in mnist-vscode-docs-sample/score.py [0:0]
def init():
global X, output, sess
tf.reset_default_graph()
# retreive the local path to the model using the model name
model_root = Model.get_model_path('MNIST-TensorFlow-model')
saver = tf.train.import_meta_graph(os.path.join(model_root, 'mnist-tf.model.meta'))
X = tf.get_default_graph().get_tensor_by_name("network/X:0")
output = tf.get_default_graph().get_tensor_by_name("network/output/MatMul:0")
sess = tf.Session()
saver.restore(sess, os.path.join(model_root, 'mnist-tf.model'))