Tensorflow_keras 安裝失敗
老師好,
我目前的GPU 是NV 1660,驅動程式版本
NVCUDA:
為了確保相容,使用版本如下
python 3.6.10/tensorflow1.13.1 /CUDA10.0.1/cuDNN7.6.4
使用conda建立環境並列出Conda list如下
# packages in environment at C:\Users\Jason\.conda\envs\ML100-tf:
#
# Name Version Build Channel
absl-py 0.9.0 pypi_0 pypi
astor 0.8.1 pypi_0 pypi
attrs 19.3.0 py_0
backcall 0.1.0 py36_0
bleach 3.1.4 py_0
ca-certificates 2020.1.1 0
certifi 2020.4.5.1 py36_0
colorama 0.4.3 py_0
cudatoolkit 10.0.130 0
cudnn 7.6.4 cuda10.0_0
cycler 0.10.0 py_2 conda-forge
decorator 4.4.2 py_0
defusedxml 0.6.0 py_0
entrypoints 0.3 py36_0
freetype 2.10.2 hd328e21_0 conda-forge
gast 0.3.3 pypi_0 pypi
grpcio 1.29.0 pypi_0 pypi
h5py 2.10.0 pypi_0 pypi
icu 64.2 he025d50_1 conda-forge
importlib-metadata 1.6.0 py36_0
importlib_metadata 1.6.0 0
intel-openmp 2020.0 166
ipykernel 5.1.4 py36h39e3cac_0
ipython 7.13.0 py36h5ca1d4c_0
ipython_genutils 0.2.0 py36_0
ipywidgets 7.5.1 py_0
jedi 0.17.0 py36_0
jinja2 2.11.2 py_0
jpeg 9d he774522_0 conda-forge
jsonschema 3.2.0 py36_0
jupyter 1.0.0 py36_7
jupyter_client 6.1.3 py_0
jupyter_console 6.1.0 py_0
jupyter_core 4.6.3 py36_0
keras-applications 1.0.8 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.2.0 py36h246c5b5_0 conda-forge
libblas 3.8.0 15_mkl conda-forge
libcblas 3.8.0 15_mkl conda-forge
libclang 9.0.1 default_hf44288c_0 conda-forge
liblapack 3.8.0 15_mkl conda-forge
liblapacke 3.8.0 15_mkl conda-forge
libopencv 4.2.0 py36_6 conda-forge
libpng 1.6.37 hfe6a214_1 conda-forge
libsodium 1.0.16 h9d3ae62_0
libtiff 4.1.0 h885aae3_6 conda-forge
libwebp 1.0.2 hfa6e2cd_5 conda-forge
lz4-c 1.9.2 h62dcd97_1 conda-forge
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gmp 6.1.0 2
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
markdown 3.2.2 pypi_0 pypi
markupsafe 1.1.1 py36he774522_0
matplotlib 3.2.1 0 conda-forge
matplotlib-base 3.2.1 py36hf0cddfc_0 conda-forge
mistune 0.8.4 py36he774522_0
mkl 2020.0 166
mock 4.0.2 pypi_0 pypi
msys2-conda-epoch 20160418 1
nbconvert 5.6.1 py36_0
nbformat 5.0.6 py_0
notebook 6.0.3 py36_0
numpy 1.18.5 py36h4d86e3b_0 conda-forge
opencv 4.2.0 py36_6 conda-forge
openssl 1.1.1g he774522_0
pandoc 2.2.3.2 0
pandocfilters 1.4.2 py36_1
parso 0.7.0 py_0
pickleshare 0.7.5 py36_0
pip 20.0.2 py36_3
prometheus_client 0.7.1 py_0
prompt-toolkit 3.0.5 py_0
prompt_toolkit 3.0.5 0
protobuf 3.12.2 pypi_0 pypi
py-opencv 4.2.0 py36h95af2a2_6 conda-forge
pygments 2.6.1 py_0
pyparsing 2.4.7 pyh9f0ad1d_0 conda-forge
pyqt 5.12.3 py36h003fed8_3 conda-forge
pyqt5-sip 4.19.18 pypi_0 pypi
pyqtchart 5.12 pypi_0 pypi
pyqtwebengine 5.12.1 pypi_0 pypi
pyrsistent 0.16.0 py36he774522_0
python 3.6.10 h9f7ef89_2
python-dateutil 2.8.1 py_0 conda-forge
python_abi 3.6 1_cp36m conda-forge
pywin32 227 py36he774522_1
pywinpty 0.5.7 py36_0
pyzmq 18.1.1 py36ha925a31_0
qt 5.12.5 h7ef1ec2_0 conda-forge
qtconsole 4.7.4 py_0
qtpy 1.9.0 py_0
send2trash 1.5.0 py36_0
setuptools 47.1.1 py36_0
six 1.15.0 pyh9f0ad1d_0 conda-forge
sqlite 3.31.1 h2a8f88b_1
tensorboard 1.13.1 pypi_0 pypi
tensorflow-estimator 1.13.0 pypi_0 pypi
tensorflow-gpu 1.13.1 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
terminado 0.8.3 py36_0
testpath 0.4.4 py_0
tornado 6.0.4 py36hfa6e2cd_0 conda-forge
traitlets 4.3.3 py36_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_2
wcwidth 0.1.9 py_0
webencodings 0.5.1 py36_1
werkzeug 1.0.1 pypi_0 pypi
wheel 0.34.2 py36_0
widgetsnbextension 3.5.1 py36_0
wincertstore 0.2 py36h7fe50ca_0
winpty 0.4.3 4
xz 5.2.5 h2fa13f4_0 conda-forge
zeromq 4.3.1 h33f27b4_3
zipp 3.1.0 py_0
zlib 1.2.11 h62dcd97_4
zstd 1.4.4 h9f78265_3 conda-forge
------------------------------------------------------------------------------------------
完成安裝後執行
