Add and update samples for cuda 10.1 update 2 support

This commit is contained in:
Mahesh Doijade
2019-08-02 23:15:47 +05:30
parent 337815dbee
commit 58d0ceff18
118 changed files with 18252 additions and 54 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 $(TARGET_ARCH),x86_64 aarch64 ppc64le armv7l))
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifneq (,$(filter $(TARGET_ARCH),x86_64 aarch64 ppc64le))
TARGET_SIZE := 64
else ifneq (,$(filter $(TARGET_ARCH),armv7l))
TARGET_SIZE := 32
endif
else
TARGET_SIZE := $(shell getconf LONG_BIT)
endif
else
$(error ERROR - unsupported value $(TARGET_ARCH) for TARGET_ARCH!)
endif
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifeq (,$(filter $(HOST_ARCH)-$(TARGET_ARCH),aarch64-armv7l x86_64-armv7l x86_64-aarch64 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),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)/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
CCFLAGS += -isystem=$(TARGET_FS)/usr/include/aarch64-linux-gnu
endif
endif
endif
ifeq ($(TARGET_OS),qnx)
CCFLAGS += -DWIN_INTERFACE_CUSTOM
LDFLAGS += -lsocket
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),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)
$(info >>> WARNING - nvJPEG_encoder is not supported on Mac OSX - waiving sample <<<)
SAMPLE_ENABLED := 0
endif
# This sample is not supported on ARMv7
ifeq ($(TARGET_ARCH),armv7l)
$(info >>> WARNING - nvJPEG_encoder is not supported on ARMv7 - waiving sample <<<)
SAMPLE_ENABLED := 0
endif
# This sample is not supported on QNX
ifeq ($(TARGET_OS),qnx)
$(info >>> WARNING - nvJPEG_encoder is not supported on QNX - 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 :=
################################################################################
LIBRARIES += -lnvjpeg
ifeq ($(SAMPLE_ENABLED),0)
EXEC ?= @echo "[@]"
endif
################################################################################
# Target rules
all: build
build: nvJPEG_encoder
check.deps:
ifeq ($(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
nvJPEG_encoder.o:nvJPEG_encoder.cpp
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
nvJPEG_encoder: nvJPEG_encoder.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
$(EXEC) ./nvJPEG_encoder
clean:
rm -f nvJPEG_encoder nvJPEG_encoder.o
rm -rf ../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)/nvJPEG_encoder
clobber: clean

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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE entry SYSTEM "SamplesInfo.dtd">
<entry>
<name>nvJPEG_encoder</name>
<description><![CDATA[A CUDA Sample that demonstrates single encoding of jpeg images using NVJPEG Library.]]></description>
<devicecompilation>whole</devicecompilation>
<includepaths>
<path>./</path>
<path>../</path>
<path>../../common/inc</path>
</includepaths>
<keyconcepts>
<concept level="basic">Image Encoding</concept>
<concept level="basic">NVJPEG Library</concept>
</keyconcepts>
<keywords>
<keyword>NVJPEG</keyword>
<keyword>JPEG Encoding</keyword>
</keywords>
<libraries>
<library>nvjpeg</library>
</libraries>
<librarypaths>
</librarypaths>
<nsight_eclipse>true</nsight_eclipse>
<primary_file>nvJPEG_encoder.cpp</primary_file>
<required_dependencies>
<dependency>NVJPEG</dependency>
</required_dependencies>
<scopes>
<scope>1:CUDA Basic Topics</scope>
<scope>4:JPEG Encoding</scope>
</scopes>
<sm-arch>sm30</sm-arch>
<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>
<supported_envs>
<env>
<arch>x86_64</arch>
<platform>linux</platform>
</env>
<env>
<platform>windows</platform>
</env>
<env>
<arch>ppc64le</arch>
<platform>linux</platform>
</env>
<env>
<arch>aarch64</arch>
</env>
</supported_envs>
<supported_sm_architectures>
<from>3.0</from>
</supported_sm_architectures>
<title>NVJPEG Encoder</title>
<type>exe</type>
</entry>

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# nvJPEG_encoder - NVJPEG Encoder
## Description
A CUDA Sample that demonstrates single encoding of jpeg images using NVJPEG Library.
