如何使用saver.save和FileWriter函数直接将检查点文件和事件日志写入hdfs？
我运行我的代码：
W = tf.Variable([[1,2,3],[3,4,5]], dtype=tf.float32, name='weights')
b = tf.Variable([[1,2,3]], dtype=tf.float32, name='biases')
init = tf.global_variables_initializer()
saver = tf.train.Saver()
with tf.Session() as sess:
sess.run(init)
save_path = saver.save(sess, hdfs_path+"save_net.ckpt")
print("Save to path: ", hdfs_path)
当我将hdfs_path替换为本地路径时，它运行正常。但是当我运行hdfs_path时：
File "test_hdfs.py", line 73, in <module>
save_path = saver.save(sess, hdfs_path+"save_net.ckpt")
File "/data/anaconda2/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1354, in save
"Parent directory of {} doesn't exist, can't save.".format(save_path))
当我使用tf.summary.FileWriter函数时，会发生类似情况。当我使用hdfs_path时程序被卡住了。当我使用local_path时，它运行正常。
我的整个代码是这样的：
hdfs_path="hdfs://*"
local_path = "./"
with tf.Session(graph=tf.get_default_graph()) as sess:
W = tf.Variable([[1,2,3],[3,4,5]], dtype=tf.float32, name='weights')
b = tf.Variable([[1,2,3]], dtype=tf.float32, name='biases')
init = tf.group(tf.global_variables_initializer(),tf.local_variables_initializer())
saver = tf.train.Saver()
sess.run(init)
summary_writer = tf.summary.FileWriter(hdfs_path,graph_def=sess.graph_def)
saver.save(sess,save_path=hdfs_path+"save_net.ckpt")