from tensorflow.examples.tutorials.mnist import input_datamnist = input_data.read_data_sets("/tmp/data/", one_hot = True)import tensorflow as tflearning_rate = 0.01training_iteration = 30batch_size = 100display_step = 2x = tf.placeholder("float", [None, 784])y = tf.placeholder("float", [None, 10])W = tf.Variable(tf.zeros([784, 10]))b = tf.Variable(tf.zeros([10]))with tf.name_scope("Wx_b") as scope: model = tf.nn.softmax(tf.matmul(x, W) + b)w_h = tf.summary.histogram("weights", W)b_h = tf.summary.histogram("biases", b)with tf.name_scope("cost_function") as scope: cost_function = -tf.reduce_sum(y*tf.log(model)) tf.summary.scalar("cost_function", cost_function)with tf.name_scope("train") as scope: optimizer = tf.train.GradientDescentOptimizer(learning_rate).minimize(cost_function)init = tf.global_variables_initializer()merged_summary_op = tf.summary.merge_all()with tf.Session() as sess: sess.run(init) summary_writer = tf.summary.FileWriter('/home/sergo/work/logs',graph_def = sess.graph_def) #I GET AN ERROR IN THIS FileWriter method for iteration in range(training_iteration): avg_cost = 0. total_batch = int(mnist.train.num_examples/batch_size) for i in range(total_batch): batch_xs, batch_ys = mnist.train.next_batch(batch_size) sess.run(optimizer, feed_dict = {x: batch_xs, y: batch_ys}) avg_cost += sess.run(cost_function, feed_dict={x:batch_xs, y: batch_ys})/total_batch # write logs for each iteration sessummary_str = sess.run(merged_summary_op, feed_dict={x: batch_xs, y: batch_ys}) summary_writer.add_summary(summary_str, interation*total_batch + i) if iteration % display_step == 0: print("Iteration:", '%04d' % (iteration + 1), "cost=", "{:.9f}".format(avg_cost)) #When finished: print("Turning completed!") predictions = tf.equal(tf.argmax(model, 1), tf.argmax(y,1)) accuracy = tf.reduce_mean(tf.cast(predictions, "float")) print("Accuracy:", accuracy.eval({x: mnist.test.images, y: mnist.test.labels}))你好，我正在使用来自YouTube教程的Python3.6示例代码，Tensorflow版本为1.0。
我在第36行使用FileWriter方法时遇到了以下错误：
Traceback (most recent call last):File "/Users/cliang/Desktop/tfclass.py", line 36, in <module>summary_writer = tf.summary.FileWriter('/home/sergo/work/logs',graph_def = sess.graph_def)File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/summary/writer/writer.py", line 308, in __init__event_writer = EventFileWriter(logdir, max_queue, flush_secs)File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/summary/writer/event_file_writer.py", line 69, in __init__gfile.MakeDirs(self._logdir)File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/lib/io/file_io.py", line 301, in recursive_create_dirpywrap_tensorflow.RecursivelyCreateDir(compat.as_bytes(dirname), status)File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/contextlib.py", line 89, in __exit__next(self.gen)File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 469, in raise_exception_on_not_ok_statuspywrap_tensorflow.TF_GetCode(status))tensorflow.python.framework.errors_impl.UnimplementedError: /home/sergo有谁知道如何修复这个错误，以及’/home/sergo/work/logs’路径参数的含义是什么吗？
任何帮助都将非常感激。
谢谢！
（我使用的是Mac OS X Yosemite 10.10.5）
回答：
在这一行，summary_writer = tf.summary.FileWriter(‘/home/sergo/work/logs’,graph_def = sess.graph_def) #I GET AN ERROR IN THIS FileWriter method
明确提到了路径/home/sergo/work/logs
这个路径在你的本地机器上可能不存在，请提供一个存在的路径，这应该能解决你的问题
谢谢
