Django整合Keras报错：ValueError: Tensor Tensor("Placeholder:0", shape=(3, 3, 1, 32), dtype=float32) is not an element of this graph.解决方法

本人在写Django RESful API时，碰到一个难题，老出现，整合Keras,报如下错误；很纠结，探索找资料近一个星期，皇天不负有心人，解决了

Internal Server Error: /pic/analysis/
Traceback (most recent call last):
  File "D:AIPython35libsite-packages	ensorflowpythonclientsession.py", line 1064, in _run
    allow_operation=False)
  File "D:AIPython35libsite-packages	ensorflowpythonframeworkops.py", line 3035, in as_graph_element
    return self._as_graph_element_locked(obj, allow_tensor, allow_operation)
  File "D:AIPython35libsite-packages	ensorflowpythonframeworkops.py", line 3114, in _as_graph_element_locked
    raise ValueError("Tensor %s is not an element of this graph." % obj)
ValueError: Tensor Tensor("Placeholder:0", shape=(3, 3, 1, 32), dtype=float32) is not an element of this graph.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "D:AIPython35libsite-packagesdjangocorehandlersexception.py", line 35, in inner
    response = get_response(request)
  File "D:AIPython35libsite-packagesdjangocorehandlersase.py", line 128, in _get_response
    response = self.process_exception_by_middleware(e, request)
  File "D:AIPython35libsite-packagesdjangocorehandlersase.py", line 126, in _get_response
    response = wrapped_callback(request, *callback_args, **callback_kwargs)
  File "D:AIPython35libsite-packagesdjango	estutils.py", line 371, in inner
    return func(*args, **kwargs)
  File "E:PyCharmWorkPythonWebAppApiPicDjangoSitePicWebviews.py", line 25, in picAnalysis
    predictBank(im, name)  #对图片进行预测，并返回预测结果
  File "E:PyCharmWorkPythonWebAppApiPicDjangoSitePicWebPreDictBankFunc.py", line 42, in predictBank
    model = load_model('staticCnnBankUp.h5', compile=False)
  File "D:AIPython35libsite-packageskerasmodels.py", line 243, in load_model
    topology.load_weights_from_hdf5_group(f['model_weights'], model.layers)
  File "D:AIPython35libsite-packageskerasengine	opology.py", line 3142, in load_weights_from_hdf5_group
    K.batch_set_value(weight_value_tuples)
  File "D:AIPython35libsite-packageskerasackend	ensorflow_backend.py", line 2247, in batch_set_value
    get_session().run(assign_ops, feed_dict=feed_dict)
  File "D:AIPython35libsite-packages	ensorflowpythonclientsession.py", line 889, in run
    run_metadata_ptr)
  File "D:AIPython35libsite-packages	ensorflowpythonclientsession.py", line 1067, in _run
    + e.args[0])
TypeError: Cannot interpret feed_dict key as Tensor: Tensor Tensor("Placeholder:0", shape=(3, 3, 1, 32), dtype=float32) is not an element of t
his graph.
[08/Jan/2018 08:53:15] "POST /pic/analysis/ HTTP/1.1" 500 159200

个人理解：在初始化Django时，把keras中 model先初始化，免得后面不断调用，产生莫名其妙的问题

Django初始化代码写在__init__.py中：

from keras.models import load_model
import numpy as np

#参考：https://zhuanlan.zhihu.com/p/27101000

print('load model...')
model = load_model('static\CnnBankUp.h5', compile=False)
print('load done.')

#一定要添加这段代码，先测试一下，可以避免ValueError: Tensor Tensor("Placeholder:0", shape=(3, 3, 1, 32), dtype=float32) 
#is not an element of this graph.的错误
print('test model...')
#根据自己传入图片格式定义np.zeros（）
print(model.predict(np.zeros((2, 200,200,1))))
print('test done.')


# 使用模型，在得到用户输入时会调用以下两个函数进行实时文本分类
# 输入参数 comment 为经过了分词与向量化处理后的模型输入
def picType_class(comment):
    global model
    result_vec=None
    result_vec = model.predict(comment)
    return result_vec

很有用的参考，非常感谢

参考：https://zhuanlan.zhihu.com/p/27101000