ArcGIS Pro 克隆clone python环境报错问题处理方法
（一）安装arcpro和深度学习安装包
首先安装arcgis pro桌面版和深度学习安装包后
然后克隆默认 Python 环境 arcgispro-py3
接下来，安装以下 Python 软件包：Tensorflow、fast.ai、Keras、Pytorch、Scikit-image、Pillow 和 Libtiff。
切记要安装以下安装步骤中指示的这些软件包的特定版本。
工具仅适用于这些特定版本。
安装软件包后，可以交换 ArcGIS Pro 环境并使用工具
（二）克隆clone python环境报错问题处理方法
(方法一)使用管理员身份运行arcgis pro后再clone环境
并且不要打开任何工程，或新建工程。启动后直接在包管理器中创建新环境即可
(方法二)直接复制原来的目录到另一个路径，并将其改名为arcgispro-py3-clone
C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3
copy拷贝到
D:\arcgispro_ai\arcgispro-py3-clone
然后重新打开arcpro中包管理器/环境管理器/添加现在环境
D:\arcgispro_ai\arcgispro-py3-clone
激活后就可以使用了
(方法三)克隆后的环境少哪个文件，给他添加哪个文件
网络的原因引起的；
解决方案：
1、网络网卡禁用后、再启用方法
2、更换网络在从新尝试；
3、换成手机热点在从新尝试。
4、上述错误的主要是因为需要从这个链接，clone下载包程序，
然后进行配置环境：https://conda.anaconda.org/esri/win-64
解决办法：手动下载对应错误链接，然后用下面的conda链接进行安装
最终建议：更新手机热点；亲测有用。
例：
#conda install ***.tar.bz2
#比如安装arcgis-1.5.3模块
#conda install arcgis-1.5.3-py36h39e3cac_1.tar.bz2
python
activate arcgispro-py3-clone
conda install tensorflow-gpu=1.14.0
conda install keras-gpu=2.2.4
conda install scikit-image=0.15.0
conda install Pillow=6.1.0
conda install fastai=1.0.54
conda install pytorch=1.1.0
conda install libtiff=4.0.10 --no-deps
proswap arcgispro-py3-clone(方法四) cmd手动命令行方式克隆环境
以管理员身份运行cmd命令行后执行以下命令
conda create --name arcgispro-py3-clone --clone arcgispro-py3
#arcpro2.5版本安装
python
activate arcgispro-py3-clone
conda install tensorflow-gpu=1.14.0
conda install keras-gpu=2.2.4
conda install scikit-image=0.15.0
conda install Pillow=6.1.0
conda install fastai=1.0.54
conda install pytorch=1.1.0
conda install libtiff=4.0.10 --no-deps
proswap arcgispro-py3-clone#arcpro3.0.2版本安装(python3.9.11)
python
conda install lyft-dataset-sdk
conda install jupyter
conda install jupyter_core==4.6.3
conda install tensorflow==2.7.0 #cpu版本
conda install tensorflow-gpu=2.7.0 #gpu版本
conda install numba==0.55.1
conda install numpy==1.20.1
conda install networkx==2.2
conda install pytorch==1.8.2
conda install matplotlib==3.4.3
conda install setuptools==60.10.0
conda install opencv==4.5.2
conda install keras==2.7.0
conda install keras-gpu==2.7.0
conda install libtiff==4.3.0
conda install libpng==1.6.37
conda install fastai==1.0.63
conda install pillow==9.1.0
conda install scikit-image==0.17.2
conda install scikit-learn==1.0.2
conda install xarray==0.20.1
