Python 属性错误：'；张量'；对象没有属性'_在"图形"模式下'；

我有一个错误：“Tensor”对象没有属性“\u在图模式中”。我已经调试了代码，我认为它在这个GradientTape函数中，但我不知道为什么。如果有人知道，请帮帮我！：）

其中grad_模型接受特定层的输入和输出。此外，opt_img和*images*是张量

     grads = tape.gradient(loss, [conv_inverted_outputs, conv_content_outputs])

     processed_grads = [g for g in grads]

     grads_and_vars = zip(processed_grads, [conv_inverted_outputs, conv_content_outputs])
     opt.apply_gradients(grads_and_vars)

我得到了这个错误

Traceback (most recent call last):
  File "/usr/local/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/local/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/home/helena/.vscode/extensions/ms-python.python-2020.2.64397/pythonFiles/lib/python/new_ptvsd/wheels/ptvsd/__main__.py", line 45, in <module>
    cli.main()
  File "/home/helena/.vscode/extensions/ms-python.python-2020.2.64397/pythonFiles/lib/python/new_ptvsd/wheels/ptvsd/../ptvsd/server/cli.py", line 361, in main
    run()
  File "/home/helena/.vscode/extensions/ms-python.python-2020.2.64397/pythonFiles/lib/python/new_ptvsd/wheels/ptvsd/../ptvsd/server/cli.py", line 203, in run_file
    runpy.run_path(options.target, run_name="__main__")
  File "/usr/local/lib/python3.7/runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "/usr/local/lib/python3.7/runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "/usr/local/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/home/helena/Documents/LAR_Celesc/lar-computer-vision/objdet-api/test_inverted_image.py", line 20, in <module>
    data, model, class_index=tabby_cat_class_index, layer_name="block5_conv3"
  File "/home/helena/Documents/LAR_Celesc/lar-computer-vision/objdet-api/tf_explain/core/inverted_image.py", line 54, in explain
    images, model, class_index, layer_name
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 568, in __call__
    result = self._call(*args, **kwds)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 615, in _call
    self._initialize(args, kwds, add_initializers_to=initializers)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 497, in _initialize
    *args, **kwds))
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2389, in _get_concrete_function_internal_garbage_collected
    graph_function, _, _ = self._maybe_define_function(args, kwargs)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2703, in _maybe_define_function
    graph_function = self._create_graph_function(args, kwargs)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2593, in _create_graph_function
    capture_by_value=self._capture_by_value),
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/framework/func_graph.py", line 978, in func_graph_from_py_func
    func_outputs = python_func(*func_args, **func_kwargs)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 439, in wrapped_fn
    return weak_wrapped_fn().__wrapped__(*args, **kwds)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/framework/func_graph.py", line 968, in wrapper
    raise e.ag_error_metadata.to_exception(e)
AttributeError: in converted code:

    /home/helena/Documents/LAR_Celesc/lar-computer-vision/objdet-api/tf_explain/core/inverted_image.py:125 get_optimize_image  *
        opt.apply_gradients(grads_and_vars)
    /home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/keras/optimizer_v2/optimizer_v2.py:434 apply_gradients
        self._create_slots(var_list)
    /home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/keras/optimizer_v2/gradient_descent.py:100 _create_slots
        self.add_slot(var, "momentum")
    /home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/keras/optimizer_v2/optimizer_v2.py:574 add_slot
        var_key = _var_key(var)
    /home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/keras/optimizer_v2/optimizer_v2.py:1065 _var_key
        if var._in_graph_mode:

    AttributeError: 'Tensor' object has no attribute '_in_graph_mode'

