COMPMID-417 Updated build system to not combined objects of the different levels of library

Until now we had:
core = core_obj
arm_compute = core_obj + arm_compute_obj
graph = core_obj + arm_compute_obj + graph_obj
But if an application link against more than one of these libraries then bad things happen.
Added version strings in the runtime library too (As it used to only be in Core objects)
Updated doxygen for how to compile the examples

Change-Id: I7aad6ecf75cfa8dca59f2ea093e13fb0314a3eb4
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/89743
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>

1 files changed, 17 insertions, 17 deletions

diff --git a/docs/00_introduction.dox b/docs/00_introduction.dox
index fb174eb289..767b9025ce 100644
--- a/docs/00_introduction.dox
+++ b/docs/00_introduction.dox
@@ -480,21 +480,21 @@ The examples get automatically built by scons as part of the build process of th
 
 To cross compile a NEON example for Linux 32bit:
 
-	arm-linux-gnueabihf-g++ examples/neon_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -mfpu=neon -L. -larm_compute -o neon_convolution
+	arm-linux-gnueabihf-g++ examples/neon_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -mfpu=neon -L. -larm_compute -larm_compute_core -o neon_convolution
 
 To cross compile a NEON example for Linux 64bit:
 
-	aarch64-linux-gnu-g++ examples/neon_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -L. -larm_compute -o neon_convolution
+	aarch64-linux-gnu-g++ examples/neon_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -L. -larm_compute -larm_compute_core -o neon_convolution
 
 (notice the only difference with the 32 bit command is that we don't need the -mfpu option and the compiler's name is different)
 
 To cross compile an OpenCL example for Linux 32bit:
 
-	arm-linux-gnueabihf-g++ examples/cl_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -mfpu=neon -L. -larm_compute -lOpenCL -o cl_convolution -DARM_COMPUTE_CL
+	arm-linux-gnueabihf-g++ examples/cl_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -mfpu=neon -L. -larm_compute -larm_compute_core -lOpenCL -o cl_convolution -DARM_COMPUTE_CL
 
 To cross compile an OpenCL example for Linux 64bit:
 
-	aarch64-linux-gnu-g++ examples/cl_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -L. -larm_compute -lOpenCL -o cl_convolution -DARM_COMPUTE_CL
+	aarch64-linux-gnu-g++ examples/cl_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -L. -larm_compute -larm_compute_core -lOpenCL -o cl_convolution -DARM_COMPUTE_CL
 
 (notice the only difference with the 32 bit command is that we don't need the -mfpu option and the compiler's name is different)
 
@@ -503,38 +503,38 @@ To cross compile the examples with the Graph API, such as graph_lenet.cpp, you n
 
 i.e. to cross compile the "graph_lenet" example for Linux 32bit:
 
-	arm-linux-gnueabihf-g++ examples/graph_lenet.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -mfpu=neon -L. -larm_compute -larm_compute_graph -lOpenCL -o graph_lenet -DARM_COMPUTE_CL
+	arm-linux-gnueabihf-g++ examples/graph_lenet.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -mfpu=neon -L. -larm_compute_graph -larm_compute -larm_compute_core -lOpenCL -o graph_lenet -DARM_COMPUTE_CL
 
 i.e. to cross compile the "graph_lenet" example for Linux 64bit:
 
-	aarch64-linux-gnu-g++ examples/graph_lenet.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -L. -larm_compute -lOpenCL -o graph_lenet -DARM_COMPUTE_CL
+	aarch64-linux-gnu-g++ examples/graph_lenet.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -L. -larm_compute_graph -larm_compute -larm_compute_core -lOpenCL -o graph_lenet -DARM_COMPUTE_CL
 
 (notice the only difference with the 32 bit command is that we don't need the -mfpu option and the compiler's name is different)
 
 To compile natively (i.e directly on an ARM device) for NEON for Linux 32bit:
 
-	g++ examples/neon_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -mfpu=neon -larm_compute -o neon_convolution
+	g++ examples/neon_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -mfpu=neon -larm_compute -larm_compute_core -o neon_convolution
 
 To compile natively (i.e directly on an ARM device) for NEON for Linux 64bit:
 
-	g++ examples/neon_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -larm_compute -o neon_convolution
+	g++ examples/neon_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -larm_compute -larm_compute_core -o neon_convolution
 
 (notice the only difference with the 32 bit command is that we don't need the -mfpu option)
 
 To compile natively (i.e directly on an ARM device) for OpenCL for Linux 32bit or Linux 64bit:
 