conda install gdal==3.4.0在系统变量path中添加的目录
目录C:\Program Files\ArcGIS\Pro\bin\Python\Scripts
proenv.bat 以管理员身份运行：启用为激活后的当前环境cmd命令行模式
activate.bat 为激活命令
deactivate.bat 为取消激活命令
propy.bat 启动python命令行模式
proswap.bat 交换环境
安装arcpro3.0.2的AI使用环境
clone arcgispro-py3
激活环境
conda activate C:\Users\hsg\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone
conda deactivate
安装tensorflow
python
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple lyft-dataset-sdk
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple jupyter
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple numba0.48.0
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple numpy1.20.0
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple networkx==2.2
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple tensorflowarcgispro3.0.2深度学习安装后python环境组件版本情况列表
python
(d:\arcgispro_ai\arcgispro-py3-clone) PS G:\app2024\MyProject深度学习AI项目\web_esri> conda list
# packages in environment at d:\arcgispro_ai\arcgispro-py3-clone:
#
# Name Version Build Channel
_py-xgboost-mutex 2.0 cpu_0
_tflow_select 2.7.0 gpu esri
abseil-cpp 20210324.2 hd77b12b_0
absl-py 0.15.0 pyhd3eb1b0_0
addict 2.4.0 py39_1 esri
aiohttp 3.8.1 py39h2bbff1b_1
aiosignal 1.2.0 pyhd3eb1b0_0
alembic 1.6.4 pyhd3eb1b0_0
appdirs 1.4.4 pyhd3eb1b0_0
arcgis 2.0.1 py39_2825 esri
arcgispro 3.0 0 esri
arcpy 3.0 py39_arcgispro_36045 [arcgispro] esri
arrow-cpp 1.0.1 10 esri
asn1crypto 1.4.0 py_0
astor 0.8.1 py39haa95532_0
astunparse 1.6.3 py_0
async-timeout 4.0.1 pyhd3eb1b0_0
atomicwrites 1.4.0 py_0
attrs 21.4.0 pyhd3eb1b0_0
azure-core 1.12.0 py_0 esri
azure-storage-blob 12.8.0 py_0 esri
backcall 0.2.0 pyhd3eb1b0_0
beautifulsoup4 4.11.1 py39haa95532_0
black 22.1.0 py39_3 esri
blas 1.0 mkl
bleach 4.1.0 pyhd3eb1b0_0
blinker 1.4 py39haa95532_0
blosc 1.21.0 h19a0ad4_0
boost 1.79.0 py39_0 esri
bottleneck 1.3.4 py39h080aedc_0
brotli 1.0.9 ha925a31_2
brotlipy 0.7.0 py39h2bbff1b_1003
bzip2 1.0.8 he774522_0
ca-certificates 2022.3.29 haa95532_1
ca-certificates-curl 2022.4.26 0 esri
cached-property 1.5.2 py_0
cachetools 4.2.2 pyhd3eb1b0_0
cairo 1.14.12 11 esri
catalogue 1.0.0 pyhd3eb1b0_0
catboost 0.26 py39hcbf5309_0 esri
category_encoders 2.2.2 py_0 esri
certifi 2021.10.8 py39haa95532_2
cffi 1.15.0 py39h2bbff1b_1
cfitsio 3.470 h2bbff1b_7
