python - 使 tensorflow 模型中的一个输入保持不变

Question

我有以下问题:
我使用 deepchem 创建了一个模型，这是一个包装好的 keras 模型，对其进行了训练并重新加载了它。我可以毫无问题地预测使用这个模型。
现在我想制作这个模型的副本，它少了一个输入，因为在我的使用场景中一个输入总是不变的，并且总是传递它会导致我无法编辑的函数中的错误。

data = np.array(data.data, dtype=float32)
    with tf.Graph().as_default() as temp_graph:
        tf.import_graph_def(self.model.session.graph.as_graph_def(),
                            input_map={self.model._input_placeholders[1].name: 
                                       tf.constant(np.array([0], dtype=float32)),})
    #self.model.session.graph = temp_graph
    #for deep explainer: replace all switched dropouts with dropouts 
    #get input tensor for this graph 
    tensors = tf.contrib.graph_editor.get_tensors(temp_graph)
    for t in tensors:
        if "input_1" in t.name:
            input_tensor = t
            break
    #reshape output --> only singletask!
    output = tf.reshape(tensors[-1], [-1, 1])
    model = (input_tensor, output)
    sess = tf.Session(graph=temp_graph)
    feed_dict = dict(zip([input_tensor], [data]))
    print(sess.run(output, feed_dict))

在这段代码片段中，我能够加载模型的图形并将常量传递到其输入中。现在显然我不能在同一个 session 中运行这个新模型，因为那个 session 包含旧模型。无法更改使用 feed dict 运行模型的方式，因为它在实际场景中位于另一个包中。我收到以下错误消息:

Error while reading resource variable dense_2/bias from Container: localhost. This could mean that the variable was uninitialized. Not found: Container localhost does not exist.

完整的跟踪是:

Traceback (most recent call last):
  File "/EXT/Tobha/.conda/envs/test_BA_Tobias_std_deepchem-2-3-0_py36_20200114/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1356, in _do_call
    return fn(*args)
  File "/EXT/Tobha/.conda/envs/test_BA_Tobias_std_deepchem-2-3-0_py36_20200114/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1341, in _run_fn
    options, feed_dict, fetch_list, target_list, run_metadata)
  File "/EXT/Tobha/.conda/envs/test_BA_Tobias_std_deepchem-2-3-0_py36_20200114/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1429, in _call_tf_sessionrun
    run_metadata)
tensorflow.python.framework.errors_impl.FailedPreconditionError: Error while reading resource variable dense_2/bias from Container: localhost. This could mean that the variable was uninitialized. Not found: Container localhost does not exist. (Could not find resource: localhost/dense_2/bias)
     [[{{node import/model/dense_2/BiasAdd/ReadVariableOp}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/EXT/Tobha/eclipse-workspace/Bachelorarbeit/toolbox_dc_2_3_0/python_source/Models.py", line 490, in <module>
    main()
  File "/EXT/Tobha/eclipse-workspace/Bachelorarbeit/toolbox_dc_2_3_0/python_source/Models.py", line 478, in main
    evaluate()
  File "/EXT/Tobha/eclipse-workspace/Bachelorarbeit/toolbox_dc_2_3_0/python_source/Models.py", line 445, in evaluate
    reader.explain()
  File "/EXT/Tobha/eclipse-workspace/Bachelorarbeit/toolbox_dc_2_3_0/python_source/DataHandling.py", line 1534, in explain
    self.explain()
  File "/EXT/Tobha/eclipse-workspace/Bachelorarbeit/toolbox_dc_2_3_0/python_source/DataHandling.py", line 1519, in explain
    self._explain_Gradient_SHAP(self.df)
  File "/EXT/Tobha/eclipse-workspace/Bachelorarbeit/toolbox_dc_2_3_0/python_source/DataHandling.py", line 2047, in _explain_Gradient_SHAP
    print(sess.run(output, feed_dict))
  File "/EXT/Tobha/.conda/envs/test_BA_Tobias_std_deepchem-2-3-0_py36_20200114/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 950, in run
    run_metadata_ptr)
  File "/EXT/Tobha/.conda/envs/test_BA_Tobias_std_deepchem-2-3-0_py36_20200114/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1173, in _run
    feed_dict_tensor, options, run_metadata)
  File "/EXT/Tobha/.conda/envs/test_BA_Tobias_std_deepchem-2-3-0_py36_20200114/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1350, in _do_run
    run_metadata)
  File "/EXT/Tobha/.conda/envs/test_BA_Tobias_std_deepchem-2-3-0_py36_20200114/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1370, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.FailedPreconditionError: Error while reading resource variable dense_2/bias from Container: localhost. This could mean that the variable was uninitialized. Not found: Container localhost does not exist. (Could not find resource: localhost/dense_2/bias)
     [[node import/model/dense_2/BiasAdd/ReadVariableOp (defined at /eclipse-workspace/Bachelorarbeit/toolbox_dc_2_3_0/python_source/DataHandling.py:2033) ]]

