当我运行代码时，我正在使用 tensorflow 处理 lstm，它向我显示错误。代码运行正常，但是当我运行函数时 tf.nn.dynamic_rnn(lstmCell, data, dtype=tf.float64) 它显示值错误
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)
如何使用 tensorflow 解决此错误。
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]
input_data 的形状是
(24, 30, 1, 2)
wordVector 的形状是
(24053, 1, 2)
最佳答案
标签形状是 4 维的，因为你向 tf 提供了错误类型的数据，
请尝试使用 NumberPy 数组或 List
关于python - tensorflow 层 basic_lstm_cell_1 的 LSTM 输入 0，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/52801571/