Add and update samples for cuda 11.1 support

This commit is contained in:
Mahesh Doijade
2020-09-15 23:45:56 +05:30
parent e6ce58fef4
commit cd76533c3f
453 changed files with 5227 additions and 9325 deletions

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################################################################################
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of NVIDIA CORPORATION nor the names of its
# contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
################################################################################
#
# Makefile project only supported on Mac OS X and Linux Platforms)
#
################################################################################
# Location of the CUDA Toolkit
CUDA_PATH ?= /usr/local/cuda
##############################
# start deprecated interface #
##############################
ifeq ($(x86_64),1)
$(info WARNING - x86_64 variable has been deprecated)
$(info WARNING - please use TARGET_ARCH=x86_64 instead)
TARGET_ARCH ?= x86_64
endif
ifeq ($(ARMv7),1)
$(info WARNING - ARMv7 variable has been deprecated)
$(info WARNING - please use TARGET_ARCH=armv7l instead)
TARGET_ARCH ?= armv7l
endif
ifeq ($(aarch64),1)
$(info WARNING - aarch64 variable has been deprecated)
$(info WARNING - please use TARGET_ARCH=aarch64 instead)
TARGET_ARCH ?= aarch64
endif
ifeq ($(ppc64le),1)
$(info WARNING - ppc64le variable has been deprecated)
$(info WARNING - please use TARGET_ARCH=ppc64le instead)
TARGET_ARCH ?= ppc64le
endif
ifneq ($(GCC),)
$(info WARNING - GCC variable has been deprecated)
$(info WARNING - please use HOST_COMPILER=$(GCC) instead)
HOST_COMPILER ?= $(GCC)
endif
ifneq ($(abi),)
$(error ERROR - abi variable has been removed)
endif
############################
# end deprecated interface #
############################
# architecture
HOST_ARCH := $(shell uname -m)
TARGET_ARCH ?= $(HOST_ARCH)
ifneq (,$(filter $(TARGET_ARCH),x86_64 aarch64 sbsa ppc64le armv7l))
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifneq (,$(filter $(TARGET_ARCH),x86_64 aarch64 sbsa ppc64le))
TARGET_SIZE := 64
else ifneq (,$(filter $(TARGET_ARCH),armv7l))
TARGET_SIZE := 32
endif
else
TARGET_SIZE := $(shell getconf LONG_BIT)
endif
else
$(error ERROR - unsupported value $(TARGET_ARCH) for TARGET_ARCH!)
endif
# sbsa and aarch64 systems look similar. Need to differentiate them at host level for now.
ifeq ($(HOST_ARCH),aarch64)
ifeq ($(CUDA_PATH)/targets/sbsa-linux,$(shell ls -1d $(CUDA_PATH)/targets/sbsa-linux))
HOST_ARCH := sbsa
TARGET_ARCH := sbsa
endif
endif
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifeq (,$(filter $(HOST_ARCH)-$(TARGET_ARCH),aarch64-armv7l x86_64-armv7l x86_64-aarch64 x86_64-sbsa x86_64-ppc64le))
$(error ERROR - cross compiling from $(HOST_ARCH) to $(TARGET_ARCH) is not supported!)
endif
endif
# When on native aarch64 system with userspace of 32-bit, change TARGET_ARCH to armv7l
ifeq ($(HOST_ARCH)-$(TARGET_ARCH)-$(TARGET_SIZE),aarch64-aarch64-32)
TARGET_ARCH = armv7l
endif
# operating system
HOST_OS := $(shell uname -s 2>/dev/null | tr "[:upper:]" "[:lower:]")
TARGET_OS ?= $(HOST_OS)
ifeq (,$(filter $(TARGET_OS),linux darwin qnx android))
$(error ERROR - unsupported value $(TARGET_OS) for TARGET_OS!)
endif
# host compiler
ifeq ($(TARGET_OS),darwin)
ifeq ($(shell expr `xcodebuild -version | grep -i xcode | awk '{print $$2}' | cut -d'.' -f1` \>= 5),1)
HOST_COMPILER ?= clang++
endif
else ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifeq ($(HOST_ARCH)-$(TARGET_ARCH),x86_64-armv7l)
ifeq ($(TARGET_OS),linux)
HOST_COMPILER ?= arm-linux-gnueabihf-g++
else ifeq ($(TARGET_OS),qnx)
ifeq ($(QNX_HOST),)
$(error ERROR - QNX_HOST must be passed to the QNX host toolchain)
endif
ifeq ($(QNX_TARGET),)
$(error ERROR - QNX_TARGET must be passed to the QNX target toolchain)
endif
export QNX_HOST
export QNX_TARGET
HOST_COMPILER ?= $(QNX_HOST)/usr/bin/arm-unknown-nto-qnx6.6.0eabi-g++
else ifeq ($(TARGET_OS),android)
HOST_COMPILER ?= arm-linux-androideabi-g++
endif
else ifeq ($(TARGET_ARCH),aarch64)
ifeq ($(TARGET_OS), linux)
HOST_COMPILER ?= aarch64-linux-gnu-g++
else ifeq ($(TARGET_OS),qnx)
