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config.py
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config.py
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from jetson_containers import L4T_VERSION, JETPACK_VERSION, CUDA_VERSION, CUDA_ARCHITECTURES, LSB_RELEASE
from packaging.version import Version
import os
def cuda_build_args(version):
"""
Return some common environment settings used between variants of the CUDA containers.
"""
return {
'CUDA_ARCH_LIST': ';'.join([str(x) for x in CUDA_ARCHITECTURES]),
'DISTRO': f"ubuntu{LSB_RELEASE.replace('.','')}",
}
def pip_cache(version, requires=None):
"""
Defines a container that just sets the environment for using the pip caching server.
https://github.com/dusty-nv/jetson-containers/blob/master/docs/build.md#pip-server
"""
short_version = f"cu{version.replace('.', '')}"
repo_path = f"jp{JETPACK_VERSION.major}/{short_version}"
index_host = "jetson.webredirect.org"
pip_cache = package.copy()
pip_cache['name'] = f'pip_cache:{short_version}'
pip_cache['group'] = 'build'
pip_cache['dockerfile'] = 'Dockerfile.pip'
pip_cache['depends'] = []
pip_cache['test'] = []
pip_cache['build_args'] = {
'TAR_INDEX_URL': f"http://{index_host}:8000/{repo_path}",
'PIP_INDEX_REPO': f"http://{index_host}/{repo_path}",
'PIP_TRUSTED_HOSTS': index_host,
'PIP_UPLOAD_REPO': os.environ.get('PIP_UPLOAD_REPO', f"{os.environ.get('PIP_UPLOAD_HOST', 'http://localhost')}/{repo_path}"),
'PIP_UPLOAD_USER': os.environ.get('PIP_UPLOAD_USER', f"jp{JETPACK_VERSION.major}"),
'PIP_UPLOAD_PASS': os.environ.get('PIP_UPLOAD_PASS', 'none'),
'SCP_UPLOAD_URL': os.environ.get('SCP_UPLOAD_URL', f"{os.environ.get('SCP_UPLOAD_HOST', 'localhost:/dist')}/{repo_path}"),
'SCP_UPLOAD_USER': os.environ.get('SCP_UPLOAD_USER'),
'SCP_UPLOAD_PASS': os.environ.get('SCP_UPLOAD_PASS'),
}
if requires:
pip_cache['requires'] = requires
if Version(version) == CUDA_VERSION:
pip_cache['alias'] = 'pip_cache'
return pip_cache
def cuda_package(version, url, deb, packages=None, requires=None) -> list:
"""
Generate containers for a particular version of CUDA installed from debian packages
This will download & install the specified packages (by default the full CUDA Toolkit)
from a .deb URL from developer.nvidia.com/cuda-downloads (the `aarch64-jetson` versions)
"""
if not packages:
packages = os.environ.get('CUDA_PACKAGES', 'cuda-toolkit*')
cuda = package.copy()
cuda['name'] = f'cuda:{version}'
cuda['build_args'] = {**{
'CUDA_URL': url,
'CUDA_DEB': deb,
'CUDA_PACKAGES': packages,
}, **cuda_build_args(version) }
if requires:
cuda['requires'] = requires
if 'toolkit' in packages or 'dev' in packages:
cuda['depends'] = ['build-essential']
if Version(version) == CUDA_VERSION:
cuda['alias'] = 'cuda'
cuda_pip = pip_cache(version, requires)
cuda['depends'].append(cuda_pip['name'])
return cuda, cuda_pip
def cuda_builtin(version, requires=None) -> list:
"""
Backwards-compatability for when CUDA already installed in base container (like l4t-jetpack)
This will just retag the base, marking CUDA dependency as satisfied in any downstream containers.
"""
passthrough = package.copy()
if not isinstance(version, str):
version = f'{version.major}.{version.minor}'
passthrough['name'] = f'cuda:{version}'
passthrough['dockerfile'] = 'Dockerfile.builtin'
passthrough['build_args'] = cuda_build_args(version)
if Version(version) == CUDA_VERSION:
passthrough['alias'] = 'cuda'
if requires:
passthrough['requires'] = requires
passthrough['depends'] = ['build-essential']
cuda_pip = pip_cache(version, requires)
passthrough['depends'].append(cuda_pip['name'])
return passthrough, cuda_pip
def cuda_samples(version, requires, branch=None) -> list:
"""
Generates container that installs/builds the CUDA samples
"""
samples = package.copy()
if not isinstance(version, str):
version = f'{version.major}.{version.minor}'
samples['name'] = f'cuda:{version}-samples'
samples['dockerfile'] = 'Dockerfile.samples'
samples['notes'] = "CUDA samples from https://github.com/NVIDIA/cuda-samples installed under /opt/cuda-samples"
samples['test'] = 'test_samples.sh'
samples['depends'] = [f'cuda:{version}', 'cmake']
if not branch:
branch = version
samples['build_args'] = {'CUDA_BRANCH': 'v' + branch}
if Version(version) == CUDA_VERSION:
samples['alias'] = 'cuda:samples'
if requires:
samples['requires'] = requires
return samples
package = [
# JetPack 6
cuda_package('12.2', 'https://nvidia.box.com/shared/static/uvqtun1sc0bq76egarc8wwuh6c23e76e.deb', 'cuda-tegra-repo-ubuntu2204-12-2-local', requires='==36.*'),
cuda_package('12.4', 'https://developer.download.nvidia.com/compute/cuda/12.4.1/local_installers/cuda-tegra-repo-ubuntu2204-12-4-local_12.4.1-1_arm64.deb', 'cuda-tegra-repo-ubuntu2204-12-4-local', requires='==36.*'),
cuda_package('12.6', 'https://developer.download.nvidia.com/compute/cuda/12.6.2/local_installers/cuda-tegra-repo-ubuntu2204-12-6-local_12.6.2-1_arm64.deb', 'cuda-tegra-repo-ubuntu2204-12-6-local', requires='==36.*'),
cuda_samples('12.2', requires='==36.*'),
cuda_samples('12.4', requires='==36.*'),
cuda_samples('12.6', branch='12.5', requires='==36.*'),
# JetPack 5
cuda_package('12.2', 'https://developer.download.nvidia.com/compute/cuda/12.2.2/local_installers/cuda-tegra-repo-ubuntu2004-12-2-local_12.2.2-1_arm64.deb', 'cuda-tegra-repo-ubuntu2004-12-2-local', requires='==35.*'),
cuda_package('11.8', 'https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda-tegra-repo-ubuntu2004-11-8-local_11.8.0-1_arm64.deb', 'cuda-tegra-repo-ubuntu2004-11-8-local', requires='==35.*'),
cuda_samples('12.2', requires='==35.*'),
cuda_samples('11.8', requires='==35.*'),
# JetPack 4-5 (CUDA installed in base container)
cuda_builtin(CUDA_VERSION, requires='<36'),
cuda_samples(CUDA_VERSION, requires='<36'),
]