for caffe build wget

6eanut · Aug 15, 2024 · 276230c · 276230c
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diff --git a/24-07/caffe/makefiles/aarch64-Makefile.config b/24-07/caffe/makefiles/aarch64-Makefile.config
@@ -0,0 +1,124 @@
+## Refer to http://caffe.berkeleyvision.org/installation.html
+# Contributions simplifying and improving our build system are welcome!
+
+# cuDNN acceleration switch (uncomment to build with cuDNN).
+# USE_CUDNN := 1
+
+# CPU-only switch (uncomment to build without GPU support).
+CPU_ONLY := 1
+
+# uncomment to disable IO dependencies and corresponding data layers
+# USE_OPENCV := 0
+# USE_LEVELDB := 0
+# USE_LMDB := 0
+# This code is taken from https://github.com/sh1r0/caffe-android-lib
+# USE_HDF5 := 0
+
+# uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary)
+#	You should not set this flag if you will be reading LMDBs with any
+#	possibility of simultaneous read and write
+# ALLOW_LMDB_NOLOCK := 1
+
+# Uncomment if you're using OpenCV 3
+# OPENCV_VERSION := 3
+
+# To customize your choice of compiler, uncomment and set the following.
+# N.B. the default for Linux is g++ and the default for OSX is clang++
+# CUSTOM_CXX := g++
+
+# CUDA directory contains bin/ and lib/ directories that we need.
+CUDA_DIR := /usr/local/cuda
+# On Ubuntu 14.04, if cuda tools are installed via
+# "sudo apt-get install nvidia-cuda-toolkit" then use this instead:
+# CUDA_DIR := /usr
+
+# CUDA architecture setting: going with all of them.
+# For CUDA < 6.0, comment the *_50 through *_61 lines for compatibility.
+# For CUDA < 8.0, comment the *_60 and *_61 lines for compatibility.
+# For CUDA >= 9.0, comment the *_20 and *_21 lines for compatibility.
+CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \
+		-gencode arch=compute_20,code=sm_21 \
+		-gencode arch=compute_30,code=sm_30 \
+		-gencode arch=compute_35,code=sm_35 \
+		-gencode arch=compute_50,code=sm_50 \
+		-gencode arch=compute_52,code=sm_52 \
+		-gencode arch=compute_60,code=sm_60 \
+		-gencode arch=compute_61,code=sm_61 \
+		-gencode arch=compute_61,code=compute_61
+
+# BLAS choice:
+# atlas for ATLAS (default)
+# mkl for MKL
+# open for OpenBlas
+BLAS := open
+# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
+# Leave commented to accept the defaults for your choice of BLAS
+# (which should work)!
+# BLAS_INCLUDE := /path/to/your/blas
+# BLAS_LIB := /path/to/your/blas
+
+# Homebrew puts openblas in a directory that is not on the standard search path
+# BLAS_INCLUDE := $(shell brew --prefix openblas)/include
+# BLAS_LIB := $(shell brew --prefix openblas)/lib
+
+# This is required only if you will compile the matlab interface.
+# MATLAB directory should contain the mex binary in /bin.
+# MATLAB_DIR := /usr/local
+# MATLAB_DIR := /Applications/MATLAB_R2012b.app
+
+# NOTE: this is required only if you will compile the python interface.
+# We need to be able to find Python.h and numpy/arrayobject.h.
+PYTHON_INCLUDE := /usr/include/python2.7 \
+		/usr/lib/python2.7/dist-packages/numpy/core/include
+# Anaconda Python distribution is quite popular. Include path:
+# Verify anaconda location, sometimes it's in root.
+# ANACONDA_HOME := $(HOME)/anaconda
+# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
+		# $(ANACONDA_HOME)/include/python2.7 \
+		# $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include
+
+# Uncomment to use Python 3 (default is Python 2)
+# PYTHON_LIBRARIES := boost_python3 python3.5m
+# PYTHON_INCLUDE := /usr/include/python3.5m \
+#                 /usr/lib/python3.5/dist-packages/numpy/core/include
+
+# We need to be able to find libpythonX.X.so or .dylib.
