conda-forge / mmcv-recipe-feedstock

A conda-smithy repository for mmcv-recipe.

About mmcv-feedstock

Feedstock license: BSD-3-Clause

Home: https://github.com/open-mmlab/mmcv

Package license: Apache-2.0 AND LicenseRef-NVIDIA-License

Summary: OpenMMLab Computer Vision Foundation

Development: https://github.com/open-mmlab/mmcv

Documentation: https://mmcv.readthedocs.io

Current build status

Azure

Variant Status linux_64_c_compiler_version10cuda_compilernvcccuda_compiler_version11.2cxx_compiler_version10numpy1.22python3.10.____cpython linux_64_c_compiler_version10cuda_compilernvcccuda_compiler_version11.2cxx_compiler_version10numpy1.22python3.8.____cpython linux_64_c_compiler_version10cuda_compilernvcccuda_compiler_version11.2cxx_compiler_version10numpy1.22python3.9.____cpython linux_64_c_compiler_version10cuda_compilernvcccuda_compiler_version11.2cxx_compiler_version10numpy1.23python3.11.____cpython linux_64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11numpy1.22python3.10.____cpython linux_64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11numpy1.22python3.8.____cpython linux_64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11numpy1.22python3.9.____cpython linux_64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11numpy1.23python3.11.____cpython linux_64_c_compiler_version12cuda_compilerNonecuda_compiler_versionNonecxx_compiler_version12numpy1.22python3.10.____cpython linux_64_c_compiler_version12cuda_compilerNonecuda_compiler_versionNonecxx_compiler_version12numpy1.22python3.8.____cpython linux_64_c_compiler_version12cuda_compilerNonecuda_compiler_versionNonecxx_compiler_version12numpy1.22python3.9.____cpython linux_64_c_compiler_version12cuda_compilerNonecuda_compiler_versionNonecxx_compiler_version12numpy1.23python3.11.____cpython linux_64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12numpy1.22python3.10.____cpython linux_64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12numpy1.22python3.8.____cpython linux_64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12numpy1.22python3.9.____cpython linux_64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12numpy1.23python3.11.____cpython osx_64_numpy1.22python3.10.____cpython osx_64_numpy1.22python3.8.____cpython osx_64_numpy1.22python3.9.____cpython osx_64_numpy1.23python3.11.____cpython osx_arm64_numpy1.22python3.10.____cpython osx_arm64_numpy1.22python3.8.____cpython osx_arm64_numpy1.22python3.9.____cpython osx_arm64_numpy1.23python3.11.____cpython

Current release info

Name	Downloads	Version	Platforms

Installing mmcv

Installing mmcv from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, mmcv can be installed with conda:

conda install mmcv

or with mamba:

mamba install mmcv

It is possible to list all of the versions of mmcv available on your platform with conda:

conda search mmcv --channel conda-forge

or with mamba:

mamba search mmcv --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search mmcv --channel conda-forge

# List packages depending on `mmcv`:
mamba repoquery whoneeds mmcv --channel conda-forge

# List dependencies of `mmcv`:
mamba repoquery depends mmcv --channel conda-forge

About conda-forge

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating mmcv-feedstock

If you would like to improve the mmcv recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/mmcv-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

• If the version of a package is not being increased, please add or increase the build/number.
• If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers

• @apatsekin
• @weiji14

mmcv-recipe-feedstock's Issues

fix numpy pin

Solution to issue cannot be found in the documentation.

• I checked the documentation.

Issue

current pin is too restrictive; pin_compatible should only be used if numpy is in host, otherwise you end up pinning hard against latest+, i.e. 1.23+

Installed packages

n/a

Environment info

n/a

actually add __cuda

Solution to issue cannot be found in the documentation.

• I checked the documentation.

Issue

I was wrong, we should have __cuda in run here.

Installed packages

m/a

Environment info

m/a

@conda-forge-admin, please add user @weiji14

Additional comment:

Would like to help maintain this recipe, in particular, getting an mmcv-full build with Pytorch 1.12 (xref #7).

Installing mmcv-full with pytorch from pytorch channel doesn't work

For some reason, mmcv-full from conda-forge can only be installed with pytorch from the 'conda-forge' channel, and not from the 'pytorch' channel. For example, a command like mamba create --name temp python=3.9 pytorch::pytorch=1.12 mmcv-full doesn't work, failing with:

Encountered problems while solving:
  - package mmcv-full-1.5.3-cpu_py39h135fcf9_1 requires python_abi 3.9.* *_cp39, but none of the providers can be installed

which is a bit confusing, but really, it just means the solver cannot handle pytorch::pytorch with conda-forge::mmcv-full. Not sure if it's because of this line:

mmcv-recipe-feedstock/recipe/meta.yaml

Lines 74 to 75 in 1898c5f

	run_constrained:
	- pytorch =*={{ proc_type }}*

which looks like pytorch =*=cuda*. Comparing the package names:

• from pytorch channel - linux-64/pytorch-1.12.1-py3.9_cuda11.6_cudnn8.3.2_0.tar.bz2
• from conda-forge channel - linux-64/pytorch-1.12.1-cuda112py39hb0b7ed5_201.tar.bz2

I don't see why the regex pattern doesn't work. Need to investigate more.