LSTM Input 0 of layer basic_lstm_cell_1 in tensorflow

I am working with lstm using tensor flow when I am running the code it is showing me the error. the code is running fine but when I am running the function tf.nn.dynamic_rnn(lstmCell, data, dtype=tf.float64) it is showing Value ERROR

import tensorflow as tf

wordsList = np.load('urduwords.npy')
wordVectors = np.load('urduwordsMatrix.npy')

batchSize = 24
lstmUnits = 64
numClasses = 2
iterations = 10000

tf.reset_default_graph()


labels = tf.placeholder(tf.float32, [batchSize, numClasses])
input_data = tf.placeholder(tf.int32, [batchSize, maxSeqLength])

print(labels)

data = tf.Variable(tf.zeros([batchSize, maxSeqLength, numDimensions]),dtype=tf.float32)
print(data)


data = tf.nn.embedding_lookup(wordVectors,input_data)
print(data)


lstmCell = tf.contrib.rnn.BasicLSTMCell(lstmUnits)
lstmCell = tf.contrib.rnn.DropoutWrapper(cell=lstmCell, output_keep_prob=0.1)

value, _ = tf.nn.dynamic_rnn(lstmCell, data, dtype=tf.float64)

How to resolve this error using tensor flow.

ValueError: Input 0 of layer basic_lstm_cell_1 is incompatible with the layer: expected ndim=2, found ndim=3. Full shape received: [24, 1, 2]

from LSTM Input 0 of layer basic_lstm_cell_1 in tensorflow