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PORTNAME= ai-ml-env
PORTVERSION= 1.0.0
CATEGORIES= science linux
MASTER_SITES= https://arrowd.name/
PKGNAMEPREFIX= linux-
DISTFILES= miniconda3.tar.gz
DIST_SUBDIR= ${PORTNAME}
MAINTAINER= voxnod@gmail.com
COMMENT= Linux Python environment for running Stable Diffusion models and PyTorch CUDA examples
ONLY_FOR_ARCHS= amd64
LICENSE= MULTI
LICENSE_NAME= Multiple licenses
LICENSE_TEXT= The package contains multiple packages with different licenses
LICENSE_PERMS= dist-mirror pkg-mirror auto-accept
FETCH_DEPENDS= linux_base-rl9>=9.2:emulators/linux_base-rl9
BUILD_DEPENDS= linux-rl9-devtools>=0:devel/linux-rl9-devtools
RUN_DEPENDS= linux-nvidia-libs>=0:x11/linux-nvidia-libs \
linux-rl9-python${PYTHON_SUFFIX}>=0:lang/linux-rl9-python3 \
nvidia-driver>=0:x11/nvidia-driver
USES= linux:rl9
USE_LINUX_PREFIX= yes
USE_GITHUB= nodefault
GH_ACCOUNT= pytorch:examples
GH_PROJECT= examples:examples
GH_TAGNAME= 5dfeb46902baf444010f2f54bcf4dfbea109ae4d:examples
WRKSRC= ${WRKSRC_examples}
SUB_FILES= ai-ml-env-bash \
ai-ml-env-python
SUB_LIST= LOCALBASE=${LOCALBASE} \
LINUXBASE=${LINUXBASE}
PLIST_SUB+= PYTHON_SUFFIX=${PYTHON_SUFFIX} \
PYTHON_VER=${PYTHON_VER}
CONDA_VERSION= py39_25.1.1-2
CONDA_SCRIPT= Miniconda3-${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
do-build:
/compat/linux/bin/cc --sysroot=/compat/linux -m64 -std=c99 -Wall -ldl -fPIC -shared -o ${WRKDIR}/dummy-uvm.so ${FILESDIR}/uvm_ioctl_override.c
do-install:
@${FIND} ${WRKSRC} -name '*.orig' -delete
# Install Linux Python packages
${MKDIR} ${STAGEDIR}${PREFIX}/usr/bin
${FIND} ${WRKDIR}/miniconda3/envs/pytorch/bin -type f -exec ${CP} {} ${STAGEDIR}${PREFIX}/usr/bin \;
${MKDIR} ${STAGEDIR}${PREFIX}/usr/lib/python${PYTHON_VER}
${CP} -r ${WRKDIR}/miniconda3/envs/pytorch/lib/python${PYTHON_VER}/site-packages ${STAGEDIR}${PREFIX}/usr/lib/python${PYTHON_VER}
for item in `cat ${FILESDIR}/redundant-items.txt`; do \
${RM} -r ${STAGEDIR}${PREFIX}/usr/$$item; \
done
${FIND} ${STAGEDIR}${PREFIX}/usr/bin -type f -exec ${REINPLACE_CMD} -i '' 's|^#!.*/miniconda3/envs/pytorch/bin/python|#!/bin/python3|' {} +
# Install Shkhln's lib
${MKDIR} ${STAGEDIR}${DATADIR}
${INSTALL_LIB} ${WRKDIR}/dummy-uvm.so ${STAGEDIR}${DATADIR}
# Install Pytorch examples
${MKDIR} ${STAGEDIR}${DATA_DIR}/pytorch-examples
cd ${WRKSRC} && \
${COPYTREE_SHARE} . ${STAGEDIR}${DATA_DIR}/pytorch-examples
${RM} -r ${STAGEDIR}${DATA_DIR}/pytorch-examples/.github
${INSTALL_SCRIPT} ${WRKSRC}/run_python_examples.sh ${STAGEDIR}${DATA_DIR}/pytorch-examples
# Install Stable Diffusion sample
${INSTALL_DATA} ${FILESDIR}/stable-diffusion-sample.py ${STAGEDIR}${DATA_DIR}
# Install demonstration scripts
${MKDIR} ${STAGEDIR}${LOCALBASE}/bin
${INSTALL_SCRIPT} ${WRKDIR}/ai-ml-env-bash ${STAGEDIR}${LOCALBASE}/bin/ai-ml-env-bash
${INSTALL_SCRIPT} ${WRKDIR}/ai-ml-env-python ${STAGEDIR}${LOCALBASE}/bin/ai-ml-env-python
post-install:
@${FIND} ${STAGEDIR}${PREFIX}/usr/lib/python${PYTHON_VER} -type f | sed -e 's|${STAGEDIR}${PREFIX}/||' >> ${TMPPLIST}
@${FIND} ${STAGEDIR}${DATA_DIR}/pytorch-examples -type f | sed -e 's|${STAGEDIR}||' >> ${TMPPLIST}
@${FIND} ${STAGEDIR}${DATA_DIR} -type d | sed -e 's|${STAGEDIR}|@dir |' >> ${TMPPLIST}
.include <bsd.port.mk>
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