'utf-8' codec can't decode byte 0xa3 in position 0: invalid start byte

[janesunflower]

Traceback (most recent call last): File "E:\python2.7\pycharm\PyCharm 4.5.5\helpers\pydev\pydevd.py", line 2358, in globals = debugger.run(setup['file'], None, None, is_module) File "E:\python2.7\pycharm\PyCharm 4.5.5\helpers\pydev\pydevd.py", line 1778, in run pydev_imports.execfile(file, globals, locals) # execute the script File "E:\python2.7\pycharm\PyCharm 4.5.5\helpers\pydev_pydev_imps_pydev_execfile.py", line 18, in execfile exec(compile(contents+"\n", file, 'exec'), glob, loc) File "ChineseNER-master/main.py", line 225, in tf.app.run(main) File "tensorflow\lib\site-packages\tensorflow\python\platform\app.py", line 48, in run _sys.exit(main(_sys.argv[:1] + flags_passthrough)) File "ChineseNER-master/main.py", line 219, in main train() File "ChineseNER-master/main.py", line 185, in train best = evaluate(sess, model, "dev", dev_manager, id_to_tag, logger) File "ChineseNER-master/main.py", line 85, in evaluate eval_lines = test_ner(ner_results, FLAGS.result_path) File "ChineseNER-master\utils.py", line 66, in test_ner eval_lines = return_report(output_file) File "ChineseNER-master\conlleval.py", line 282, in return_report counts = evaluate(f) File "ChineseNER-master\conlleval.py", line 74, in evaluate for line in iterable: File "tensorflow\lib\codecs.py", line 713, in next return next(self.reader) File "tensorflow\lib\codecs.py", line 644, in next line = self.readline() File "tensorflow\lib\codecs.py", line 557, in readline data = self.read(readsize, firstline=True) File "tensorflow\lib\codecs.py", line 501, in read newchars, decodedbytes = self.decode(data, self.errors) UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa3 in position 0: invalid start byte

我的是tensorflow 1.3版本，请问下大家有没有遇到类似问题？有何解决方法。

[lengxia]

请问你解决了吗？

[janesunflower]

还没有，悲剧。

[yyHaker]

What's wrong with it？My tensorflow is 1.4.

[yyHaker]

I found this question can be solved as below:

in utils.py change as follows:

def test_ner(results, path): """ Run perl script to evaluate model """ output_file = os.path.join(path, "ner_predict.utf8") with open(output_file, "w", encoding='utf8') as f: to_write = [] for block in results: for line in block: to_write.append(line + "\n") to_write.append("\n") f.writelines(to_write) eval_lines = return_report(output_file) return eval_lines

The reason is that only when you write the file use "utf8" can you open the file use "utf8", and it have nothing to do with the tensorflow version.

[lengxia]

@yyHaker ,good job, it help me solved this problem,thanks

[ylwctyt]

UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa3 in position 0: invalid start byte

2018-02-02 12:08:27,160 - log\train.log - INFO - iteration:1 step:1000/1044, NER loss: 5.380470 2018-02-02 12:08:36,132 - log\train.log - INFO - evaluate:dev Traceback (most recent call last): 运行到这还是那个编码问题，你们遇到了吗？

[yyHaker]

This is still the encoding problem, you can debug to find the encoding problem

[SanSLee]

@yyHaker Thanks!

[LiXuanming]

This is a encoding problem. If you coding in Linux ,please trans the coding by Notepad++.But ,if you coding in Windows ,Please use this : import codecs with codecs.open(filename, 'r', 'utf-8') as f:

this is your process

[ghost]

it is very easy. You just need to change the 'utf-8' to 'gbk' in the 'return_report' of 'utils.py'.