回溯（最近一次呼叫最后一次）：
文件“/usr/local/lib/python3.7/runpy.py”，第193行，在“运行”模块中作为“主”
“\uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu
文件“/usr/local/lib/python3.7/runpy.py”，第85行，在运行代码中
exec（代码、运行\全局）
文件“/home/helena/.vscode/extensions/ms python.python-2020.2.64397/pythonFiles/lib/python/new_ptvsd/wheels/ptvsd/____.py”，中第45行
cli.main（）
文件“/home/helena/.vscode/extensions/ms python.python-2020.2.64397/pythonFiles/lib/python/new_ptvsd/wheels/ptvsd/。/ptvsd/server/cli.py”，主文件第361行
运行（）
文件“/home/helena/.vscode/extensions/ms python.python-2020.2.64397/pythonFiles/lib/python/new_ptvsd/wheels/ptvsd/。/ptvsd/server/cli.py”，第203行，在run_文件中
runpy.run\u路径（options.target，run\u name=“\uuuuuu main\uuuuu”）
文件“/usr/local/lib/python3.7/runpy.py”，第263行，在运行路径中
pkg_name=pkg_name，script_name=fname）
文件“/usr/local/lib/python3.7/runpy.py”，运行模块代码第96行
模块名称、模块规格、组件名称、脚本名称）
文件“/usr/local/lib/python3.7/runpy.py”，第85行，在运行代码中
exec（代码、运行\全局）
文件“/home/helena/Documents/LAR_Celesc/LAR computer vision/objdetapi/test_inversed_image.py”，第20行，在
数据、模型、类别索引=选项卡、类别索引、图层名称=“block5\u conv3”
文件“/home/helena/Documents/LAR_Celesc/LAR computer vision/objdet api/tf_explain/core/inversed_image.py”，解释中第54行
图像、模型、类索引、层名称
文件“/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site packages/tensorflow_core/python/eager/def_function.py”，第568行，在调用中__
结果=自身调用（*args，**kwds）
文件“/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site packages/tensorflow_core/python/eager/def_function.py”，第615行，在调用中
self.\u初始化（参数、KWD、添加初始值设定项到=初始值设定项）
文件“/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site packages/tensorflow_core/python/eager/def_function.py”，第497行，在
*args，**科威特第纳尔）
文件“/home/helena/Documents/LAR_-Celesc/larenv/lib/python3.7/site-packages/tensorflow\u-core/python/eager/function.py”，第2389行，位于“获取具体的”函数“内部垃圾”收集中
图函数，自我，可能定义函数（args，kwargs）
文件“/home/helena/Documents/LAR_-Celesc/larenv/lib/python3.7/site-packages/tensorflow_-core/python/eager/function.py”，第2703行，在定义函数中
graph\u function=self.\u create\u graph\u function（args，kwargs）
文件“/home/helena/Documents/LAR_-Celesc/larenv/lib/python3.7/site-packages/tensorflow_-core/python/eager/function.py”，第2593行，在创建图函数中
按值捕获=自身。_按值捕获），
文件“/home/helena/Documents/LAR_-Celesc/larenv/lib/python3.7/site-packages/tensorflow_-core/python/framework/func_-graph.py”，第978行，在函数图中
func_outputs=python_func（*func_args，**func_kwargs）
文件“/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site packages/tensorflow_core/python/eager/def_function.py”，第439行，包装为
返回弱_-wrapped_-fn（）
文件“/home/helena/Documents/LAR_-Celesc/larenv/lib/python3.7/site-packages/tensorflow_-core/python/framework/func_-graph.py”，第968行，在包装器中
将e.ag\u错误\u元数据引发到\u异常（e）
AttributeError:在转换的代码中：
/home/helena/Documents/LAR_Celesc/LAR computer vision/objdetapi/tf_explain/core/inversed_image.py:125获取优化图像*
选择应用梯度（梯度和变量）
/home/helena/Documents/LAR_-Celesc/larenv/lib/python3.7/site packages/tensorflow\u core/python/keras/optimizer\u v2/optimizer\u v2.py:434应用梯度
自创建插槽（变量列表）
/home/helena/Documents/LAR_-Celesc/larenv/lib/python3.7/site-packages/tensorflow\u-core/python/keras/optimizer\u v2/gradient\u-dence.py:100个创建槽
自我添加（变量，“动量”）
/home/helena/Documents/LAR_-Celesc/larenv/lib/python3.7/site packages/tensorflow\u core/python/keras/optimizer\u v2/optimizer\u v2.py:574 add\u slot
var\u key=\u var\u key（var）
/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site packages/tensorflow\u core/python/keras/optimizer\u v2/optimizer\u v2.py:1065\u var\u key
如果变量处于图形模式：
AttributeError:“Tensor”对象在图形模式下没有属性“\u”

