确保你正在使用的Python环境是安装了pytorch_metric_learning的环境。你可以使用以下命令来检查当前Python环境的路径: bash which python #在Unix/Linux/Mac系统上 where python #在Windows系统上 如果你在使用虚拟环境(如venv或conda),请确保该环境已激活,并在该环境中安装了p
conda install pytorch-metric-learning -c metric-learning -c pytorch To use the testing module, you'll need faiss, which can be installed via conda as well. See the installation instructions for faiss. Benchmark results See powerful-benchmarker to view benchmark results and to use the bench...
Conda build script works properly 5年前 docs Updated the documentation 5年前 examples Added an example notebook for utils.inference 5年前 src/pytorch_metric_learning v0.9.87.dev4 5年前 tests Added a unit test for MultiSimilarityLoss
4 changes: 2 additions & 2 deletions 4 conda_build/pytorch-metric-learning/meta.yaml Original file line numberDiff line numberDiff line change @@ -1,13 +1,13 @@ {% set name = "pytorch-metric-learning" %} {% set version = "0.9.86" %} {% set version = "0.9.87" %} package:...
Fix the following conda errors (not sure if they are reproducible errors): Windows: UnsatisfiableError: The following specifications were found to be incompatible with each other: Output in format: Requested package -> Available versions...
conda_build docs examples src tests .flake8 .git-blame-ignore-revs .gitignore CONTENTS.md LICENSE README.md build_script.sh format_code.sh mkdocs.yml run_linter.sh setup.py Breadcrumbs pytorch-metric-learning / setup.py Latest commit Kevin Musgrave Add license_files argument in setup.py bd...
conda create -n <Env_Name> python=3.6 Activate itconda activate <Env_Name> and runbash installer.sh Note that for kMeans- and Nearest Neighbour Computation, the library faiss is used, which can allow to move these computations to GPU if speed is desired. However, in most cases, faiss ...
Conda conda install -c conda-forge pytorch-metric-learning To use the testing module, you'll need faiss, which can be installed via conda as well. See the installation instructions for faiss. Benchmark results See powerful-benchmarker to view benchmark results and to use the benchmarking to...
Conda: conda install pytorch-metric-learning -c metric-learning We have recently noticed some sporadic issues with the conda installation, so we recommend installing with pip. You can use pip inside of conda: conda install pip pip install pytorch-metric-learning ...