## Key Concepts
Image Encoding, NVJPEG Library
## Supported SM Architectures
[SM 3.0 ](https://developer.nvidia.com/cuda-gpus) [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)
## Supported OSes
Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, aarch64
## CUDA APIs involved
## Dependencies needed to build/run
[NVJPEG](../../README.md#nvjpeg)
## Prerequisites
Download and install the [CUDA Toolkit 10.1](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, aarch64.
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=aarch64` <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) 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.
*/
// This sample needs at least CUDA 10.1. It demonstrates usages of the nvJPEG
// library nvJPEG encoder supports single and multiple image encode.
#include <cuda_runtime_api.h>
#include "helper_nvJPEG.hxx"
int dev_malloc(void **p, size_t s) { return (int)cudaMalloc(p, s); }
int dev_free(void *p) { return (int)cudaFree(p); }
StopWatchInterface *timer = NULL;
bool is_interleaved(nvjpegOutputFormat_t format)
{
if (format == NVJPEG_OUTPUT_RGBI || format == NVJPEG_OUTPUT_BGRI)
return true;
else
return false;
}
struct encode_params_t {
std::string input_dir;
std::string output_dir;
std::string format;
std::string subsampling;
int quality;
int dev;
};
nvjpegEncoderParams_t encode_params;
nvjpegHandle_t nvjpeg_handle;
nvjpegJpegState_t jpeg_state;
nvjpegEncoderState_t encoder_state;
int decodeEncodeOneImage(std::string sImagePath, std::string sOutputPath, double &time, nvjpegOutputFormat_t output_format, nvjpegInputFormat_t input_format)
{
time = 0.;
// Get the file name, without extension.
// This will be used to rename the output file.
size_t position = sImagePath.rfind("/");
std::string sFileName = (std::string::npos == position)? sImagePath : sImagePath.substr(position + 1, sImagePath.size());
position = sFileName.rfind(".");
sFileName = (std::string::npos == position)? sFileName : sFileName.substr(0, position);
position = sFileName.rfind("/");
sFileName = (std::string::npos == position) ? sFileName : sFileName.substr(position + 1, sFileName.length());
position = sFileName.rfind("\\");
sFileName = (std::string::npos == position) ? sFileName : sFileName.substr(position+1, sFileName.length());
// Read an image from disk.
std::ifstream oInputStream(sImagePath.c_str(), std::ios::in | std::ios::binary | std::ios::ate);
if(!(oInputStream.is_open()))
{
std::cerr << "Cannot open image: " << sImagePath << std::endl;
return 1;
}
// Get the size.
std::streamsize nSize = oInputStream.tellg();
oInputStream.seekg(0, std::ios::beg);
// Image buffers.
unsigned char * pBuffer = NULL;
double decode_time = 0.;
std::vector<char> vBuffer(nSize);
if (oInputStream.read(vBuffer.data(), nSize))
{
unsigned char * dpImage = (unsigned char *)vBuffer.data();
// Retrieve the componenet and size info.
int nComponent = 0;
nvjpegChromaSubsampling_t subsampling;
int widths[NVJPEG_MAX_COMPONENT];
int heights[NVJPEG_MAX_COMPONENT];
if (NVJPEG_STATUS_SUCCESS != nvjpegGetImageInfo(nvjpeg_handle, dpImage, nSize, &nComponent, &subsampling, widths, heights))
{
std::cerr << "Error decoding JPEG header: " << sImagePath << std::endl;
return 1;
}
// image information
std::cout << "Image is " << nComponent << " channels." << std::endl;
for (int i = 0; i < nComponent; i++)
{
std::cout << "Channel #" << i << " size: " << widths[i] << " x " << heights[i] << std::endl;
}
switch (subsampling)
{
case NVJPEG_CSS_444:
std::cout << "YUV 4:4:4 chroma subsampling" << std::endl;
break;
case NVJPEG_CSS_440:
std::cout << "YUV 4:4:0 chroma subsampling" << std::endl;
break;
case NVJPEG_CSS_422:
std::cout << "YUV 4:2:2 chroma subsampling" << std::endl;
break;
case NVJPEG_CSS_420:
std::cout << "YUV 4:2:0 chroma subsampling" << std::endl;
break;
case NVJPEG_CSS_411:
std::cout << "YUV 4:1:1 chroma subsampling" << std::endl;
break;
case NVJPEG_CSS_410:
std::cout << "YUV 4:1:0 chroma subsampling" << std::endl;
break;
case NVJPEG_CSS_GRAY:
std::cout << "Grayscale JPEG " << std::endl;
break;
case NVJPEG_CSS_UNKNOWN:
std::cout << "Unknown chroma subsampling" << std::endl;
return 1;
}
{
cudaError_t eCopy = cudaMalloc(&pBuffer, widths[0] * heights[0] * NVJPEG_MAX_COMPONENT);
if(cudaSuccess != eCopy)
{
std::cerr << "cudaMalloc failed for component Y: " << cudaGetErrorString(eCopy) << std::endl;
return 1;
}
nvjpegImage_t imgdesc =
{
{
pBuffer,
pBuffer + widths[0]*heights[0],
pBuffer + widths[0]*heights[0]*2,
pBuffer + widths[0]*heights[0]*3
},
{
(unsigned int)(is_interleaved(output_format) ? widths[0] * 3 : widths[0]),
(unsigned int)widths[0],
(unsigned int)widths[0],
(unsigned int)widths[0]
}
};
int nReturnCode = 0;
cudaDeviceSynchronize();
// Create the CUTIL timer
sdkCreateTimer(&timer);
sdkStartTimer(&timer);
nReturnCode = nvjpegDecode(nvjpeg_handle, jpeg_state, dpImage, nSize, output_format, &imgdesc, NULL);
// alternatively decode by stages
/*int nReturnCode = nvjpegDecodeCPU(nvjpeg_handle, dpImage, nSize, output_format, &imgdesc, NULL);
nReturnCode = nvjpegDecodeMixed(nvjpeg_handle, NULL);
nReturnCode = nvjpegDecodeGPU(nvjpeg_handle, NULL);*/
cudaDeviceSynchronize();
sdkStopTimer(&timer);
decode_time =sdkGetTimerValue(&timer);
if(nReturnCode != 0)
{
std::cerr << "Error in nvjpegDecode." << std::endl;
return 1;
}
/////////////////////// encode ////////////////////
if (NVJPEG_OUTPUT_YUV == output_format)
{
checkCudaErrors(nvjpegEncodeYUV(nvjpeg_handle,
encoder_state,
encode_params,
&imgdesc,
subsampling,
widths[0],
heights[0],
NULL));
}
else
{
checkCudaErrors(nvjpegEncodeImage(nvjpeg_handle,
encoder_state,
encode_params,
&imgdesc,
input_format,
widths[0],
heights[0],
NULL));
}
std::vector<unsigned char> obuffer;
size_t length;
checkCudaErrors(nvjpegEncodeRetrieveBitstream(
nvjpeg_handle,
encoder_state,
NULL,
&length,
NULL));
obuffer.resize(length);
checkCudaErrors(nvjpegEncodeRetrieveBitstream(
nvjpeg_handle,
encoder_state,
obuffer.data(),
&length,
NULL));
std::string output_filename = sOutputPath + "/" + sFileName + ".jpg";
char directory[120];
char mkdir_cmd[256];
std::string folder = sOutputPath;
output_filename = folder + "/"+ sFileName +".jpg";
#if !defined(_WIN32)
sprintf(directory, "%s", folder.c_str());
sprintf(mkdir_cmd, "mkdir -p %s 2> /dev/null", directory);
#else
sprintf(directory, "%s", folder.c_str());
sprintf(mkdir_cmd, "mkdir %s 2> nul", directory);
#endif
int ret = system(mkdir_cmd);
std::cout << "Writing JPEG file: " << output_filename << std::endl;
std::ofstream outputFile(output_filename.c_str(), std::ios::out | std::ios::binary);
outputFile.write(reinterpret_cast<const char *>(obuffer.data()), static_cast<int>(length));
// Free memory
checkCudaErrors(cudaFree(pBuffer));
}
}
time = decode_time;
return 0;
}
int processArgs(encode_params_t param)
{
std::string sInputPath(param.input_dir);
std::string sOutputPath(param.output_dir);
std::string sFormat(param.format);
std::string sSubsampling(param.subsampling);
nvjpegOutputFormat_t oformat = NVJPEG_OUTPUT_RGB;
nvjpegInputFormat_t iformat = NVJPEG_INPUT_RGB;
int error_code = 1;
if (sFormat == "yuv")
{
oformat = NVJPEG_OUTPUT_YUV;
}
else if (sFormat == "rgb")
{
oformat = NVJPEG_OUTPUT_RGB;
iformat = NVJPEG_INPUT_RGB;
}
else if (sFormat == "bgr")
{
oformat = NVJPEG_OUTPUT_BGR;
iformat = NVJPEG_INPUT_BGR;
}
else if (sFormat == "rgbi")
{
oformat = NVJPEG_OUTPUT_RGBI;
iformat = NVJPEG_INPUT_RGBI;
}
else if (sFormat == "bgri")
{
oformat = NVJPEG_OUTPUT_BGRI;
iformat = NVJPEG_INPUT_BGRI;
}
else
{
