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？
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