Original stack trace for 'import/model/dense_2/BiasAdd/ReadVariableOp':
  File "/eclipse-workspace/Bachelorarbeit/toolbox_dc_2_3_0/python_source/Models.py", line 490, in <module>
    main()
  File "/eclipse-workspace/Bachelorarbeit/toolbox_dc_2_3_0/python_source/Models.py", line 478, in main
    evaluate()
  File "/eclipse-workspace/Bachelorarbeit/toolbox_dc_2_3_0/python_source/Models.py", line 445, in evaluate
    reader.explain()
  File "/eclipse-workspace/Bachelorarbeit/toolbox_dc_2_3_0/python_source/DataHandling.py", line 1534, in explain
    self.explain()
  File "/eclipse-workspace/Bachelorarbeit/toolbox_dc_2_3_0/python_source/DataHandling.py", line 1519, in explain
    self._explain_Gradient_SHAP(self.df)
  File "/eclipse-workspace/Bachelorarbeit/toolbox_dc_2_3_0/python_source/DataHandling.py", line 2033, in _explain_Gradient_SHAP
    tf.constant(np.array([0], dtype=float32)),})
  File "/.conda/envs/test_BA_Tobias_std_deepchem-2-3-0_py36_20200114/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
    return func(*args, **kwargs)
  File "/.conda/envs/test_BA_Tobias_std_deepchem-2-3-0_py36_20200114/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 443, in import_graph_def
    _ProcessNewOps(graph)
  File "/.conda/envs/test_BA_Tobias_std_deepchem-2-3-0_py36_20200114/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 236, in _ProcessNewOps
    for new_op in graph._add_new_tf_operations(compute_devices=False):  # pylint: disable=protected-access
  File "/.conda/envs/test_BA_Tobias_std_deepchem-2-3-0_py36_20200114/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3751, in _add_new_tf_operations
    for c_op in c_api_util.new_tf_operations(self)
  File "/.conda/envs/test_BA_Tobias_std_deepchem-2-3-0_py36_20200114/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3751, in <listcomp>
    for c_op in c_api_util.new_tf_operations(self)
  File "/.conda/envs/test_BA_Tobias_std_deepchem-2-3-0_py36_20200114/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3641, in _create_op_from_tf_operation
    ret = Operation(c_op, self)
  File "/.conda/envs/test_BA_Tobias_std_deepchem-2-3-0_py36_20200114/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2005, in __init__
    self._traceback = tf_stack.extract_stack()

我正在使用 tensorflow 1.14 和 Python 3.6(这也不能改变)
所以我的问题可以通过两种不同的方式解决:要么我用旧 session 中的信息运行第二个图形，要么告诉旧 session 使用一个常量输入。
提前感谢您的任何帮助!
此致
托比亚斯
编辑:
我最终通过包装我试图使用的类并覆盖一些方法来解决这个问题。我认为另一个想法可能是，用 keras 常量替换一个 Keras 输入。

Answer 1

这个错误有点棘手。以下是一些浮现在脑海中的建议:

DeepChem HEAD 现在在 TensorFlow 2.X 上运行。如果您的问题在 Eager 模式下更容易处理，那可能是一种选择。当然，HEAD 不稳定，可能还会出现其他问题。

DeepChem 模型位于由 Keras 层组成的引擎盖之下。如果您可以从模型的组成层制作 Keras 模型，那么您可能可以避免使用 DeepChem 包装器并直接在 Keras 中解决问题。

添加有关您尝试使用的 DeepChem 模型和您看到错误的下游函数的更多信息也可能有所帮助。