i have a problem.

[GodEunhyuk]

i have a problem.
Can you help me?

======================================================
(j16134uk) EUNHYUKui-MacBook-Pro:sis eunhyulkim$ python server.py
Using TensorFlow backend.
WARNING:tensorflow:From /Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:74: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.

WARNING:tensorflow:From /Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

WARNING:tensorflow:From /Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.

WARNING:tensorflow:From /Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:3976: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.

WARNING:tensorflow:From /Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.

WARNING:tensorflow:From /Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:181: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

2019-11-13 14:56:28.253959: I tensorflow/core/platform/cpu_feature_guard.cc:145] This TensorFlow binary is optimized with Intel(R) MKL-DNN to use the following CPU instructions in performance critical operations: SSE4.1 SSE4.2 AVX AVX2 FMA
To enable them in non-MKL-DNN operations, rebuild TensorFlow with the appropriate compiler flags.
2019-11-13 14:56:28.254322: I tensorflow/core/common_runtime/process_util.cc:115] Creating new thread pool with default inter op setting: 4. Tune using inter_op_parallelism_threads for best performance.

• Serving Flask app "server" (lazy loading)
• Environment: production
  WARNING: This is a development server. Do not use it in a production deployment.
  Use a production WSGI server instead.
• Debug mode: off
• Running on http://0.0.0.0:5000/ (Press CTRL+C to quit)
  127.0.0.1 - - [13/Nov/2019 14:56:46] "GET / HTTP/1.1" 200 -
  [2019-11-13 14:56:52,113] ERROR in app: Exception on / [POST]
  Traceback (most recent call last):
  File "/Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/flask/app.py", line 2446, in wsgi_app
  response = self.full_dispatch_request()
  File "/Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/flask/app.py", line 1951, in full_dispatch_request
  rv = self.handle_user_exception(e)
  File "/Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/flask/app.py", line 1820, in handle_user_exception
  reraise(exc_type, exc_value, tb)
  File "/Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/flask/_compat.py", line 39, in reraise
  raise value
  File "/Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/flask/app.py", line 1949, in full_dispatch_request
  rv = self.dispatch_request()
  File "/Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/flask/app.py", line 1935, in dispatch_request
  return self.view_functionsrule.endpoint
  File "server.py", line 30, in index
  query = fe.extract(img)
  File "/Users/eunhyulkim/opt/anaconda3/envs/j16134uk/sis/feature_extractor.py", line 19, in extract
  feature = self.model.predict(x)[0] # (1, 4096) -> (4096, )
  File "/Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/keras/engine/training.py", line 1164, in predict
  self._make_predict_function()
  File "/Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/keras/engine/training.py", line 554, in _make_predict_function
  **kwargs)
  File "/Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2744, in function
  return Function(inputs, outputs, updates=updates, **kwargs)
  File "/Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2546, in init
  with tf.control_dependencies(self.outputs):
  File "/Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 5426, in control_dependencies
  return get_default_graph().control_dependencies(control_inputs)
  File "/Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 4867, in control_dependencies
  c = self.as_graph_element(c)
  File "/Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3796, in as_graph_element
  return self._as_graph_element_locked(obj, allow_tensor, allow_operation)
  File "/Users/eunhyulkim/opt/anaconda3/envs/j16134uk/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3875, in _as_graph_element_locked
  raise ValueError("Tensor %s is not an element of this graph." % obj)
  ValueError: Tensor Tensor("fc1/Relu:0", shape=(?, 4096), dtype=float32) is not an element of this graph.
  127.0.0.1 - - [13/Nov/2019 14:56:52] "POST / HTTP/1.1" 500 -

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[Yusuke Matsui]

Please clone the latest repository, update all packages, and run again. If there's still problems, let me know the version of (1) python, (2) tensorflow, and (3) keras,

[GodEunhyuk]

Respectfully,
Thank you so much for your kindreply.

Although the module was updated several times,
It didn't go well.
(1) Python 3.6.9 :: Anaconda, Inc.
(2) tensorflow

tensorflow 1.15.0 mkl_py36h4920b83_0
tensorflow-base 1.15.0 mkl_py36he1670d9_0
tensorflow-estimator 1.15.1 pyh2649769_0

(3) keras,
keras 2.2.4 0
keras-applications 1.0.8 py_0
keras-base 2.2.4 py36_0
keras-preprocessing 1.1.0 py_1

[Yusuke Matsui]

The version of your tensorflow and keras is not latest. You should update tensorflow to 2.x. Current latest version would be:

$ pip list | grep tensorflow
tensorflow             2.0.0              
tensorflow-estimator   2.0.1   

$ pip list | grep Keras
Keras                  2.3.1              
Keras-Applications     1.0.8              
Keras-Preprocessing    1.1.0