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我试过了我的CSV数据到tfrecords格式并读取tfrecords文件。 但我无法读取tfrecord文件。Tensorflow tfrecords读取错误（CSV转换后的数据）
首先我已将CSV文件转换为tfrecords文件。
我的CSV数据不属于本
1,2,3,4,5,1
2,3,4,5,6,2
3,4,5,6 ，7,3
4,5,6,7,8,4
色谱柱1〜5是特征和第6栏是标签
我采用t转换此CSV文件他的代码
import pandas as pd
import tensorflow as tf
import argparse
import os
import sys
FLAGS = None
name = 'test'
filename = name + '.tfrecords'
print('Writing', filename)
writer = tf.python_io.TFRecordWriter(filename)
for row in csv:
features, label = row[:-1], row[-1]
print(features)
print(label)
example = tf.train.Example()
example.features.feature['features'].int64_list.value.extend(features)
example.features.feature['label'].int64_list.value.append(label)
writer.write(example.SerializeToString())
writer.close()
然后我有一个tfrecords文件。 （test.tfrecords）
我的问题是我无法读取此tfrecords文件。
我曾试过这段代码，并且收到了一条错误消息。
def read_and_decode(filename_queue):
reader = tf.TFRecordReader()
_, serialized_example = reader.read(filename_queue)
features = tf.parse_single_example(
serialized_example,
# Defaults are not specified since both keys are required.
features={
'features': tf.FixedLenFeature([], tf.string),
'label': tf.FixedLenFeature([], tf.int64)
})
image = tf.decode_raw(features['features'], tf.int64)
label = tf.cast(features['label'], tf.int32)
return image, label
def get_all_records(FILE):
with tf.Session() as sess:
filename_queue = tf.train.string_input_producer([ FILE ])
image, label = read_and_decode(filename_queue)
init_op = tf.global_variables_initializer()
sess.run(init_op)
coord = tf.train.Coordinator()
threads = tf.train.start_queue_runners(coord=coord)
for i in range(100):
example, l = sess.run([image, label])
print (example,l)
coord.request_stop()
coord.join(threads)
get_all_records('test.tfrecords')
这是错误消息
INFO:tensorflow:Error reported to Coordinator: <class 'tensorflow.python.framework.errors_impl.CancelledError'>, Run call was cancelled
---------------------------------------------------------------------------
InvalidArgumentError Traceback (most recent call last)
C:\Program Files\Anaconda3\envs\tf\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args)
1021 try:
-> 1022 return fn(*args)
1023 except errors.OpError as e:
C:\Program Files\Anaconda3\envs\tf\lib\site-packages\tensorflow\python\client\session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
1003 feed_dict, fetch_list, target_list,
-> 1004 status, run_metadata)
1005
C:\Program Files\Anaconda3\envs\tf\lib\contextlib.py in __exit__(self, type, value, traceback)
65 try:
---> 66 next(self.gen)
67 except StopIteration:
C:\Program Files\Anaconda3\envs\tf\lib\site-packages\tensorflow\python\framework\errors_impl.py in raise_exception_on_not_ok_status()
468 compat.as_text(pywrap_tensorflow.TF_Message(status)),
--> 469 pywrap_tensorflow.TF_GetCode(status))
470 finally:
InvalidArgumentError: Name: <unknown>, Key: features, Index: 0. Data types don't match. Data type: int64Expected type: string
[[Node: ParseSingleExample/ParseExample/ParseExample = ParseExample[Ndense=2, Nsparse=0, Tdense=[DT_STRING, DT_INT64], dense_shapes=[[], []], sparse_types=[], _device="/job:localhost/replica:0/task:0/cpu:0"](ParseSingleExample/ExpandDims, ParseSingleExample/ParseExample/ParseExample/names, ParseSingleExample/ParseExample/ParseExample/dense_keys_0, ParseSingleExample/ParseExample/ParseExample/dense_keys_1, ParseSingleExample/ParseExample/Const, ParseSingleExample/ParseExample/Const_1)]]
[[Node: ParseSingleExample/ParseExample/ParseExample/_3 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_13_ParseSingleExample/ParseExample/ParseExample", tensor_type=DT_INT64, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
During handling of the above exception, another exception occurred:
InvalidArgumentError Traceback (most recent call last)
<ipython-input-6-0bf78295d664> in <module>()
----> 1 get_all_records('test.tfrecords')
<ipython-input-5-afbcd262993d> in get_all_records(FILE)
8 threads = tf.train.start_queue_runners(coord=coord)
9 for i in range(100):
---> 10 example, l = sess.run([image, label])
11 print (example,l)
12 coord.request_stop()
C:\Program Files\Anaconda3\envs\tf\lib\site-packages\tensorflow\python\client\session.py in run(self, fetches, feed_dict, options, run_metadata)
765 try:
766 result = self._run(None, fetches, feed_dict, options_ptr,
--> 767 run_metadata_ptr)
768 if run_metadata:
769 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
C:\Program Files\Anaconda3\envs\tf\lib\site-packages\tensorflow\python\client\session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
963 if final_fetches or final_targets:
964 results = self._do_run(handle, final_targets, final_fetches,
--> 965 feed_dict_string, options, run_metadata)
966 else:
967 results = []
C:\Program Files\Anaconda3\envs\tf\lib\site-packages\tensorflow\python\client\session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1013 if handle is None:
1014 return self._do_call(_run_fn, self._session, feed_dict, fetch_list,
-> 1015 target_list, options, run_metadata)
1016 else:
1017 return self._do_call(_prun_fn, self._session, handle, feed_dict,
C:\Program Files\Anaconda3\envs\tf\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args)
1033 except KeyError:
1034 pass
-> 1035 raise type(e)(node_def, op, message)
1036
1037 def _extend_graph(self):
