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:\AI\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1064, in _run

    allow_operation=False)

  File "D:\AI\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 3035, in as_graph_element

    return self._as_graph_element_locked(obj, allow_tensor, allow_operation)

  File "D:\AI\Python35\lib\site-packages\tensorflow\python\framework\ops.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:\AI\Python35\lib\site-packages\django\core\handlers\exception.py", line 35, in inner

    response = get_response(request)

  File "D:\AI\Python35\lib\site-packages\django\core\handlers\base.py", line 128, in _get_response

    response = self.process_exception_by_middleware(e, request)

  File "D:\AI\Python35\lib\site-packages\django\core\handlers\base.py", line 126, in _get_response

    response = wrapped_callback(request, *callback_args, **callback_kwargs)

  File "D:\AI\Python35\lib\site-packages\django\test\utils.py", line 371, in inner

    return func(*args, **kwargs)

  File "E:\PyCharmWork\PythonWebApp\ApiPicDjangoSite\PicWeb\views.py", line 25, in picAnalysis

    predictBank(im, name)  #对图片进行预测，并返回预测结果

  File "E:\PyCharmWork\PythonWebApp\ApiPicDjangoSite\PicWeb\PreDictBankFunc.py", line 42, in predictBank

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

  File "D:\AI\Python35\lib\site-packages\keras\models.py", line 243, in load_model

    topology.load_weights_from_hdf5_group(f['model_weights'], model.layers)

  File "D:\AI\Python35\lib\site-packages\keras\engine\topology.py", line 3142, in load_weights_from_hdf5_group

    K.batch_set_value(weight_value_tuples)

  File "D:\AI\Python35\lib\site-packages\keras\backend\tensorflow_backend.py", line 2247, in batch_set_value

    get_session().run(assign_ops, feed_dict=feed_dict)

  File "D:\AI\Python35\lib\site-packages\tensorflow\python\client\session.py", line 889, in run

    run_metadata_ptr)

  File "D:\AI\Python35\lib\site-packages\tensorflow\python\client\session.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