opencv/modules/gpu/src/initialization.cpp

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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
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//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
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// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
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// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
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// 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,
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//M*/
#include "precomp.hpp"
using namespace cv;
using namespace cv::gpu;
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namespace
{
template <typename Comparer>
bool compareToSet(const std::string& set_as_str, int value, Comparer cmp)
{
if (set_as_str.find_first_not_of(" ") == string::npos)
return false;
std::stringstream stream(set_as_str);
int cur_value;
while (!stream.eof())
{
stream >> cur_value;
if (cmp(cur_value, value))
return true;
}
return false;
}
}
CV_EXPORTS bool cv::gpu::TargetArchs::builtWith(cv::gpu::GpuFeature feature)
{
if (feature == NATIVE_DOUBLE)
return ::compareToSet(CUDA_ARCH_FEATURES, 13, std::greater_equal<int>());
if (feature == ATOMICS)
return ::compareToSet(CUDA_ARCH_FEATURES, 11, std::greater_equal<int>());
return true;
}
CV_EXPORTS bool cv::gpu::TargetArchs::has(int major, int minor)
{
return hasPtx(major, minor) || hasBin(major, minor);
}
CV_EXPORTS bool cv::gpu::TargetArchs::hasPtx(int major, int minor)
{
return ::compareToSet(CUDA_ARCH_PTX, major * 10 + minor, std::equal_to<int>());
}
CV_EXPORTS bool cv::gpu::TargetArchs::hasBin(int major, int minor)
{
return ::compareToSet(CUDA_ARCH_BIN, major * 10 + minor, std::equal_to<int>());
}
CV_EXPORTS bool cv::gpu::TargetArchs::hasEqualOrLessPtx(int major, int minor)
{
return ::compareToSet(CUDA_ARCH_PTX, major * 10 + minor,
std::less_equal<int>());
}
CV_EXPORTS bool cv::gpu::TargetArchs::hasEqualOrGreater(int major, int minor)
{
return hasEqualOrGreaterPtx(major, minor) ||
hasEqualOrGreaterBin(major, minor);
}
CV_EXPORTS bool cv::gpu::TargetArchs::hasEqualOrGreaterPtx(int major, int minor)
{
return ::compareToSet(CUDA_ARCH_PTX, major * 10 + minor,
std::greater_equal<int>());
}
CV_EXPORTS bool cv::gpu::TargetArchs::hasEqualOrGreaterBin(int major, int minor)
{
return ::compareToSet(CUDA_ARCH_BIN, major * 10 + minor,
std::greater_equal<int>());
}
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#if !defined (HAVE_CUDA)
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CV_EXPORTS int cv::gpu::getCudaEnabledDeviceCount() { return 0; }
CV_EXPORTS void cv::gpu::setDevice(int) { throw_nogpu(); }
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CV_EXPORTS int cv::gpu::getDevice() { throw_nogpu(); return 0; }
size_t cv::gpu::DeviceInfo::freeMemory() const { throw_nogpu(); return 0; }
size_t cv::gpu::DeviceInfo::totalMemory() const { throw_nogpu(); return 0; }
bool cv::gpu::DeviceInfo::has(cv::gpu::GpuFeature) const { throw_nogpu(); return false; }
bool cv::gpu::DeviceInfo::isCompatible() const { throw_nogpu(); return false; }
void cv::gpu::DeviceInfo::query() { throw_nogpu(); }
void cv::gpu::DeviceInfo::queryMemory(size_t&, size_t&) const { throw_nogpu(); }
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#else /* !defined (HAVE_CUDA) */
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CV_EXPORTS int cv::gpu::getCudaEnabledDeviceCount()
{
int count;
cudaSafeCall( cudaGetDeviceCount( &count ) );
return count;
}
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CV_EXPORTS void cv::gpu::setDevice(int device)
{
cudaSafeCall( cudaSetDevice( device ) );
}
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CV_EXPORTS int cv::gpu::getDevice()
{
int device;
cudaSafeCall( cudaGetDevice( &device ) );
return device;
}
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size_t cv::gpu::DeviceInfo::freeMemory() const
{
size_t free_memory, total_memory;
queryMemory(free_memory, total_memory);
return free_memory;
}
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size_t cv::gpu::DeviceInfo::totalMemory() const
{
size_t free_memory, total_memory;
queryMemory(free_memory, total_memory);
return total_memory;
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}
bool cv::gpu::DeviceInfo::has(cv::gpu::GpuFeature feature) const
{
if (feature == NATIVE_DOUBLE)
return major() > 1 || (major() == 1 && minor() >= 3);
if (feature == ATOMICS)
return major() > 1 || (major() == 1 && minor() >= 1);
return false;
}
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bool cv::gpu::DeviceInfo::isCompatible() const
{
// Check PTX compatibility
if (TargetArchs::hasEqualOrLessPtx(major(), minor()))
return true;
// Check BIN compatibility
for (int i = minor(); i >= 0; --i)
if (TargetArchs::hasBin(major(), i))
return true;
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return false;
}
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void cv::gpu::DeviceInfo::query()
{
cudaDeviceProp prop;
cudaSafeCall(cudaGetDeviceProperties(&prop, device_id_));
name_ = prop.name;
multi_processor_count_ = prop.multiProcessorCount;
major_ = prop.major;
minor_ = prop.minor;
}
void cv::gpu::DeviceInfo::queryMemory(size_t& free_memory, size_t& total_memory) const
{
int prev_device_id = getDevice();
if (prev_device_id != device_id_)
setDevice(device_id_);
cudaSafeCall(cudaMemGetInfo(&free_memory, &total_memory));
if (prev_device_id != device_id_)
setDevice(prev_device_id);
}
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#endif