Closed MarkEdmondson1234 closed 5 years ago
Using this Dockerfile from the gpu folder:
gpu
RUN apt-get update \ && apt-get upgrade -y -q \ && apt-get install -y --no-install-recommends \ r-base \ r-base-dev \ r-cran-littler \ libxml2-dev \ libxt-dev \ libssl-dev \ libcurl4-openssl-dev \ imagemagick \ python-pip \ libpython2.7 \ && pip install --upgrade pip==9.0.3 \ && pip install virtualenv \ && echo 'options(repos = c(CRAN = "https://cloud.r-project.org"))' >> /etc/R/Rprofile.site \ && /usr/lib/R/site-library/littler/examples/install.r tensorflow keras \ && r -e "keras::install_keras(tensorflow = '1.4.1-gpu')"
Which resulted in this error:
...snip... Collecting pip Downloading https://files.pythonhosted.org/packages/d7/41/34dd96bd33958e52cb4da2f1bf0818e396514fd4f4725a79199564cd0c20/pip-19.0.2-py2.py3-none-any.whl (1.4MB) Installing collected packages: pip Found existing installation: pip 8.1.1 Not uninstalling pip at /usr/lib/python2.7/dist-packages, outside environment /usr Successfully installed pip-19.0.2 Traceback (most recent call last): File "/usr/bin/pip", line 9, in <module> from pip import main ImportError: cannot import name main The command '/bin/sh -c apt-get update && apt-get upgrade -y -q && apt-get install -y --no-install-recommends r-base r-base-dev r-cran-littler libxml2-dev libxt-dev libssl-dev libcurl4-openssl-dev imagemagick python-pip libpython2.7 && pip install --upgrade pip && pip install virtualenv && echo 'options(repos = c(CRAN = "https://cloud.r-project.org"))' >> /etc/R/Rprofile.site && /usr/lib/R/site-library/littler/examples/install.r tensorflow keras && r -e "keras::install_keras(tensorflow = '1.4.1-gpu')"' returned a non-zero code: 1 ERROR ERROR: build step 0 "gcr.io/cloud-builders/docker" failed: exit status 1
The solution as suggested here https://github.com/pypa/pip/issues/5240 is to change the install line.
&& python -m pip install --upgrade pip \
Can you try this Dockerfile instead?
That link is dead, do you mean this one?
@MarkEdmondson1234 yup, that one!
Using this Dockerfile from the
gpu
folder:Which resulted in this error:
The solution as suggested here https://github.com/pypa/pip/issues/5240 is to change the install line.