How to fix Object arrays cannot be loaded when allow pickle False for imdb load data function

Question

I m trying to implement the binary classification example using the IMDb dataset in Google Colab  I have implemented this model before  But when I tried to do it again after a few days  it returned a value error   Object arrays cannot be loaded when allow pickle False  for the load data   function  I have already tried solving this  referring to an existing answer for a similar problem  How to fix   39 Object arrays cannot be loaded when allow pickle False  39  in the sketch rnn algorithm  But it turns out that just adding an allow pickle argument isn t sufficient  My code  from keras datasets import imdb  train data  train labels    test data  test labels    imdb load data num words 10000   The error  ValueError                                Traceback  most recent call last   lt ipython-input-1-2ab3902db485 gt  in  lt module gt          1 from keras datasets import imdb ---- gt  2  train data  train labels    test data  test labels    imdb load data num words 10000   2 frames  usr local lib python3 6 dist-packages keras datasets imdb py in load data path  num words  skip top  maxlen  seed  start char  oov char  index from    kwargs       57                     file hash  599dadb1135973df5b59232a0e9a887c        58     with np load path  as f  --- gt  59         x train  labels train   f  x train    f  y train        60         x test  labels test   f  x test    f  y test        61    usr local lib python3 6 dist-packages numpy lib npyio py in   getitem   self  key      260                 return format read array bytes      261                                          allow pickle self allow pickle  -- gt  262                                          pickle kwargs self pickle kwargs      263             else      264                 return self zip read key    usr local lib python3 6 dist-packages numpy lib format py in read array fp  allow pickle  pickle kwargs      690           The array contained Python objects  We need to unpickle the data      691         if not allow pickle  -- gt  692             raise ValueError  quot Object arrays cannot be loaded when  quot      693                               quot allow pickle False quot       694         if pickle kwargs is None   ValueError  Object arrays cannot be loaded when allow pickle False

User · Answer

I was facing the same issue  here is line from error File  quot  usr lib python3 dist-packages numpy lib npyio py quot   line 260  in   getitem    So i solve the issue by updating  quot npyio py quot  file  In npyio py line 196 assigning value to allow pickle so i update this line as self allow pickle   True

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Its work for me          np load old   np load         np load   lambda  a  np load old  a  allow pickle True           x train  y train    x test  y test    reuters load data num words None  test split 0 2          np load   np load old

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The error also can occur if you try to save a python list of numpy arrays with np save and load with np load  I am only saying it for the sake of googler s to check out that this is not the issue  Also using allow pickle True fixed the issue if a list is indeed what you meant to save and load

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You can try changing the flag s value  np load training image names array allow pickle True

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Yes  installing previous a version of numpy solved the problem    For those who uses PyCharm IDE   in my IDE  Pycharm   File- Settings- Project Interpreter  I found my numpy to be 1 16 3  so I revert back to 1 16 1   Click   and type numpy in the search  tick  specify version    1 16 1 and choose--  install package

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Tensorflow has a fix in tf-nightly version    pip install tf-nightly   The current version is  2 0 0-dev20190511

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The answer of  cheez sometime doesn t work and recursively call the function again and again  To solve this problem you should copy the function deeply  You can do this by using the function partial  so the final code is   import numpy as np from functools import partial    save np load np load old   partial np load     modify the default parameters of np load np load   lambda  a   k  np load old  a  allow pickle True    k     call load data with allow pickle implicitly set to true  train data  train labels    test data  test labels     imdb load data num words 10000     restore np load for future normal usage np load   np load old

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What I have found is that TensorFlow 2 0  I am using 2 0 0-alpha0  is not compatible with the latest version of Numpy i e  v1 17 0  and possibly v1 16 5    As soon as TF2 is imported  it throws a huge list of FutureWarning  that looks something like this    FutureWarning  Passing  type  1  or  1type  as a synonym of type is deprecated  in a future version of numpy  it will be understood as  type   1        1  type      np qint8   np dtype    qint8   np int8  1     anaconda3 lib python3 6 site-packages tensorboard compat tensorflow stub dtypes py 541  FutureWarning  Passing  type  1  or  1type  as a synonym of type is deprecated  in a future version of numpy  it will be understood as  type   1        1  type      np qint8   np dtype    qint8   np int8  1     anaconda3 lib python3 6 site-packages tensorboard compat tensorflow stub dtypes py 542  FutureWarning  Passing  type  1  or  1type  as a synonym of type is deprecated  in a future version of numpy  it will be understood as  type   1        1  type      np quint8   np dtype    quint8   np uint8  1     anaconda3 lib python3 6 site-packages tensorboard compat tensorflow stub dtypes py 543  FutureWarning  Passing  type  1  or  1type  as a synonym of type is deprecated  in a future version of numpy  it will be understood as  type   1        1  type     This also resulted in the allow pickle error when tried to load imdb dataset from keras  I tried to use the following solution which worked just fine  but I had to do it every single project where I was importing TF2 or tf keras   np load   lambda  a   k  np load old  a  allow pickle True    k    The easiest solution I found was to either install numpy 1 16 1 globally  or use compatible versions of tensorflow and numpy in a virtual environment    My goal with this answer is to point out that its not just a problem with imdb load data  but a larger problem vaused by incompatibility of TF2 and Numpy versions and may result in many other hidden bugs or issues

