Tensorflow-estimator 1.14.0 py_0 defaults Tensorflow-base 1.14.0 gpu_p圓7h55fc52a_0 defaults packages in environment at C:UsersnmacrMiniconda3: Name Version Build Channel asn1crypto 0.24.0 p圓60 defaults ca-certificates 2018.03.07 0 defaults certifi 2018.4.16 p圓60 defaults cffi 1.11.5 p圓6h945400d0 defaults chardet 3.0.4 p圓6h420ce6e1 defaults conda 4.5.4 p圓60 defaults conda-env 2.6.0 h36134e31 defaults consoleshortcut 0.1. Tensorboard 1.14.0 p圓7he3c9ec2_0 defaults
Scikit-learn 0.21.3 p圓7h6288b17_0 defaults Issue occurs for both existing and new packages. # packages in environment at C:\Users\***\.conda\envs\am_keras_tf: (am_keras_tf) PS C:\> conda list -show-channel-urls
Package cache : C:\ProgramData\Anaconda3\pkgsĬ:\Users\***\AppData\Local\conda\conda\pkgsĮnvs directories : C:\Users\***\.conda\envsĬ:\Users\***\AppData\Local\conda\conda\envs Populated config files : C:\Users\***\.condarcīase environment : C:\ProgramData\Anaconda3 (read only) Collecting package metadata (repodata.json): done Solving environment: failed Initial quick solve with frozen env. The same problem happens if I try to install different packages from conda-forge channel, it is not just opencv from menpo Environment Information `conda info`Īctive env location : C:\Users\***\.conda\envs\am_keras_tf supplement: the version of CONDA I use is anaconda3-2019.07-windows-x86 64 Collecting package metadata (currentrepodata.json): done Solving environment: failed with currentrepodata.json, will retry with next repodata source.
#Conda install package faled windows 7#
The opencv package should be installed (as it was on Windows 7 and it still is on Ubuntu). Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.Ĭollecting package metadata (repodata.json): doneįound conflicts! Looking for incompatible packages. Solving environment: failed with initial frozen solve. Его ошибка была: UnsatisfiableError: The following specifications were found to be incompatible with your CUDA driver: UnsatisfiableError: The following specifications were found to be incompatible with your CUDA driver: Yes, you read it right pip install a conda package This is what I had to do to install a python package in a pre-activated read-only conda environment. (temp_env_scanpy) conda install -c bioconda scanpyĬollecting package metadata (current_repodata.json): done
В принципе, на Vm с ubuntu 18: conda create -n temp_env_scanpy
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