IndexError：在 TensorFlow 中列出超出范围的索引

Question

我收到一个错误，IndexError: list index out of range.Traceback 说

Run id: P0W5X0

Log directory: /tmp/tflearn_logs/

Exception in thread Thread-2:

Traceback (most recent call last):

  File "/usr/local/Cellar/python@2/2.7.15/Frameworks/Python.framework/Versions/2.7/lib/python2.7/threading.py", line 801, in __bootstrap_inner

    self.run()

  File "/usr/local/Cellar/python@2/2.7.15/Frameworks/Python.framework/Versions/2.7/lib/python2.7/threading.py", line 754, in run

    self.__target(*self.__args, **self.__kwargs)

  File "/Users/xxx/anaconda/xxx/lib/python2.7/site-packages/tflearn/data_flow.py", line 201, in fill_batch_ids_queue

    ids = self.next_batch_ids()

  File "/Users/xxx/anaconda/xxx/lib/python2.7/site-packages/tflearn/data_flow.py", line 215, in next_batch_ids

    batch_start, batch_end = self.batches[self.batch_index]

IndexError: list index out of range

我写了代码，

# coding: utf-8

import tensorflow as tf

import tflearn

from tflearn.layers.core import input_data,dropout,fully_connected

from tflearn.layers.conv import conv_2d, max_pool_2d

from tflearn.layers.normalization import local_response_normalization

from tflearn.layers.estimator import regression

tf.reset_default_graph()

net = input_data(shape=[None,20000, 4, 42])

net = conv_2d(net, 4, 16, activation='relu')

net = max_pool_2d(net, 1)

net = tflearn.activations.relu(net)

net = dropout(net, 0.5)

net = tflearn.fully_connected(net, 2, activation='softmax')

net = tflearn.regression(net, optimizer='adam', learning_rate=0.5, loss='categorical_crossentropy')

model = tflearn.DNN(net)

model.fit(np.array(trainDataSet).reshape(1,20000, 4, 42), np.array(trainLabel), n_epoch=400, batch_size=32, validation_set=0.1, show_metric=True)

pred = np.array(model.predict(np.array(testDataSet).reshape(1,20000, 4, 42)).argmax(axis=1))

我真的不明白为什么会发生这样的错误。我试图改写成

model.fit(np.array(trainDataSet).reshape(1,20000, 4, 42), np.array(trainLabel), n_epoch=400, batch_size=1, validation_set=0.1, show_metric=True) 

因为 bach 导致了这个错误，但发生了同样的错误。我在这部分重写了另一个数字，但发生了同样的错误。我的代码有什么问题？我应该如何解决这个问题？