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())
出現錯誤如下
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
~\.conda\envs\ML100-tf\lib\site-packages\numpy\core\__init__.py in <module>
23 try:
---> 24 from . import multiarray
25 except ImportError as exc:
~\.conda\envs\ML100-tf\lib\site-packages\numpy\core\multiarray.py in <module>
13
---> 14 from . import overrides
15 from . import _multiarray_umath
~\.conda\envs\ML100-tf\lib\site-packages\numpy\core\overrides.py in <module>
6
----> 7 from numpy.core._multiarray_umath import (
8 add_docstring, implement_array_function, _get_implementing_args)
ImportError: DLL load failed: 找不到指定的模組。
During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call last)
<ipython-input-3-0ca82b29604d> in <module>
----> 1 from tensorflow.python.client import device_lib
2 print(device_lib.list_local_devices())
~\.conda\envs\ML100-tf\lib\site-packages\tensorflow\__init__.py in <module>
22
23 # pylint: disable=g-bad-import-order
---> 24 from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
25
26 from tensorflow._api.v1 import app
~\.conda\envs\ML100-tf\lib\site-packages\tensorflow\python\__init__.py in <module>
45 # pylint: disable=wildcard-import,g-bad-import-order,g-import-not-at-top
46
---> 47 import numpy as np
48
49 from tensorflow.python import pywrap_tensorflow
~\.conda\envs\ML100-tf\lib\site-packages\numpy\__init__.py in <module>
140 from . import _distributor_init
141
--> 142 from . import core
143 from .core import *
144 from . import compat
~\.conda\envs\ML100-tf\lib\site-packages\numpy\core\__init__.py in <module>
48 """ % (sys.version_info[0], sys.version_info[1], sys.executable,
49 __version__, exc)
---> 50 raise ImportError(msg)
51 finally:
52 for envkey in env_added:
ImportError:
IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!
Importing the numpy C-extensions failed. This error can happen for
many reasons, often due to issues with your setup or how NumPy was
installed.
We have compiled some common reasons and troubleshooting tips at:
https://numpy.org/devdocs/user/troubleshooting-importerror.html
Please note and check the following:
* The Python version is: Python3.6 from "C:\Users\Jason\.conda\envs\ML100-tf\python.exe"
* The NumPy version is: "1.18.5"
and make sure that they are the versions you expect.
Please carefully study the documentation linked above for further help.
Original error was: DLL load failed: 找不到指定的模組。
-------------------------------------------------------------------------------
跪求建議!
回答列表
-
2020/06/07 下午 11:55Yang Wang贊同數：0不贊同數：0留言數：0
先 uninstall 之後再重新安裝一次試試看吧
-
2020/06/08 下午 01:49張維元 (WeiYuan)贊同數：0不贊同數：0留言數：1
這個是版本對不上的問題， 重新安裝一次試試看：
```
$ pip uninstall tensorflow-gpu
$ pip install tensorflow-gpu
```
如果這個回答對你有幫助請主動點選「有幫助」的按鈕，也可以追蹤我的GITHUB帳號。若還有問題的話，也歡迎繼續再追問或者把你理解的部分整理上來，我都會提供你 Review 和 Feedback 😃😃😃
-
2020/06/08 下午 10:47Jeffrey贊同數：0不贊同數：0留言數：0
1. tensorflow-gpu 1.13.1 對映的是 cuDNN7.4, 目前cuDNN7.6.4
2. 確認keras 是否為 GPU 的版本
3. 確認 tensorflow, GPU CARD是否安裝成功
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "0"
# os.getcwd()
import tensorflow as tf
W = tf.constant([1.0, 2.0, 3.0, 4.0], shape=[2, 2], name='W')
x = tf.constant([1.3, 2.4], shape=[2, 1], name='x')
y = tf.matmul(W, x)
# 只使用 30% 的 GPU 記憶體
gpu_options = tf.compat.v1.GPUOptions(per_process_gpu_memory_fraction = 0.3)
# Creates a session with log_device_placement set to True.
sess = tf.compat.v1.Session(config=tf.compat.v1.ConfigProto(log_device_placement=True))
-
2020/06/09 下午 11:42張維元 (WeiYuan)贊同數：0不贊同數：0留言數：0
嗨，看起來版本都正常，從錯誤中看起來是跟 numpy 有關，可以更新看看：
```
$ pip install -U numpy
```
如果這個回答對你有幫助請主動點選「有幫助」的按鈕，也可以追蹤我的GITHUB帳號。若還有問題的話，也歡迎繼續再追問或者把你理解的部分整理上來，我都會提供你 Review 和 Feedback 😃😃😃