ifeq ($(QNX_HOST),)
$(error ERROR - QNX_HOST must be passed to the QNX host toolchain)
endif
ifeq ($(QNX_TARGET),)
$(error ERROR - QNX_TARGET must be passed to the QNX target toolchain)
endif
export QNX_HOST
export QNX_TARGET
HOST_COMPILER ?= $(QNX_HOST)/usr/bin/aarch64-unknown-nto-qnx7.0.0-g++
else ifeq ($(TARGET_OS), android)
HOST_COMPILER ?= aarch64-linux-android-clang++
endif
else ifeq ($(TARGET_ARCH),sbsa)
HOST_COMPILER ?= aarch64-linux-gnu-g++
else ifeq ($(TARGET_ARCH),ppc64le)
HOST_COMPILER ?= powerpc64le-linux-gnu-g++
endif
endif
HOST_COMPILER ?= g++
NVCC := $(CUDA_PATH)/bin/nvcc -ccbin $(HOST_COMPILER)
# internal flags
NVCCFLAGS := -m${TARGET_SIZE}
CCFLAGS :=
LDFLAGS :=
# build flags
ifeq ($(TARGET_OS),darwin)
LDFLAGS += -rpath $(CUDA_PATH)/lib
CCFLAGS += -arch $(HOST_ARCH)
else ifeq ($(HOST_ARCH)-$(TARGET_ARCH)-$(TARGET_OS),x86_64-armv7l-linux)
LDFLAGS += --dynamic-linker=/lib/ld-linux-armhf.so.3
CCFLAGS += -mfloat-abi=hard
else ifeq ($(TARGET_OS),android)
LDFLAGS += -pie
CCFLAGS += -fpie -fpic -fexceptions
endif
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-linux)
ifneq ($(TARGET_FS),)
GCCVERSIONLTEQ46 := $(shell expr `$(HOST_COMPILER) -dumpversion` \<= 4.6)
ifeq ($(GCCVERSIONLTEQ46),1)
CCFLAGS += --sysroot=$(TARGET_FS)
endif
LDFLAGS += --sysroot=$(TARGET_FS)
LDFLAGS += -rpath-link=$(TARGET_FS)/lib
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib/arm-linux-gnueabihf
endif
endif
ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-linux)
ifneq ($(TARGET_FS),)
GCCVERSIONLTEQ46 := $(shell expr `$(HOST_COMPILER) -dumpversion` \<= 4.6)
ifeq ($(GCCVERSIONLTEQ46),1)
CCFLAGS += --sysroot=$(TARGET_FS)
endif
LDFLAGS += --sysroot=$(TARGET_FS)
LDFLAGS += -rpath-link=$(TARGET_FS)/lib -L$(TARGET_FS)/lib
LDFLAGS += -rpath-link=$(TARGET_FS)/lib/aarch64-linux-gnu -L$(TARGET_FS)/lib/aarch64-linux-gnu
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib -L$(TARGET_FS)/usr/lib
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib/aarch64-linux-gnu -L$(TARGET_FS)/usr/lib/aarch64-linux-gnu
LDFLAGS += --unresolved-symbols=ignore-in-shared-libs
CCFLAGS += -isystem=$(TARGET_FS)/usr/include -I$(TARGET_FS)/usr/include
CCFLAGS += -isystem=$(TARGET_FS)/usr/include/aarch64-linux-gnu -I$(TARGET_FS)/usr/include/aarch64-linux-gnu
endif
endif
ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-qnx)
CCFLAGS += -DWIN_INTERFACE_CUSTOM -I/usr/include/aarch64-qnx-gnu
LDFLAGS += -lsocket
LDFLAGS += -rpath=/usr/lib/aarch64-qnx-gnu -L/usr/lib/aarch64-qnx-gnu
ifneq ($(TARGET_FS),)
LDFLAGS += -rpath=$(TARGET_FS)/usr/lib -L $(TARGET_FS)/usr/lib
LDFLAGS += -rpath=$(TARGET_FS)/usr/libnvidia -L $(TARGET_FS)/usr/libnvidia
endif
ifdef TARGET_OVERRIDE # cuda toolkit targets override
NVCCFLAGS += -target-dir $(TARGET_OVERRIDE)
endif
endif
endif
# Install directory of different arch
CUDA_INSTALL_TARGET_DIR :=
ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-linux)
CUDA_INSTALL_TARGET_DIR = targets/armv7-linux-gnueabihf/
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-linux)
CUDA_INSTALL_TARGET_DIR = targets/aarch64-linux/
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),sbsa-linux)
CUDA_INSTALL_TARGET_DIR = targets/sbsa-linux/
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-android)
CUDA_INSTALL_TARGET_DIR = targets/armv7-linux-androideabi/
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-android)
CUDA_INSTALL_TARGET_DIR = targets/aarch64-linux-androideabi/
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-qnx)
CUDA_INSTALL_TARGET_DIR = targets/ARMv7-linux-QNX/
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-qnx)
CUDA_INSTALL_TARGET_DIR = targets/aarch64-qnx/
else ifeq ($(TARGET_ARCH),ppc64le)
CUDA_INSTALL_TARGET_DIR = targets/ppc64le-linux/
endif
# Debug build flags
ifeq ($(dbg),1)
NVCCFLAGS += -g -G
BUILD_TYPE := debug
else
BUILD_TYPE := release
endif
ALL_CCFLAGS :=
ALL_CCFLAGS += $(NVCCFLAGS)
ALL_CCFLAGS += $(EXTRA_NVCCFLAGS)
ALL_CCFLAGS += $(addprefix -Xcompiler ,$(CCFLAGS))
ALL_CCFLAGS += $(addprefix -Xcompiler ,$(EXTRA_CCFLAGS))
SAMPLE_ENABLED := 1
# This sample is not supported on Mac OSX
ifeq ($(TARGET_OS),darwin)