User · Answer

Use this  from tensorflow keras datasets import imdb  instead of this  from keras datasets import imdb

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In my case worked with   np load path  allow pickle True

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I don t usually post to these things but this was super annoying  The confusion comes from the fact that some of the Keras imdb py files have already updated   with np load path  as f    to the version with allow pickle True  Make sure check the imdb py file to see if this change was already implemented  If it has been adjusted  the following works fine   from keras datasets import imdb  train text  train labels    test text  test labels    imdb load data num words 10000

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I landed up here  tried your ways and could not figure out   I was actually working on a pregiven code where  pickle load path    was used so i replaced it with  np load path  allow pickle True

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Here s a trick to force imdb load data to allow pickle by  in your notebook  replacing this line    train data  train labels    test data  test labels    imdb load data num words 10000    by this   import numpy as np   save np load np load old   np load    modify the default parameters of np load np load   lambda  a   k  np load old  a  allow pickle True    k     call load data with allow pickle implicitly set to true  train data  train labels    test data  test labels    imdb load data num words 10000     restore np load for future normal usage np load   np load old

User · Answer

Instead of from keras datasets import imdb  use from tensorflow keras datasets import imdb  top words   10000   x train  y train    x test  y test     imdb load data num words top words  seed 21

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This issue is still up on keras git  I hope it gets solved as soon as possible   Until then  try downgrading your numpy version to 1 16 2  It seems to solve the problem    pip install numpy  1 16 1 import numpy as np   This version of numpy has the default value of allow pickle as True

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find the path to imdb py then just add the flag to np load path    flag          def load data                                                                                                       - with np load path  as f        with np load path allow pickle True  as f

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The easiest way is to change imdb py setting allow pickle True to np load at the line where imdb py throws error

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I think the answer from cheez  https   stackoverflow com users 122933 cheez  is the easiest and most effective one  I d elaborate a little bit over it so it would not modify a numpy function for the whole session period    My suggestion is below  I  m using it to download the reuters dataset from keras which is showing the same kind of error   old   np load np load   lambda  a   k  old  a   k allow pickle True   from keras datasets import reuters  train data  train labels    test data  test labels    reuters load data num words 10000   np load   old del old

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This error comes when you have the previous version of torch like 1 6 0 with torchvision  0 7 0  you may check yours torch version through this command  import tensorflow print tensorflow   version     this error is already resolved in the newer version of torch  you can remove this error through making the following change in np load   np load somepath  allow pickle True   The allow pickle True will solve it

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none of the above listed solutions worked for me  i run anaconda with python 3 7 3  What worked for me was   run  conda install numpy  1 16 1  from Anaconda powershell close and reopen the notebook

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I just used allow pickle   True as an argument to np load   and it worked for me  np load path  allow pickle True

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on jupyter notebook using  np load old   np load    modify the default parameters of np load np load   lambda  a   k  np load old  a  allow pickle True    k    worked fine  but the problem appears when you use this method in spyder you have to restart the kernel every time or you will get an error like      TypeError      got multiple values for keyword argument  allow pickle    I solved this issue using the solution here

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Following this issue on GitHub  the official solution is to edit the imdb py file   This fix worked well for me without the need to downgrade numpy    Find the imdb py file at tensorflow python keras datasets imdb py  full path for me was  C  Anaconda Lib site-packages tensorflow python keras datasets imdb py - other installs will be different  and change line 85 as per the diff   -  with np load path  as f     with np load path  allow pickle True  as f    The reason for the change is security to prevent the Python equivalent of an SQL injection in a pickled file   The change above will ONLY effect the imdb data and you therefore retain the security elsewhere  by not downgrading numpy

[python] How to fix 'Object arrays cannot be loaded when allow_pickle=False' for imdb.load_data() function?

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