Python “不推荐使用 type 的同义词；在 numpy 的未来版本中，它将被理解为 (type, (1,)) / '(1,)type'。” TensorFlow 中的问题
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"synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'." problem in TensorFlow
提问by Emilijus052
I installed TensorFlow 1.10.1 but when I tried to import TensorFlow it said that I need TensorFlow version 1.10.0. Thus, I installed it and now I get the following warnings:
我安装了 TensorFlow 1.10.1，但是当我尝试导入 TensorFlow 时，它说我需要 TensorFlow 1.10.0 版。因此，我安装了它，现在我收到以下警告：
>>> import tensorflow
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
采纳答案by Anubhav Singh
It just a warning, not an error. It occurring because your current numpy libray version is not compatible with tensorflow version. You need to downgrade numpy version.
它只是一个警告，而不是一个错误。这是因为您当前的 numpy libray 版本与 tensorflow 版本不兼容。您需要降级 numpy 版本。
tensorflow 1.10.0has requirement numpy<=1.14.5,>=1.13.3, but you must have some higher version installed(this warning message occurs with newest numpy version 1.17.0).
tensorflow 1.10.0有要求numpy<=1.14.5,>=1.13.3，但您必须安装一些更高版本（此警告消息出现在最新的 numpy 版本 1.17.0 中）。
回答by adhg
回答by Chandan Gupta
pip install "numpy<1.17"
To revert to Numpy version 1.16.4
恢复到 Numpy 1.16.4版
回答by hpaulj
The newest numpy release notes (1.17) has:
最新的 numpy 发行说明（1.17）有：
Future Changes
Shape-1 fields in dtypes won't be collapsed to scalars in a future version
Currently, a field specified as [(name, dtype, 1)] or "1type" is interpreted
as a scalar field (i.e., the same as [(name, dtype)] or [(name, dtype, ()]).
This now raises a FutureWarning; in a future version, it will be interpreted
as a shape-(1,) field, i.e. the same as [(name, dtype, (1,))] or "(1,)type"
(consistently with [(name, dtype, n)] / "ntype" with n>1, which is already
equivalent to [(name, dtype, (n,)] / "(n,)type").
https://docs.scipy.org/doc/numpy/release.html
https://docs.scipy.org/doc/numpy/release.html
Thus with your expression:
因此用你的表达：
In [123]: np.dtype([("qint8", np.int8, 1)])
/usr/local/bin/ipython3:1: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
#!/usr/bin/python3
Out[123]: dtype([('qint8', 'i1')])
In [124]: np.dtype([("qint8", np.int8, (1,))])
Out[124]: dtype([('qint8', 'i1', (1,))])
In [125]: np.dtype([("qint8", np.int8)])
Out[125]: dtype([('qint8', 'i1')])
In [126]: np.dtype([("qint8", np.int8, 2)])
Out[126]: dtype([('qint8', 'i1', (2,))])
In [127]: np.__version__
Out[127]: '1.17.0'
回答by Sami_c137
I had the same problem in my linux laptop with tensorflow in python3 v3.6
我的 linux 笔记本电脑在 python3 v3.6 中使用 tensorflow 时遇到了同样的问题
Actually, you just need to change some lines in 2 files :
实际上，您只需要更改 2 个文件中的一些行：
1
~/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py
1
~/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py
in your case :
在你的情况下：
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py
now change this code : (line 516)
现在更改此代码：（第 516 行）
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
# _np_bfloat16 is defined by a module import.
# Custom struct dtype for directly-fed ResourceHandles of supported type(s).
np_resource = np.dtype([("resource", np.ubyte, 1)])
by this code :
通过此代码：
_np_qint8 = np.dtype([("qint8", np.int8, (1,))])
_np_quint8 = np.dtype([("quint8", np.uint8, (1,))])
_np_qint16 = np.dtype([("qint16", np.int16, (1,))])
_np_quint16 = np.dtype([("quint16", np.uint16, (1,))])
_np_qint32 = np.dtype([("qint32", np.int32, (1,))])
# _np_bfloat16 is defined by a module import.
# Custom struct dtype for directly-fed ResourceHandles of supported type(s).
np_resource = np.dtype([("resource", np.ubyte, (1,))])
you have to do the same on this file :
你必须在这个文件上做同样的事情：
2
~/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py
2
~/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py
in your case :
在你的情况下：
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard/compat/tensorflow_stub/dtypes.py
and it will work.
它会起作用。
回答by Amit Rautray
It is happening because of your TensorFlow version is incompatible with numpy. Try reinstalling numpy's previous versions. In my case I tried 1.16.4 : pip install numpy==1.16.4
这是因为您的 TensorFlow 版本与 numpy 不兼容。尝试重新安装 numpy 以前的版本。就我而言，我尝试了 1.16.4 ： pip install numpy==1.16.4
But first, you need to shutdown all running kernals and uninstall numpy with : pip uninstall numpy
但首先，您需要关闭所有正在运行的内核并使用以下命令卸载 numpy：pip uninstall numpy