$(info >>> WARNING - watershedSegmentationNPP is not supported on Mac OSX - waiving sample <<<)
SAMPLE_ENABLED := 0
endif
ALL_LDFLAGS :=
ALL_LDFLAGS += $(ALL_CCFLAGS)
ALL_LDFLAGS += $(addprefix -Xlinker ,$(LDFLAGS))
ALL_LDFLAGS += $(addprefix -Xlinker ,$(EXTRA_LDFLAGS))
# Common includes and paths for CUDA
INCLUDES := -I../../Common
LIBRARIES :=
################################################################################
# Gencode arguments
SMS ?=
ifeq ($(GENCODE_FLAGS),)
# Generate SASS code for each SM architecture listed in $(SMS)
$(foreach sm,$(SMS),$(eval GENCODE_FLAGS += -gencode arch=compute_$(sm),code=sm_$(sm)))
ifeq ($(SMS),)
# Generate PTX code from SM 35
GENCODE_FLAGS += -gencode arch=compute_35,code=compute_35
endif
# Generate PTX code from the highest SM architecture in $(SMS) to guarantee forward-compatibility
HIGHEST_SM := $(lastword $(sort $(SMS)))
ifneq ($(HIGHEST_SM),)
GENCODE_FLAGS += -gencode arch=compute_$(HIGHEST_SM),code=compute_$(HIGHEST_SM)
endif
endif
LIBRARIES += -lnppisu_static -lnppif_static -lnppc_static -lculibos
ifeq ($(SAMPLE_ENABLED),0)
EXEC ?= @echo "[@]"
endif
################################################################################
# Target rules
all: build
build: watershedSegmentationNPP
check.deps:
ifeq ($(SAMPLE_ENABLED),0)
@echo "Sample will be waived due to the above missing dependencies"
else
@echo "Sample is ready - all dependencies have been met"
endif
watershedSegmentationNPP.o:watershedSegmentationNPP.cpp
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
watershedSegmentationNPP: watershedSegmentationNPP.o
$(EXEC) $(NVCC) $(ALL_LDFLAGS) $(GENCODE_FLAGS) -o $@ $+ $(LIBRARIES)
$(EXEC) mkdir -p ../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)
$(EXEC) cp $@ ../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)
run: build
$(EXEC) ./watershedSegmentationNPP
clean:
rm -f watershedSegmentationNPP watershedSegmentationNPP.o
rm -rf ../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)/watershedSegmentationNPP
clobber: clean

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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE entry SYSTEM "SamplesInfo.dtd">
<entry>
<name>watershedSegmentationNPP</name>
<description><![CDATA[An NPP CUDA Sample that demonstrates how to use the NPP watershed segmentation function.]]></description>
<devicecompilation>whole</devicecompilation>
<fallback_min_ptx>true</fallback_min_ptx>
<includepaths>
<path>./</path>
<path>../</path>
<path>../../common/inc</path>
</includepaths>
<keyconcepts>
<concept level="basic">Performance Strategies</concept>
<concept level="basic">Image Processing</concept>
<concept level="basic">NPP Library</concept>
</keyconcepts>
<keywords>
<keyword>CUDA</keyword>
<keyword>NPP</keyword>
<keyword>Image Processing</keyword>
</keywords>
<libraries>
<library>nppisu_static</library>
<library>nppif_static</library>
<library>nppc_static</library>
<library>culibos</library>
</libraries>
<librarypaths>
</librarypaths>
<nsight_eclipse>true</nsight_eclipse>
<primary_file>watershedSegmentationNPP.cpp</primary_file>
<required_dependencies>
<dependency>NPP</dependency>
</required_dependencies>
<scopes>
<scope>1:CUDA Basic Topics</scope>
<scope>1:Performance Strategies</scope>
<scope>2:Image Processing</scope>
<scope>2:Computer Vision</scope>
</scopes>
<sm-arch>sm35</sm-arch>
<sm-arch>sm37</sm-arch>
<sm-arch>sm50</sm-arch>
<sm-arch>sm52</sm-arch>
<sm-arch>sm60</sm-arch>
<sm-arch>sm61</sm-arch>
<sm-arch>sm70</sm-arch>
<sm-arch>sm72</sm-arch>
<sm-arch>sm75</sm-arch>
<sm-arch>sm80</sm-arch>
<sm-arch>sm86</sm-arch>
<supported_envs>
<env>
<arch>x86_64</arch>
<platform>linux</platform>
</env>
<env>
<platform>windows7</platform>
</env>
<env>
<arch>arm</arch>
</env>
<env>
<arch>ppc64le</arch>
<platform>linux</platform>
</env>
</supported_envs>
<supported_sm_architectures>
<include>all</include>
</supported_sm_architectures>
<title>Watershed Segmentation NPP</title>
<type>exe</type>
</entry>

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# watershedSegmentationNPP - Watershed Segmentation NPP
## Description
An NPP CUDA Sample that demonstrates how to use the NPP watershed segmentation function.
