我有一个tensorflow-gpu 1.13.1的Anaconda环境设置。它在Anaconda Powershell中运行良好，当我在环境文件夹中调用python.exe时，它运行良好，例如：
...\AppData\Local\Continuum\anaconda3\envs\tensorflow113\python.exe myscript.py
此后，我创建了一个新环境，在其中安装了tensorflow-gpu 1.15版（并且我也尝试过1.14版）。这在Anaconda Powershell中运行良好，但是当我尝试从此环境文件夹运行python.exe时，它将引发导入dll错误。我需要它在不使用Anaconda Powershell的情况下工作。
我已经通过Google进行了爬网，通常可以通过更改一些路径变量或移动文件来修复一个dll错误，但是我只是遇到另一个dll导入错误，这只是在避免而不是修复问题。
我能想到的一件事是，我还在环境中安装了imutils和pyzmq，我想我现在正在从不同的地方（从anaconda forge）获得它们。
示例dll错误：
Traceback (most recent call last):
File "F:/Unity/Projects/Particle/Assets/DEW/PythonDetection/PythonTensorflow.py", line 1, in <module>
from imutils.video import VideoStream
File "C:\Users\<user>\AppData\Local\Continuum\anaconda3\envs\Waterfall\lib\site-packages\imutils\__init__.py", line 8, in <module>
from .convenience import translate
File "C:\Users\<user>\AppData\Local\Continuum\anaconda3\envs\Waterfall\lib\site-packages\imutils\convenience.py", line 6, in <module>
import cv2
ImportError: DLL load failed: The specified module could not be found.
“修复” dll导入错误后出现错误：
2020-01-07 13:24:15.330786: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_100.dll'; dlerror: cudart64_100.dll not found
2020-01-07 13:24:15.331097: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Segmentation fault
我导入的工作tensorflow 1.13.0：
# Name Version Build Channel
_tflow_select 2.1.0 gpu
absl-py 0.7.1 py36_0
astor 0.7.1 py36_0
autopep8 1.4.4 pypi_0 pypi
blas 1.0 mkl
ca-certificates 2019.3.9 hecc5488_0 conda-forge
certifi 2019.3.9 py36_0 conda-forge
clangdev 8.0.0 h1ad3211_2 conda-forge
cudatoolkit 10.0.130 0
cudnn 7.3.1 cuda10.0_0
gast 0.2.2 py36_0
grpcio 1.16.1 py36h351948d_1
h5py 2.9.0 py36h5e291fa_0
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha66f8fd_1
imutils 0.4.6 py36_0 pjamesjoyce
intel-openmp 2019.3 203
jpeg 9b hb83a4c4_2
keras-applications 1.0.7 py_0
keras-preprocessing 1.0.9 py_0
libiconv 1.15 hfa6e2cd_1005 conda-forge
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.7.1 h7bd577a_0
libsodium 1.0.16 h9d3ae62_0 anaconda
libtiff 4.0.10 hb898794_2
libxml2 2.9.9 h9ce36c8_0 conda-forge
libxslt 1.1.32 heafd4d3_1002 conda-forge
llvmdev 8.0.0 h1ad3211_1 conda-forge
markdown 3.1 py36_0
mkl 2019.3 203
mkl_fft 1.0.12 py36h14836fe_0
mkl_random 1.0.2 py36h343c172_0
mock 2.0.0 py36h9086845_0
numpy 1.16.3 py36h19fb1c0_0
numpy-base 1.16.3 py36hc3f5095_0
opencv 3.3.1 py36h20b85fd_1
openssl 1.1.1b hfa6e2cd_2 conda-forge
pbr 5.1.3 py_0
pip 19.1.1 py36_0
protobuf 3.7.1 py36h33f27b4_0
pycodestyle 2.5.0 pypi_0 pypi
pyreadline 2.1 py36_1
pyside2 5.9.0a1 py36h0555040_0 conda-forge
python 3.6.8 h9f7ef89_7
pyzmq 18.0.0 py36ha925a31_0 anaconda
qt 5.9.7 vc14h73c81de_0
scipy 1.2.1 py36h29ff71c_0
setuptools 41.0.1 py36_0
six 1.12.0 py36_0
sqlite 3.28.0 he774522_0
tensorboard 1.13.1 py36h33f27b4_0
tensorflow 1.13.1 gpu_py36h9006a92_0
