Tensorflow tfrecords读取错误(CSV转换数据)
我已尝试将CSV数据转换为tfrecords格式并读取tfrecords文件。 但我无法读取tfrecord文件 首先,我已将CSV文件转换为tfrecords文件 我的CSV数据如下 1,2,3,4,5,1 2,3,4,5,6,2 3,4,5,6,7,3 4,5,6,7,8,4 第1~5列为特征,第6列为标签 我用这个代码转换了这个CSV文件Tensorflow tfrecords读取错误(CSV转换数据),csv,tensorflow,record,Csv,Tensorflow,Record,我已尝试将CSV数据转换为tfrecords格式并读取tfrecords文件。 但我无法读取tfrecord文件 首先,我已将CSV文件转换为tfrecords文件 我的CSV数据如下 1,2,3,4,5,1 2,3,4,5,6,2 3,4,5,6,7,3 4,5,6,7,8,4 第1~5列为特征,第6列为标签 我用这个代码转换了这个CSV文件 import pandas as pd import tensorflow as tf import argparse import os import
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()
然后我得到了一个TF记录文件。(测试记录)
我的问题是我无法读取此tfrecords文件
我尝试了这个代码,但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')
这是一条错误消息
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"]()]]
信息:tensorflow:向协调员报告了错误:,运行调用已取消
---------------------------------------------------------------------------
InvalidArgumentError回溯(最后一次最近调用)
C:\Program Files\Anaconda3\envs\tf\lib\site packages\tensorflow\python\client\session.py in\u do\u call(self,fn,*args)
1021请尝试:
->1022返回fn(*args)
1023除错误外。操作错误为e:
C:\Program Files\Anaconda3\envs\tf\lib\site packages\tensorflow\python\client\session.py in\u run\fn(会话、提要、获取列表、目标列表、选项、运行元数据)
1003进货目录、进货目录、目标目录、,
->1004状态,运行(元数据)
1005
C:\Program Files\Anaconda3\envs\tf\lib\contextlib.py in\uuuuuuu exit\uuuuuuu(self、type、value、traceback)
65尝试:
--->66下一个(self.gen)
67除停止迭代外:
C:\Program Files\Anaconda3\envs\tf\lib\site packages\tensorflow\python\framework\errors\u impl.py in raise\u exception\u on\u not\u ok\u status()
468兼容as_文本(pywrap_tensorflow.TF_消息(状态)),
-->469 pywrap_tensorflow.TF_GetCode(状态))
470最后:
InvalidArgumentError:名称:,键:功能,索引:0。数据类型不匹配。数据类型:Int64预期类型:字符串
[[Node:ParseSingleExample/ParseExample/ParseExample=ParseExample[Ndense=2,Nsparse=0,Tdense=[DT_字符串,DT_INT64],稠密_形状=[],[],[],[sparse_类型=[],[U设备=“/job:localhost/replica:0/任务:0/cpu:0”](ParseSingleExample/ExpandDims、ParseSingleExample/ParseExample/names、ParseSingleExample/ParseExample/dense_keys_0、ParseSingleExample/ParseExample/ParseExample/dense_keys_1、ParseSingleExample/ParseExample/Const、ParseSingleExample/ParseExample/ParseExample/Const_1)]]
[[Node:ParseSingleExample/ParseExample/ParseExample/\u 3=\u Recv[client\u terminated=false,Recv\u device=“/job:localhost/replica:0/gpu:0/task:localhost/replica:0/task:0/cpu:0”,send\u device\u化身=1,tensor\u name=“edge\u 13\ParseSingleExample/ParseExample/ParseExample/ParseExample”,tensor\u type=DT\u INT64,\u device=“/job:localhost/replica:0/task:0/gpu:0”]()]]
在处理上述异常期间,发生了另一个异常:
InvalidArgumentError回溯(最后一次最近调用)
在()
---->1获取所有记录(“test.tfrecords”)
在获取所有记录(文件)中
8个线程=tf.训练.启动\u队列\u跑步者(协调=协调)
范围(100)内的i为9:
--->10示例,l=sess.run([image,label])
11打印(示例,l)
12合作请求停止()
C:\Program Files\Anaconda3\envs\tf\lib\site packages\tensorflow\python\client\session.py正在运行(self、fetches、feed\u dict、options、run\u元数据)
765试试:
766结果=self.\u运行(无、获取、馈送、选项、,
-->767运行(元数据)
768如果运行\u元数据:
769 proto_data=tf_session.tf_GetBuffer(运行元数据ptr)
C:\Program Files\Anaconda3\envs\tf\lib\site packages\tensorflow\python\client\session.py in\u run(self、handle、fetches、feed\u dict、options、run\u元数据)
963如果最终用户获取或最终用户目标:
964 results=self.\u do\u run(句柄、最终目标、最终获取、,
-->965提要(文本字符串、选项、运行元数据)
966其他:
967结果=[]
C:\Program Files\Anaconda3\envs\tf\lib\site packages\tensorflow\python\client\session.py in\u do\u run(self、handle、target\u list、fetch\u list、feed\u dict、options、run\u元数据)
1013如果句柄为“无”:
1014返回self.\u do\u调用(\u run\u fn,self.\u会话,feed\u dict,fetch\u list,
->1015目标\u列表、选项、运行\u元数据)
1016其他:
1017返回self.\u do.\u调用(\u prun\u fn,self.\u会话,句柄,提要\u dict,
C:\Program Files\Anaconda3\envs\tf\lib\site packages\tensorflow\python\client\session.py in\u do\u call(self,fn,*args)
1033除键错误外:
1034通行证
->1035提升类型(e)(节点定义、操作、消息)
1036
1037定义扩展图(自):
InvalidArgumentError:名称:,键:功能,索引:0。数据类型不匹配。数据类型:Int64预期类型:字符串
[[Node:ParseSingleExample/ParseExample/ParseExample=ParseExample[Ndense=2,Nsparse=0,Tdense=[DT_字符串,DT_INT64],稠密_形状=[],[],[],[sparse_类型=[],[U设备=“/job:localhost/replica:0/任务:0/cpu:0”](ParseSingleExample/ExpandDims、ParseSingleExample/ParseExample/names、ParseSingleExample/ParseExample/dense_keys_0、ParseSingleExample/ParseExample/ParseExample/dense_keys_1、ParseSingleExample/ParseExample/Const、ParseSingleExample/ParseExample/ParseExample/Const_1)]]
[[Node:ParseSingleExample/ParseExample/ParseExample/\u 3=\u Recv[client\u terminated=false,Recv\u device=“/job:localhost/replica:0/gpu:0/task:localhost/replica:0/task:0/cpu:0”,send\u device\u化身=1,tensor\u name=“edge\u 13\ParseSingleExample/ParseExample/ParseExample/ParseExample”,tensor\u type=DT\u INT64,\u device=”/作业:本地主机/副本:0/任务:0/gpu:0“]()]]
由op“ParseSingleExample/ParseExample/ParseExample”引起,定义于:
文件“C:\Program Files\Anaconda3\envs\tf\lib\runpy.py”,第184行,位于作为主模块的运行模块中
“\uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu
文件“C:\Progr”
example.features.feature['features'].int64_list.value.extend(features)
features = tf.parse_single_example(
...
features={
'features': tf.FixedLenFeature([], tf.string),
...
})
features = tf.parse_single_example(
serialized_example,
features={
'features': tf.FixedLenFeature([], tf.int64),
'label': tf.FixedLenFeature([], tf.int64)
})