## Key Concepts
Performance Strategies, Image Processing, NPP Library
## Supported SM Architectures
[SM 3.5 ](https://developer.nvidia.com/cuda-gpus) [SM 3.7 ](https://developer.nvidia.com/cuda-gpus) [SM 5.0 ](https://developer.nvidia.com/cuda-gpus) [SM 5.2 ](https://developer.nvidia.com/cuda-gpus) [SM 6.0 ](https://developer.nvidia.com/cuda-gpus) [SM 6.1 ](https://developer.nvidia.com/cuda-gpus) [SM 7.0 ](https://developer.nvidia.com/cuda-gpus) [SM 7.2 ](https://developer.nvidia.com/cuda-gpus) [SM 7.5 ](https://developer.nvidia.com/cuda-gpus) [SM 8.0 ](https://developer.nvidia.com/cuda-gpus) [SM 8.6 ](https://developer.nvidia.com/cuda-gpus)
## Supported OSes
Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
## CUDA APIs involved
## Dependencies needed to build/run
[NPP](../../README.md#npp)
## Prerequisites
Download and install the [CUDA Toolkit 11.1](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run
### Windows
The Windows samples are built using the Visual Studio IDE. Solution files (.sln) are provided for each supported version of Visual Studio, using the format:
```
*_vs<version>.sln - for Visual Studio <version>
```
Each individual sample has its own set of solution files in its directory:
To build/examine all the samples at once, the complete solution files should be used. To build/examine a single sample, the individual sample solution files should be used.
> **Note:** Some samples require that the Microsoft DirectX SDK (June 2010 or newer) be installed and that the VC++ directory paths are properly set up (**Tools > Options...**). Check DirectX Dependencies section for details."
### Linux
The Linux samples are built using makefiles. To use the makefiles, change the current directory to the sample directory you wish to build, and run make:
```
$ cd <sample_dir>
$ make
```
The samples makefiles can take advantage of certain options:
* **TARGET_ARCH=<arch>** - cross-compile targeting a specific architecture. Allowed architectures are x86_64, ppc64le, armv7l.
By default, TARGET_ARCH is set to HOST_ARCH. On a x86_64 machine, not setting TARGET_ARCH is the equivalent of setting TARGET_ARCH=x86_64.<br/>
`$ make TARGET_ARCH=x86_64` <br/> `$ make TARGET_ARCH=ppc64le` <br/> `$ make TARGET_ARCH=armv7l` <br/>
See [here](http://docs.nvidia.com/cuda/cuda-samples/index.html#cross-samples) for more details.
* **dbg=1** - build with debug symbols
```
$ make dbg=1
```
* **SMS="A B ..."** - override the SM architectures for which the sample will be built, where `"A B ..."` is a space-delimited list of SM architectures. For example, to generate SASS for SM 50 and SM 60, use `SMS="50 60"`.
```
$ make SMS="50 60"
```
* **HOST_COMPILER=<host_compiler>** - override the default g++ host compiler. See the [Linux Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#system-requirements) for a list of supported host compilers.
```
$ make HOST_COMPILER=g++
```
## References (for more details)

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/* Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of NVIDIA CORPORATION nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#if defined(WIN32) || defined(_WIN32) || defined(WIN64) || defined(_WIN64)
# define WINDOWS_LEAN_AND_MEAN
# define NOMINMAX
# include <windows.h>
# pragma warning(disable:4819)
#endif
#include <stdio.h>
#include <string.h>
#include <fstream>
#include <npp.h>
#include <helper_cuda.h>
// Note: If you want to view these images we HIGHLY recommend using imagej which is free on the internet and works on most platforms
// because it is one of the few image viewing apps that can display 32 bit integer image data. While it normalizes the data
// to floating point values for viewing it still provides a good representation of the relative brightness of each label value.
//
// The files read and written by this sample app use RAW image format, that is, only the image data itself exists in the files
// with no image format information. When viewing RAW files with imagej just enter the image size and bit depth values that
// are part of the file name when requested by imagej.
//
#define NUMBER_OF_IMAGES 3
Npp8u * pInputImageDev[NUMBER_OF_IMAGES];