+PYTHON_LIB := /usr/lib
+# PYTHON_LIB := $(ANACONDA_HOME)/lib
+
+# Homebrew installs numpy in a non standard path (keg only)
+# PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include
+# PYTHON_LIB += $(shell brew --prefix numpy)/lib
+
+# Uncomment to support layers written in Python (will link against Python libs)
+# WITH_PYTHON_LAYER := 1
+
+# Whatever else you find you need goes here.
+INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/opencv4 /usr/include/openblas $(shell echo $$PROTOBUF)/include
+LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib $(shell echo $$PROTOBUF)/lib
+LIBRARIES += opencv_core opencv_highgui opencv_imgproc opencv_imgcodecs opencv_videoio
+
+# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies
+# INCLUDE_DIRS += $(shell brew --prefix)/include
+# LIBRARY_DIRS += $(shell brew --prefix)/lib
+
+# NCCL acceleration switch (uncomment to build with NCCL)
+# https://github.com/NVIDIA/nccl (last tested version: v1.2.3-1+cuda8.0)
+# USE_NCCL := 1
+
+# Uncomment to use `pkg-config` to specify OpenCV library paths.
+# (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)
+# USE_PKG_CONFIG := 1
+
+# N.B. both build and distribute dirs are cleared on `make clean`
+BUILD_DIR := build
+DISTRIBUTE_DIR := distribute
+
+# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171
+# DEBUG := 1
+
+# The ID of the GPU that 'make runtest' will use to run unit tests.
+TEST_GPUID := 0
+
+# enable pretty build (comment to see full commands)
+Q ?= @
diff --git a/24-07/caffe/makefiles/riscv64-Makefile.config b/24-07/caffe/makefiles/riscv64-Makefile.config
@@ -0,0 +1,124 @@
+## Refer to http://caffe.berkeleyvision.org/installation.html
+# Contributions simplifying and improving our build system are welcome!
+
+# cuDNN acceleration switch (uncomment to build with cuDNN).
+# USE_CUDNN := 1
+
+# CPU-only switch (uncomment to build without GPU support).
+CPU_ONLY := 1
+
+# uncomment to disable IO dependencies and corresponding data layers
+# USE_OPENCV := 0
+# USE_LEVELDB := 0
+# USE_LMDB := 0
+# This code is taken from https://github.com/sh1r0/caffe-android-lib
+# USE_HDF5 := 0
+
+# uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary)
+#	You should not set this flag if you will be reading LMDBs with any
+#	possibility of simultaneous read and write
+# ALLOW_LMDB_NOLOCK := 1
+
+# Uncomment if you're using OpenCV 3
+# OPENCV_VERSION := 3
+
+# To customize your choice of compiler, uncomment and set the following.
+# N.B. the default for Linux is g++ and the default for OSX is clang++
+# CUSTOM_CXX := g++
+
+# CUDA directory contains bin/ and lib/ directories that we need.
+CUDA_DIR := /usr/local/cuda
+# On Ubuntu 14.04, if cuda tools are installed via
+# "sudo apt-get install nvidia-cuda-toolkit" then use this instead:
+# CUDA_DIR := /usr
+
+# CUDA architecture setting: going with all of them.
+# For CUDA < 6.0, comment the *_50 through *_61 lines for compatibility.
+# For CUDA < 8.0, comment the *_60 and *_61 lines for compatibility.
+# For CUDA >= 9.0, comment the *_20 and *_21 lines for compatibility.
+CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \
+		-gencode arch=compute_20,code=sm_21 \
+		-gencode arch=compute_30,code=sm_30 \
+		-gencode arch=compute_35,code=sm_35 \
+		-gencode arch=compute_50,code=sm_50 \
+		-gencode arch=compute_52,code=sm_52 \
+		-gencode arch=compute_60,code=sm_60 \
+		-gencode arch=compute_61,code=sm_61 \
+		-gencode arch=compute_61,code=compute_61
+
+# BLAS choice:
+# atlas for ATLAS (default)
+# mkl for MKL
+# open for OpenBlas
+BLAS := open
+# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
+# Leave commented to accept the defaults for your choice of BLAS
+# (which should work)!