cftime 1.5.0 py39_1 esri
chardet 4.0.0 py39haa95532_1003
charls 2.2.0 h6c2663c_0
charset-normalizer 2.0.4 pyhd3eb1b0_0
click 8.0.4 py39haa95532_0
cliff 3.8.0 py_0 esri
cloudpickle 2.0.0 pyhd3eb1b0_0
cmaes 0.8.2 pyh44b312d_0 esri
cmd2 2.1.1 py39hcbf5309_0 esri
colorama 0.4.4 pyhd3eb1b0_0
colorlog 5.0.1 py39haa95532_1
colour 0.1.5 py39haa95532_0
cppzmq 4.4.1 4 esri
cryptography 37.0.2 py39_5 esri
cudatoolkit 11.1.1 heb2d755_9 esri
cudnn 8.1.0.77 h3e0f4f4_0 esri
cycler 0.11.0 pyhd3eb1b0_0
cymem 2.0.6 py39hd77b12b_0
cython 0.29.28 py39hd77b12b_0
cython-blis 0.4.1 py39h2bbff1b_1
cytoolz 0.11.0 py39h2bbff1b_0
dask-core 2022.5.0 py39haa95532_0
dataclasses 0.8 pyh6d0b6a4_7
decorator 5.1.1 pyhd3eb1b0_0
deep-learning-essentials 3.0 arcgispro_17 [arcgispro] esri
defusedxml 0.7.1 pyhd3eb1b0_0
descartes 1.1.0 pyhd3eb1b0_4
despatch 0.2.0 py39_0 esri
dtreeviz 1.3 py_2 esri
einops 0.3.2 py_0 esri
ensemble-boxes 1.0.8 py_0 esri
entrypoints 0.3 py39haa95532_0
et_xmlfile 1.1.0 py39haa95532_0
fastai 1.0.63 py39_2 esri
fastcache 1.1.0 py39h196d8e1_0
fastprogress 0.2.3 py39_0 esri
fasttext 0.9.2 py39h2e52968_0 esri
filelock 3.6.0 pyhd3eb1b0_0
fire 0.4.0 pyh44b312d_0 esri
flake8 4.0.1 pyhd3eb1b0_1
flatbuffers 2.0.0 h6c2663c_0
freetype 2.12.1 0 esri
frozenlist 1.2.0 py39h2bbff1b_0
fsspec 2022.3.0 py39haa95532_0
future 0.18.2 py39_2 esri
gast 0.4.0 pyhd3eb1b0_0
gdal 3.4.0 arcgispro_py39_17119 [arcgispro] esri
geomet 0.3.0 py_1 esri
geos 3.5.0 arcgispro_2 [arcgispro] esri
giflib 5.2.1 h62dcd97_0
google-auth 2.6.0 pyhd3eb1b0_0
google-auth-oauthlib 0.4.1 py_2
google-pasta 0.2.0 pyhd3eb1b0_0
googledrivedownloader 0.4 py39_0 esri
graphviz 2.38 hfd603c8_2
grpcio 1.42.0 py39_0 esri
h3-py 3.7.3 py39_1 esri
h5py 3.6.0 py39_4 esri
html5lib 1.1 pyhd3eb1b0_0
icc_rt 2019.0.5 arcgispro_0 [arcgispro] esri
icu 68.1 h6c2663c_0
idna 3.3 pyhd3eb1b0_0
imagecodecs 2021.8.26 py39ha1f97ea_0
imageio 2.9.0 pyhd3eb1b0_0
importlib-metadata 4.11.3 py39haa95532_0
importlib_metadata 4.11.3 hd3eb1b0_0
iniconfig 1.1.1 pyhd3eb1b0_0
inplace-abn 1.1.0 py39_cuda111_0 esri
intel-openmp 2020.0 arcgispro_166 [arcgispro] esri
ipykernel 5.3.4 py39h7b7c402_0
ipython 7.21.0 py39_2 esri
ipython_genutils 0.2.0 pyhd3eb1b0_1
ipywidgets 7.6.5 py_0 esri
isodate 0.6.0 py_0 esri
jdcal 1.4.1 pyhd3eb1b0_0
