ظهور الخطأ ValueError: Data cardinality is ambiguous في كيراس Keras

قمت ببناء نموذج لتصنيف الأخبار على بيانات راوترز، لكن يظهر لي الخطأ التالي عند محاولة تدريب نموذجي؟

from keras.datasets import reuters
import keras
import tensorflow as tf
(train_data, train_labels), (test_data, test_labels) = reuters.load_data(
num_words=10000)
import numpy as np
def vectorize_sequences(sequences, dimension=10000):
  results = np.zeros((len(sequences), dimension))
  for i, sequence in enumerate(sequences):
   results[i, sequence] = 1.
  return results
x_train = vectorize_sequences(train_data)
x_test = vectorize_sequences(test_data)
from keras.utils.np_utils import to_categorical
one_hot_train_labels = to_categorical(train_labels)
one_hot_test_labels = to_categorical(test_labels)
x_val = x_train[:1000]
partial_x_train = x_train[1000:]

from keras import models
from keras import layers
model = models.Sequential()
model.add(layers.Dense(64, activation='relu', input_shape=(10000,)))
model.add(keras.layers.LayerNormalization())
model.add(layers.Dense(64, activation='relu'))
model.add(keras.layers.LayerNormalization())
model.add(layers.Dense(46, activation='softmax'))
model.compile(optimizer='rmsprop',
loss='categorical_crossentropy',
metrics=['CategoricalAccuracy'])
#fit تدريب النموذج من خلال الدالة 
history = model.fit(tf.convert_to_tensor(partial_x_train, np.float32),
one_hot_train_labels,
epochs=6,
batch_size=512,
validation_data=(x_val, one_hot_test_labels),max_queue_size=10)
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-2-b9508248cdf2> in <module>()
     34 epochs=6,
     35 batch_size=512,
---> 36 validation_data=(x_val, one_hot_test_labels),max_queue_size=10)
4 frames
/usr/local/lib/python3.7/dist-packages/keras/engine/data_adapter.py in _check_data_cardinality(data)
   1647           label, ", ".join(str(i.shape[0]) for i in tf.nest.flatten(single_data)))
   1648     msg += "Make sure all arrays contain the same number of samples."
-> 1649     raise ValueError(msg)
   1650 
   1651 
ValueError: Data cardinality is ambiguous:
  x sizes: 7982
  y sizes: 8982
Make sure all arrays contain the same number of samples.

ما المشكلة وما السبب؟ وما هو الحل؟