Python TensorFlow储蓄模型-自相矛盾的例外

我试图保存一个基本的MNIST模型：

from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('MNIST_data', one_hot=True)
import tensorflow as tf
sess = tf.InteractiveSession()

x = tf.placeholder(tf.float32, shape=[None, 784])
y_ = tf.placeholder(tf.float32, shape=[None, 10])
W = tf.Variable(tf.zeros([784, 10]))
b = tf.Variable(tf.zeros([10]))

saver = tf.train.Saver()

sess.run(tf.global_variables_initializer())

y = tf.matmul(x, W) + b
cross_entropy = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(labels = y_, logits = y))

train_step = tf.train.GradientDescentOptimizer(0.5).minimize(cross_entropy)

saver.save(sess, './mnist_to-save-saved')

for _ in range(1000):
    batch = mnist.train.next_batch(100)
    train_step.run(feed_dict={x: batch[0], y_: batch[1]})

correct_prediction = tf.equal(tf.argmax(y, 1), tf.argmax(y_, 1))
accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))
saver.save(sess, '/mnist-to-save-saved', global_step=1000)

print(accuracy.eval(feed_dict={x: mnist.test.images, y_: mnist.test.labels}))

它似乎部分起作用，因为在生成此model.py文件的同一目录中，生成了一些文件：

mnist_to-save-daved.index
mnist_to-save_saved.meta
mnist_to-save.saved.data-00000-of-00001
checkpoint

我只能访问“检查点”文件的内容，即：

model_checkpoint_path: "mnist_to-save-saved"
all_model_checkpoint_paths: "mnist_to-save-saved"

我的问题是，在执行培训模型文件时，为什么我同时得到这个错误跟踪，以及如何修复它

C:\Users\username\Anaconda3\envs\tensorflowenv\python.exe C:/Users/username/PycharmProjects/estimator/mnist-to-save.py
Extracting MNIST_data\train-images-idx3-ubyte.gz
Extracting MNIST_data\train-labels-idx1-ubyte.gz
Extracting MNIST_data\t10k-images-idx3-ubyte.gz
Extracting MNIST_data\t10k-labels-idx1-ubyte.gz
2018-04-15 18:22:39.959614: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Permission denied: Failed to create a directory: /; Permission denied
Traceback (most recent call last):
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\client\session.py", line 1323, in _do_call
    return fn(*args)
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\client\session.py", line 1302, in _run_fn
    status, run_metadata)
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 473, in __exit__
    c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.PermissionDeniedError: Failed to create a directory: /; Permission denied
     [[Node: save/SaveV2 = SaveV2[dtypes=[DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/SaveV2/tensor_names, save/SaveV2/shape_and_slices, Variable, Variable_1)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:/Users/username/PycharmProjects/estimator/mnist-to-save.py", line 28, in <module>
    saver.save(sess, '/mnist-to-save-saved', global_step=1000)
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\training\saver.py", line 1573, in save
    {self.saver_def.filename_tensor_name: checkpoint_file})
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\client\session.py", line 889, in run
    run_metadata_ptr)
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\client\session.py", line 1120, in _run
    feed_dict_tensor, options, run_metadata)
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\client\session.py", line 1317, in _do_run
    options, run_metadata)
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\client\session.py", line 1336, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.PermissionDeniedError: Failed to create a directory: /; Permission denied
     [[Node: save/SaveV2 = SaveV2[dtypes=[DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/SaveV2/tensor_names, save/SaveV2/shape_and_slices, Variable, Variable_1)]]

Caused by op 'save/SaveV2', defined at:
  File "C:/Users/username/PycharmProjects/estimator/mnist-to-save.py", line 11, in <module>
    saver = tf.train.Saver()
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\training\saver.py", line 1218, in __init__
    self.build()
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\training\saver.py", line 1227, in build
    self._build(self._filename, build_save=True, build_restore=True)
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\training\saver.py", line 1263, in _build
    build_save=build_save, build_restore=build_restore)
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\training\saver.py", line 748, in _build_internal
    save_tensor = self._AddSaveOps(filename_tensor, saveables)
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\training\saver.py", line 296, in _AddSaveOps
    save = self.save_op(filename_tensor, saveables)
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\training\saver.py", line 239, in save_op
    tensors)
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\ops\gen_io_ops.py", line 1162, in save_v2
    shape_and_slices=shape_and_slices, tensors=tensors, name=name)
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
    op_def=op_def)
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\framework\ops.py", line 2956, in create_op
    op_def=op_def)
  File "C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site-packages\tensorflow\python\framework\ops.py", line 1470, in __init__
    self._traceback = self._graph._extract_stack()  # pylint: disable=protected-access

PermissionDeniedError (see above for traceback): Failed to create a directory: /; Permission denied
     [[Node: save/SaveV2 = SaveV2[dtypes=[DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/SaveV2/tensor_names, save/SaveV2/shape_and_slices, Variable, Variable_1)]]


