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KernelManager.cpp
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KernelManager.cpp
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/*
* Copyright (c) The Shogun Machine Learning Toolbox
* Written (w) 2014 - 2016 Soumyajit De
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
* 2. 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.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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.
*
* The views and conclusions contained in the software and documentation are those
* of the authors and should not be interpreted as representing official policies,
* either expressed or implied, of the Shogun Development Team.
*/
#include <vector>
#include <memory>
#include <shogun/io/SGIO.h>
#include <shogun/distance/Distance.h>
#include <shogun/kernel/Kernel.h>
#include <shogun/kernel/CustomKernel.h>
#include <shogun/kernel/ShiftInvariantKernel.h>
#include <shogun/statistical_testing/internals/KernelManager.h>
using namespace shogun;
using namespace internal;
KernelManager::KernelManager()
{
SG_SDEBUG("Kernel manager instance initialized!\n");
}
KernelManager::KernelManager(index_t num_kernels)
{
SG_SDEBUG("Kernel manager instance initialized with %d kernels!\n", num_kernels);
m_kernels.resize(num_kernels);
m_precomputed_kernels.resize(num_kernels);
std::fill(m_kernels.begin(), m_kernels.end(), nullptr);
std::fill(m_precomputed_kernels.begin(), m_precomputed_kernels.end(), nullptr);
}
KernelManager::~KernelManager()
{
clear();
}
void KernelManager::clear()
{
m_kernels.resize(0);
m_precomputed_kernels.resize(0);
}
InitPerKernel KernelManager::kernel_at(size_t i)
{
SG_SDEBUG("Entering!\n");
REQUIRE(i<num_kernels(),
"Value of i (%d) should be between 0 and %d, inclusive!",
i, num_kernels()-1);
SG_SDEBUG("Leaving!\n");
return InitPerKernel(m_kernels[i]);
}
CKernel* KernelManager::kernel_at(size_t i) const
{
SG_SDEBUG("Entering!\n");
REQUIRE(i<num_kernels(),
"Value of i (%d) should be between 0 and %d, inclusive!",
i, num_kernels()-1);
if (m_precomputed_kernels[i]==nullptr)
{
SG_SDEBUG("Leaving!\n");
return m_kernels[i].get();
}
SG_SDEBUG("Precomputed kernel exists!\n");
SG_SDEBUG("Leaving!\n");
return m_precomputed_kernels[i].get();
}
void KernelManager::push_back(CKernel* kernel)
{
SG_SDEBUG("Entering!\n");
SG_REF(kernel);
m_kernels.push_back(std::shared_ptr<CKernel>(kernel, [](CKernel* ptr) { SG_UNREF(ptr); }));
m_precomputed_kernels.push_back(nullptr);
SG_SDEBUG("Leaving!\n");
}
const size_t KernelManager::num_kernels() const
{
return m_kernels.size();
}
void KernelManager::precompute_kernel_at(size_t i)
{
SG_SDEBUG("Entering!\n");
REQUIRE(i<num_kernels(),
"Value of i (%d) should be between 0 and %d, inclusive!",
i, num_kernels()-1);
auto kernel=m_kernels[i].get();
if (kernel->get_kernel_type()!=K_CUSTOM)
{
// TODO give option to use different policies to precompute the kernel matrix
// this one here is default setting : use shogun's pthread parallelism to compute
// the kernel matrix.
SGMatrix<float32_t> kernel_matrix=kernel->get_kernel_matrix<float32_t>();
m_precomputed_kernels[i]=std::shared_ptr<CCustomKernel>(new CCustomKernel(kernel_matrix));
}
SG_SDEBUG("Leaving!\n");
}
void KernelManager::restore_kernel_at(size_t i)
{
SG_SDEBUG("Entering!\n");
REQUIRE(i<num_kernels(),
"Value of i (%d) should be between 0 and %d, inclusive!",
i, num_kernels()-1);
m_precomputed_kernels[i]=nullptr;
SG_SDEBUG("Leaving!\n");
}
bool KernelManager::same_distance_type() const
{
bool same=false;
EDistanceType distance_type=D_UNKNOWN;
for (size_t i=0; i<num_kernels(); ++i)
{
CShiftInvariantKernel* shift_invariant_kernel=dynamic_cast<CShiftInvariantKernel*>(kernel_at(i));
if (shift_invariant_kernel!=nullptr)
{
if (distance_type==D_UNKNOWN)
distance_type=shift_invariant_kernel->get_distance_type();
else if (distance_type==shift_invariant_kernel->get_distance_type())
same=true;
else
{
same=false;
break;
}
}
else
{
same=false;
SG_SINFO("Kernel at location %d is not of CShiftInvariantKernel type (was of %s type)!\n",
i, kernel_at(i)->get_name());
break;
}
}
return same;
}