Add the depndency checking in install-sh script

.gitignore

@@ -1,6 +1,5 @@
 obj/*
 bin/*
-tools/*
 data/*.model
 others/*
 latex/*
@@ -13,3 +12,6 @@ example/*.xml
 example/model/*.xml
 *.dat
 log
+config.mk
+Makefile
+tools/rapidxml*

.gitmodules

@@ -0,0 +1,6 @@
+[submodule "tools/libcumatrix"]
+	path = tools/libcumatrix
+	url = https://github.com/MnO2/libcumatrix.git
+[submodule "tools/utility"]
+	path = tools/utility
+	url = https://github.com/MnO2/utility.git

.travis.yml

@@ -0,0 +1,31 @@
+# Use a build matrix to do two builds in parallel:
+# one using CMake, and one using make.
+language: cpp
+
+# Cache Ubuntu apt packages.
+cache: apt
+
+compiler: gcc
+
+before_install:
+  - export NUM_THREADS=4
+  - export SCRIPTS=./scripts/travis
+
+install:
+  - sudo -E $SCRIPTS/travis_install.sh
+
+before_script:
+  - export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib:/usr/local/cuda/lib64
+  - export PATH=$PATH:/usr/local/cuda/bin
+
+script: $SCRIPTS/travis_build_and_test.sh
+
+notifications:
+# Emails are sent to the committer's git-configured email address by default,
+# but only if they have access to the repository.  To enable Travis on your
+# public fork of Caffe, just go to travis-ci.org and flip the switch on for
+# your Caffe fork.  To configure your git email address, use:
+#     git config --global user.email me@example.com
+  email:
+    on_success: always
+    on_failure: always

Makefile → Makefile.in

@@ -1,10 +1,12 @@
-CC=gcc
-CXX=g++
+BASEPROJ?=$(shell pwd)
+
+include config.mk
+
+CFG_NVCC+= -arch=sm_21 -w #-Xcompiler "-Wall"
 CFLAGS=
-NVCC=nvcc -arch=sm_21 -w #-Xcompiler "-Wall"
 
-BOTON_UTIL_ROOT=tools/utility/
-CUMATRIX_ROOT=tools/libcumatrix/
+BOTON_UTIL_ROOT=tools/utility
+CUMATRIX_ROOT=tools/libcumatrix
 
 INCLUDE= -I ./ \
 	 -I include/ \
@@ -35,51 +37,64 @@ EXECUTABLES=nn-train\
 
 EXECUTABLES:=$(addprefix bin/, $(EXECUTABLES))
 
-.PHONY: debug all o3 dump_nrv ctags clean
+.PHONY: debug all o3 dump_nrv ctags clean depndencies test
+
+all: dependencies $(EXECUTABLES) ctags
+
+dependencies:
+	$(MAKE) -C tools/libcumatrix/ BASEPROJ=$(BASEPROJ)
+	$(MAKE) -C tools/utility/ BASEPROJ=$(BASEPROJ)
 
-all: $(EXECUTABLES) ctags
 
 o3: CFLAGS+=-O3
 o3: all
 debug: CFLAGS+=-g -DDEBUG
 debug: all
-dump_nrv: NVCC+=-Xcompiler "-fdump-tree-nrv" all
+dump_nrv: CFG_NVCC+=-Xcompiler "-fdump-tree-nrv" all
 dump_nrv: all
 
 vpath %.h include/
 vpath %.cpp src/
 vpath %.cu src/
 
-OBJDIR:=obj/
+OBJDIR:=obj
 OBJ:=$(addprefix $(OBJDIR)/, $(addsuffix .o,$(basename $(SOURCES))))
 
 $(OBJDIR):
 	@mkdir -p $(OBJDIR)
 
 LIBRARY=-lpbar -lcumatrix
 CUDA_LIBRARY=-lcuda -lcudart -lcublas
-LIBRARY_PATH=-L$(BOTON_UTIL_ROOT)/lib/ -L$(CUMATRIX_ROOT)/lib -L/usr/local/cuda/lib64
+LIBRARY_PATH=-L$(BOTON_UTIL_ROOT)/lib/ -L$(CUMATRIX_ROOT)/lib -L$(CFG_CUDA_LIBPATH)
 
 $(EXECUTABLES): bin/% : $(OBJ) $(OBJDIR)/%.o
-	$(CXX) -o $@ $(CFLAGS) -std=c++0x $(INCLUDE) $^ $(LIBRARY_PATH) $(LIBRARY) $(CUDA_LIBRARY)
+	$(CFG_CXX) -o $@ $(CFLAGS) -std=c++0x $(INCLUDE) $^ $(LIBRARY_PATH) $(LIBRARY) $(CUDA_LIBRARY)
 
 # +==============================+
 # +===== Other Phony Target =====+
 # +==============================+
 $(OBJDIR)/%.o: %.cpp
-	$(CXX) $(CPPFLAGS) -std=c++0x -o $@ -c $<
+	$(CFG_CXX) $(CPPFLAGS) -std=c++0x -o $@ -c $<
 
 $(OBJDIR)/%.o: %.cu include/%.h
-	$(NVCC) $(CFLAGS) $(INCLUDE) -o $@ -c $<
+	$(CFG_NVCC) $(CFLAGS) $(INCLUDE) -o $@ -c $<
 
 $(OBJDIR)/%.d: %.cpp | $(OBJDIR)
-	@$(CXX) -MM $(CPPFLAGS) $< > $@.$$$$; \
+	@$(CFG_CXX) -MM $(CPPFLAGS) $< > $@.$$$$; \
 	sed 's,\($*\)\.o[ :]*,$(OBJDIR)/\1.o $@ : ,g' < $@.$$$$ > $@;\
 	rm -f $@.$$$$
 
 -include $(addprefix $(OBJDIR)/,$(subst .cpp,.d,$(SOURCES)))
 
 ctags:
 	@if command -v ctags >/dev/null 2>&1; then ctags -R --langmap=C:+.cu *; fi
+
 clean:
+	$(MAKE) clean -C tools/libcumatrix/ BASEPROJ=$(BASEPROJ)
+	$(MAKE) clean -C tools/utility/ BASEPROJ=$(BASEPROJ)
 	rm -rf $(EXECUTABLES) $(OBJDIR)/*
+
+
+# Dummy make test for travis-ci
+test:
+	$(shell exit 0)

README.md

@@ -2,6 +2,8 @@ libdnn 中文說明
 ======
 (See English version below)
 
+[![Build Status](https://travis-ci.org/MnO2/libdnn.svg?branch=master)](https://travis-ci.org/MnO2/libdnn)
+
 [libdnn](https://github.com/botonchou/libdnn) 是一個輕量、好讀、人性化的**深層學習**函式庫。由 C++ 和 CUDA 撰寫而成，目的是讓開發人員、研究人員、或任何有興趣的人都可以輕鬆體驗並駕馭深層學習所帶來的威力。
 
 詳細的教學和使用說明，請參考[Wiki](https://github.com/botonchou/libdnn/wiki)