---

''

我刚刚遇到了类似的问题（相同的跟踪）并找到了解决方案，希望对您的情况也有帮助

检查：

conv_inverted_outputs, conv_content_outputs

属于tf.Variable类型，而不是tf.Tensor类型

如果其中任何一个是tf.张量，你就会得到这个错误

Traceback (most recent call last):
  File "/usr/local/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/local/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/home/helena/.vscode/extensions/ms-python.python-2020.2.64397/pythonFiles/lib/python/new_ptvsd/wheels/ptvsd/__main__.py", line 45, in <module>
    cli.main()
  File "/home/helena/.vscode/extensions/ms-python.python-2020.2.64397/pythonFiles/lib/python/new_ptvsd/wheels/ptvsd/../ptvsd/server/cli.py", line 361, in main
    run()
  File "/home/helena/.vscode/extensions/ms-python.python-2020.2.64397/pythonFiles/lib/python/new_ptvsd/wheels/ptvsd/../ptvsd/server/cli.py", line 203, in run_file
    runpy.run_path(options.target, run_name="__main__")
  File "/usr/local/lib/python3.7/runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "/usr/local/lib/python3.7/runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "/usr/local/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/home/helena/Documents/LAR_Celesc/lar-computer-vision/objdet-api/test_inverted_image.py", line 20, in <module>
    data, model, class_index=tabby_cat_class_index, layer_name="block5_conv3"
  File "/home/helena/Documents/LAR_Celesc/lar-computer-vision/objdet-api/tf_explain/core/inverted_image.py", line 54, in explain
    images, model, class_index, layer_name
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 568, in __call__
    result = self._call(*args, **kwds)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 615, in _call
    self._initialize(args, kwds, add_initializers_to=initializers)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 497, in _initialize
    *args, **kwds))
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2389, in _get_concrete_function_internal_garbage_collected
    graph_function, _, _ = self._maybe_define_function(args, kwargs)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2703, in _maybe_define_function
    graph_function = self._create_graph_function(args, kwargs)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2593, in _create_graph_function
    capture_by_value=self._capture_by_value),
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/framework/func_graph.py", line 978, in func_graph_from_py_func
    func_outputs = python_func(*func_args, **func_kwargs)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 439, in wrapped_fn
    return weak_wrapped_fn().__wrapped__(*args, **kwds)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/framework/func_graph.py", line 968, in wrapper
    raise e.ag_error_metadata.to_exception(e)
AttributeError: in converted code:

    /home/helena/Documents/LAR_Celesc/lar-computer-vision/objdet-api/tf_explain/core/inverted_image.py:125 get_optimize_image  *
        opt.apply_gradients(grads_and_vars)
    /home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/keras/optimizer_v2/optimizer_v2.py:434 apply_gradients
        self._create_slots(var_list)
    /home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/keras/optimizer_v2/gradient_descent.py:100 _create_slots
        self.add_slot(var, "momentum")
    /home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/keras/optimizer_v2/optimizer_v2.py:574 add_slot
        var_key = _var_key(var)
    /home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/keras/optimizer_v2/optimizer_v2.py:1065 _var_key
        if var._in_graph_mode:

    AttributeError: 'Tensor' object has no attribute '_in_graph_mode'

我看不到足够的代码来提供精确的修复，但在我的例子中，我是通过以下方式生成权重的：

weights = tf.random.normal((784, 10))

改为：

weights = tf.Variable(tf.random.normal((784, 10)))