std::cerr << "Unknown or unsupported output format: " << sFormat << std::endl;
return error_code;
}
if (sSubsampling == "444")
{
checkCudaErrors(nvjpegEncoderParamsSetSamplingFactors(encode_params, NVJPEG_CSS_444, NULL));
}
else if (sSubsampling == "422")
{
checkCudaErrors(nvjpegEncoderParamsSetSamplingFactors(encode_params, NVJPEG_CSS_422, NULL));
}
else if (sSubsampling == "420")
{
checkCudaErrors(nvjpegEncoderParamsSetSamplingFactors(encode_params, NVJPEG_CSS_420, NULL));
}
else if (sSubsampling == "440")
{
checkCudaErrors(nvjpegEncoderParamsSetSamplingFactors(encode_params, NVJPEG_CSS_440, NULL));
}
else if (sSubsampling == "411")
{
checkCudaErrors(nvjpegEncoderParamsSetSamplingFactors(encode_params, NVJPEG_CSS_411, NULL));
}
else if (sSubsampling == "410")
{
checkCudaErrors(nvjpegEncoderParamsSetSamplingFactors(encode_params, NVJPEG_CSS_410, NULL));
}
else if (sSubsampling == "400")
{
checkCudaErrors(nvjpegEncoderParamsSetSamplingFactors(encode_params, NVJPEG_CSS_GRAY, NULL));
}
else
{
std::cerr << "Unknown or unsupported subsampling: " << sSubsampling << std::endl;
return error_code;
}
/*if( stat(sOutputPath.c_str(), &s) == 0 )
{
if( !(s.st_mode & S_IFDIR) )
{
std::cout << "Output path already exist as non-directory: " << sOutputPath << std::endl;
return error_code;
}
}
else
{
if (mkdir(sOutputPath.c_str(), 0775))
{
std::cout << "Cannot create output directory: " << sOutputPath << std::endl;
return error_code;
}
}*/
std::vector<std::string> inputFiles;
if (readInput(sInputPath, inputFiles))
{
return error_code;
}
double total_time = 0., decode_time = 0.;
int total_images = 0;
for (unsigned int i = 0; i < inputFiles.size(); i++)
{
std::string &sFileName = inputFiles[i];
std::cout << "Processing file: " << sFileName << std::endl;
int image_error_code = decodeEncodeOneImage(sFileName, sOutputPath, decode_time, oformat, iformat);
if (image_error_code)
{
std::cerr << "Error processing file: " << sFileName << std::endl;
//return image_error_code;
}
else
{
total_images++;
total_time += decode_time;
}
}
std::cout << "Total images processed: " << total_images << std::endl;
std::cout << "Total time spent on decoding: " << total_time << std::endl;
std::cout << "Avg time/image: " << total_time/total_images << std::endl;
return 0;
}
// parse parameters
int findParamIndex(const char **argv, int argc, const char *parm) {
int count = 0;
int index = -1;
for (int i = 0; i < argc; i++) {
if (strncmp(argv[i], parm, 100) == 0) {
index = i;
count++;
}
}
if (count == 0 || count == 1) {
return index;
} else {
std::cout << "Error, parameter " << parm
<< " has been specified more than once, exiting\n"
<< std::endl;
return -1;
}
return -1;
}
int main(int argc, const char *argv[])
{
int pidx;
if ((pidx = findParamIndex(argv, argc, "-h")) != -1 ||
(pidx = findParamIndex(argv, argc, "--help")) != -1) {
std::cout << "Usage: " << argv[0]
<< " -i images_dir [-o output_dir] [-device=device_id]"
"[-q quality][-s 420/444] [-fmt output_format]\n";
std::cout << "Parameters: " << std::endl;
std::cout << "\timages_dir\t:\tPath to single image or directory of images" << std::endl;
std::cout << "\toutput_dir\t:\tWrite encoded images as jpeg to this directory" << std::endl;
std::cout << "\tdevice_id\t:\tWhich device to use for encoding" << std::endl;
std::cout << "\tQuality\t:\tUse image quality [default 70]" << std::endl;
std::cout << "\tsubsampling\t:\tUse Subsampling [420, 444]" << std::endl;
std::cout << "\toutput_format\t:\tnvJPEG output format for encoding. One "
"of [rgb, rgbi, bgr, bgri, yuv, y, unchanged]"
<< std::endl;
return EXIT_SUCCESS;
}
encode_params_t params;
params.input_dir = "./";
if ((pidx = findParamIndex(argv, argc, "-i")) != -1) {
params.input_dir = argv[pidx + 1];
} else {
// Search in default paths for input images.
