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我建立并保存了一个 TensorFlow 模型，然后我试图恢复这个模型并使用它。我使用的是旧方法，因为这段代码是用旧版本的 tensorflow 编写的（现在我使用的是 python 3.5 和 tensorflow 1.8.0）。

这是我保存模型的一段代码：

sess = tf.InteractiveSession()
..>
#build the computational graph and all the layers. for example, the 1st layer:
W_conv1 = weight_variable([first_conv_kernel_size, first_conv_kernel_size, 1, first_conv_output_channels]) # 5x5 patch, 1 input channel, 32 output channels (features)
b_conv1 = bias_variable([first_conv_output_channels])
x_image = tf.reshape(x, [-1,patch_size,patch_size,1]) # reshape x to a 4d tensor. 2,3 are the image dimensions, 4 is ine color channel
..<
sess.run(tf.initialize_all_variables())
..>
#some more code    
..<
# saving the model:
saver = tf.train.Saver()
save_path = saver.save(sess, main_code_folder + 'code_files/Tensor_Flow/version1/built_networks/10 - testing_the_train_function/model.ckpt')

这就是我恢复模型的方式：

# initial parameters + build layers for tensorboard visualisation. for example, layer 1:
with tf.name_scope('conv_layer1'):
    # build the first layer
    with tf.name_scope('weights'):
        W_conv1 = weight_variable([first_conv_kernel_size, first_conv_kernel_size, 1, first_conv_output_channels]) # 5x5 patch, 1 input channel, 32 output channels (features)
        variable_summaries(W_conv1)
    with tf.name_scope('biases'):
        b_conv1 = bias_variable([first_conv_output_channels])
        variable_summaries(b_conv1)

    x_image = tf.reshape(x, [-1, patch_size, patch_size, 1]) # reshape x to a 4d tensor. 2,3 are the image dimensions, 4 is ine color channel

    with tf.name_scope('Wx_plus_b'):
        Wx_plus_b=conv2d(x_image, W_conv1) + b_conv1
        variable_summaries(Wx_plus_b)

    # apply the layers
    h_conv1 = tf.nn.relu(Wx_plus_b)
...
saver = tf.train.Saver()
savepath = make_folder_name_Win_format(main_code_folder + 'code_files/Tensor_Flow/version1/built_networks/10 - testing_the_train_function/')
saver.restore(sess, save_path = savepath + '{}'.format(model_name))

当我运行此代码时，我遇到了以下错误：

tensorflow.python.framework.errors_impl.NotFoundError: Key conv_layer1/biases/Variable not found in checkpoint

我看到一些类似的问题已经解决并尝试了解决方案。没有人工作。两个代码中的目录名称是相同的（据我所知，你能告诉我如何确认吗？），并且模型被正确保存（相同的注释）。

我将非常感谢您的帮助！谢谢！！

完整的错误日志如下：

2018-06-30 00:53:02.524332: W T:\src\github\tensorflow\tensorflow\core\framework\op_kernel.cc:1318] OP_REQUIRES failed at save_restore_v2_ops.cc:184 : Not found: Key conv_layer1/biases/Variable not found in checkpoint
Traceback (most recent call last):
  File "C:\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1322, in _do_call
    return fn(*args)
  File "C:\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1307, in _run_fn
    options, feed_dict, fetch_list, target_list, run_metadata)
  File "C:\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1409, in _call_tf_sessionrun
    run_metadata)
tensorflow.python.framework.errors_impl.NotFoundError: Key conv_layer1/biases/Variable not found in checkpoint
     [[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]
     [[Node: save/RestoreV2/_7 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_12_save/RestoreV2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:/Users/Roi/Desktop/Code_Win_Ver/code_files/Tensor_Flow/version1/find_labels_for_db.py", line 252, in <module>
    saver.restore(sess, save_path = savepath + '{}'.format(model_name))
  File "C:\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 1802, in restore
    {self.saver_def.filename_tensor_name: save_path})
  File "C:\Python35\lib\site-packages\tensorflow\python\client\session.py", line 900, in run
    run_metadata_ptr)
  File "C:\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1135, in _run
    feed_dict_tensor, options, run_metadata)
  File "C:\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1316, in _do_run
    run_metadata)
  File "C:\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1335, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.NotFoundError: Key conv_layer1/biases/Variable not found in checkpoint
     [[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]
     [[Node: save/RestoreV2/_7 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_12_save/RestoreV2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]]

Caused by op 'save/RestoreV2', defined at:
  File "C:/Users/Roi/Desktop/Code_Win_Ver/code_files/Tensor_Flow/version1/find_labels_for_db.py", line 247, in <module>
    saver = tf.train.Saver()
  File "C:\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 1338, in __init__
    self.build()
  File "C:\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 1347, in build
    self._build(self._filename, build_save=True, build_restore=True)
  File "C:\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 1384, in _build
    build_save=build_save, build_restore=build_restore)
  File "C:\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 835, in _build_internal
    restore_sequentially, reshape)
  File "C:\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 472, in _AddRestoreOps
    restore_sequentially)
  File "C:\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 886, in bulk_restore
    return io_ops.restore_v2(filename_tensor, names, slices, dtypes)
  File "C:\Python35\lib\site-packages\tensorflow\python\ops\gen_io_ops.py", line 1546, in restore_v2
    shape_and_slices=shape_and_slices, dtypes=dtypes, name=name)
  File "C:\Python35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
    op_def=op_def)
  File "C:\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 3392, in create_op
    op_def=op_def)
  File "C:\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 1718, in __init__
    self._traceback = self._graph._extract_stack()  # pylint: disable=protected-access

NotFoundError (see above for traceback): Key conv_layer1/biases/Variable not found in checkpoint
     [[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]
     [[Node: save/RestoreV2/_7 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_12_save/RestoreV2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]]


Process finished with exit code 1
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1 回答 1

1

因此发生错误，因为您的检查点中不存在变量。要解决此问题，请在创建相应变量之前调用您的保护程序。

saver = tf.train.Saver()
conv_layer1 = ...

saver.restore(path=...)

现在，如果您在训练后调用 save或任何您可以调用 save 的方法。所有新添加的变量，例如 conv_layer1/biases/Variable 和已经存在的变量都将被添加到这个检查点。

之后，您应该重新排列代码，以便在这些变量之后调用保护程序，这会导致问题，例如：

conv_layer1 = ...
saver = tf.train.Saver()

saver.restore(path=...)
于 2018-06-29T22:09:13.923 回答