jedi 0.18.0 py39_0 esri
jinja2 3.0.3 pyhd3eb1b0_0
joblib 1.1.0 pyhd3eb1b0_0
jpeg 9d 0 esri
json5 0.9.5 py_0 esri
jsonschema 3.2.0 pyhd3eb1b0_2
jupyter_client 6.1.7 py_1 esri
jupyter_console 6.4.0 py_1 esri
jupyter_contrib_core 0.3.3 py_4 esri
jupyter_contrib_nbextensions 0.5.1 py_24 esri
jupyter_core 4.6.3 py39_2 esri
jupyter_highlight_selected_word 0.2.0 py_4 esri
jupyter_latex_envs 1.4.6 py_3 esri
jupyter_nbextensions_configurator 0.4.1 py_3 esri
jupyterlab 2.2.10 py_0 esri
jupyterlab_server 1.2.0 py_0
jupyterlab_widgets 1.0.0 pyhd3eb1b0_1
keepalive 0.5 py39_1 esri
keras 2.7.0 py_0 esri
keras-base 2.7.0 py_0 esri
keras-gpu 2.7.0 0 esri
keras-preprocessing 1.1.2 pyhd3eb1b0_0
keyring 23.4.0 py39_0 esri
kiwisolver 1.3.2 py39hd77b12b_0
laspy 1.7.0 py39hb572761_1 esri
lcms2 2.12 h83e58a3_0
lerc 3.0 pyh39e3cac_0 esri
libaec 1.0.4 h33f27b4_1
libboost 1.79.0 h001a745_0 esri
libcurl 7.83.0 0 esri
libdeflate 1.8 h2bbff1b_5
libnghttp2 1.47.0 0 esri
libopencv 4.5.2 py39_cuda11.1_cudnn8.1_8 esri
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.19.1 h23ce68f_0
libsodium 1.0.18 2 esri
libtiff 4.3.0 1 esri
libuv 1.40.0 3 esri
libwebp 1.2.2 h2bbff1b_0
libxgboost 1.5.0 hd77b12b_1
libxml2 2.9.12 arcgispro_0 [arcgispro] esri
libxslt 1.1.34 he774522_0
libzopfli 1.0.3 ha925a31_0
lightgbm 3.2.1 py39hd77b12b_0
llvmlite 0.38.0 py39h23ce68f_0
locket 1.0.0 py39haa95532_0
lxml 4.8.0 py39h1985fb9_0
lz4-c 1.9.3 h2bbff1b_1
mako 1.1.4 pyhd3eb1b0_0
markdown 3.3.4 py39haa95532_0
markupsafe 2.0.1 py39h2bbff1b_0
matplotlib 3.4.3 py39_arcgispro_4 [arcgispro] esri
matplotlib-base 3.4.3 py39_arcgispro_4 [arcgispro] esri
mccabe 0.7.0 pyhd3eb1b0_0
mistune 0.8.4 py39h2bbff1b_1000
mkl 2020.0 arcgispro_167 [arcgispro] esri
mkl-service 2.3.0 py39_2 esri
mkl_fft 1.3.0 py39_0 esri
mkl_random 1.2.2 py39_0 esri
mljar-supervised 0.10.6 py_9 esri
mmcv-full 1.4.0 py39_cuda111_cudnn81_0 esri
mmdet 2.19.0 py39_0 esri
mmdet3d 0.17.3 py39_cuda111_cudnn8_1 esri
mmsegmentation 0.19.0 py39h82bb817_1 esri
motmetrics 1.1.3 py_0 esri
mpmath 1.2.1 py39haa95532_0
msrest 0.6.21 py_0 esri
multi-scale-deformable-attention 1.0.0 py39_cuda111_1 esri
multidict 5.1.0 py39h2bbff1b_2
murmurhash 1.0.7 py39hd77b12b_0
mypy_extensions 0.4.3 py39haa95532_1
nb_conda_kernels 2.3.1 py39haa95532_0
nbconvert 5.6.1 py39_1 esri