tensorflow-base 1.13.1 gpu_py36h871c8ca_0
tensorflow-estimator 1.13.0 py_0
tensorflow-gpu 1.13.1 h0d30ee6_0
termcolor 1.1.0 py36_1
vc 14.1 h21ff451_3 anaconda
vs2015_runtime 15.5.2 3 anaconda
werkzeug 0.15.2 py_0
wheel 0.33.4 py36_0
wincertstore 0.2 py36h7fe50ca_0
xz 5.2.4 h2fa13f4_4
zeromq 4.3.1 h33f27b4_3 anaconda
zlib 1.2.11 h62dcd97_3
zstd 1.3.7 h508b16e_0
我针对失败的tensorflow 1.14.0版本的导入：
# Name Version Build Channel
_tflow_select 2.1.0 gpu
absl-py 0.8.1 py37_0
astor 0.8.0 py37_0
blas 1.0 mkl
ca-certificates 2019.11.27 0 anaconda
certifi 2019.11.28 py37_0 anaconda
cudatoolkit 10.0.130 0
cudnn 7.6.5 cuda10.0_0
cycler 0.10.0 py_2 conda-forge
freetype 2.10.0 h563cfd7_1 conda-forge
gast 0.3.2 py_0
grpcio 1.16.1 py37h351948d_1
h5py 2.9.0 py37h5e291fa_0
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
icu 64.2 he025d50_1 conda-forge
imutils 0.5.3 py37_0 conda-forge
intel-openmp 2019.4 245
jpeg 9c hfa6e2cd_1001 conda-forge
keras-applications 1.0.8 py_0
keras-preprocessing 1.1.0 py_1
kiwisolver 1.1.0 py37he980bc4_0 conda-forge
libblas 3.8.0 14_mkl conda-forge
libcblas 3.8.0 14_mkl conda-forge
libclang 9.0.1 default_hf44288c_0 conda-forge
liblapack 3.8.0 14_mkl conda-forge
liblapacke 3.8.0 14_mkl conda-forge
libopencv 4.2.0 py37_0 conda-forge
libpng 1.6.37 h7602738_0 conda-forge
libprotobuf 3.11.2 h7bd577a_0
libsodium 1.0.16 h9d3ae62_0 anaconda
libtiff 4.1.0 h21b02b4_3 conda-forge
libwebp 1.0.2 hfa6e2cd_5 conda-forge
lz4-c 1.8.3 he025d50_1001 conda-forge
markdown 3.1.1 py37_0
matplotlib 3.1.2 py37_1 conda-forge
matplotlib-base 3.1.2 py37h2981e6d_1 conda-forge
mkl 2019.4 245
mkl-service 2.3.0 py37hb782905_0
mkl_fft 1.0.15 py37h14836fe_0
mkl_random 1.1.0 py37h675688f_0
numpy 1.17.4 py37h4320e6b_0
numpy-base 1.17.4 py37hc3f5095_0
opencv 4.2.0 py37_0 conda-forge
openssl 1.1.1 he774522_0 anaconda
pip 19.3.1 py37_0
protobuf 3.11.2 py37h33f27b4_0
py-opencv 4.2.0 py37h5ca1d4c_0 conda-forge
pyparsing 2.4.6 py_0 conda-forge
pyqt 5.12.3 py37h6538335_1 conda-forge
pyqt5-sip 4.19.18 pypi_0 pypi
pyqtwebengine 5.12.1 pypi_0 pypi
pyreadline 2.1 py37_1
python 3.7.5 h8c8aaf0_0
python-dateutil 2.8.1 py_0 conda-forge
pyzmq 18.1.0 py37ha925a31_0 anaconda
qt 5.12.5 h7ef1ec2_0 conda-forge
scipy 1.3.2 py37h29ff71c_0
setuptools 44.0.0 py37_0
six 1.13.0 py37_0
sqlite 3.30.1 he774522_0
tensorboard 1.14.0 py37he3c9ec2_0
tensorflow 1.14.0 gpu_py37h5512b17_0
tensorflow-base 1.14.0 gpu_py37h55fc52a_0
tensorflow-estimator 1.14.0 py_0
tensorflow-gpu 1.14.0 h0d30ee6_0
termcolor 1.1.0 py37_1
tornado 6.0.3 py37hfa6e2cd_0 conda-forge
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_1
werkzeug 0.16.0 py_0
wheel 0.33.6 py37_0
wincertstore 0.2 py37_0
wrapt 1.11.2 py37he774522_0
xz 5.2.4 h2fa13f4_1001 conda-forge
zeromq 4.3.1 h33f27b4_3 anaconda
zlib 1.2.11 h62dcd97_3
zstd 1.4.4 hd8a0e53_1 conda-forge