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meta.yaml
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meta.yaml
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package:
name: cudatoolkit
# Match the package version to the libcudart.so version.
version: 11.8.0
source:
path: .
# Source downloading is done in build.py. To locally cache and point to your local file,
# set the DEBUG_INSTALLER_PATH environment variable to the folder where you have
# downloaded the installer.
build:
skip: True # [s390x or osx]
number: 0
script_env:
- NVTOOLSEXT_INSTALL_PATH
- DEBUG_INSTALLER_PATH
missing_dso_whitelist:
- "$RPATH/libdl.so.2"
- "$RPATH/libpthread.so.0"
- "$RPATH/libc.so.6"
- "$RPATH/librt.so.1"
- "$RPATH/ld-linux-x86-64.so.2"
- "$RPATH/libm.so.6"
requirements:
build:
- 7za # [win]
- python
- pyyaml
- requests
# For run_exports
- {{ compiler('c') }}
- {{ compiler('cxx') }}
run_constrained:
- __cuda >=11.0
test:
requires:
- numba
- python
- setuptools # for pkg_resources
about:
home: https://developer.nvidia.com/cuda-zone
license: NVIDIA End User License Agreement
license_file: NVIDIA_EULA
description: |
CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers can dramatically speed up computing applications by harnessing the power of GPUs.
The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. This CUDA Toolkit includes GPU-accelerated libraries, and the CUDA runtime for the Conda ecosystem. For the full CUDA Toolkit with a compiler and development tools visit https://developer.nvidia.com/cuda-downloads
License Agreements
The packages are governed by the CUDA Toolkit End User License Agreement (EULA). By downloading and using the packages, you accept the terms and conditions of the CUDA EULA - https://docs.nvidia.com/cuda/eula/index.html
summary: 'CUDA Toolkit - Including CUDA runtime and headers'
doc_url: https://docs.nvidia.com/cuda/
dev_url: https://developer.nvidia.com/cuda-downloads