nbformat 5.1.3 py_1 esri
netcdf4 1.5.7 py39_arcgispro_3 [arcgispro] esri
networkx 2.7.1 pyhd3eb1b0_0
ninja 1.10.2 haa95532_5
ninja-base 1.10.2 h6d14046_5
nlohmann_json 3.7.0 2 esri
nose 1.3.7 pyhd3eb1b0_1008
notebook 5.7.10 py39_1 esri
ntlm-auth 1.4.0 py_0 esri
numba 0.55.1 py39hf11a4ad_0
numexpr 2.8.1 py39_0 esri
numpy 1.20.1 py39_0 esri
numpy-base 1.20.1 py39_0 esri
nuscenes-devkit 1.1.3 py_1 esri
nvidia-ml-py3 7.352.0 py_0 esri
oauthlib 3.2.0 py39_0 esri
olefile 0.46 pyhd3eb1b0_0
onnx 1.9.0 py39_2 esri
onnx-tf 1.8.0 py39hb572761_3 esri
opencv 4.5.2 py39_cuda11.1_cudnn8.1_8 esri
openjpeg 2.4.0 h4fc8c34_0
openpyxl 3.0.9 pyhd3eb1b0_0
openssl 3.0.3 2 esri
opt_einsum 3.3.0 pyhd3eb1b0_1
optuna 2.8.0 py_0 esri
packaging 21.3 pyhd3eb1b0_0
pandas 1.3.5 py39h6214cd6_0
pandocfilters 1.5.0 pyhd3eb1b0_0
parso 0.8.3 pyhd3eb1b0_0
partd 1.2.0 pyhd3eb1b0_1
pathspec 0.9.0 py_0 esri
patsy 0.5.2 py39haa95532_1
pbr 5.6.0 pyhd3eb1b0_0
pefile 2019.4.18 py_0
pickleshare 0.7.5 pyhd3eb1b0_1003
pillow 9.1.0 py39_3 esri
pip 21.2.4 py39haa95532_0
pixman 0.40.0 h2bbff1b_1
plac 1.1.0 py39haa95532_0
platformdirs 2.4.0 pyhd3eb1b0_0
plotly 4.5.4 py_0 esri
pluggy 0.13.1 py39haa95532_0
plyfile 0.7.4 pyhd8ed1ab_0 esri
preshed 3.0.6 py39h6c2663c_0
prettytable 2.1.0 pyhd8ed1ab_0 esri
pro_notebook_integration 3.0 py39_1 esri
prometheus_client 0.8.0 py_0 esri
prompt_toolkit 3.0.5 py_0 esri
protobuf 3.19.1 py39hd77b12b_0
psutil 5.8.0 py39h2bbff1b_1
py 1.11.0 pyhd3eb1b0_0
py-boost 1.79.0 py39h1a5303b_0 esri
py-opencv 4.5.2 py39_8 esri
py-xgboost 1.5.0 py39haa95532_1
pyarrow 1.0.1 py39_3 esri
pyasn1 0.4.8 pyhd3eb1b0_0
pyasn1-modules 0.2.8 py_0
pybind11 2.7.1 0 esri
pybind11_json 0.2.6 3 esri
pycocotools 2.0.2 py39h5685391_1 esri
pycodestyle 2.8.0 pyhd3eb1b0_0
pycparser 2.21 pyhd3eb1b0_0
pyflakes 2.4.0 pyhd3eb1b0_0
pygments 2.9.0 py_0 esri
pyjwt 2.4.0 py_1 esri
pyodbc 4.0.32 py39hd77b12b_1
pyopenssl 22.0.0 pyhd3eb1b0_0
pyparsing 3.0.4 pyhd3eb1b0_0
pypdf2 1.26.0 py_4 esri
pyperclip 1.8.2 pyhd8ed1ab_2 esri
pyquaternion 0.9.9 py_0 esri
pyreadline3 3.3 py39hcbf5309_1 esri
pyrsistent 0.18.0 py39h196d8e1_0
pyshp 2.1.3 pyhd3eb1b0_0
pysocks 1.7.1 py39haa95532_0
pytest 6.2.4 py39_0 esri
python 3.9.11 3 esri
python-certifi-win32 1.6 py_0 esri
python-dateutil 2.8.2 pyhd3eb1b0_0
