我正在使用conda（通过YAML创建的env）+ pip在我的Linux Mint盒子上设置Tensorflow v1.13.1环境。设置完成后，每当我尝试导入tf.estimator时，我都会收到标题中描述的AttributeError：
AttributeError: module 'tensorflow' has no attribute 'estimator'
tf.estimator就好了。$ conda update -n base -c defaults conda
# >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<
Traceback (most recent call last):
File "/usr/share/anaconda3/lib/python3.7/site-packages/conda/exceptions.py", line 819, in __call__
return func(*args, **kwargs)
File "/usr/share/anaconda3/lib/python3.7/site-packages/conda/cli/main.py", line 78, in _main
exit_code = do_call(args, p)
File "/usr/share/anaconda3/lib/python3.7/site-packages/conda/cli/conda_argparse.py", line 77, in do_call
exit_code = getattr(module, func_name)(args, parser)
File "/usr/share/anaconda3/lib/python3.7/site-packages/conda/cli/main_update.py", line 14, in execute
install(args, parser, 'update')
File "/usr/share/anaconda3/lib/python3.7/site-packages/conda/cli/install.py", line 253, in install
handle_txn(unlink_link_transaction, prefix, args, newenv)
File "/usr/share/anaconda3/lib/python3.7/site-packages/conda/cli/install.py", line 282, in handle_txn
unlink_link_transaction.execute()
File "/usr/share/anaconda3/lib/python3.7/site-packages/conda/core/link.py", line 223, in execute
self.verify()
File "/usr/share/anaconda3/lib/python3.7/site-packages/conda/common/io.py", line 46, in decorated
return f(*args, **kwds)
File "/usr/share/anaconda3/lib/python3.7/site-packages/conda/core/link.py", line 200, in verify
self.prepare()
File "/usr/share/anaconda3/lib/python3.7/site-packages/conda/core/link.py", line 192, in prepare
stp.remove_specs, stp.update_specs)
File "/usr/share/anaconda3/lib/python3.7/site-packages/conda/core/link.py", line 282, in _prepare
mkdir_p(transaction_context['temp_dir'])
File "/usr/share/anaconda3/lib/python3.7/site-packages/conda/gateways/disk/__init__.py", line 60, in mkdir_p
makedirs(path)
File "/usr/share/anaconda3/lib/python3.7/os.py", line 221, in makedirs
mkdir(name, mode)
PermissionError: [Errno 13] Permission denied: '/usr/share/anaconda3/.condatmp'
yml文件如下所示：
dependencies:
- python
- numpy
- tensorflow
- cudatoolkit==9.0
...
从有问题的环境内部：
$ conda list tensorflow # packages in environment at /home/cjs/.conda/envs/my-env:
#
# Name Version Build Channel
tensorflow 1.13.1 mkl_py37h54b294f_0
tensorflow-base 1.13.1 mkl_py37h7ce6ba3_0
tensorflow-estimator 1.13.0 py_0
$ pip list | grep tensorflow tensorflow 1.13.1
tensorflow-estimator 1.13.0
$ which pip /home/cjs/.conda/envs/my-env/bin/pip
$ conda --version conda 4.5.11
$ pip --version pip 19.0.3 from /home/cjs/.local/lib/python3.7/site-packages/pip (python 3.7)
以下是该问题的最小示例。如您所见，这只发生在调用tf.estimator的地方，所有其他Tensorflow属性都按预期运行：
Python 3.7.3 (default, Mar 27 2019, 22:11:17)
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> tf.__version__
'1.13.1'
>>> tf.estimator
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: module 'tensorflow' has no attribute 'estimator'
>>> tf.estimator.Estimator()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: module 'tensorflow' has no attribute 'estimator'
>>> from tensorflow import estimator
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: cannot import name 'estimator' from 'tensorflow' (/home/cjs/.conda/envs/my-env/lib/python3.7/site-packages/tensorflow/__init__.py)
>>> tf.Variable
<class 'tensorflow.python.ops.variables.VariableV1'>
>>> tf.keras
<module 'tensorflow._api.v1.keras' from '/home/cjs/.conda/envs/my-env/lib/python3.7/site-packages/tensorflow/_api/v1/keras/__init__.py'>
>>> tf.constant
<function constant_v1 at 0x7fb25ea24950>
根据https://docs.nvidia.com/deploy/cuda-compatibility/index.html#binary-compatibility__table-toolkit-driver，我能够发现我的nvidia驱动程序和cudatoolkit版本不同步（390.46 vs 9.0）。
我现在已经将我的NVIDIA驱动程序更新到v418，并且能够将我的conda版本更新到4.16.14。我将上面显示的environment.yml更新为cudatoolkit==10.1，但我似乎无法弄清楚如何实际安装它。
我的numba -s输出包括这一部分，这让我觉得从头开始的整个问题是cuda没有找到我的GPU（或者无法连接到它？）。
__CUDA Information__
Error: CUDA device intialisation problem. Message:Error at driver init:
[100] Call to cuInit results in CUDA_ERROR_NO_DEVICE:
Error class: <class 'numba.cuda.cudadrv.error.CudaSupportError'>
能够确定numba问题的原因是我更新GPU驱动程序后没有重启（duh）。
尽管如此，并没有彻底摆脱困境。新问题如下：
__CUDA Information__
Found 1 CUDA devices
id 0 b'Quadro K620' [SUPPORTED]
compute capability: 5.0
pci device id: 0
pci bus id: 1
Summary:
1/1 devices are supported
CUDA driver version : 10010
CUDA libraries:
Finding cublas
ERROR: can't locate lib
Finding cusparse
ERROR: can't locate lib
Finding cufft
ERROR: can't locate lib
Finding curand
ERROR: can't locate lib
Finding nvvm
ERROR: can't locate lib
finding libdevice for compute_20... ERROR: can't open libdevice for compute_20
finding libdevice for compute_30... ERROR: can't open libdevice for compute_30
finding libdevice for compute_35... ERROR: can't open libdevice for compute_35
finding libdevice for compute_50... ERROR: can't open libdevice for compute_50
终于找到了问题。我还安装了一些本地（非Conda）Tensorflow软件包，我认为这些软件包在python环境中具有更高的优先级。
这个链接解决了我的问题：https://github.com/tensorflow/tensorboard/issues/2067
- 卸载tensorflow，tensorboard
- tb-nightly卸载（如果已安装）
- 使用“pip freeze | grep tensorflow”检查是否已安装tensorflow-estimator包。如果是这样，请将其卸载。
- 转到site-packages并删除与tensorflow，tensorboard，tensorflow-estimator等相关的所有tensorflow文件夹
- 重新安装tensorflow和tensorboard的最新版本
我的问题的关键是sitepackages，可以在BOTH找到
~/.conda/envs/<my-env>/lib/python3.<xx>/site-packages~/.local/lib/python3.<xx>/site-packages<my-env>是你的conda环境，<xx>是你的python版本。
只需rm -r <path to package> ~/.local/库中的每个tensorflow包并重新安装conda环境。