+# BLAS_INCLUDE := /path/to/your/blas
+# BLAS_LIB := /path/to/your/blas
+
+# Homebrew puts openblas in a directory that is not on the standard search path
+# BLAS_INCLUDE := $(shell brew --prefix openblas)/include
+# BLAS_LIB := $(shell brew --prefix openblas)/lib
+
+# This is required only if you will compile the matlab interface.
+# MATLAB directory should contain the mex binary in /bin.
+# MATLAB_DIR := /usr/local
+# MATLAB_DIR := /Applications/MATLAB_R2012b.app
+
+# NOTE: this is required only if you will compile the python interface.
+# We need to be able to find Python.h and numpy/arrayobject.h.
+PYTHON_INCLUDE := /usr/include/python2.7 \
+		/usr/lib/python2.7/dist-packages/numpy/core/include
+# Anaconda Python distribution is quite popular. Include path:
+# Verify anaconda location, sometimes it's in root.
+# ANACONDA_HOME := $(HOME)/anaconda
+# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
+		# $(ANACONDA_HOME)/include/python2.7 \
+		# $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include
+
+# Uncomment to use Python 3 (default is Python 2)
+# PYTHON_LIBRARIES := boost_python3 python3.5m
+# PYTHON_INCLUDE := /usr/include/python3.5m \
+#                 /usr/lib/python3.5/dist-packages/numpy/core/include
+
+# We need to be able to find libpythonX.X.so or .dylib.
+PYTHON_LIB := /usr/lib
+# PYTHON_LIB := $(ANACONDA_HOME)/lib
+
+# Homebrew installs numpy in a non standard path (keg only)
+# PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include
+# PYTHON_LIB += $(shell brew --prefix numpy)/lib
+
+# Uncomment to support layers written in Python (will link against Python libs)
+# WITH_PYTHON_LAYER := 1
+
+# Whatever else you find you need goes here.
+INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/opencv4 /usr/include/openblas
+LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib
+LIBRARIES += opencv_core opencv_highgui opencv_imgproc opencv_imgcodecs opencv_videoio
+
+# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies
+# INCLUDE_DIRS += $(shell brew --prefix)/include
+# LIBRARY_DIRS += $(shell brew --prefix)/lib
+
+# NCCL acceleration switch (uncomment to build with NCCL)
+# https://github.com/NVIDIA/nccl (last tested version: v1.2.3-1+cuda8.0)
+# USE_NCCL := 1
+
+# Uncomment to use `pkg-config` to specify OpenCV library paths.
+# (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)
+# USE_PKG_CONFIG := 1
+
+# N.B. both build and distribute dirs are cleared on `make clean`
+BUILD_DIR := build
+DISTRIBUTE_DIR := distribute
+
+# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171
+# DEBUG := 1
+
+# The ID of the GPU that 'make runtest' will use to run unit tests.
+TEST_GPUID := 0
+
+# enable pretty build (comment to see full commands)
+Q ?= @
diff --git a/24-Q3/ogrv.md b/24-Q3/ogrv.md
@@ -0,0 +1,31 @@
+# OpenGauss RISC-V
+
+> 本文档主要用来从零搭建OpenGauss RISC-V
+
+演示环境：[Fedora39](https://hub.docker.com/r/imbearchild/fedora-rv64)（Docker环境）
+
+## 环境搭建
+
+### 基础软件包
+
+```
+dnf update -y
+dnf install wget tar gzip gcc gcc-g++ lbzip2 -y
+```
+
+### gcc10.3
+
+```
+mkdir /user/local/gcc-10.3.0 -p
+cd /opt
+wget https://mirrors.aliyun.com/gnu/gcc/gcc-10.3.0/gcc-10.3.0.tar.gz
+tar -xvf gcc-10.3.0.tar.gz
+cd gcc-10.3.0/
+./contrib/download_prerequisites
+# 参考https://github.com/gcc-mirror/gcc/commit/2701442d0cf6292f6624443c15813d6d1a3562fe做修改
+mkdir build; cd build
+../configure --prefix=/user/local/gcc-10.3.0 --build=riscv64-unknown-linux-gnu --target=riscv64-unknown-linux-gnu --enable-languages=c,c++ --disable-multilib
+make; make install
+```
+
+### python3.11.6