python-editor 1.0.4 pyhd3eb1b0_0
python-flatbuffers 1.12 pyhd3eb1b0_0
python-graphviz 0.16 pyhd3eb1b0_1
python_abi 3.9 1_cp39 esri
pytorch 1.8.2 py3.9_cuda11.1_cudnn8.1_1 esri
pytz 2022.1 py39_0 esri
pywavelets 1.3.0 py39h2bbff1b_0
pywin32-ctypes 0.2.0 py39_0 esri
pywin32-security 302 py39_1 esri
pywinpty 2.0.1 py39_0 esri
pyyaml 6.0 py39h2bbff1b_1
pyzmq 22.2.1 py39_0 esri
rdflib 5.0.0 py39_0 esri
regex 2022.3.15 py39h2bbff1b_0
requests 2.27.1 pyhd3eb1b0_0
requests-kerberos 0.12.0 0 esri
requests-negotiate-sspi 0.5.3 py39_0 esri
requests-oauthlib 1.3.0 py_0
requests-toolbelt 0.9.1 pyhd3eb1b0_0
requests_ntlm 1.1.0 py_0 esri
retrying 1.3.3 pyhd3eb1b0_2
rsa 4.7.2 pyhd3eb1b0_1
sacremoses 0.0.43 py_0 esri
saspy 3.7.8 py_0 esri
scikit-image 0.17.2 py39hf11a4ad_0
scikit-learn 1.0.2 py39_0 esri
scikit-plot 0.3.7 py_2 esri
scipy 1.6.2 py39_0 esri
seaborn 0.11.2 pyhd3eb1b0_0
send2trash 1.8.0 pyhd3eb1b0_1
sentencepiece 0.1.95 py39h59b6b97_0
setuptools 60.10.0 py39_0 esri
shap 0.39.0 py39h2e25243_0 esri
shapely 1.7.1 py39_arcgispro_4 [arcgispro] esri
simplegeneric 0.8.1 py39haa95532_2
six 1.16.0 py_0 esri
slicer 0.0.7 pyhd8ed1ab_0 esri
snappy 1.1.9 h6c2663c_0
soupsieve 2.3.1 pyhd3eb1b0_0
spacy 2.2.4 py39h2e52968_1 esri
sparqlwrapper 1.8.5 py39_1 esri
sqlalchemy 1.3.12 py39h196d8e1_0
sqlite 3.38.2 0 esri
srsly 1.0.5 py39hd77b12b_0
statsmodels 0.12.2 py39h2bbff1b_0
stevedore 3.3.0 py39hcbf5309_1 esri
swat 1.9.3 py39_0 esri
sympy 1.9 py39_1 esri
tabulate 0.8.9 py39haa95532_0
tbb 2021.5.0 h59b6b97_0
tensorboard 2.6.0 py_1
tensorboard-data-server 0.6.0 py39haa95532_0
tensorboard-plugin-wit 1.6.0 py_0
tensorboardx 2.2 py_0 esri
tensorflow-addons 0.15.0 py39_8 esri
tensorflow-base 2.7.0 py39_cuda11.1_cudnn8.1_6 esri
tensorflow-estimator 2.7.0 py_0 esri
tensorflow-gpu 2.7.0 py39_cuda11.1_cudnn8.1_6 esri
termcolor 1.1.0 py39haa95532_1
terminado 0.13.1 py39haa95532_0
terminaltables 3.1.0 py_0 esri
testpath 0.5.0 py_0 esri
thinc 7.4.0 py39h2e52968_0 esri
threadpoolctl 2.2.0 pyh0d69192_0
tifffile 2021.7.2 pyhd3eb1b0_2
timm 0.4.12 py_0 esri
tokenizers 0.10.1 py39_0 esri
toml 0.10.2 pyhd3eb1b0_0
tomli 1.2.2 pyhd3eb1b0_0
toolz 0.11.2 pyhd3eb1b0_0
torch-cluster 1.5.9 py39_torch18.0_cuda11.1_3 esri
torch-geometric 1.7.2 py39_0 esri
torch-scatter 2.0.7 py39_torch18.0_cuda11.1_3 esri
