_mu', 'phi_sig'],
parent_dim=[latent_dim, latent_dim],
use_sample=1,
nout=latent_dim)
kl = PriorLayer(name='kl',
parent=['phi_mu', 'phi_sig'],
parent_dim=[latent_dim, latent_dim],
use_sample=0,
nout=latent_dim)
dec = LSTM(name='dec',
parent=['prior'],
parent_dim=[latent_dim],
batch_size=batch_size,
nout=256,
unit='tanh',
