'thread._local' object has no attribute 'value' error

[ycdaskin]

I am loading a model from an hdf5 file with using keras.models.load_model. when i try to predict using that model the following error raises:

'thread._local' object has no attribute 'value'

the code is:

'''
from keras.preprocessing.image import img_to_array
from keras.models import load_model

model_path = (''/home/pi/classifier/models/model.hdf5'')
classifier = load_model(model_path, compile=False)
preds = classifier.predict(img_to_array(image))
'''
where image is numpy array read by opencv

Platform: Raspberry Pi 4
OS: Raspbian Buster
TF version: 1.13.1
Keras version: 2.3.0

[fchollet]

This has been fixed recently. Please try to install Keras from the master branch on GitHub.

[pratik-pk]

The issue is still reflecting for me in ubuntu linux 18.0.4
keras : 2.3.0

Environment:

Request Method: POST
Request URL: http://127.0.0.1:8000/form/

Django Version: 2.2.5
Python Version: 3.7.3
Installed Applications:
['django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'rest_framework',
'DLPAPI']
Installed Middleware:
['django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware']

Traceback:

File "/home/pratikkumarpandey/dlpenv/lib/python3.7/site-packages/django/core/handlers/exception.py" in inner
34. response = get_response(request)

File "/home/pratikkumarpandey/dlpenv/lib/python3.7/site-packages/django/core/handlers/base.py" in _get_response
115. response = self.process_exception_by_middleware(e, request)

File "/home/pratikkumarpandey/dlpenv/lib/python3.7/site-packages/django/core/handlers/base.py" in _get_response
113. response = wrapped_callback(request, *callback_args, **callback_kwargs)

File "/home/pratikkumarpandey/DLP_PROJECT/DLPAPI/views.py" in dlpdataview
30. result(recordNUM)

File "/home/pratikkumarpandey/DLP_PROJECT/DLPAPI/DLP/dlpExplainable.py" in result
223. a,b,c,d= getExplanationByRecord(val1)

File "/home/pratikkumarpandey/DLP_PROJECT/DLPAPI/DLP/dlpExplainable.py" in getExplanationByRecord
200. dataFrame, context, inputVector, DNNPrediction, predictionClass = getTextPrediction(recordNum)

File "/home/pratikkumarpandey/DLP_PROJECT/DLPAPI/DLP/dlpExplainable.py" in getTextPrediction
70. prediction = model.predict(inputVector, verbose=0)

File "/home/pratikkumarpandey/dlpenv/lib/python3.7/site-packages/keras/engine/training.py" in predict
1462. callbacks=callbacks)

[durnosmih]

I have the same issues
I'm running python script with keras 2.2.5 on my laptop and everything is fine
But the same script with keras 2.3.0 on another computer gives this error

OS: Windows 10
TF: 1.14.0

[pratikpc]

@DenVys thank you so much!
We were shocked that our multithreaded KTrain loaded model was working at one place and not working in another.
Thank you again!

[bimaben]

So I has the same issue, I am running an image classification model on an ubuntu server!
I uninstalled Keras since I had Installed it using PIp, So I run

pip uninstall keras

and then I installed it again using

conda install keras

It solved the issue!

[Vitaly-Git]

Hello. Today we've faced the same problem. We've founded that Version ImageAI 2.1.5 works with tensorflow v 1.14.0 and keras v.2.2.5 so use:

pip install tensorflow==1.14
pip install keras==2.2.5

It's solved our problem.

[bytemain]

can confirm.
keras==2.2.5 solve the problem.

I'm trying to use keras in flask, it raise an error:
'thread._local' object has no attribute 'value' error

[durnosmih]

@fchollet
It looks like this is still a problem as people said
Maybe we need to reopen this issue?

[dmwyatt]

@DenVys As he said, the fix is on master. It looks like everyone who is still having the problem is not using master.

[dmwyatt]

That being said, @fchollet I installed from master and am still getting this error with Flask.

[mouadennasri]

I've tried Keras 2.2.5 but the issue still persists

[mouadennasri]

For those who don't need the multithreading, and still get blocked by this issue try setting threaded=False in app.run

[ericromang]

For those who don't need the multithreading, and still get blocked by this issue try setting threaded=False in app.run

it's working for me
Example:
app.run(host="0.0.0.0",port=5000,threaded=False)

[cbodenst]

Running keras inside a thread with TF2 will still crash like that. I think this is still a big issue and should still be open.
This example will reproduce the error:

Tensorflow: 2.0
Keras: 2.3.1

from keras.models import Sequential, load_model
from keras.layers import Dense
from threading import Thread

m = Sequential()
m.add(Dense(10,input_shape=(10,)))
m.compile("sgd","mse")
m.save("test.h5")

def load():
    load_model("test.h5")

t = Thread(target=load)
t.start()
t.join()