import tensorflow as tf
import tensorflow_probability as tfp
tfd = tfp.distributions

# Generate Particles
tf.random.set_random_seed(rand_seed)
np.random.RandomState(seed=rand_seed)

state = np.array(pf['state'])
state.shape = (num_st, )
mvn = tfd.MultivariateNormalFullCovariance(loc=state, covariance_matrix=pf['state_cov'])
particles = sess.run(mvn.sample(pf['Ns']))
pf['particles'] = particles.T
pf['weights'] = np.ones((pf['Ns'], 1))/pf['Ns']
pf['Neff'] = list()
pf['yVec'] = list()
pf['yLow'] = list()
pf['yHigh'] = list()
pf['conf_low'] = 0.15
pf['conf_high'] = 99.85
pf_particles_list = []