我想根据我自己的图像数据集构建一个转话。为此，我首先需要读取我所做的文件：

import tensorflow as tf# Here generating a tensor of type string that include all the filename with png extentionfilename_queue  = tf.train.string_input_producer(tf.train.match_filenames_once("test_png/*.png"))# Initializing a file Readerimage_reader = tf.WholeFileReader()# Here the file all the files mentioned ie filename queue and# returns the  the file name and the pixelvalue in form of a tensor !imageName,imagefile= image_reader.read(filename_queue)image = tf.image.decode_png(imagefile)tf.global_variables_initializer()with tf.Session() as sess:    # Coordinate the loading of image files.    coord = tf.train.Coordinator()    threads = tf.train.start_queue_runners(coord=coord)    # Get an image tensor and print its value.    image_tensor = sess.run([image])    print(image_tensor)    # Finish off the filename queue coordinator.    coord.request_stop()    coord.join(threads)

使事情变得容易： test 文件夹包含 10 png files 命名 1.png 2.png .... 10.png

当我运行代码时，我会得到以下内容：

    INFO:tensorflow:Error reported to Coordinator: <class 'tensorflow.python.framework.errors_impl.FailedPreconditionError'>, Attempting to use uninitialized value matching_filenames     [[Node: matching_filenames/read = Identity[T=DT_STRING, _class=["loc:@matching_filenames"], _device="/job:localhost/replica:0/task:0/cpu:0"](matching_filenames)]]Caused by op 'matching_filenames/read', defined at:  File "c:\users\engine\appdata\local\programs\python\python35\lib\runpy.py", line 184, in _run_module_as_main    "__main__", mod_spec)  File "c:\users\engine\appdata\local\programs\python\python35\lib\runpy.py", line 85, in _run_code    exec(code, run_globals)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\__main__.py", line 3, in <module>    app.launch_new_instance()  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\traitlets\config\application.py", line 658, in launch_instance    app.start()  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\kernelapp.py", line 474, in start    ioloop.IOLoop.instance().start()  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\zmq\eventloop\ioloop.py", line 177, in start    super(ZMQIOLoop, self).start()  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tornado\ioloop.py", line 887, in start    handler_func(fd_obj, events)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper    return fn(*args, **kwargs)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\zmq\eventloop\zmqstream.py", line 440, in _handle_events    self._handle_recv()  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\zmq\eventloop\zmqstream.py", line 472, in _handle_recv    self._run_callback(callback, msg)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\zmq\eventloop\zmqstream.py", line 414, in _run_callback    callback(*args, **kwargs)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper    return fn(*args, **kwargs)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\kernelbase.py", line 276, in dispatcher    return self.dispatch_shell(stream, msg)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\kernelbase.py", line 228, in dispatch_shell    handler(stream, idents, msg)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\kernelbase.py", line 390, in execute_request    user_expressions, allow_stdin)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\ipkernel.py", line 196, in do_execute    res = shell.run_cell(code, store_history=store_history, silent=silent)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\zmqshell.py", line 501, in run_cell    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\IPython\core\interactiveshell.py", line 2717, in run_cell    interactivity=interactivity, compiler=compiler, result=result)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\IPython\core\interactiveshell.py", line 2821, in run_ast_nodes    if self.run_code(code, result):  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\IPython\core\interactiveshell.py", line 2881, in run_code    exec(code_obj, self.user_global_ns, self.user_ns)  File "<ipython-input-1-110a62c88def>", line 3, in <module>    filename_queue  = tf.train.string_input_producer(tf.train.match_filenames_once("test_png/*.png"))  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\training\input.py", line 68, in match_filenames_once    collections=[ops.GraphKeys.LOCAL_VARIABLES])  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\ops\variables.py", line 197, in __init__    expected_shape=expected_shape)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\ops\variables.py", line 316, in _init_from_args    self._snapshot = array_ops.identity(self._variable, name="read")  File "c:\users\engine\appdata\local\programs\python\python35\lib\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 "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 768, in apply_op    op_def=op_def)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\framework\ops.py", line 2336, in create_op    original_op=self._default_original_op, op_def=op_def)  File "c:\users\engine\appdata\local\programs\python\python35\lib\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     [[Node: matching_filenames/read = Identity[T=DT_STRING, _class=["loc:@matching_filenames"], _device="/job:localhost/replica:0/task:0/cpu:0"](matching_filenames)]]---------------------------------------------------------------------------OutOfRangeError                           Traceback (most recent call