torch-sparse 0.6.10 py39_torch18.0_cuda11.1_2 esri
torch-spline-conv 1.2.1 py39_torch18.0_cuda11.1_3 esri
torchvision 0.9.2 py39_cu111_1 esri
torchvision-cpp 0.9.2 libtorch182_cuda111_cudnn81_0 esri
tornado 6.1 py39h2bbff1b_0
tqdm 4.64.0 py39haa95532_0
traitlets 5.1.1 pyhd3eb1b0_0
transformers 4.5.1 py_1 esri
trimesh 2.35.39 py_0 esri
typed-ast 1.4.3 py39h2bbff1b_1
typeguard 2.12.1 py_0 esri
typing 3.10.0.0 py39haa95532_0
typing-extensions 4.1.1 hd3eb1b0_0
typing_extensions 4.1.1 pyh06a4308_0
tzdata 2021e hda174b7_0
ujson 5.1.0 py39hd77b12b_0
urllib3 1.26.8 pyhd3eb1b0_0
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2 esri
wasabi 0.9.1 py39haa95532_0
wcwidth 0.2.5 pyhd3eb1b0_0
webencodings 0.5.1 py39haa95532_1
werkzeug 2.0.3 pyhd3eb1b0_0
wheel 0.37.1 pyhd3eb1b0_0
widgetsnbextension 3.5.2 py39haa95532_0
win_inet_pton 1.1.0 py39_0 esri
wincertstore 0.2 py39haa95532_2
winkerberos 0.8.0 py39_0 esri
winpty 0.4.3 4
wordcloud 1.8.1 py39_2 esri
wrapt 1.13.3 py39h2bbff1b_2
x86cpu 0.4 py39_1 esri
xarray 0.20.1 pyhd3eb1b0_1
xeus 0.24.1 8 esri
xeus-python 0.8.2 10 esri
xgboost 1.5.0 py39haa95532_1
xlrd 2.0.1 pyhd3eb1b0_0
xlwt 1.3.0 py39haa95532_0
xmltodict 0.12.0 pyhd3eb1b0_0
xtl 0.6.15 1 esri
xz 5.2.5 h8cc25b3_1
yaml 0.2.5 0 esri
yapf 0.31.0 pyhd3eb1b0_0
yarl 1.6.3 py39h2bbff1b_0
zeromq 4.3.4 0 esri
zfp 0.5.5 hd77b12b_6
zipp 3.7.0 pyhd3eb1b0_0
zlib 1.2.12 h8cc25b3_2
zlib-ng 2.0.5 0 esri
zstd 1.4.9 h19a0ad4_0cmd中激活环境后执行测试代码
python helloworld.py
python tensorflowV.py
python
import tensorflow as tf
print(tf.__version__)
print('hello world!')
python
import tensorflow as tf
print('tensorflow version:'+tf.__version__)
tf.compat.v1.disable_eager_execution()
w1=tf.random.truncated_normal([2,3],0.0,1.0)
w2=tf.random.truncated_normal([3,1],0.0,1.0)
x=tf.compat.v1.placeholder(tf.float32,shape=(3,2),name="input")
a=tf.compat.v1.matmul(x,w1)
y=tf.compat.v1.matmul(a,w2)
with tf.compat.v1.Session() as s:
init_op=tf.compat.v1.global_variables_initializer()
s.run(init_op)
print(s.run(y,feed_dict={x:[[0.7,0.9],[0.1,0.4],[0.5,0.8]]}))vscode执行py文件需要设置vscode python执行环境
python
快捷键：Ctrl+Shift+P
选择python select interpreter
选择下面路径的arcgispro-py3-clone版本
C:\Users\hsg\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone本blog地址：https://blog.csdn.net/hsg77