Question

tensorflow怎么从数据库读取数据

Answer 1

# -*- coding:utf-8 -*-import tensorflow as tf filename_queue = tf.train.string_input_producer(["file01.csv", "file02.csv"])reader = tf.TextLineReader()key, value = reader.read(filename_queue) # Default values, in case of empty columns. Also specifies the type of the# decoded result.record_defaults = [[1], [1], [1]]col1, col2, col3 = tf.decode_csv(value, record_defaults = record_defaults)features = tf.stack([col1, col2]) init_op = tf.global_variables_initializer()local_init_op = tf.local_variables_initializer() # local variables like epoch_num, batch_size 可以不初始化localwith tf.Session() as sess: sess.run(init_op) sess.run(local_init_op) # Start populating the filename queue. coord = tf.train.Coordinator() threads = tf.train.start_queue_runners(coord=coord) for i in range(5): # Retrieve a single instance: example, label = sess.run([features, col3]) print(example) print(label) coord.request_stop() coord.join(threads)