Npp8u * pInputImageHost[NUMBER_OF_IMAGES];
Npp8u * pSegmentationScratchBufferDev[NUMBER_OF_IMAGES];
Npp8u * pSegmentsDev[NUMBER_OF_IMAGES];
Npp8u * pSegmentsHost[NUMBER_OF_IMAGES];
Npp32u * pSegmentLabelsOutputBufferDev[NUMBER_OF_IMAGES];
Npp32u * pSegmentLabelsOutputBufferHost[NUMBER_OF_IMAGES];
void tearDown() // Clean up and tear down
{
for (int j = 0; j < NUMBER_OF_IMAGES; j++)
{
if (pSegmentLabelsOutputBufferDev[j] != 0)
cudaFree(pSegmentLabelsOutputBufferDev[j]);
if (pSegmentationScratchBufferDev[j] != 0)
cudaFree(pSegmentationScratchBufferDev[j]);
if (pSegmentsDev[j] != 0)
cudaFree(pSegmentsDev[j]);
if (pInputImageDev[j] != 0)
cudaFree(pInputImageDev[j]);
if (pSegmentLabelsOutputBufferHost[j] != 0)
free(pSegmentLabelsOutputBufferHost[j]);
if (pSegmentsHost[j] != 0)
free(pSegmentsHost[j]);
if (pInputImageHost[j] != 0)
free(pInputImageHost[j]);
}
}
const std::string& SegmentsOutputFile0 = "Lena_Segments_8Way_512x512_8u.raw";
const std::string& SegmentsOutputFile1 = "CT_skull_Segments_8Way_512x512_8u.raw";
const std::string& SegmentsOutputFile2 = "Rocks_Segments_8Way_512x512_8u.raw";
const std::string& SegmentBoundariesOutputFile0 = "Lena_SegmentBoundaries_8Way_512x512_8u.raw";
const std::string& SegmentBoundariesOutputFile1 = "CT_skull_SegmentBoundaries_8Way_512x512_8u.raw";
const std::string& SegmentBoundariesOutputFile2 = "Rocks_SegmentBoundaries_8Way_512x512_8u.raw";
const std::string& SegmentsWithContrastingBoundariesOutputFile0 = "Lena_SegmentsWithContrastingBoundaries_8Way_512x512_8u.raw";
const std::string& SegmentsWithContrastingBoundariesOutputFile1 = "CT_skull_SegmentsWithContrastingBoundaries_8Way_512x512_8u.raw";
const std::string& SegmentsWithContrastingBoundariesOutputFile2 = "Rocks_SegmentsWithContrastingBoundaries_8Way_512x512_8u.raw";
const std::string& CompressedSegmentLabelsOutputFile0 = "Lena_CompressedSegmentLabels_8Way_512x512_32u.raw";
const std::string& CompressedSegmentLabelsOutputFile1 = "CT_skull_CompressedSegmentLabels_8Way_512x512_32u.raw";
const std::string& CompressedSegmentLabelsOutputFile2 = "Rocks_CompressedSegmentLabels_8Way_512x512_32u.raw";
int
loadRaw8BitImage(Npp8u * pImage, int nWidth, int nHeight, int nImage)
{
FILE * bmpFile;
size_t nSize;
if (nImage == 0)
{
if (nWidth != 512 || nHeight != 512)
return -1;
const char* fileName = "Lena_512x512_8u_Gray.raw";
const char* InputFile = sdkFindFilePath(fileName, ".");
if (InputFile == NULL)
{
printf("%s file not found.. exiting\n", fileName);
exit(EXIT_WAIVED);
}
bmpFile = fopen(InputFile, "rb");
}
else if (nImage == 1)
{
if (nWidth != 512 || nHeight != 512)
return -1;
const char* fileName = "CT_skull_512x512_8u_Gray.raw";
const char* InputFile = sdkFindFilePath(fileName, ".");
if (InputFile == NULL)
{
printf("%s file not found.. exiting\n", fileName);
exit(EXIT_WAIVED);
}
bmpFile = fopen(InputFile, "rb");
}
else if (nImage == 2)
{
if (nWidth != 512 || nHeight != 512)
return -1;
const char* fileName = "Rocks_512x512_8u_Gray.raw";
const char* InputFile = sdkFindFilePath(fileName, ".");
if (InputFile == NULL)
{
printf("%s file not found.. exiting\n", fileName);
exit(EXIT_WAIVED);
}
bmpFile = fopen(InputFile, "rb");
}
else
{
printf ("Input file load failed.\n");
return -1;
}
if (bmpFile == NULL)
{
printf ("Input file load failed.\n");
return -1;
}
nSize = fread(pImage, 1, nWidth * nHeight, bmpFile);
if (nSize < nWidth * nHeight)
{
printf ("Input file load failed.\n");
fclose(bmpFile);
return -1;
}
fclose(bmpFile);
printf ("Input file load succeeded.\n");
return 0;
}
int
main( int argc, char** argv )
{
int aSegmentationScratchBufferSize[NUMBER_OF_IMAGES];
int aSegmentLabelsOutputBufferSize[NUMBER_OF_IMAGES];
cudaError_t cudaError;
NppStatus nppStatus;
NppStreamContext nppStreamCtx;
FILE * bmpFile;
NppiNorm eNorm = nppiNormInf; // default to 8 way neighbor search
for (int j = 0; j < NUMBER_OF_IMAGES; j++)
{
pInputImageDev[j] = 0;
pInputImageHost[j] = 0;
pSegmentationScratchBufferDev[j] = 0;
pSegmentLabelsOutputBufferDev[j] = 0;
pSegmentLabelsOutputBufferHost[j] = 0;
pSegmentsDev[j] = 0;
pSegmentsHost[j] = 0;
}
nppStreamCtx.hStream = 0; // The NULL stream by default, set this to whatever your stream ID is if not the NULL stream.
