import tensorflow as tf

'''
def gaussian_pdf(mean, loc_std, sample):
	Z = 1.0 / (loc_std * tf.sqrt(2.0 * np.pi))
	a = - tf.square(sample - mean) / (2.0 * tf.square(loc_std))
	return Z * tf.exp(a)

class ACNet:
	def __init__(self, scope, GRID_SIZE, a_size, trainer,TRAINING, GLOBAL_NET_SCOPE):
