Amazing Solutions For valueerror: object arrays cannot be loaded when allow_pickle=false Error

Question

I get the error: valueerror: object arrays cannot be loaded when allow_pickle=false when I try to run the program below:

from keras.datasets import imdb
 (train_data, train_labels), (test_data, test_labels) = imdb.load_data(num_words=10000)

The error appears the system notifies as follows:

ValueError Traceback (most recent call last)
 <ipython-input-1-2ab3902db485> in <module>()
  1 from keras.datasets import imdb
 ----> 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:
 ---> 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,
 --> 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:
 --> 692 raise ValueError("Object arrays cannot be loaded when "
  693 "allow_pickle=False")
  694 if pickle_kwargs is None:
 
 ValueError: Object arrays cannot be loaded when allow_pickle=False

I tried to solve it with another sample. I got the reference in the community forum, but it still returned an invalid result. If someone knows the solution, please give me the support. Thanks!

dhtutoria · Accepted Answer

The cause: The error can occur due to the following reasons: Saving a python list of numpy arrays that used np.save and then it is loaded with np.load. Therefore, imdb.load_data didn't allow pickle.

Solution: You should do this way to compel imdb.load_data to permit pickle.

Change:

(train_data, train_labels), (test_data, test_labels) = imdb.load_data(num_words=10000)

into:

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

👇️ Read more: Fixing “ValueError: Object arrays cannot be loaded when allow_pickle=False”

Maël Papin · Answer

This issue "valueerror: object arrays cannot be loaded" is still on keras Git. It will be resolved as soon as possible, I hope you can try to downgrade your numpy version until then to 1.16.2. This seems to fix the problem.

!pip install numpy==1.16.1
import numpy as np

This version of numpy uses the default allow_pickle value as True.

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Amazing Solutions For valueerror: object arrays cannot be loaded when allow_pickle=false Error