---

解决了这个问题。

我刚刚遇到了类似的问题（相同的跟踪），并找到了一个解决方案，希望对您的情况也有帮助

检查：

conv_inverted_outputs, conv_content_outputs

属于tf.Variable类型，而不是tf.Tensor类型

如果其中任何一个是tf.张量，你就会得到这个错误

Traceback (most recent call last):
  File "/usr/local/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/local/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/home/helena/.vscode/extensions/ms-python.python-2020.2.64397/pythonFiles/lib/python/new_ptvsd/wheels/ptvsd/__main__.py", line 45, in <module>
    cli.main()
  File "/home/helena/.vscode/extensions/ms-python.python-2020.2.64397/pythonFiles/lib/python/new_ptvsd/wheels/ptvsd/../ptvsd/server/cli.py", line 361, in main
    run()
  File "/home/helena/.vscode/extensions/ms-python.python-2020.2.64397/pythonFiles/lib/python/new_ptvsd/wheels/ptvsd/../ptvsd/server/cli.py", line 203, in run_file
    runpy.run_path(options.target, run_name="__main__")
  File "/usr/local/lib/python3.7/runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "/usr/local/lib/python3.7/runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "/usr/local/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/home/helena/Documents/LAR_Celesc/lar-computer-vision/objdet-api/test_inverted_image.py", line 20, in <module>
    data, model, class_index=tabby_cat_class_index, layer_name="block5_conv3"
  File "/home/helena/Documents/LAR_Celesc/lar-computer-vision/objdet-api/tf_explain/core/inverted_image.py", line 54, in explain
    images, model, class_index, layer_name
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 568, in __call__
    result = self._call(*args, **kwds)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 615, in _call
    self._initialize(args, kwds, add_initializers_to=initializers)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 497, in _initialize
    *args, **kwds))
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2389, in _get_concrete_function_internal_garbage_collected
    graph_function, _, _ = self._maybe_define_function(args, kwargs)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2703, in _maybe_define_function
    graph_function = self._create_graph_function(args, kwargs)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2593, in _create_graph_function
    capture_by_value=self._capture_by_value),
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/framework/func_graph.py", line 978, in func_graph_from_py_func
    func_outputs = python_func(*func_args, **func_kwargs)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 439, in wrapped_fn
    return weak_wrapped_fn().__wrapped__(*args, **kwds)
  File "/home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/framework/func_graph.py", line 968, in wrapper
    raise e.ag_error_metadata.to_exception(e)
AttributeError: in converted code:

    /home/helena/Documents/LAR_Celesc/lar-computer-vision/objdet-api/tf_explain/core/inverted_image.py:125 get_optimize_image  *
        opt.apply_gradients(grads_and_vars)
    /home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/keras/optimizer_v2/optimizer_v2.py:434 apply_gradients
        self._create_slots(var_list)
    /home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/keras/optimizer_v2/gradient_descent.py:100 _create_slots
        self.add_slot(var, "momentum")
    /home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/keras/optimizer_v2/optimizer_v2.py:574 add_slot
        var_key = _var_key(var)
    /home/helena/Documents/LAR_Celesc/larenv/lib/python3.7/site-packages/tensorflow_core/python/keras/optimizer_v2/optimizer_v2.py:1065 _var_key
        if var._in_graph_mode:

    AttributeError: 'Tensor' object has no attribute '_in_graph_mode'

我看不到足够的代码来提供精确的修复，但在我的例子中，我是通过以下方式生成权重的：

weights = tf.random.normal((784, 10))

改为：

weights = tf.Variable(tf.random.normal((784, 10)))

---

已修复此问题。

Hi@Stanislav，谢谢！我替换了列表：conv_inversed_outputs，conv_content_outputs，用于tape.gradient内的可训练变量。以下是完整的代码：。代码运行了，但没有正常运行。我想这是在应用梯度，有什么想法吗？嗨@Stanislav，谢谢！我替换了列表：conv_inversed_outputs，conv_content_outputs，用于tape.gradient内的可训练变量。以下是完整的代码：。代码运行时，