/
ffi.lua
173 lines (149 loc) · 3.58 KB
/
ffi.lua
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local ffi = require 'ffi'
local vlfeat = require 'vlfeat.env'
-- host specific typedef-s
if ffi.abi('64bit') then
ffi.cdef[[
typedef long long unsigned vl_uint64;
typedef int unsigned vl_uint32;
typedef vl_uint64 vl_size;
]]
else
ffi.cdef[[
typedef int unsigned vl_uint32;
typedef vl_uint32 vl_size;
]]
end
ffi.cdef[[
typedef vl_uint32 vl_type;
enum {
VL_TYPE_FLOAT = 1,
VL_TYPE_DOUBLE
};
typedef float (*VlFloatVectorComparisonFunction)(
vl_size dimension, float const * X, float const * Y
);
typedef double (*VlDoubleVectorComparisonFunction)(
vl_size dimension, double const * X, double const * Y
);
typedef enum _VlKMeansAlgorithm {
VlKMeansLloyd,
VlKMeansElkan,
VlKMeansANN
} VlKMeansAlgorithm;
typedef enum _VlKMeansInitialization {
VlKMeansRandomSelection,
VlKMeansPlusPlus
} VlKMeansInitialization;
enum _VlVectorComparisonType {
VlDistanceL1,
VlDistanceL2,
VlDistanceChi2,
VlDistanceHellinger,
VlDistanceJS,
VlDistanceMahalanobis,
VlKernelL1,
VlKernelL2,
VlKernelChi2,
VlKernelHellinger,
VlKernelJS
};
typedef enum _VlVectorComparisonType VlVectorComparisonType;
typedef struct _VlKMeans
{
vl_type dataType;
vl_size dimension;
vl_size numCenters;
vl_size numTrees;
vl_size maxNumComparisons;
VlKMeansInitialization initialization;
VlKMeansAlgorithm algorithm;
VlVectorComparisonType distance;
vl_size maxNumIterations;
double minEnergyVariation;
vl_size numRepetitions;
int verbosity;
void * centers;
void * centerDistances;
double energy;
VlFloatVectorComparisonFunction floatVectorComparisonFn;
VlDoubleVectorComparisonFunction doubleVectorComparisonFn;
} VlKMeans;
VlKMeans * vl_kmeans_new(
vl_type dataType,
VlVectorComparisonType distance
);
void vl_kmeans_delete(
VlKMeans * self
);
double vl_kmeans_cluster(
VlKMeans * self,
void const * data,
vl_size dimension,
vl_size numData,
vl_size numCenters
);
void vl_kmeans_set_centers(
VlKMeans * self,
void const * centers,
vl_size dimension,
vl_size numCenters
);
void vl_kmeans_init_centers_with_rand_data(
VlKMeans * self,
void const * data,
vl_size dimensions,
vl_size numData,
vl_size numCenters
);
void vl_kmeans_init_centers_plus_plus(
VlKMeans * self,
void const * data,
vl_size dimensions,
vl_size numData,
vl_size numCenters
);
double vl_kmeans_refine_centers(
VlKMeans * self,
void const * data,
vl_size numData
);
void vl_kmeans_quantize(
VlKMeans * self,
vl_uint32 * assignments,
void * distances,
void const * data,
vl_size numData
);
]]
-- RTLD_GLOBAL mode (cf. man 3 dlopen)
local global = true
local ok, C = pcall(ffi.load, 'vl', global)
if not ok then
error('cannot load VLFeat library: ' .. C)
end
vlfeat.C = C
if not jit then
-- see https://github.com/facebook/luaffifb#pointer-comparison
vlfeat.NULL = ffi.C.NULL
end
vlfeat.TH_VL_TYPE = {
['torch.FloatTensor'] = C.VL_TYPE_FLOAT,
['torch.DoubleTensor'] = C.VL_TYPE_DOUBLE
}
vlfeat.VL_TH_TYPE = {
[C.VL_TYPE_FLOAT] = 'torch.FloatTensor',
[C.VL_TYPE_DOUBLE] = 'torch.DoubleTensor'
}
vlfeat.VECT_COMPARISON_TYPE = {
L1 = C.VlDistanceL1,
L2 = C.VlDistanceL2,
CHI2 = C.VlDistanceChi2,
HELLINGER = C.VlDistanceHellinger,
JS = C.VlDistanceJS,
MAHALANOBIS = C.VlDistanceMahalanobis,
KERNELL1 = C.VlKernelL1,
KERNELL1 = C.VlKernelL2,
KERNELCHI2 = C.VlKernelChi2,
KERNELHELLINGER = C.VlKernelHellinger,
KERNELJS = C.VlKernelJS
}