int found = getInputDir(params.input_dir, argv[0]);
if (!found)
{
std::cout << "Please specify input directory with encoded images"<< std::endl;
return EXIT_WAIVED;
}
}
if ((pidx = findParamIndex(argv, argc, "-o")) != -1) {
params.output_dir = argv[pidx + 1];
} else {
// by-default write the folder named "output" in cwd
params.output_dir = "encode_output";
}
params.dev = 0;
params.dev = findCudaDevice(argc, argv);
params.quality = 70;
if ((pidx = findParamIndex(argv, argc, "-q")) != -1) {
params.quality = std::atoi(argv[pidx + 1]);
}
if ((pidx = findParamIndex(argv, argc, "-s")) != -1) {
params.subsampling = argv[pidx + 1];
} else {
// by-default use subsampling as 420
params.subsampling = "420";
}
if ((pidx = findParamIndex(argv, argc, "-fmt")) != -1) {
params.format = argv[pidx + 1];
} else {
// by-default use output format yuv
params.format = "yuv";
}
cudaDeviceProp props;
checkCudaErrors(cudaGetDeviceProperties(&props, params.dev));
printf("Using GPU %d (%s, %d SMs, %d th/SM max, CC %d.%d, ECC %s)\n",
params.dev, props.name, props.multiProcessorCount,
props.maxThreadsPerMultiProcessor, props.major, props.minor,
props.ECCEnabled ? "on" : "off");
nvjpegDevAllocator_t dev_allocator = {&dev_malloc, &dev_free};
checkCudaErrors(nvjpegCreate(NVJPEG_BACKEND_DEFAULT, &dev_allocator, &nvjpeg_handle));
checkCudaErrors(nvjpegJpegStateCreate(nvjpeg_handle, &jpeg_state));
checkCudaErrors(nvjpegEncoderStateCreate(nvjpeg_handle, &encoder_state, NULL));
checkCudaErrors(nvjpegEncoderParamsCreate(nvjpeg_handle, &encode_params, NULL));
// sample input parameters
checkCudaErrors(nvjpegEncoderParamsSetQuality(encode_params, params.quality, NULL));
checkCudaErrors(nvjpegEncoderParamsSetOptimizedHuffman(encode_params, 1, NULL));
pidx = processArgs(params);
checkCudaErrors(nvjpegEncoderParamsDestroy(encode_params));
checkCudaErrors(nvjpegEncoderStateDestroy(encoder_state));
checkCudaErrors(nvjpegJpegStateDestroy(jpeg_state));
checkCudaErrors(nvjpegDestroy(nvjpeg_handle));
return pidx;
}

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Microsoft Visual Studio Solution File, Format Version 12.00
# Visual Studio 2012
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "nvJPEG_encoder", "nvJPEG_encoder_vs2012.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
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Release|x64 = Release|x64
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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
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HideSolutionNode = FALSE
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<ProjectConfiguration Include="Release|x64">
<Configuration>Release</Configuration>
<Platform>x64</Platform>
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<PropertyGroup Label="Globals">
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<PropertyGroup Condition="'$(Configuration)'=='Debug'">
<UseDebugLibraries>true</UseDebugLibraries>
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<PropertyGroup Condition="'$(Configuration)'=='Release'">
<WholeProgramOptimization>true</WholeProgramOptimization>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
<ImportGroup Label="ExtensionSettings">
<Import Project="$(CUDAPropsPath)\CUDA 10.1.props" />
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<PropertyGroup Label="UserMacros" />
<PropertyGroup>
<IntDir>$(Platform)/$(Configuration)/</IntDir>
<IncludePath>$(IncludePath)</IncludePath>
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<PreprocessorDefinitions>WIN32;_MBCS;%(PreprocessorDefinitions)</PreprocessorDefinitions>
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<CudaCompile>
<CodeGeneration></CodeGeneration>
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<Include>./;../../Common</Include>
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</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(Configuration)'=='Debug'">
<ClCompile>
<Optimization>Disabled</Optimization>
<RuntimeLibrary>MultiThreadedDebug</RuntimeLibrary>
</ClCompile>
<Link>
<GenerateDebugInformation>true</GenerateDebugInformation>
<LinkTimeCodeGeneration>Default</LinkTimeCodeGeneration>
</Link>
<CudaCompile>
<Runtime>MTd</Runtime>
