使用pip下载命令时如何设置平台

时间:2019-03-12 06:54:12

标签: python linux pip

我想在Mac上为centos 7.4和python 3.7下载一些文件(tensorflow,keras,不平衡,xgboost,lightgbm,catboost)。

我应该如何设置平台名称和其他设置?

我在命令行下面使用了

# Build an image that can do training and inference in SageMaker
 # This is a Python 2 image that uses the nginx, gunicorn, flask stack
 # for serving inferences in a stable way.

 FROM ubuntu:16.04

 MAINTAINER Amazon AI <sage-learner@amazon.com


 RUN apt-get -y update && apt-get install -y --no-install-recommends \
          wget \
          python \
          nginx \
          ca-certificates \
     && rm -rf /var/lib/apt/lists/*

 # Here we get all python packages.
 # There's substantial overlap between scipy and numpy that we eliminate by
 # linking them together. Likewise, pip leaves the install caches populated which uses
 # a significant amount of space. These optimizations save a fair amount of space in the
 # image, which reduces start up time. RUN wget https://bootstrap.pypa.io/get-pip.py && python get-pip.py && \
     pip install numpy==1.16.2 scipy==1.2.1 scikit-learn==0.20.2 pandas flask gevent gunicorn && \
         (cd /usr/local/lib/python2.7/dist-packages/scipy/.libs; rm *; ln ../../numpy/.libs/* .) && \
         rm -rf /root/.cache

 # Set some environment variables. PYTHONUNBUFFERED keeps Python from buffering our standard
 # output stream, which means that logs can be delivered to the user quickly. PYTHONDONTWRITEBYTECODE
 # keeps Python from writing the .pyc files which are unnecessary in this case. We also update
 # PATH so that the train and serve programs are found when the container is invoked.

 ENV PYTHONUNBUFFERED=TRUE ENV PYTHONDONTWRITEBYTECODE=TRUE ENV
 PATH="/opt/program:${PATH}"

 # Set up the program in the image COPY decision_trees /opt/program WORKDIR /opt/program

1 个答案:

答案 0 :(得分:0)

将版本设置为37:

pip download --only-binary=:all: --python-version 37 --abi cp37m --platform manylinux1_x86_64 tensorflow