def __init__(self, sess, args, reader): op_base.__init__(self, args) self.sess = sess self.Reader = reader(args) self.CGAN_TYPE = 'classifier_w_cgan' # data self.data = mnist()
def __init__(self, args, sess): op_base.__init__(self, args) self.sess = sess self.sess_arg = tf.Session() self.summaries = [] self.vgg = VGG19() self.model_path = os.path.join('gan_result', 'gan_model') self.code_path = os.path.join('gan_result', 'gan_encoder_code') self.eval_path = os.path.join('gan_result', 'gan_eval')
def __init__(self, args, sess): op_base.__init__(self, args) self.sess = sess self.sess_arg = tf.Session() self.summaries = [] self.vgg = VGG19() self.model_path = os.path.join('imle_result', 'imle_model') self.eval_path = os.path.join('imle_result', 'imle_eval') if (not os.path.exists('imle_result')): os.mkdir('imle_result') os.mkdir('imle_result/imle_model') os.mkdir('imle_result/imle_eval')
def __init__(self, args, sess): op_base.__init__(self, args) self.sess = sess self.summaries = [] self.init_base_graph() self.init_index2txt()
def __init__(self, args): op_base.__init__(self, args)
def __init__(self, sess, args, reader): op_base.__init__(self, args) self.sess = sess self.Reader = reader(args)
def __init__(self, name, args): op_base.__init__(self, args) self.name = name self.reuse = False
def __init__(self, sess, args): self.sess = sess self.summaries = [] op_base.__init__(self, args)