<TargetMachinePlatform>64</TargetMachinePlatform>
</CudaCompile>
</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(Configuration)'=='Release'">
<ClCompile>
<Optimization>MaxSpeed</Optimization>
<RuntimeLibrary>MultiThreaded</RuntimeLibrary>
</ClCompile>
<Link>
<GenerateDebugInformation>false</GenerateDebugInformation>
<LinkTimeCodeGeneration>UseLinkTimeCodeGeneration</LinkTimeCodeGeneration>
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<CudaCompile>
<Runtime>MT</Runtime>
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Microsoft Visual Studio Solution File, Format Version 13.00
# Visual Studio 2013
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "nvJPEG_encoder", "nvJPEG_encoder_vs2013.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
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Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Debug|x64 = Debug|x64
Release|x64 = Release|x64
EndGlobalSection
GlobalSection(ProjectConfigurationPlatforms) = postSolution
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.ActiveCfg = Debug|x64
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.Build.0 = Debug|x64
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.ActiveCfg = Release|x64
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.Build.0 = Release|x64
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GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
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<ProjectConfiguration Include="Debug|x64">
<Configuration>Debug</Configuration>
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<ProjectConfiguration Include="Release|x64">
<Configuration>Release</Configuration>
<Platform>x64</Platform>
</ProjectConfiguration>
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<PropertyGroup Label="Globals">
<ProjectGuid>{997E0757-EA74-4A4E-A0FC-47D8C8831A15}</ProjectGuid>
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<CudaToolkitCustomDir />
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
<PropertyGroup>
<ConfigurationType>Application</ConfigurationType>
<CharacterSet>MultiByte</CharacterSet>
<PlatformToolset>v120</PlatformToolset>
</PropertyGroup>
<PropertyGroup Condition="'$(Configuration)'=='Debug'">
<UseDebugLibraries>true</UseDebugLibraries>
</PropertyGroup>
<PropertyGroup Condition="'$(Configuration)'=='Release'">
<WholeProgramOptimization>true</WholeProgramOptimization>
</PropertyGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
<ImportGroup Label="ExtensionSettings">
<Import Project="$(CUDAPropsPath)\CUDA 10.1.props" />
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<PropertyGroup>
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<IncludePath>$(IncludePath)</IncludePath>
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<CudaCompile>
<CodeGeneration></CodeGeneration>
<AdditionalOptions>-Xcompiler "/wd 4819" %(AdditionalOptions)</AdditionalOptions>
<Include>./;../../Common</Include>
<Defines>WIN32</Defines>
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<ItemDefinitionGroup Condition="'$(Configuration)'=='Debug'">
<ClCompile>
<Optimization>Disabled</Optimization>
<RuntimeLibrary>MultiThreadedDebug</RuntimeLibrary>
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<Link>
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<LinkTimeCodeGeneration>Default</LinkTimeCodeGeneration>
</Link>
<CudaCompile>
<Runtime>MTd</Runtime>
<TargetMachinePlatform>64</TargetMachinePlatform>
</CudaCompile>
</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(Configuration)'=='Release'">
<ClCompile>
<Optimization>MaxSpeed</Optimization>
<RuntimeLibrary>MultiThreaded</RuntimeLibrary>
</ClCompile>
<Link>
<GenerateDebugInformation>false</GenerateDebugInformation>
<LinkTimeCodeGeneration>UseLinkTimeCodeGeneration</LinkTimeCodeGeneration>
</Link>
<CudaCompile>
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<ClCompile Include="nvJPEG_encoder.cpp" />
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
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Microsoft Visual Studio Solution File, Format Version 14.00
# Visual Studio 2015
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "nvJPEG_encoder", "nvJPEG_encoder_vs2015.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
