我尝试使用tensorflow使用以下代码阅读一些.wav文件：
import tensorflow as tf
filenames = tf.train.match_filenames_once('audio_dataset/*.wav')
count_num_files = tf.size(filenames)
filename_queue = tf.train.string_input_producer(filenames)
reader = tf.WholeFileReader()
filename, file_contents = reader.read(filename_queue)
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
num_files = sess.run(count_num_files)
coord = tf.train.Coordinator()
threads = tf.train.start_queue_runners(coord=coord)
for i in range(num_files):
audio_file = sess.run(filename)
print(audio_file)
我在tensorflow环境中使用Python 3.5运行Jupyter notebook。
为了读取音频文件，我需要使用Bregman Toolkit的依赖项，它使用Python 2.X。
文档Bregman Toolkit表示您可以在python 2.X旁边设置python 3X内核，并执行以下操作：
$ python2 -m pip install ipykernel
$ python2 -m -ipykernel install --user
2.X或3.X内核。
但是在所有设置之后，当我尝试运行代码时，我得到了这个很长的Traceback：
---------------------------------------------------------------------------
FailedPreconditionError Traceback (most recent call last)
/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1038 try:
-> 1039 return fn(*args)
1040 except errors.OpError as e:
/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/tensorflow/python/client/session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
1020 feed_dict, fetch_list, target_list,
-> 1021 status, run_metadata)
1022
/Users/me/anaconda/envs/py35/lib/python3.5/contextlib.py in __exit__(self, type, value, traceback)
65 try:
---> 66 next(self.gen)
67 except StopIteration:
/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/tensorflow/python/framework/errors_impl.py in raise_exception_on_not_ok_status()
465 compat.as_text(pywrap_tensorflow.TF_Message(status)),
--> 466 pywrap_tensorflow.TF_GetCode(status))
467 finally:
FailedPreconditionError: Attempting to use uninitialized value matching_filenames_7
[[Node: matching_filenames_7/read = Identity[T=DT_STRING, _class=["loc:@matching_filenames_7"], _device="/job:localhost/replica:0/task:0/cpu:0"](matching_filenames_7)]]
During handling of the above exception, another exception occurred:
FailedPreconditionError Traceback (most recent call last)
<ipython-input-12-a6f1ad8baaa4> in <module>()
9 with tf.Session() as sess:
10 sess.run(tf.global_variables_initializer())
---> 11 num_files = sess.run(count_num_files)
12
13 coord = tf.train.Coordinator()
/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
776 try:
777 result = self._run(None, fetches, feed_dict, options_ptr,
--> 778 run_metadata_ptr)
779 if run_metadata:
780 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
980 if final_fetches or final_targets:
981 results = self._do_run(handle, final_targets, final_fetches,
--> 982 feed_dict_string, options, run_metadata)
983 else:
984 results = []
/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/tensorflow/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1030 if handle is None:
1031 return self._do_call(_run_fn, self._session, feed_dict, fetch_list,
-> 1032 target_list, options, run_metadata)
1033 else:
1034 return self._do_call(_prun_fn, self._session, handle, feed_dict,
/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1050 except KeyError:
1051 pass
-> 1052 raise type(e)(node_def, op, message)
1053
1054 def _extend_graph(self):
FailedPreconditionError: Attempting to use uninitialized value matching_filenames_7
[[Node: matching_filenames_7/read = Identity[T=DT_STRING, _class=["loc:@matching_filenames_7"], _device="/job:localhost/replica:0/task:0/cpu:0"](matching_filenames_7)]]
Caused by op 'matching_filenames_7/read', defined at:
File "/Users/me/anaconda/envs/py35/lib/python3.5/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/Users/me/anaconda/envs/py35/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/ipykernel_launcher.py", line 16, in <module>
app.launch_new_instance()
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/traitlets/config/application.py", line 658, in launch_instance
app.start()
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/ipykernel/kernelapp.py", line 477, in start
ioloop.IOLoop.instance().start()
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/zmq/eventloop/ioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/tornado/ioloop.py", line 888, in start
handler_func(fd_obj, events)
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 235, in dispatch_shell
handler(stream, idents, msg)
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/ipykernel/ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/ipykernel/zmqshell.py", line 533, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2717, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2821, in run_ast_nodes
if self.run_code(code, result):
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2881, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-12-a6f1ad8baaa4>", line 3, in <module>
filenames = tf.train.match_filenames_once('audio_dataset/*.wav')
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/tensorflow/python/training/input.py", line 68, in match_filenames_once
collections=[ops.GraphKeys.LOCAL_VARIABLES])
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/tensorflow/python/ops/variables.py", line 197, in __init__
expected_shape=expected_shape)
File "/Users/meme/anaconda/envs/py35/lib/python3.5/site-packages/tensorflow/python/ops/variables.py", line 316, in _init_from_args
self._snapshot = array_ops.identity(self._variable, name="read")
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/tensorflow/python/ops/gen_array_ops.py", line 1338, in identity
result = _op_def_lib.apply_op("Identity", input=input, name=name)
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 768, in apply_op
op_def=op_def)
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 2336, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/Users/me/anaconda/envs/py35/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1228, in __init__
self._traceback = _extract_stack()
FailedPreconditionError (see above for traceback): Attempting to use uninitialized value matching_filenames_7
[[Node: matching_filenames_7/read = Identity[T=DT_STRING, _class=["loc:@matching_filenames_7"], _device="/job:localhost/replica:0/task:0/cpu:0"](matching_filenames_7)]]
任何人都可以指出我正确的方向吗？
答案 0 :(得分：0)
立即修复是添加以下行：
sess.run(tf.global_variables_initializer())
...在这一行之前：
threads = tf.train.start_queue_runners(coord=coord)
但是，我想向您展示一种使用tf.contrib.data API（在TensorFlow 1.3中可用，在TensorFlow 1.4中将成为tf.data）编写程序的新方法。 / p>
import tensorflow as tf
filenames = tf.contrib.data.Dataset.list_files('audio_dataset/*.wav')
name_and_content = filenames.map(lambda x: (x, tf.read_file(x))
iterator = name_and_content.make_one_shot_iterator()
filename, file_contents = iterator.get_next()
with tf.Session() as sess:
try:
while True:
audio_file = sess.run(filename)
print(audio_file)
except tf.errors.OutOfRangeError: # Raised when there are no more files.
pass