无法使用tf.train.Saver恢复我的模型中的变量

Question

我的电脑的某些信息： 系统：Windows 10. IDE：Spyder3（Anaconda/python3.5.2）。 TensorFlow版本：R1.1（CPU）

下面是我的问题：

后我训练我的CNN模型（training.py）。我用tf.train.Saver保存模型变量。我想在另一个文件（testing.py）中恢复它们以测试测试数据集。我已经尝试了很多次，但alwaws未能恢复变量。例如，我尝试了例如（两种文件：save.py和restore.py）：

import tensorflow as tf 
w1 = tf.Variable(tf.random_normal(shape=[2]), name='w1') 
w2 = tf.Variable(tf.random_normal(shape=[5]), name='w2') 
saver = tf.train.Saver() 
sess = tf.Session() 
sess.run(tf.global_variables_initializer()) 
print(sess.run(w1)) 
print(sess.run(w2)) 
saver.save(sess, "./model") 

import tensorflow as tf 
w1 = tf.Variable(tf.random_normal(shape=[2]), name='w1') 
w2 = tf.Variable(tf.random_normal(shape=[5]), name='w2') 
saver = tf.train.Saver() 
sess = tf.Session() 
saver.restore(sess, "./model") 
print(sess.run(w1)) 
print(sess.run(w2)) 

当我运行restore.py，它出错：

INFO:tensorflow:Restoring parameters from ./model 
Traceback (most recent call last): 

    File "<ipython-input-2-cb3aa43151bc>", line 1, in <module> 
    runfile('F:/tensorflow/saver_test/tensor_restore.py', wdir='F:/tensorflow/saver_test') 

    File "D:\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 866, in runfile 
    execfile(filename, namespace) 

    File "D:\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile 
    exec(compile(f.read(), filename, 'exec'), namespace) 

    File "F:/tensorflow/saver_test/tensor_restore.py", line 7, in <module> 
    saver.restore(sess, "./model") 

    File "D:\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py", line 1457, in restore 
    {self.saver_def.filename_tensor_name: save_path}) 

    File "D:\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 778, in run 
    run_metadata_ptr) 

    File "D:\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 982, in _run 
    feed_dict_string, options, run_metadata) 

    File "D:\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1032, in _do_run 
    target_list, options, run_metadata) 

    File "D:\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1052, in _do_call 
    raise type(e)(node_def, op, message) 

NotFoundError: Key w1_1 not found in checkpoint 
    [[Node: save_1/RestoreV2_1 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save_1/Const_0, save_1/RestoreV2_1/tensor_names, save_1/RestoreV2_1/shape_and_slices)]] 

Caused by op 'save_1/RestoreV2_1', defined at: 
    File "D:\Anaconda3\lib\site-packages\spyder\utils\ipython\start_kernel.py", line 223, in <module> 
    main() 
    File "D:\Anaconda3\lib\site-packages\spyder\utils\ipython\start_kernel.py", line 219, in main 
    kernel.start() 
    File "D:\Anaconda3\lib\site-packages\ipykernel\kernelapp.py", line 474, in start 
    ioloop.IOLoop.instance().start() 
    File "D:\Anaconda3\lib\site-packages\zmq\eventloop\ioloop.py", line 162, in start 
    super(ZMQIOLoop, self).start() 
    File "D:\Anaconda3\lib\site-packages\tornado\ioloop.py", line 887, in start 
    handler_func(fd_obj, events) 
    File "D:\Anaconda3\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper 
    return fn(*args, **kwargs) 
    File "D:\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 440, in _handle_events 
    self._handle_recv() 
    File "D:\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 472, in _handle_recv 
    self._run_callback(callback, msg) 
    File "D:\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 414, in _run_callback 
    callback(*args, **kwargs) 
    File "D:\Anaconda3\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper 
    return fn(*args, **kwargs) 
    File "D:\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 276, in dispatcher 
    return self.dispatch_shell(stream, msg) 
    File "D:\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 228, in dispatch_shell 
    handler(stream, idents, msg) 
    File "D:\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 390, in execute_request 
    user_expressions, allow_stdin) 
    File "D:\Anaconda3\lib\site-packages\ipykernel\ipkernel.py", line 196, in do_execute 
    res = shell.run_cell(code, store_history=store_history, silent=silent) 
    File "D:\Anaconda3\lib\site-packages\ipykernel\zmqshell.py", line 501, in run_cell 
    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs) 
    File "D:\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2717, in run_cell 
    interactivity=interactivity, compiler=compiler, result=result) 
    File "D:\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2827, in run_ast_nodes 
    if self.run_code(code, result): 
    File "D:\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2881, in run_code 
    exec(code_obj, self.user_global_ns, self.user_ns) 
    File "<ipython-input-2-cb3aa43151bc>", line 1, in <module> 
    runfile('F:/tensorflow/saver_test/tensor_restore.py', wdir='F:/tensorflow/saver_test') 
    File "D:\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 866, in runfile 
    execfile(filename, namespace) 
    File "D:\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile 
    exec(compile(f.read(), filename, 'exec'), namespace) 
    File "F:/tensorflow/saver_test/tensor_restore.py", line 5, in <module> 
    saver = tf.train.Saver() 
    File "D:\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py", line 1056, in __init__ 
    self.build() 
    File "D:\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py", line 1086, in build 
    restore_sequentially=self._restore_sequentially) 
    File "D:\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py", line 691, in build 
    restore_sequentially, reshape) 
    File "D:\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py", line 407, in _AddRestoreOps 
    tensors = self.restore_op(filename_tensor, saveable, preferred_shard) 
    File "D:\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py", line 247, in restore_op 
    [spec.tensor.dtype])[0]) 
    File "D:\Anaconda3\lib\site-packages\tensorflow\python\ops\gen_io_ops.py", line 669, in restore_v2 
    dtypes=dtypes, name=name) 
    File "D:\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 768, in apply_op 
    op_def=op_def) 
    File "D:\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 2336, in create_op 
    original_op=self._default_original_op, op_def=op_def) 
    File "D:\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1228, in __init__ 
    self._traceback = _extract_stack() 

NotFoundError (see above for traceback): Key w1_1 not found in checkpoint 
    [[Node: save_1/RestoreV2_1 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save_1/Const_0, save_1/RestoreV2_1/tensor_names, save_1/RestoreV2_1/shape_and_slices)]] 

我已经尝试了一些天来解决它，但失败了，我找不到任何错误，我的code.Anything建议？谢谢！！！

Answer 1

保存完您的训练模型后，您是否看到以.meta后缀命名的文件（或多个文件）？如果是这样，在恢复时，请勿通过调用：saver = tf.train.Saver（）来创建保存程序。相反，尝试通过调用tf.train.import_meta_graph（）方法来创建您的保护程序。

当您尝试从头开始创建图形时，很可能有一些变量的命名方式不同，因此保存的数据无法恢复。