InvalidArgumentError: Name: <unknown>, Key: features, Index: 0. Data types don't match. Data type: int64Expected type: string
[[Node: ParseSingleExample/ParseExample/ParseExample = ParseExample[Ndense=2, Nsparse=0, Tdense=[DT_STRING, DT_INT64], dense_shapes=[[], []], sparse_types=[], _device="/job:localhost/replica:0/task:0/cpu:0"](ParseSingleExample/ExpandDims, ParseSingleExample/ParseExample/ParseExample/names, ParseSingleExample/ParseExample/ParseExample/dense_keys_0, ParseSingleExample/ParseExample/ParseExample/dense_keys_1, ParseSingleExample/ParseExample/Const, ParseSingleExample/ParseExample/Const_1)]]
[[Node: ParseSingleExample/ParseExample/ParseExample/_3 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_13_ParseSingleExample/ParseExample/ParseExample", tensor_type=DT_INT64, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
Caused by op 'ParseSingleExample/ParseExample/ParseExample', defined at:
File "C:\Program Files\Anaconda3\envs\tf\lib\runpy.py", line 184, in _run_module_as_main
"__main__", mod_spec)
File "C:\Program Files\Anaconda3\envs\tf\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\ipykernel\__main__.py", line 3, in <module>
app.launch_new_instance()
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\traitlets\config\application.py", line 658, in launch_instance
app.start()
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\ipykernel\kernelapp.py", line 474, in start
ioloop.IOLoop.instance().start()
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\zmq\eventloop\ioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\tornado\ioloop.py", line 887, in start
handler_func(fd_obj, events)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\zmq\eventloop\zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\zmq\eventloop\zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\zmq\eventloop\zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\ipykernel\kernelbase.py", line 276, in dispatcher
return self.dispatch_shell(stream, msg)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\ipykernel\kernelbase.py", line 228, in dispatch_shell
handler(stream, idents, msg)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\ipykernel\kernelbase.py", line 390, in execute_request
user_expressions, allow_stdin)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\ipykernel\ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\ipykernel\zmqshell.py", line 501, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\IPython\core\interactiveshell.py", line 2717, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\IPython\core\interactiveshell.py", line 2827, in run_ast_nodes
if self.run_code(code, result):
File "C:\Program Files\Anaconda3\envs\tf\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-6-0bf78295d664>", line 1, in <module>
get_all_records('test.tfrecords')
File "<ipython-input-5-afbcd262993d>", line 4, in get_all_records
image, label = read_and_decode(filename_queue)
File "<ipython-input-4-a06d5222e475>", line 9, in read_and_decode
'label': tf.FixedLenFeature([], tf.int64)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\tensorflow\python\ops\parsing_ops.py", line 595, in parse_single_example
dense_types, dense_defaults, dense_shapes, name)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\tensorflow\python\ops\parsing_ops.py", line 669, in _parse_single_example_raw
name=name)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\tensorflow\python\ops\parsing_ops.py", line 544, in _parse_example_raw
name=name)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\tensorflow\python\ops\gen_parsing_ops.py", line 167, in _parse_example
dense_shapes=dense_shapes, name=name)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 763, in apply_op
op_def=op_def)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\tensorflow\python\framework\ops.py", line 2395, in create_op
original_op=self._default_original_op, op_def=op_def)
File "C:\Program Files\Anaconda3\envs\tf\lib\site-packages\tensorflow\python\framework\ops.py", line 1264, in __init__
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): Name: <unknown>, Key: features, Index: 0. Data types don't match. Data type: int64Expected type: string
[[Node: ParseSingleExample/ParseExample/ParseExample = ParseExample[Ndense=2, Nsparse=0, Tdense=[DT_STRING, DT_INT64], dense_shapes=[[], []], sparse_types=[], _device="/job:localhost/replica:0/task:0/cpu:0"](ParseSingleExample/ExpandDims, ParseSingleExample/ParseExample/ParseExample/names, ParseSingleExample/ParseExample/ParseExample/dense_keys_0, ParseSingleExample/ParseExample/ParseExample/dense_keys_1, ParseSingleExample/ParseExample/Const, ParseSingleExample/ParseExample/Const_1)]]
[[Node: ParseSingleExample/ParseExample/ParseExample/_3 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_13_ParseSingleExample/ParseExample/ParseExample", tensor_type=DT_INT64, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
什么是错的呢？
example.features.feature['features'].int64_list.value.extend(features)
...而当你尝试读取数据的程序，您可以指定：因为在你写数据的程序，你int64类型创建的"features"功能发生
感谢您的回答。我试过你的解决方案。但仍然有错误消息。我再次写我的代码。你可以帮帮我吗？ –
我认为问题在于（通过我的更改），您将'features ['feature']'（现在是'tf.int64'张量）'传递给'tf.decode_raw（）'（它需要一个字符串） 。正确的解决方案将取决于这些数据代表什么。你可以在没有'tf.decode_raw（）'的情况下执行'image = features ['feature']'...但这取决于你打算如何解释数据。 – mrry