def fast_run(args):
model = Model(args)
feed = {}
#feed[model.train_batch]=False
xx,ss,yy=model.inputs(args.input_path)
sess = tf.Session()
init = tf.global_variables_initializer()
sess.run(init)
tf.train.start_queue_runners(sess=sess)
xxx,sss,yyy=sess.run([xx,ss,yy])
#print(yyy)
#print(yyy[1])
print('len:',xxx.shape)
import matplotlib.cm as cm
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
plt.figure(figsize=(16,4))
#plt.imshow()
plt.imshow(np.asarray(xxx[0]).reshape((36,90))+0.5, interpolation='nearest', aspect='auto', cmap=cm.jet)
plt.savefig("img.jpg")
plt.clf() ; plt.cla()
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