import tensorflow as tf
import os

logdir='./checkpoint/'

from tensorflow.python import pywrap_tensorflow
# checkpoint_path = os.path.join(model_dir, "model.ckpt-9999")
ckpt = tf.train.get_checkpoint_state(logdir)
reader = pywrap_tensorflow.NewCheckpointReader(ckpt.model_checkpoint_path)
var_to_shape_map = reader.get_variable_to_shape_map()
for key in var_to_shape_map:
    print("tensor_name: ", key)
    #print(reader.get_tensor(key))

import tensorflow as tf
import os

logdir='./checkpoint/'

from tensorflow.python import pywrap_tensorflow
# checkpoint_path = os.path.join(model_dir, "model.ckpt-9999")
ckpt = tf.train.get_checkpoint_state(logdir)
reader = pywrap_tensorflow.NewCheckpointReader(ckpt.model_checkpoint_path)
var_to_shape_map = reader.get_variable_to_shape_map()
for key in var_to_shape_map:
    print("tensor_name: ", key)
    #print(reader.get_tensor(key))

# checkpoint_path = os.path.join(model_dir, "model.ckpt-9999") #print(reader.get_tensor(key))