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FFI.lua
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FFI.lua
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local ok, ffi = pcall(require, 'ffi')
if ok then
local unpack = unpack or table.unpack
local cdefs = [[
typedef struct CUstream_st *cudaStream_t;
struct cublasContext;
typedef struct cublasContext *cublasHandle_t;
typedef struct CUhandle_st *cublasHandle_t;
typedef struct _THCCudaResourcesPerDevice {
cudaStream_t* streams;
cublasHandle_t* blasHandles;
size_t scratchSpacePerStream;
void** devScratchSpacePerStream;
} THCCudaResourcesPerDevice;
typedef struct THCState
{
struct THCRNGState* rngState;
struct cudaDeviceProp* deviceProperties;
cudaStream_t currentStream;
cublasHandle_t currentBlasHandle;
THCCudaResourcesPerDevice* resourcesPerDevice;
int numDevices;
int numUserStreams;
int numUserBlasHandles;
int currentPerDeviceStream;
int currentPerDeviceBlasHandle;
struct THAllocator* cudaHostAllocator;
} THCState;
cudaStream_t THCState_getCurrentStream(THCState *state);
]]
local CudaTypes = {
{'float', ''},
{'unsigned char', 'Byte'},
{'char', 'Char'},
{'short', 'Short'},
{'int', 'Int'},
{'long','Long'},
{'double','Double'},
}
if cutorch.hasHalf then
table.insert(CudaTypes, {'half','Half'})
end
for _, typedata in ipairs(CudaTypes) do
local real, Real = unpack(typedata)
local ctype_def = [[
typedef struct THCStorage
{
real *data;
long size;
int refcount;
char flag;
THAllocator *allocator;
void *allocatorContext;
struct THCStorage *view;
} THCStorage;
typedef struct THCTensor
{
long *size;
long *stride;
int nDimension;
THCStorage *storage;
long storageOffset;
int refcount;
char flag;
} THCTensor;
]]
ctype_def = ctype_def:gsub('real',real):gsub('THCStorage','THCuda'..Real..'Storage'):gsub('THCTensor','THCuda'..Real..'Tensor')
cdefs = cdefs .. ctype_def
end
if cutorch.hasHalf then
ffi.cdef([[
typedef struct {
unsigned short x;
} __half;
typedef __half half;
]])
end
ffi.cdef(cdefs)
for _, typedata in ipairs(CudaTypes) do
local real, Real = unpack(typedata)
local Storage = torch.getmetatable('torch.Cuda' .. Real .. 'Storage')
local Storage_tt = ffi.typeof('THCuda' .. Real .. 'Storage**')
rawset(Storage, "cdata", function(self) return Storage_tt(self)[0] end)
rawset(Storage, "data", function(self) return Storage_tt(self)[0].data end)
-- Tensor
local Tensor = torch.getmetatable('torch.Cuda' .. Real .. 'Tensor')
local Tensor_tt = ffi.typeof('THCuda' .. Real .. 'Tensor**')
rawset(Tensor, "cdata", function(self) return Tensor_tt(self)[0] end)
rawset(Tensor, "data",
function(self)
self = Tensor_tt(self)[0]
return self.storage ~= nil and self.storage.data + self.storageOffset or nil
end
)
end
end