Open mayankbro opened 5 years ago
import tensorflow as tf tf.reset_default_graph() labels = tf.placeholder(tf.float32, [batchSize, numClasses]) input_data = tf.placeholder(tf.int32, [batchSize, maxSeqLength])
data = tf.Variable(tf.zeros([batchSize, maxSeqLength, numDimensions]),dtype=tf.float32) data = tf.nn.embedding_lookup(wordVectors,input_data)
lstmCell = tf.nn.rnn_cell.LSTMCell(lstmUnits) lstmCell = tf.nn.rnn_cell.DropoutWrapper(cell=lstmCell, output_keep_prob=0.25)
value, _ = tf.nn.dynamic_rnn(lstmCell, data, dtype=tf.float32) weight = tf.Variable(tf.truncated_normal([lstmUnits, numClasses])) bias = tf.Variable(tf.constant(0.1, shape=[numClasses])) value = tf.transpose(value, [1, 0, 2]) last = tf.gather(value, int(value.get_shape()[0]) - 1)
prediction = (tf.matmul(last, weight) + bias) correctPred = tf.equal(tf.argmax(prediction,1), tf.argmax(labels,1)) accuracy = tf.reduce_mean(tf.cast(correctPred, tf.float32))
sess = tf.InteractiveSession() saver = tf.train.Saver() saver.restore(sess, tf.train.latest_checkpoint('models'))
TypeError: Expected binary or unicode string, got None
I'm trying to fetch string file and my code is the same, still I'm getting a error of "got none" What is the mistake in my code?
import tensorflow as tf tf.reset_default_graph() labels = tf.placeholder(tf.float32, [batchSize, numClasses]) input_data = tf.placeholder(tf.int32, [batchSize, maxSeqLength])
data = tf.Variable(tf.zeros([batchSize, maxSeqLength, numDimensions]),dtype=tf.float32) data = tf.nn.embedding_lookup(wordVectors,input_data)
lstmCell = tf.nn.rnn_cell.LSTMCell(lstmUnits) lstmCell = tf.nn.rnn_cell.DropoutWrapper(cell=lstmCell, output_keep_prob=0.25)
value, _ = tf.nn.dynamic_rnn(lstmCell, data, dtype=tf.float32) weight = tf.Variable(tf.truncated_normal([lstmUnits, numClasses])) bias = tf.Variable(tf.constant(0.1, shape=[numClasses])) value = tf.transpose(value, [1, 0, 2]) last = tf.gather(value, int(value.get_shape()[0]) - 1)
prediction = (tf.matmul(last, weight) + bias) correctPred = tf.equal(tf.argmax(prediction,1), tf.argmax(labels,1)) accuracy = tf.reduce_mean(tf.cast(correctPred, tf.float32))
sess = tf.InteractiveSession() saver = tf.train.Saver() saver.restore(sess, tf.train.latest_checkpoint('models'))
TypeError: Expected binary or unicode string, got None
I'm trying to fetch string file and my code is the same, still I'm getting a error of "got none" What is the mistake in my code?