在我的64位Win10上安装Tensorflow时,我得到了一个Win10。
CondaVerificationError: The package for tensorflow-estimator located at C:\Users\viviennejia.zhong\AppData\Local\Continuum\anaconda3\pkgs\tensorflow-estimator-1.13.0-py37h39e3cac_0
appears to be corrupted. The path 'Lib/site-packages/tensorflow_estimator/py
我在snakemake管道中得到以下错误: Building DAG of jobs...
Using shell: /usr/bin/bash
Provided cores: 16
Rules claiming more threads will be scaled down.
Job counts:
count jobs
1 long_read_assembly
1
[Wed Jan 15 11:35:18 2020]
rule long_read_assembly:
input: long_reads/F19FT
我已经尝试了几个小时了,但是我想不出如何在构建过程中激活和切换Dockerfile中的anaconda环境
以下是初始代码:
FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu16.04
# Set user
ENV SETUSER myuser
RUN useradd -m $SETUSER
USER $SETUSER
WORKDIR /home/$SETUSER
# Install Anaconda
RUN wget https://repo.anaconda.com/archive/Anaconda3-2019.03-Linux-x86_64.sh
在尝试使用conda-pack时
conda pack -n myenv
显示了以下消息
Conda-managed packages were found without entries in the package cache. This is usually due to 'conda clean -p' being unaware of symlinked or copied packages. ...
包缓存到底在哪里?是不是...\Anaconda\Lib\site-packages中的包?
这是否意味着在我试图打包的环境中找到了包(例如...\Anaconda\
我使用命令sudo apt-get install python-numpy python-scipy安装了Scipy,看起来这两个命令都安装了最新版本。但是,当我尝试使用pip install wfdb安装一个名为wfdb的python包时,在安装Building wheel for scipy (PEP 517)时出现错误。 ERROR: Failed building wheel for scipy
Running setup.py clean for scipy
ERROR: Command errored out with exit status 1:
command: /usr/
我试图从anaconda更新或安装新的软件包,最近出现了这样的消息:
The environment is inconsistent, please check the package plan carefully
The following package are causing the inconsistency:
- defaults/win-32::anaconda==5.3.1=py37_0
done
我尝试了conda clean --all,然后是conda update --all,但是它仍然存在。
Conda信息
active environment : base
我正在使用Visual Studio代码,我已经安装了tweepy,然后突然开始尝试卸载并安装numpy,但是错误仍然是一样的。 C:\Users\abc\Anaconda3\lib\site-packages\numpy\__init__.py:140: UserWarning: mkl-service package failed to import, therefore Intel(R) MKL initialization ensuring its correct out-of-the box operation under condition when Gnu OpenMP had
我想创建一个在Django Web App上工作的conda环境。我检查了该环境以前是否存在:
conda activate django_movie_app
Could not find conda environment: django_movie_app
You can list all discoverable environments with `conda info --envs`.
然后我使用以下命令创建了我的环境:
conda create --name django_movie_app
Collecting package metada
Microsoft Windows [Version 6.1.7601]
Copyright (c) 2009 Microsoft Corporation. All rights reserved.
C:\Users>conda env list
# conda environments:
#
deepdream C:\Users\AppData\Local\Continuum\Anaconda32\env
s\deepdream
pd16.2 C:\Users\AppData\Local\Continuu
这是python的新手,我需要两个用于anaconda的TensorFlow环境(一个是tf,另一个是旧版本)。 人们通常是怎么做这样的事情的? 编辑:通过一个障碍。在删除环境时遇到问题。找到了fix这个的方法。得到的是: PackagesNotFoundError: The following packages are missing from the target environment:
- 现在尝试@B200011011建议: conda create -n myenv python=3.7 ...得到3.8.1 但是我不能安装tensorflow: ...>pi
最近,我尝试使用以下命令将Anaconda安装的根环境从Python3.4更新到Python3.5
conda install python=3.5
做完之后,我跑了
conda update --all python=3.5
希望它能将所有其他包更新为Python3.5版本,但它在下面的错误消息中失败了:(请注意,我在这个列表的中间遗漏了许多包)
The following specifications were found to be in conflict:
- backports_abc -> python 2.7*|3.4*
- certifi -> python
我在一个CMakeLists.txt文件中有以下内容。我试图使用cmake来检查系统上是否安装了名为myenv的conda环境,并激活了该环境。如果环境不存在,则创建环境并激活它。这假设conda已经通过 (或Miniconda)安装。
# Create and activate a Python environment.
cmake_minimum_required(VERSION 3.18)
# Define the project
project(MyExample)
# Specify the C++ standard
set(CMAKE_CXX_STANDARD 17)
set