-	g++ examples/cl_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -larm_compute -lOpenCL -o cl_convolution -DARM_COMPUTE_CL
+	g++ examples/cl_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -larm_compute -larm_compute_core -lOpenCL -o cl_convolution -DARM_COMPUTE_CL
 
 To compile natively (i.e directly on an ARM device) the examples with the Graph API, such as graph_lenet.cpp, you need to link the library arm_compute_graph.so also.
 (notice the compute library has to be built with both neon and opencl enabled - neon=1 and opencl=1)
 
 i.e. to cross compile the "graph_lenet" example for Linux 32bit:
 
-	g++ examples/graph_lenet.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -mfpu=neon -L. -larm_compute -larm_compute_graph -lOpenCL -o graph_lenet -DARM_COMPUTE_CL
+	g++ examples/graph_lenet.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -mfpu=neon -L. -larm_compute_graph -larm_compute -larm_compute_core -lOpenCL -o graph_lenet -DARM_COMPUTE_CL
 
 i.e. to cross compile the "graph_lenet" example for Linux 64bit:
 
-	g++ examples/graph_lenet.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 L. -larm_compute -larm_compute_graph -lOpenCL -o graph_lenet -DARM_COMPUTE_CL
+	g++ examples/graph_lenet.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 L. -larm_compute_graph -larm_compute -larm_compute_core -lOpenCL -o graph_lenet -DARM_COMPUTE_CL
 
 (notice the only difference with the 32 bit command is that we don't need the -mfpu option)
 
@@ -593,24 +593,24 @@ Once you've got your Android standalone toolchain built and added to your path y
 To cross compile a NEON example:
 
 	#32 bit:
-	arm-linux-androideabi-clang++ examples/neon_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -larm_compute-static -L. -o neon_convolution_arm -static-libstdc++ -pie
+	arm-linux-androideabi-clang++ examples/neon_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -larm_compute-static -larm_compute_core-static -L. -o neon_convolution_arm -static-libstdc++ -pie
 	#64 bit:
-	aarch64-linux-android-g++ examples/neon_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -larm_compute-static -L. -o neon_convolution_aarch64 -static-libstdc++ -pie
+	aarch64-linux-android-g++ examples/neon_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -larm_compute-static -larm_compute_core-static -L. -o neon_convolution_aarch64 -static-libstdc++ -pie
 
 To cross compile an OpenCL example:
 
 	#32 bit:
-	arm-linux-androideabi-clang++ examples/cl_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -larm_compute-static -L. -o cl_convolution_arm -static-libstdc++ -pie -lOpenCL -DARM_COMPUTE_CL
+	arm-linux-androideabi-clang++ examples/cl_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -larm_compute-static -larm_compute_core-static -L. -o cl_convolution_arm -static-libstdc++ -pie -lOpenCL -DARM_COMPUTE_CL
 	#64 bit:
-	aarch64-linux-android-g++ examples/cl_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -larm_compute-static -L. -o cl_convolution_aarch64 -static-libstdc++ -pie -lOpenCL -DARM_COMPUTE_CL
+	aarch64-linux-android-g++ examples/cl_convolution.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -larm_compute-static -larm_compute_core-static -L. -o cl_convolution_aarch64 -static-libstdc++ -pie -lOpenCL -DARM_COMPUTE_CL
 
 To cross compile the examples with the Graph API, such as graph_lenet.cpp, you need to link the library arm_compute_graph also.
 (notice the compute library has to be built with both neon and opencl enabled - neon=1 and opencl=1)
 
 	#32 bit:
-	arm-linux-androideabi-clang++ examples/graph_lenet.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -larm_compute-static -larm_compute_graph-static -L. -o graph_lenet_arm -static-libstdc++ -pie -lOpenCL -DARM_COMPUTE_CL
+	arm-linux-androideabi-clang++ examples/graph_lenet.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -larm_compute_graph-static -larm_compute-static -larm_compute_core-static -L. -o graph_lenet_arm -static-libstdc++ -pie -lOpenCL -DARM_COMPUTE_CL
 	#64 bit:
-	aarch64-linux-android-g++ examples/graph_lenet.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -larm_compute-static -larm_compute_graph-static -L. -o graph_lenet_aarch64 -static-libstdc++ -pie -lOpenCL -DARM_COMPUTE_CL
+	aarch64-linux-android-g++ examples/graph_lenet.cpp utils/Utils.cpp -I. -Iinclude -std=c++11 -larm_compute_graph-static -larm_compute-static -larm_compute_core-static -L. -o graph_lenet_aarch64 -static-libstdc++ -pie -lOpenCL -DARM_COMPUTE_CL
 
 @note Due to some issues in older versions of the Mali OpenCL DDK (<= r13p0), we recommend to link arm_compute statically on Android.