last)c:\users\engine\appdata\local\programs\python\python35\lib\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:c:\users\engine\appdata\local\programs\python\python35\lib\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 c:\users\engine\appdata\local\programs\python\python35\lib\contextlib.py in __exit__(self, type, value, traceback)     65             try:---> 66                 next(self.gen)     67             except StopIteration:c:\users\engine\appdata\local\programs\python\python35\lib\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:OutOfRangeError: FIFOQueue '_0_input_producer' is closed and has insufficient elements (requested 1, current size 0)     [[Node: ReaderReadV2 = ReaderReadV2[_device="/job:localhost/replica:0/task:0/cpu:0"](WholeFileReaderV2, input_producer)]]During handling of the above exception, another exception occurred:OutOfRangeError                           Traceback (most recent call last)<ipython-input-1-110a62c88def> in <module>()     16      17     # Get an image tensor and print its value.---> 18     image_tensor = sess.run([image])     19     print(image_tensor)     20 c:\users\engine\appdata\local\programs\python\python35\lib\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)c:\users\engine\appdata\local\programs\python\python35\lib\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 = []c:\users\engine\appdata\local\programs\python\python35\lib\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,c:\users\engine\appdata\local\programs\python\python35\lib\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):OutOfRangeError: FIFOQueue '_0_input_producer' is closed and has insufficient elements (requested 1, current size 0)     [[Node: ReaderReadV2 = ReaderReadV2[_device="/job:localhost/replica:0/task:0/cpu:0"](WholeFileReaderV2, input_producer)]]Caused by op 'ReaderReadV2', defined at:  File "c:\users\engine\appdata\local\programs\python\python35\lib\runpy.py", line 184, in _run_module_as_main    "__main__", mod_spec)  File "c:\users\engine\appdata\local\programs\python\python35\lib\runpy.py", line 85, in _run_code    exec(code, run_globals)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\__main__.py", line 3, in <module>    app.launch_new_instance()  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\traitlets\config\application.py", line 658, in launch_instance    app.start()  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\kernelapp.py", line 474, in start    ioloop.IOLoop.instance().start()  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\zmq\eventloop\ioloop.py", line 177, in start    super(ZMQIOLoop, self).start()  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tornado\ioloop.py", line 887, in start    handler_func(fd_obj, events)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper    return fn(*args, **kwargs)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\zmq\eventloop\zmqstream.py", line 440, in _handle_events    self._handle_recv()  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\zmq\eventloop\zmqstream.py", line 472, in _handle_recv    self._run_callback(callback, msg)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\zmq\eventloop\zmqstream.py", line 414, in _run_callback    callback(*args, **kwargs)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper    return fn(*args, **kwargs)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\kernelbase.py", line 276, in dispatcher    return self.dispatch_shell(stream, msg)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\kernelbase.py", line 228, in dispatch_shell    handler(stream, idents, msg)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\kernelbase.py", line 390, in execute_request    user_expressions, allow_stdin)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\ipkernel.py", line 196, in do_execute    res = shell.run_cell(code, store_history=store_history, silent=silent)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\zmqshell.py", line 501, in run_cell    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\IPython\core\interactiveshell.py", line 2717, in run_cell    interactivity=interactivity, compiler=compiler, result=result)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\IPython\core\interactiveshell.py", line 2821, in run_ast_nodes    if self.run_code(code, result):  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\IPython\core\interactiveshell.py", line 2881, in run_code    exec(code_obj, self.user_global_ns, self.user_ns)  File "<ipython-input-1-110a62c88def>", line 9, in <module>    imageName,imagefile= image_reader.read(filename_queue)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\ops\io_ops.py", line 193, in read    return gen_io_ops._reader_read_v2(self._reader_ref, queue_ref, name=name)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\ops\gen_io_ops.py", line 411, in _reader_read_v2    queue_handle=queue_handle, name=name)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 768, in apply_op    op_def=op_def)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\framework\ops.py", line 2336, in create_op    original_op=self._default_original_op, op_def=op_def)  File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\framework\ops.py", line 1228, in __init__    self._traceback = _extract_stack()OutOfRangeError (see above for traceback): FIFOQueue '_0_input_producer' is closed and has insufficient elements (requested 1, current size 0)     [[Node: ReaderReadV2 = ReaderReadV2[_device="/job:localhost/replica:0/task:0/cpu:0"](WholeFileReaderV2, input_producer)]]

