diff options
Diffstat (limited to 'science/linux-ai-ml-env')
| -rw-r--r-- | science/linux-ai-ml-env/Makefile | 71 | ||||
| -rw-r--r-- | science/linux-ai-ml-env/distinfo | 10 | ||||
| -rw-r--r-- | science/linux-ai-ml-env/files/redundant-items.txt | 8 | ||||
| -rw-r--r-- | science/linux-ai-ml-env/pkg-message | 2 |
4 files changed, 61 insertions, 30 deletions
diff --git a/science/linux-ai-ml-env/Makefile b/science/linux-ai-ml-env/Makefile index 4053a20d88c0..e4dc732a75ab 100644 --- a/science/linux-ai-ml-env/Makefile +++ b/science/linux-ai-ml-env/Makefile @@ -1,12 +1,12 @@ PORTNAME= ai-ml-env -PORTVERSION= 1.0.0 +PORTVERSION= 1.0.1 CATEGORIES= science linux MASTER_SITES= https://arrowd.name/ PKGNAMEPREFIX= linux- DISTFILES= miniconda3.tar.gz -DIST_SUBDIR= ${PORTNAME} +DIST_SUBDIR= ${PORTNAME}-${PORTVERSION} -MAINTAINER= voxnod@gmail.com +MAINTAINER= arrowd@FreeBSD.org COMMENT= Linux Python environment for running Stable Diffusion models and PyTorch CUDA examples ONLY_FOR_ARCHS= amd64 @@ -16,11 +16,9 @@ LICENSE_NAME= Multiple licenses LICENSE_TEXT= The package contains multiple packages with different licenses LICENSE_PERMS= dist-mirror pkg-mirror auto-accept -FETCH_DEPENDS= linux_base-rl9>=9.2:emulators/linux_base-rl9 BUILD_DEPENDS= linux-rl9-devtools>=0:devel/linux-rl9-devtools -RUN_DEPENDS= linux-nvidia-libs>=0:x11/linux-nvidia-libs \ - linux-rl9-python${PYTHON_SUFFIX}>=0:lang/linux-rl9-python3 \ - nvidia-driver>=0:x11/nvidia-driver +RUN_DEPENDS= linux-rl9-python${PYTHON_SUFFIX}>=0:lang/linux-rl9-python3 \ + ${NVIDIA_DEPS} USES= linux:rl9 USE_LINUX_PREFIX= yes @@ -30,36 +28,61 @@ GH_PROJECT= examples:examples GH_TAGNAME= 5dfeb46902baf444010f2f54bcf4dfbea109ae4d:examples WRKSRC= ${WRKSRC_examples} +MAKEDIST_WRKSRC=${WRKDIR}/makedist SUB_FILES= ai-ml-env-bash \ ai-ml-env-python SUB_LIST= LOCALBASE=${LOCALBASE} \ LINUXBASE=${LINUXBASE} -PLIST_SUB+= PYTHON_SUFFIX=${PYTHON_SUFFIX} \ +PLIST_SUB= PYTHON_SUFFIX=${PYTHON_SUFFIX} \ PYTHON_VER=${PYTHON_VER} -CONDA_VERSION= py39_25.1.1-2 +CONDA_VERSION= py${PYTHON_SUFFIX}_25.9.1-1 CONDA_SCRIPT= Miniconda3-${CONDA_VERSION}-Linux-x86_64.sh PYTHON_SUFFIX= 39 PYTHON_VER= 3.9 DATA_DIR= ${LOCALBASE}/share/${PORTNAME} -create-distfile: - ${MKDIR} ${DISTDIR}/${DIST_SUBDIR} - cd ${DISTDIR}/${DIST_SUBDIR} && \ - fetch -a -v https://repo.anaconda.com/miniconda/${CONDA_SCRIPT} - @if [ ! -d "${DISTDIR}/${DIST_SUBDIR}/miniconda3/envs/pytorch" ]; then \ - ${ECHO_MSG} "Miniconda environment 'pytorch' not found. Setting up..."; \ - ${SETENV} HOME=${DISTDIR}/${DIST_SUBDIR} ${SH} ${DISTDIR}/${DIST_SUBDIR}/${CONDA_SCRIPT} -b -s; \ - ${DISTDIR}/${DIST_SUBDIR}/miniconda3/bin/conda create --name pytorch python=${PYTHON_VER} -y; \ - ${LINUXBASE}/bin/bash -c "source ${DISTDIR}/${DIST_SUBDIR}/miniconda3/etc/profile.d/conda.sh && \ - conda activate pytorch && \ - pip install -r ${FILESDIR}/requirements.txt"; \ - fi - cd ${DISTDIR}/${DIST_SUBDIR} && \ - tar -czf miniconda3.tar.gz miniconda3 - ${MAKE} makesum +OPTIONS_DEFINE= NVIDIA_DEVEL + +NVIDIA_DEVEL_DESC= Depend on x11/nvidia-driver-devel instead of the stable version + +.include <bsd.port.options.mk> + +.if ${PORT_OPTIONS:MNVIDIA_DEVEL} +NVIDIA_DEPS= linux-nvidia-libs-devel>=0:x11/linux-nvidia-libs-devel \ + nvidia-driver-devel>=0:x11/nvidia-driver-devel +.else +NVIDIA_DEPS= linux-nvidia-libs>=0:x11/linux-nvidia-libs \ + nvidia-driver>=0:x11/nvidia-driver +.endif + +makedist: + @${MKDIR} ${MAKEDIST_WRKSRC} + @${ECHO_MSG} "Setting up Miniconda 'pytorch' environment" + cd ${MAKEDIST_WRKSRC} && \ + ${FETCH_CMD} -a -v https://repo.anaconda.com/miniconda/${CONDA_SCRIPT} + + ${SETENV} HOME=${MAKEDIST_WRKSRC} CONDA_OVERRIDE_GLIBC=2.28 \ + ${SH} ${MAKEDIST_WRKSRC}/${CONDA_SCRIPT} -b -s + + ${SETENV} HOME=${MAKEDIST_WRKSRC} ${SH} -c \ + "${MAKEDIST_WRKSRC}/miniconda3/bin/conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/main && \ + ${MAKEDIST_WRKSRC}/miniconda3/bin/conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/r && \ + ${MAKEDIST_WRKSRC}/miniconda3/bin/conda create --name pytorch python=${PYTHON_VER} -y" + + ${LINUXBASE}/bin/bash -c \ + "source ${MAKEDIST_WRKSRC}/miniconda3/etc/profile.d/conda.sh && \ + conda activate pytorch && \ + pip install -r ${FILESDIR}/requirements.txt" + + cd ${MAKEDIST_WRKSRC} && \ + tar -czf /tmp/miniconda3.tar.gz miniconda3 + @cd /tmp \ + && sha256 miniconda3.tar.gz \ + && ${ECHO_CMD} -n "SIZE (${DIST_SUBDIR}/miniconda3.tar.gz) = " \ + && ${STAT} -f %z miniconda3.tar.gz do-build: /compat/linux/bin/cc --sysroot=/compat/linux -m64 -std=c99 -Wall -ldl -fPIC -shared -o ${WRKDIR}/dummy-uvm.so ${FILESDIR}/uvm_ioctl_override.c diff --git a/science/linux-ai-ml-env/distinfo b/science/linux-ai-ml-env/distinfo index eba6ad95a915..ff6dd1918a87 100644 --- a/science/linux-ai-ml-env/distinfo +++ b/science/linux-ai-ml-env/distinfo @@ -1,5 +1,5 @@ -TIMESTAMP = 1742925172 -SHA256 (ai-ml-env/miniconda3.tar.gz) = 1d9eb42dd753f462f4ccd82ab7716561b90274eeaa45254fd50b879bb09537b7 -SIZE (ai-ml-env/miniconda3.tar.gz) = 3511877484 -SHA256 (ai-ml-env/pytorch-examples-5dfeb46902baf444010f2f54bcf4dfbea109ae4d_GH0.tar.gz) = a024b134dfd1edba649289e551a0cd85bd22424dd76df4303b280e20757a602c -SIZE (ai-ml-env/pytorch-examples-5dfeb46902baf444010f2f54bcf4dfbea109ae4d_GH0.tar.gz) = 7298483 +TIMESTAMP = 1742925173 +SHA256 (ai-ml-env-1.0.1/miniconda3.tar.gz) = caabf9a12acd61912a10a32e690283137e15dff2617fdd701ff9f695dc7a4d5c +SIZE (ai-ml-env-1.0.1/miniconda3.tar.gz) = 3584426356 +SHA256 (ai-ml-env-1.0.1/pytorch-examples-5dfeb46902baf444010f2f54bcf4dfbea109ae4d_GH0.tar.gz) = a024b134dfd1edba649289e551a0cd85bd22424dd76df4303b280e20757a602c +SIZE (ai-ml-env-1.0.1/pytorch-examples-5dfeb46902baf444010f2f54bcf4dfbea109ae4d_GH0.tar.gz) = 7298483 diff --git a/science/linux-ai-ml-env/files/redundant-items.txt b/science/linux-ai-ml-env/files/redundant-items.txt index 54795ebaf9d0..3563b304e27b 100644 --- a/science/linux-ai-ml-env/files/redundant-items.txt +++ b/science/linux-ai-ml-env/files/redundant-items.txt @@ -1,4 +1,11 @@ bin/2to3-3.9 +bin/bunzip2 +bin/bzcat +bin/bzdiff +bin/bzgrep +bin/bzip2 +bin/bzip2recover +bin/bzmore bin/c_rehash bin/clear bin/idle3.9 @@ -23,6 +30,7 @@ bin/tset bin/wheel bin/wish8.6 bin/x86_64-conda-linux-gnu-ld +bin/xmlwf bin/xz bin/xzdec bin/xzdiff diff --git a/science/linux-ai-ml-env/pkg-message b/science/linux-ai-ml-env/pkg-message index 4c744748c5c5..e8f01bd37e44 100644 --- a/science/linux-ai-ml-env/pkg-message +++ b/science/linux-ai-ml-env/pkg-message @@ -9,7 +9,7 @@ To play with Stable Diffusion copy it to a user-writable directory, edit at will and launch it via ai-ml-env-python: cp /usr/local/share/ai-ml-env/stable-diffusion-sample.py ~/ - ai-ml-env-python stable-diffusion-sample.py + ai-ml-env-python ~/stable-diffusion-sample.py This will download data packages into ~/.cache/huggingface/hub/ during the first-time run. |