cudaError = cudaGetDevice(&nppStreamCtx.nCudaDeviceId);
if (cudaError != cudaSuccess)
{
printf("CUDA error: no devices supporting CUDA.\n");
return NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY;
}
const NppLibraryVersion *libVer = nppGetLibVersion();
printf("NPP Library Version %d.%d.%d\n", libVer->major, libVer->minor, libVer->build);
int driverVersion, runtimeVersion;
cudaDriverGetVersion(&driverVersion);
cudaRuntimeGetVersion(&runtimeVersion);
printf("CUDA Driver Version: %d.%d\n", driverVersion/1000, (driverVersion%100)/10);
printf("CUDA Runtime Version: %d.%d\n\n", runtimeVersion/1000, (runtimeVersion%100)/10);
cudaError = cudaDeviceGetAttribute(&nppStreamCtx.nCudaDevAttrComputeCapabilityMajor,
cudaDevAttrComputeCapabilityMajor,
nppStreamCtx.nCudaDeviceId);
if (cudaError != cudaSuccess)
return NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY;
cudaError = cudaDeviceGetAttribute(&nppStreamCtx.nCudaDevAttrComputeCapabilityMinor,
cudaDevAttrComputeCapabilityMinor,
nppStreamCtx.nCudaDeviceId);
if (cudaError != cudaSuccess)
return NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY;
cudaError = cudaStreamGetFlags(nppStreamCtx.hStream, &nppStreamCtx.nStreamFlags);
cudaDeviceProp oDeviceProperties;
cudaError = cudaGetDeviceProperties(&oDeviceProperties, nppStreamCtx.nCudaDeviceId);
nppStreamCtx.nMultiProcessorCount = oDeviceProperties.multiProcessorCount;
nppStreamCtx.nMaxThreadsPerMultiProcessor = oDeviceProperties.maxThreadsPerMultiProcessor;
nppStreamCtx.nMaxThreadsPerBlock = oDeviceProperties.maxThreadsPerBlock;
nppStreamCtx.nSharedMemPerBlock = oDeviceProperties.sharedMemPerBlock;
NppiSize oSizeROI[NUMBER_OF_IMAGES];
for (int nImage = 0; nImage < NUMBER_OF_IMAGES; nImage++)
{
if (nImage == 0)
{
oSizeROI[nImage].width = 512;
oSizeROI[nImage].height = 512;
}
else if (nImage == 1)
{
oSizeROI[nImage].width = 512;
oSizeROI[nImage].height = 512;
}
else if (nImage == 2)
{
oSizeROI[nImage].width = 512;
oSizeROI[nImage].height = 512;
}
// cudaMallocPitch OR cudaMalloc can be used here, in this sample case width == pitch.
cudaError = cudaMalloc ((void**)&pInputImageDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u) * oSizeROI[nImage].height);
if (cudaError != cudaSuccess)
return NPP_MEMORY_ALLOCATION_ERR;
cudaError = cudaMalloc ((void**)&pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp32u) * oSizeROI[nImage].height);
if (cudaError != cudaSuccess)
return NPP_MEMORY_ALLOCATION_ERR;
pInputImageHost[nImage] = reinterpret_cast<Npp8u *>(malloc(oSizeROI[nImage].width * sizeof(Npp8u) * oSizeROI[nImage].height));
pSegmentsHost[nImage] = reinterpret_cast<Npp8u *>(malloc(oSizeROI[nImage].width * sizeof(Npp32u) * oSizeROI[nImage].height));
nppStatus = nppiSegmentWatershedGetBufferSize_8u_C1R(oSizeROI[nImage], &aSegmentationScratchBufferSize[nImage]);
cudaError = cudaMalloc ((void **)&pSegmentationScratchBufferDev[nImage], aSegmentationScratchBufferSize[nImage]);
if (cudaError != cudaSuccess)
return NPP_MEMORY_ALLOCATION_ERR;
// Output label marker buffers are only needed if you want to same the generated segmentation labels, they ARE compatible with NPP UF generated labels.
// Requesting segmentation output may slightly decrease segmentation function performance. Regardless of the pitch of the segmentation image
// the segment labels output buffer will have a pitch of oSizeROI[nImage].width * sizeof(Npp32u).
aSegmentLabelsOutputBufferSize[nImage] = oSizeROI[nImage].width * sizeof(Npp32u) * oSizeROI[nImage].height;
cudaError = cudaMalloc ((void **)&pSegmentLabelsOutputBufferDev[nImage], aSegmentLabelsOutputBufferSize[nImage]);
if (cudaError != cudaSuccess)
return NPP_MEMORY_ALLOCATION_ERR;
pSegmentLabelsOutputBufferHost[nImage] = reinterpret_cast<Npp32u *>(malloc(oSizeROI[nImage].width * sizeof(Npp32u) * oSizeROI[nImage].height));
if (loadRaw8BitImage(pInputImageHost[nImage], oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height, nImage) == 0)
{
cudaError = cudaMemcpy2DAsync(pInputImageDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u), pInputImageHost[nImage],
oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height,
cudaMemcpyHostToDevice, nppStreamCtx.hStream);
// Make a second copy of the unaltered input image since this function works in place and we want to reuse the input image multiple times.
cudaError = cudaMemcpy2DAsync(pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u), pInputImageHost[nImage],
oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height,
cudaMemcpyHostToDevice, nppStreamCtx.hStream);
nppStatus = nppiSegmentWatershed_8u_C1IR_Ctx(pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u),
pSegmentLabelsOutputBufferDev[nImage], oSizeROI[nImage].width * sizeof(Npp32u), eNorm,
NPP_WATERSHED_SEGMENT_BOUNDARIES_NONE, oSizeROI[nImage], pSegmentationScratchBufferDev[nImage], nppStreamCtx);
if (nppStatus != NPP_SUCCESS)
{
if (nImage == 0)
printf("Lena segments 8Way 512x512 8u failed.\n");
else if (nImage == 1)
printf("CT skull segments 8Way 512x512 8u failed.\n");
else if (nImage == 2)
printf("Rocks segments 8Way 512x512 8u failed.\n");
tearDown();
return -1;
}
// Now compress the label markers output to make them easier to view.