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Global
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
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
EndGlobalSection
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@@ -0,0 +1,107 @@
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<ProjectConfiguration Include="Debug|x64">
<Configuration>Debug</Configuration>
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<ProjectConfiguration Include="Release|x64">
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<Platform>x64</Platform>
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<PropertyGroup Label="Globals">
<ProjectGuid>{997E0757-EA74-4A4E-A0FC-47D8C8831A15}</ProjectGuid>
<RootNamespace>nvJPEG_encoder_vs2015</RootNamespace>
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<CudaToolkitCustomDir />
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
<PropertyGroup>
<ConfigurationType>Application</ConfigurationType>
<CharacterSet>MultiByte</CharacterSet>
<PlatformToolset>v140</PlatformToolset>
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<PropertyGroup Condition="'$(Configuration)'=='Debug'">
<UseDebugLibraries>true</UseDebugLibraries>
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<PropertyGroup Condition="'$(Configuration)'=='Release'">
<WholeProgramOptimization>true</WholeProgramOptimization>
</PropertyGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
<ImportGroup Label="ExtensionSettings">
<Import Project="$(CUDAPropsPath)\CUDA 10.1.props" />
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<Import Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" />
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<IncludePath>$(IncludePath)</IncludePath>
<CodeAnalysisRuleSet>AllRules.ruleset</CodeAnalysisRuleSet>
<CodeAnalysisRules />
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<PreprocessorDefinitions>WIN32;_MBCS;%(PreprocessorDefinitions)</PreprocessorDefinitions>
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</ClCompile>
<Link>
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<AdditionalDependencies>nvjpeg.lib;cudart_static.lib;kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
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<OutputFile>$(OutDir)/nvJPEG_encoder.exe</OutputFile>
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<CudaCompile>
<CodeGeneration></CodeGeneration>
<AdditionalOptions>-Xcompiler "/wd 4819" %(AdditionalOptions)</AdditionalOptions>
<Include>./;../../Common</Include>
<Defines>WIN32</Defines>
</CudaCompile>
</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(Configuration)'=='Debug'">
<ClCompile>
<Optimization>Disabled</Optimization>
<RuntimeLibrary>MultiThreadedDebug</RuntimeLibrary>
</ClCompile>
<Link>
<GenerateDebugInformation>true</GenerateDebugInformation>
<LinkTimeCodeGeneration>Default</LinkTimeCodeGeneration>
</Link>
<CudaCompile>
<Runtime>MTd</Runtime>
<TargetMachinePlatform>64</TargetMachinePlatform>
</CudaCompile>
</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(Configuration)'=='Release'">
<ClCompile>
<Optimization>MaxSpeed</Optimization>
<RuntimeLibrary>MultiThreaded</RuntimeLibrary>
</ClCompile>
<Link>
<GenerateDebugInformation>false</GenerateDebugInformation>
<LinkTimeCodeGeneration>UseLinkTimeCodeGeneration</LinkTimeCodeGeneration>
</Link>
<CudaCompile>
<Runtime>MT</Runtime>
<TargetMachinePlatform>64</TargetMachinePlatform>
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<ItemGroup>
<ClCompile Include="nvJPEG_encoder.cpp" />
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
<ImportGroup Label="ExtensionTargets">
<Import Project="$(CUDAPropsPath)\CUDA 10.1.targets" />
</ImportGroup>
</Project>

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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}") = "nvJPEG_encoder", "nvJPEG_encoder_vs2017.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
EndProject
Global
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
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Microsoft Visual Studio Solution File, Format Version 12.00
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