(self, name, shape=None, constval=.001)

(self, name, shape=None, mean=0., stddev=.001, gain=np.sqrt(2))

(self, name, shape=None, mean=0., stddev=.001, gain=np.sqrt(2))

(self, x, train_phase, name, reuse_vars)

(self, x, W, stride=1, padding='SAME')

(self, x, train_phase, name, reuse_vars)

(self, x, W, stride=1, padding='SAME')

(self, img_enc)

(self, name, shape=None, constval=.001)

(self, scope, bn_is_training, inp_greylevel, z1_sample, reuse=False)

(self, scope, gfeat32, gfeat16, gfeat8, gfeat4, bn_is_training, inp_greylevel,\ z1_sample, reuse=False)

(self, sess, chkptdir)

(self)

(self, net_op, gt, epoch, itr_id, prefix, batch_size, num_cols=8, net_recon_const=None)

(self, batch_size, nch)

(self, scope, input_tensor, bn_is_training, keep_prob, in_nch=1, reuse=False)

(self, scope, input_tensor, bn_is_training, keep_prob, in_nch=1, reuse=False)

(self, scope, input_tensor, bn_is_training, keep_prob, in_nch=2, reuse=False)

(self, in_tensor2d, shape=None)

(lf, input_tensor, bn_is_training, keep_prob, reuse=False)

(lf, input_tensor, bn_is_training, keep_prob, reuse=False)

(gt_tensor, op_tensor_activ, summ=False)

(gt_tensor, op_tensor_activ, summ=False)

(self)

(self, chkptdir, latentvars, num_batches=3, topk=8)

(self, epoch, sess, num_batches=3, is_train=False)

(self, net_op, gt, epoch, itr_id, prefix, batch_size, imgname, num_cols=8, net_recon_const=None)

(self, net_op, batch_size, num_cols=8, net_recon_const=None)

(self, batch_size)

(self, batch_size, nch)

(self)

(self, img_vec)

(self, epoch, sess, chkptdir, prefix='model')

(out_fc)

(out_fc)

(self, inp_img, inp_greylevel, inp_latent, is_training, keep_prob)

(self)

(saver, sess, chkptdir)

(saver, sess, chkptdir)

(self, target_tensor, op_tensor, mean, stddev, kl_weight, lossweights, epsilon=1e-6)

()

()

()

()

(loss, lr)

(loss, lr)

(self, loss, epsilon)

(self)

(self)

(self, chkptdir, latentvars, num_batches=3, num_repeat=8, num_cluster=5)

(self, epoch, sess)

(saver, epoch, sess, chkptdir, prefix='model')

(data_dir)

(self, batch_size)

(self, chkptdir, is_train=True)

(self, model, data_loader, nch, flags)

(self, flags, nch=2, condinference_flag=False)

(self)

(self, flags, nch=2, condinference_flag=False)

(self, data_directory, out_directory, listdir=None, shape=(64, 64), \ subdir=False, ext='JPEG', outsha

(self)

(self, list_train_fn, list_test_fn, lv_train_fn, lv_test_fn, \ featshape=(512, 28, 28))

(self, inp_img, inp_greylevel, inp_latent, is_training, keep_prob)

(self)

(self, target_tensor, op_tensor, mean, stddev, kl_weight, lossweights, epsilon=1e-6, \ is_regression=True)

(self, x, leak=.2)

(self, loss, epsilon)

(saver, epoch, sess, chkptdir, prefix='model')