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duyali2000 / SemanticFlowGraph

This repository provides the code and guidance for reproducing the results in our ESEC/FSE 2023 submission "Pre-training Code Representations with Semantic Flow Graph for Effective Bug Localization".
MIT License
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PackageNotFound #2

Closed nimasteryang closed 12 months ago

nimasteryang commented 1 year ago

In both environment-gpu.yml and environment-cpu.yml, there is a package of pytorch==0.9.0, however, this version is not supported by PyTorch currently and not able to download from conda. When I try to create the conda env from the yaml file, it give error of:

`Solving environment: failed

ResolvePackageNotFound:

Can you please update the yml file and align with the version that have pytorch official support https://pytorch.org/get-started/previous-versions ?

duyali2000 commented 12 months ago

You can choose the torch version that suits your environment and cuda. Here's a possible solution to your problem. For Linux and Windows:

CUDA 11.6

conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.6 -c pytorch -c nvidia

CUDA 11.7

conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.7 -c pytorch -c nvidia

CPU Only

conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 cpuonly -c pytorch