int nCompressedLabelsScratchBufferSize;
Npp8u * pCompressedLabelsScratchBufferDev;
nppStatus = nppiCompressMarkerLabelsGetBufferSize_32u_C1R(oSizeROI[nImage].width * oSizeROI[nImage].height, &nCompressedLabelsScratchBufferSize);
if (nppStatus != NPP_NO_ERROR)
return nppStatus;
cudaError = cudaMalloc ((void **)&pCompressedLabelsScratchBufferDev, nCompressedLabelsScratchBufferSize);
if (cudaError != cudaSuccess)
return NPP_MEMORY_ALLOCATION_ERR;
int nCompressedLabelCount = 0;
nppStatus = nppiCompressMarkerLabelsUF_32u_C1IR(pSegmentLabelsOutputBufferDev[nImage], oSizeROI[nImage].width * sizeof(Npp32u), oSizeROI[nImage],
oSizeROI[nImage].width * oSizeROI[nImage].height, &nCompressedLabelCount,
pCompressedLabelsScratchBufferDev);
if (nppStatus != NPP_SUCCESS)
{
if (nImage == 0)
printf("Lena_CompressedLabelMarkersUF_8Way_512x512_32u failed.\n");
else if (nImage == 1)
printf("CT_Skull_CompressedLabelMarkersUF_8Way_512x512_32u failed.\n");
else if (nImage == 2)
printf("Rocks_CompressedLabelMarkersUF_8Way_512x512_32u failed.\n");
tearDown();
return -1;
}
// Copy segmented image to host
cudaError = cudaMemcpy2DAsync(pSegmentsHost[nImage], oSizeROI[nImage].width * sizeof(Npp8u),
pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height,
cudaMemcpyDeviceToHost, nppStreamCtx.hStream);
// Copy segment labels image to host
cudaError = cudaMemcpy2DAsync(pSegmentLabelsOutputBufferHost[nImage], oSizeROI[nImage].width * sizeof(Npp32u),
pSegmentLabelsOutputBufferDev[nImage], oSizeROI[nImage].width * sizeof(Npp32u), oSizeROI[nImage].width * sizeof(Npp32u), oSizeROI[nImage].height,
cudaMemcpyDeviceToHost, nppStreamCtx.hStream);
// Wait host image read backs to complete, not necessary if no need to synchronize
if ((cudaError = cudaStreamSynchronize(nppStreamCtx.hStream)) != cudaSuccess)
{
printf ("Post segmentation cudaStreamSynchronize failed\n");
tearDown();
return -1;
}
// Free single image scratch buffer
cudaFree(pCompressedLabelsScratchBufferDev);
// Save default segments file.
if (nImage == 0)
bmpFile = fopen(SegmentsOutputFile0.c_str(), "wb");
else if (nImage == 1)
bmpFile = fopen(SegmentsOutputFile1.c_str(), "wb");
else if (nImage == 2)
bmpFile = fopen(SegmentsOutputFile2.c_str(), "wb");
if (bmpFile == NULL)
return -1;
size_t nSize = 0;
for (int j = 0; j < oSizeROI[nImage].height; j++)
{
nSize += fwrite(&pSegmentsHost[nImage][j * oSizeROI[nImage].width], sizeof(Npp8u), oSizeROI[nImage].width, bmpFile);
}
fclose(bmpFile);
if (nImage == 0)
printf("Lena_Segments_8Way_512x512_8u succeeded.\n");
else if (nImage == 1)
printf("CT_Skull_Segments_8Way_512x512_8u succeeded.\n");
else if (nImage == 2)
printf("Rocks_Segments_8Way_512x512_8u succeeded.\n");
// Save segment labels file.
if (nImage == 0)
bmpFile = fopen(CompressedSegmentLabelsOutputFile0.c_str(), "wb");
else if (nImage == 1)
bmpFile = fopen(CompressedSegmentLabelsOutputFile1.c_str(), "wb");
else if (nImage == 2)
bmpFile = fopen(CompressedSegmentLabelsOutputFile2.c_str(), "wb");
if (bmpFile == NULL)
return -1;
nSize = 0;
for (int j = 0; j < oSizeROI[nImage].height; j++)
{
nSize += fwrite(&pSegmentLabelsOutputBufferHost[nImage][j * oSizeROI[nImage].width], sizeof(Npp32u), oSizeROI[nImage].width, bmpFile);
}
fclose(bmpFile);
if (nImage == 0)
printf("Lena_CompressedSegmentLabels_8Way_512x512_32u succeeded.\n");
else if (nImage == 1)
printf("CT_Skull_CompressedSegmentLabels_8Way_512x512_32u succeeded.\n");
else if (nImage == 2)
printf("Rocks_CompressedSegmentLabels_8Way_512x512_32u succeeded.\n");
// Now generate a segment boundaries only output image
// Make a second copy of the unaltered input image since this function works in place and we want to reuse the input image multiple times.
