Error while training the TextCNN

[naveen-kinnal]

Hello. I am facing an error when training the TextCNN.ipynb. The error is as below

ValueError: setting an array element with a sequence

and this is happening after the 1st epoch in the test method of TextCNN_Util, because of the line

self.D.dropout_input: 1.0

Could you please help me out.

Full error

Writing to Model/YELP/TextCNN/
Epoch 1/30 | Batch 0/1731 | Train_loss: 4.134 Acc 0.367 | Test_loss: 1.580 Acc 0.770 | Time_cost:0.271
Test Input: it was large and good enough for <UNK> | Output: 0 | GroundTruth: 1
Test Input: service was average but could not make up for the poor food and drink | Output: 0 | GroundTruth: 0
Test Input: this place is a terrible place to live | Output: 0 | GroundTruth: 0
Train Input: perfect spot for a date or a girls night out | Output: 0 | GroundTruth: 1
Train Input: they have a nice sized outdoor seating area with umbrellas at each table | Output: 0 | GroundTruth: 1

Epoch 1/30 | Batch 577/1731 | Train_loss: 1.478 Acc 0.761 | Test_loss: 1.308 Acc 0.746 | Time_cost:21.817
Test Input: <UNK> food was <UNK> <UNK> would go there | Output: 0 | GroundTruth: 1
Test Input: i ordered a cesar salad with a side of blackened chicken | Output: 1 | GroundTruth: 0
Test Input: <UNK> always deliver and keep promises very happy | Output: 1 | GroundTruth: 1
Train Input: the plus side of this restaurant is that it is fast and cheap | Output: 1 | GroundTruth: 0
Train Input: the italian sub is fantastic | Output: 1 | GroundTruth: 1

Epoch 1/30 | Batch 1154/1731 | Train_loss: 1.186 Acc 0.817 | Test_loss: 0.807 Acc 0.859 | Time_cost:20.641
Test Input: <UNK> hours of my life <UNK> was happy to give | Output: 1 | GroundTruth: 1
Test Input: the answer came | Output: 0 | GroundTruth: 1
Test Input: this room that he found also reeked of smoke | Output: 1 | GroundTruth: 0
Train Input: loved their 1/2 pound meatball | Output: 1 | GroundTruth: 1
Train Input: do not go to this restaurant if you ca n't use stairs | Output: 0 | GroundTruth: 0

ipykernel_launcher:36: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
ValueError: setting an array element with a sequence.
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
TypeError: int() argument must be a string, a bytes-like object or a number, not 'list'

The above exception was the direct cause of the following exception:

ValueError                                Traceback (most recent call last)
<ipython-input-8-914ea13f228a> in <module>
      1 util = TextCNN_Util(dp=dp, model=D)
----> 2 util.fit(train_dir=train_dir)

<ipython-input-4-6a835914f626> in fit(self, train_dir)
     54             tic = time.time()
     55             train_c_loss, train_acc = self.train(epoch)
---> 56             test_c_loss, test_acc = self.test()
     57             print("Epoch %d/%d | Train_loss: %.3f Acc %.3f | Test_loss: %.3f Acc %.3f" % 
     58                   (epoch, self.n_epoch, train_c_loss, train_acc, test_c_loss, test_acc))

<ipython-input-4-6a835914f626> in test(self)
     38                 {self.D.input_x: X_test_batch, 
     39                 self.D.input_y: C_test_batch,
---> 40                 self.D.dropout_input: 1})
     41             avg_c_loss += loss
     42             avg_acc += acc

~/.conda/envs/deep_seq_model/lib/python3.6/site-packages/tensorflow_core/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
    954     try:
    955       result = self._run(None, fetches, feed_dict, options_ptr,
--> 956                          run_metadata_ptr)
    957       if run_metadata:
    958         proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

~/.conda/envs/deep_seq_model/lib/python3.6/site-packages/tensorflow_core/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
   1147             feed_handles[subfeed_t] = subfeed_val
   1148           else:
-> 1149             np_val = np.asarray(subfeed_val, dtype=subfeed_dtype)
   1150 
   1151           if (not is_tensor_handle_feed and

~/.conda/envs/deep_seq_model/lib/python3.6/site-packages/numpy/core/_asarray.py in asarray(a, dtype, order)
     81 
     82     """
---> 83     return array(a, dtype, copy=False, order=order)
     84 
     85 

ValueError: setting an array element with a sequence.