i am trying to retrain a model with tensorflow. I used the code from Tensorflow Models while following a Tutorial on Youtube. The process ends with the following error:
File "C:\Users\Jeff\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\util\compat.py", line 109, in as_text return bytes_or_text.decode(encoding) UnicodeDecodeError: 'utf-8' codec can't decode byte 0xd3 in position 9: invalid continuation byte
The Error happens to be in the following script compat.py in the highlighted line in the method "as_text":
def as_text(bytes_or_text, encoding='utf-8'):
if isinstance(bytes_or_text, _six.text_type):
return bytes_or_text
elif isinstance(bytes_or_text, bytes):
**return bytes_or_text.decode(encoding)**
else:
raise TypeError('Expected binary or unicode string, got %r' % bytes_or_text)
I googled for hours but couldn't find anything. I tried different pre-trained models and startet the installation and training configuration all over again. I am out of ideas and hope someone can help me here.
Can anybody tell me, what i can do to make it work? Thanks in advance!
Here the whole script compat.py :
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Compatibility functions.
The `tf.compat` module contains two sets of compatibility functions.
## Tensorflow 1.x and 2.x APIs
The `compat.v1` and `compat.v2` submodules provide a complete copy of both the
`v1` and `v2` APIs for backwards and forwards compatibility across TensorFlow
versions 1.x and 2.x. See the
[migration guide](https://www.tensorflow.org/guide/migrate) for details.
## Utilities for writing compatible code
Aside from the `compat.v1` and `compat.v2` submodules, `tf.compat` also contains
a set of helper functions for writing code that works in both:
* TensorFlow 1.x and 2.x
* Python 2 and 3
## Type collections
The compatibility module also provides the following aliases for common
sets of python types:
* `bytes_or_text_types`
* `complex_types`
* `integral_types`
* `real_types`
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numbers as _numbers
import numpy as _np
import six as _six
from tensorflow.python.util.tf_export import tf_export
try:
# This import only works on python 3.3 and above.
import collections.abc as collections_abc # pylint: disable=unused-import
except ImportError:
import collections as collections_abc # pylint: disable=unused-import
def as_bytes(bytes_or_text, encoding='utf-8'):
"""Converts `bytearray`, `bytes`, or unicode python input types to `bytes`.
Uses utf-8 encoding for text by default.
Args:
bytes_or_text: A `bytearray`, `bytes`, `str`, or `unicode` object.
encoding: A string indicating the charset for encoding unicode.
Returns:
A `bytes` object.
Raises:
TypeError: If `bytes_or_text` is not a binary or unicode string.
"""
if isinstance(bytes_or_text, bytearray):
return bytes(bytes_or_text)
elif isinstance(bytes_or_text, _six.text_type):
return bytes_or_text.encode(encoding)
elif isinstance(bytes_or_text, bytes):
return bytes_or_text
else:
raise TypeError('Expected binary or unicode string, got %r' %
(bytes_or_text,))
def as_text(bytes_or_text, encoding='utf-8'):
"""Converts any string-like python input types to unicode.
Returns the input as a unicode string. Uses utf-8 encoding for text
by default.
Args:
bytes_or_text: A `bytes`, `str`, or `unicode` object.
encoding: A string indicating the charset for decoding unicode.
Returns:
A `unicode` (Python 2) or `str` (Python 3) object.
Raises:
TypeError: If `bytes_or_text` is not a binary or unicode string.
"""
if isinstance(bytes_or_text, _six.text_type):
return bytes_or_text
elif isinstance(bytes_or_text, bytes):
return bytes_or_text.decode(encoding)
else:
raise TypeError('Expected binary or unicode string, got %r' % bytes_or_text)
def as_str(bytes_or_text, encoding='utf-8'):
if _six.PY2:
return as_bytes(bytes_or_text, encoding)
else:
return as_text(bytes_or_text, encoding)
tf_export('compat.as_text')(as_text)
tf_export('compat.as_bytes')(as_bytes)
tf_export('compat.as_str')(as_str)
@tf_export('compat.as_str_any')
def as_str_any(value):
"""Converts input to `str` type.
Uses `str(value)`, except for `bytes` typed inputs, which are converted
using `as_str`.
Args:
value: A object that can be converted to `str`.
Returns:
A `str` object.
"""
if isinstance(value, bytes):
return as_str(value)
else:
return str(value)
@tf_export('compat.path_to_str')
def path_to_str(path):
r"""Converts input which is a `PathLike` object to `str` type.
Converts from any python constant representation of a `PathLike` object to
a string. If the input is not a `PathLike` object, simply returns the input.
Args:
path: An object that can be converted to path representation.
Returns:
A `str` object.
Usage:
In case a simplified `str` version of the path is needed from an
`os.PathLike` object
Examples:
```python
$ tf.compat.path_to_str('C:\XYZ\tensorflow\./.././tensorflow')
'C:\XYZ\tensorflow\./.././tensorflow' # Windows OS
$ tf.compat.path_to_str(Path('C:\XYZ\tensorflow\./.././tensorflow'))
'C:\XYZ\tensorflow\..\tensorflow' # Windows OS
$ tf.compat.path_to_str(Path('./corpus'))
'corpus' # Linux OS
$ tf.compat.path_to_str('./.././Corpus')
'./.././Corpus' # Linux OS
$ tf.compat.path_to_str(Path('./.././Corpus'))
'../Corpus' # Linux OS
$ tf.compat.path_to_str(Path('./..////../'))
'../..' # Linux OS
```
"""
if hasattr(path, '__fspath__'):
path = as_str_any(path.__fspath__())
return path
def path_to_bytes(path):
r"""Converts input which is a `PathLike` object to `bytes`.
Converts from any python constant representation of a `PathLike` object
or `str` to bytes.
Args:
path: An object that can be converted to path representation.
Returns:
A `bytes` object.
Usage:
In case a simplified `bytes` version of the path is needed from an
`os.PathLike` object
"""
if hasattr(path, '__fspath__'):
path = path.__fspath__()
return as_bytes(path)
# Numpy 1.8 scalars don't inherit from numbers.Integral in Python 3, so we
# need to check them specifically. The same goes from Real and Complex.
integral_types = (_numbers.Integral, _np.integer)
tf_export('compat.integral_types').export_constant(__name__, 'integral_types')
real_types = (_numbers.Real, _np.integer, _np.floating)
tf_export('compat.real_types').export_constant(__name__, 'real_types')
complex_types = (_numbers.Complex, _np.number)
tf_export('compat.complex_types').export_constant(__name__, 'complex_types')
# Either bytes or text.
bytes_or_text_types = (bytes, _six.text_type)
tf_export('compat.bytes_or_text_types').export_constant(__name__,
'bytes_or_text_types')