cudaError = cudaMemcpy2DAsync(pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u), pInputImageHost[nImage],
oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height,
cudaMemcpyHostToDevice, nppStreamCtx.hStream);
// We already generated segment labels images to skip that this time
nppStatus = nppiSegmentWatershed_8u_C1IR_Ctx(pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u),
0, 0, eNorm,
NPP_WATERSHED_SEGMENT_BOUNDARIES_ONLY, oSizeROI[nImage], pSegmentationScratchBufferDev[nImage], nppStreamCtx);
if (nppStatus != NPP_SUCCESS)
{
if (nImage == 0)
printf("Lena segment boundaries 8Way 512x512 8u failed.\n");
else if (nImage == 1)
printf("CT skull segment boundaries 8Way 512x512 8u failed.\n");
else if (nImage == 2)
printf("Rocks segment boundaries 8Way 512x512 8u failed.\n");
tearDown();
return -1;
}
// Copy segment boundaries image to host
cudaError = cudaMemcpy2DAsync(pSegmentsHost[nImage], oSizeROI[nImage].width * sizeof(Npp8u),
pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height,
cudaMemcpyDeviceToHost, nppStreamCtx.hStream);
// Wait host image read backs to complete, not necessary if no need to synchronize
if ((cudaError = cudaStreamSynchronize(nppStreamCtx.hStream)) != cudaSuccess)
{
printf ("Post segmentation cudaStreamSynchronize failed\n");
tearDown();
return -1;
}
if (nImage == 0)
bmpFile = fopen(SegmentBoundariesOutputFile0.c_str(), "wb");
else if (nImage == 1)
bmpFile = fopen(SegmentBoundariesOutputFile1.c_str(), "wb");
else if (nImage == 2)
bmpFile = fopen(SegmentBoundariesOutputFile2.c_str(), "wb");
if (bmpFile == NULL)
return -1;
nSize = 0;
for (int j = 0; j < oSizeROI[nImage].height; j++)
{
nSize += fwrite(&pSegmentsHost[nImage][j * oSizeROI[nImage].width], sizeof(Npp8u), oSizeROI[nImage].width, bmpFile);
}
fclose(bmpFile);
if (nImage == 0)
printf("Lena_SegmentBoundaries_8Way_512x512_8u succeeded.\n");
else if (nImage == 1)
printf("CT_Skull_SegmentBoundaries_8Way_512x512_8u succeeded.\n");
else if (nImage == 2)
printf("Rocks_SegmentBoundaries_8Way_512x512_8u succeeded.\n");
// Now generate a segmented with contrasting boundaries output image
// Make a second copy of the unaltered input image since this function works in place and we want to reuse the input image multiple times.
cudaError = cudaMemcpy2DAsync(pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u), pInputImageHost[nImage],
oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height,
cudaMemcpyHostToDevice, nppStreamCtx.hStream);
// We already generated segment labels images to skip that this time
nppStatus = nppiSegmentWatershed_8u_C1IR_Ctx(pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u),
0, 0, eNorm,
NPP_WATERSHED_SEGMENT_BOUNDARIES_CONTRAST, oSizeROI[nImage], pSegmentationScratchBufferDev[nImage], nppStreamCtx);
if (nppStatus != NPP_SUCCESS)
{
if (nImage == 0)
printf("Lena segments with contrasting boundaries 8Way 512x512 8u failed.\n");
else if (nImage == 1)
printf("CT skull segments with contrasting boundaries 8Way 512x512 8u failed.\n");
else if (nImage == 2)
printf("Rocks segments with contrasting boundaries 8Way 512x512 8u failed.\n");
tearDown();
return -1;
}
// Copy segment boundaries image to host
cudaError = cudaMemcpy2DAsync(pSegmentsHost[nImage], oSizeROI[nImage].width * sizeof(Npp8u),
pSegmentsDev[nImage], oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].width * sizeof(Npp8u), oSizeROI[nImage].height,
cudaMemcpyDeviceToHost, nppStreamCtx.hStream);
// Wait host image read backs to complete, not necessary if no need to synchronize
if ((cudaError = cudaStreamSynchronize(nppStreamCtx.hStream)) != cudaSuccess)
{
printf ("Post segmentation cudaStreamSynchronize failed\n");
tearDown();
return -1;
}
if (nImage == 0)
bmpFile = fopen(SegmentsWithContrastingBoundariesOutputFile0.c_str(), "wb");
else if (nImage == 1)
bmpFile = fopen(SegmentsWithContrastingBoundariesOutputFile1.c_str(), "wb");
else if (nImage == 2)
bmpFile = fopen(SegmentsWithContrastingBoundariesOutputFile2.c_str(), "wb");
if (bmpFile == NULL)
return -1;
nSize = 0;
for (int j = 0; j < oSizeROI[nImage].height; j++)
{
nSize += fwrite(&pSegmentsHost[nImage][j * oSizeROI[nImage].width], sizeof(Npp8u), oSizeROI[nImage].width, bmpFile);
}
fclose(bmpFile);
if (nImage == 0)
printf("Lena_SegmentsWithContrastingBoundaries_8Way_512x512_8u succeeded.\n");
else if (nImage == 1)
printf("CT_Skull_SegmentsWithContrastingBoundaries_8Way_512x512_8u succeeded.\n");
else if (nImage == 2)
printf("Rocks_SegmentsWithContrastingBoundaries_8Way_512x512_8u succeeded.\n");
}
}
tearDown();
return 0;
}

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Microsoft Visual Studio Solution File, Format Version 14.00
# Visual Studio 2015
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{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.ActiveCfg = Release|x64
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.Build.0 = Release|x64
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
EndGlobalSection
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@@ -0,0 +1,20 @@

Microsoft Visual Studio Solution File, Format Version 12.00
# Visual Studio 2017
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "watershedSegmentationNPP", "watershedSegmentationNPP_vs2017.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
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GlobalSection(SolutionConfigurationPlatforms) = preSolution
Debug|x64 = Debug|x64
Release|x64 = Release|x64
EndGlobalSection
GlobalSection(ProjectConfigurationPlatforms) = postSolution
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.ActiveCfg = Debug|x64
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.Build.0 = Debug|x64
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.ActiveCfg = Release|x64
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.Build.0 = Release|x64
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GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
EndGlobalSection
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@@ -0,0 +1,112 @@
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