老实说，我没有我应该如何解决这个问题？预先感谢您的提示

更新

ujjwal回答后，我的参数 tf.train.string_input_producer 如下：

import tensorflow as tfimport osfiles = os.listdir('test_png')# Here generating a tensor of type string that include all the filename with png extentionfilename_queue  = tf.train.string_input_producer(files)# Initializing a file Readerimage_reader = tf.WholeFileReader()# Here the file all the files mentioned ie filename queue and# returns the  the file name and the pixelvalue in form of a tensor !imageName,imagefile= image_reader.read(filename_queue)image = tf.image.decode_png(imagefile)#tf.global_variables_initializer()with tf.Session() as sess:    tf.global_variables_initializer().run()    # Coordinate the loading of image files.    coord = tf.train.Coordinator()    threads = tf.train.start_queue_runners(coord=coord)    # Get an image tensor and print its value.    image_tensor = sess.run([image])    print(image_tensor)    # Finish off the filename queue coordinator.    coord.request_stop()    coord.join(threads)

现在看来TF可以找到文件，但仍然无法读取它们，这是实际错误消息：

    [Command: python -u D:\Masterarbeit\Tensorflow\Main\convNN\own_DATA.py]2017-06-08 15:12:31.845015: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE instructions, but these are available on your machine and could speed up CPU computations.2017-06-08 15:12:31.845384: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE2 instructions, but these are available on your machine and could speed up CPU computations.2017-06-08 15:12:31.845662: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.2017-06-08 15:12:31.845949: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.2017-06-08 15:12:31.846859: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.2017-06-08 15:12:31.847174: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.2017-06-08 15:12:31.847464: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.2017-06-08 15:12:31.847754: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.Traceback (most recent call last):  File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1039, in _do_call    return fn(*args)  File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1021, in _run_fn    status, run_metadata)  File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\contextlib.py", line 66, in __exit__    next(self.gen)  File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 466, in raise_exception_on_not_ok_status    pywrap_tensorflow.TF_GetCode(status))tensorflow.python.framework.errors_impl.NotFoundError: Can not get size for: 4.png : The system cannot find the file specified.     [[Node: ReaderReadV2 = ReaderReadV2[_device="/job:localhost/replica:0/task:0/cpu:0"](WholeFileReaderV2, input_producer)]]During handling of the above exception, another exception occurred:Traceback (most recent call last):  File "D:\Masterarbeit\Tensorflow\Main\convNN\own_DATA.py", line 22, in <module>    image_tensor = sess.run([image])  File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 778, in run    run_metadata_ptr)  File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 982, in _run    feed_dict_string, options, run_metadata)  File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1032, in _do_run    target_list, options, run_metadata)  File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1052, in _do_call    raise type(e)(node_def, op, message)tensorflow.python.framework.errors_impl.NotFoundError: Can not get size for: 4.png : The system cannot find the file specified.     [[Node: ReaderReadV2 = ReaderReadV2[_device="/job:localhost/replica:0/task:0/cpu:0"](WholeFileReaderV2, input_producer)]]Caused by op 'ReaderReadV2', defined at:  File "D:\Masterarbeit\Tensorflow\Main\convNN\own_DATA.py", line 12, in <module>    imageName,imagefile= image_reader.read(filename_queue)  File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\io_ops.py", line 193, in read    return gen_io_ops._reader_read_v2(self._reader_ref, queue_ref, name=name)  File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\gen_io_ops.py", line 411, in _reader_read_v2    queue_handle=queue_handle, name=name)  File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 768, in apply_op    op_def=op_def)  File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 2336, in create_op    original_op=self._default_original_op, op_def=op_def)  File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 1228, in __init__    self._traceback = _extract_stack()NotFoundError (see above for traceback): Can not get size for: 4.png : The system cannot find the file specified.     [[Node: ReaderReadV2 = ReaderReadV2[_device="/job:localhost/replica:0/task:0/cpu:0"](WholeFileReaderV2, input_producer)]][Finished in 1.972s]

更新

基于ujjwal的答案是我现在正在使用的代码，希望它可以帮助某人：

import tensorflow as tfimport os# list files namefiles = os.listdir("Test_PNG")files = ["Test_PNG/" + s for s in files]files = [os.path.abspath(s) for s in files ]# Here generating a tensor of type string that include all the filename with png extentionfilename_queue  = tf.train.string_input_producer(files)# Initializing a file Readerimage_reader = tf.WholeFileReader()# Here the file all the files mentioned ie filename queue and# returns the  the file name and the pixelvalue in form of a tensor !imageName,imagefile= image_reader.read(filename_queue)image = tf.image.decode_png(imagefile)#tf.global_variables_initializer()with tf.Session() as sess:    tf.global_variables_initializer().run()    # Coordinate the loading of image files.    coord = tf.train.Coordinator()    threads = tf.train.start_queue_runners(coord=coord)    # Get an image tensor and print its value.    image_tensor = sess.run([image])    print(image_tensor)    # Finish off the filename queue coordinator.    coord.request_stop()    coord.join(threads)

看答案