Process finished with exit code 1

C:\Users\username\Anaconda3\envs\tensorflowenv\python.exe C:/Users/username/PycharmProjects/estimator/mnist-to-save.py
提取MNIST_数据\train-images-idx3-ubyte.gz
提取MNIST_数据\train-labels-idx1-ubyte.gz
提取MNIST_数据\t10k-images-idx3-ubyte.gz
提取MNIST_数据\t10k-labels-idx1-ubyte.gz
2018-04-15 18:22:39.959614:W C:\tf_jenkins\home\workspace\rel win\M\windows\PY\35\tensorflow\core\framework\op_kernel.cc:1192]权限被拒绝：创建目录失败：/；拒绝许可
回溯（最近一次呼叫最后一次）：
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\client\session.py”，第1323行，在调用中
返回fn（*args）
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\client\session.py”，第1302行，在\u run\u fn中
状态，运行（元数据）
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\framework\errors\u impl.py”，第473行，在退出中__
c_api.TF_GetCode（self.status.status））
tensorflow.python.framework.errors_impl.PermissionDeniedError:未能创建目录：/；拒绝许可
[[Node:save/SaveV2=SaveV2[dtypes=[DT_FLOAT，DT_FLOAT]，[u device=“/job:localhost/replica:0/task:0/device:CPU:0”]（[u arg_save/Const_0_0，save/SaveV2/tensor_名称，save/SaveV2/shape_和_切片，变量，变量_1）]]
在处理上述异常期间，发生了另一个异常：
回溯（最近一次呼叫最后一次）：
文件“C:/Users/username/PycharmProjects/estimator/mnist to save.py”，第28行，在
saver.save（sess，/mnist to save save），全局步骤=1000）
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\training\saver.py”，第1573行，保存
{self.saver_def.filename_tensor_name:checkpoint_file}）
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\client\session.py”，第889行，正在运行
运行_元数据_ptr）
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\client\session.py”，第1120行，正在运行
feed_dict_tensor、options、run_元数据）
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\client\session.py”，第1317行，在运行中
选项，运行（元数据）
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\client\session.py”，第1336行，在调用中
提升类型（e）（节点定义、操作、消息）
tensorflow.python.framework.errors_impl.PermissionDeniedError:未能创建目录：/；拒绝许可
[[Node:save/SaveV2=SaveV2[dtypes=[DT_FLOAT，DT_FLOAT]，[u device=“/job:localhost/replica:0/task:0/device:CPU:0”]（[u arg_save/Const_0_0，save/SaveV2/tensor_名称，save/SaveV2/shape_和_切片，变量，变量_1）]]
由op“save/SaveV2”引起，定义于：
文件“C:/Users/username/PycharmProjects/estimator/mnist to save.py”，第11行，在
saver=tf.train.saver（）
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\training\saver.py”，第1218行，在uu init中__
self.build（）
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\training\saver.py”，第1227行，内部版本
self.\u build（self.\u文件名，build\u save=True，build\u restore=True）
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\training\saver.py”，第1263行，在\u build中
生成保存=生成保存，生成还原=生成还原）
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\training\saver.py”，第748行，在内部版本中
save\u tensor=self.\u AddSaveOps（文件名\u tensor，可保存项）
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\training\saver.py”，第296行，在_AddSaveOps中
save=self.save\u op（文件名\u张量，可保存项）
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\training\saver.py”，第239行，保存在
张量）
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\ops\gen\u io\u ops.py”，第1162行，在save\u v2中
形状和切片=形状和切片，张量=张量，名称=名称）
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\framework\op_def_library.py”，第787行，位于_apply_op_helper中
op_def=op_def）
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\framework\ops.py”，第2956行，位于create\u op
op_def=op_def）
文件“C:\Users\username\Anaconda3\envs\tensorflowenv\lib\site packages\tensorflow\python\framework\ops.py”，第1470行，在uu init中__
self._traceback=self._graph._extract_stack（）35; pylint:disable=protected access
PermissionDeniedError（回溯请参见上文）：无法创建目录：/；拒绝许可
[[Node:save/SaveV2=SaveV2[dtypes=[DT_FLOAT，DT_FLOAT]，[u device=“/job:localhost/replica:0/task:0/device:CPU:0”]（[u arg_save/Const_0_0，save/SaveV2/tensor_名称，save/SaveV2/shape_和_切片，变量，变量_1）]]
进程已完成，退出代码为1

---

它似乎保存了预先训练过的mdel，但在训练中效果不佳。

以下是您的代码摘录

saver.save(sess, './mnist_to-save-saved')

for _ in range(1000):
    batch = mnist.train.next_batch(100)
    train_step.run(feed_dict={x: batch[0], y_: batch[1]})

correct_prediction = tf.equal(tf.argmax(y, 1), tf.argmax(y_, 1))
accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))
saver.save(sess, '/mnist-to-save-saved', global_step=1000)

问题 最后一行有

saver.save（sess），/mnist to save save'

，可能应该是

saver.save（sess），/mnist to save save'

这很可能是导致问题的原因

W C:\tf\u jenkins\home\workspace\rel win\M\windows\PY\35\tensorflow\core\framework\op\u kernel.C
TF_SAVE_FILE = './mnist-to-save-saved'