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#ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/TensorOperator.c"
#else
/* Tensor math may be disabled for certain types, e.g. 'half' */
#ifndef TH_GENERIC_NO_MATH
static int torch_TensorOperator_(__add__)(lua_State *L)
{
THTensor *tensor1 = luaT_toudata(L, 1, torch_Tensor);
THTensor *tensor2 = luaT_toudata(L, 2, torch_Tensor);
THTensor *r;
if(!tensor1 && !tensor2)
luaL_error(L, "expecting two " torch_Tensor "s or one " torch_Tensor " and one number");
else
{
r = THTensor_(new)();
luaT_pushudata(L, r, torch_Tensor);
if(!tensor1 && tensor2)
{
THTensor_(resizeAs)(r, tensor2);
THTensor_(copy)(r, tensor2);
THTensor_(add)(r, r, luaL_checknumber(L, 1));
}
else if(tensor1 && !tensor2)
{
THTensor_(resizeAs)(r, tensor1);
THTensor_(copy)(r, tensor1);
THTensor_(add)(r, r, luaL_checknumber(L, 2));
}
else
{
THTensor_(resizeAs)(r, tensor1);
THTensor_(copy)(r, tensor1);
THTensor_(cadd)(r, r, 1, tensor2);
}
}
return 1;
}
static int torch_TensorOperator_(__sub__)(lua_State *L)
{
THTensor *tensor1 = luaT_toudata(L, 1, torch_Tensor);
THTensor *tensor2 = luaT_toudata(L, 2, torch_Tensor);
THTensor *r;
if(!tensor1 && !tensor2)
luaL_error(L, "expecting two " torch_Tensor "s or one " torch_Tensor " and one number");
else
{
r = THTensor_(new)();
luaT_pushudata(L, r, torch_Tensor);
if(!tensor1 && tensor2)
{
THTensor_(resizeAs)(r, tensor2);
THTensor_(fill)(r, luaL_checknumber(L, 1));
THTensor_(cadd)(r, r, -1, tensor2);
}
else if(tensor1 && !tensor2)
{
THTensor_(resizeAs)(r, tensor1);
THTensor_(copy)(r, tensor1);
THTensor_(add)(r, r, -(real)luaL_checknumber(L, 2));
}
else
{
THTensor_(resizeAs)(r, tensor1);
THTensor_(copy)(r, tensor1);
THTensor_(cadd)(r, r, -1, tensor2);
}
}
return 1;
}
static int torch_TensorOperator_(__unm__)(lua_State *L)
{
THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
THTensor *r;
r = THTensor_(new)();
luaT_pushudata(L, r, torch_Tensor);
THTensor_(resizeAs)(r, tensor);
THTensor_(copy)(r, tensor);
THTensor_(mul)(r, r, -1);
return 1;
}
static int torch_TensorOperator_(__mul__)(lua_State *L)
{
THTensor *tensor1 = luaT_toudata(L, 1, torch_Tensor);
THTensor *tensor2 = luaT_toudata(L, 2, torch_Tensor);
THTensor *r;
if(!tensor1 && !tensor2)
luaL_error(L, "expecting two " torch_Tensor "s or one " torch_Tensor " and one number");
else
{
r = THTensor_(new)();
luaT_pushudata(L, r, torch_Tensor);
if(!tensor1 && tensor2)
{
THTensor_(resizeAs)(r, tensor2);
THTensor_(copy)(r, tensor2);
THTensor_(mul)(r, r, luaL_checknumber(L, 1));
}
else if(tensor1 && !tensor2)
{
THTensor_(resizeAs)(r, tensor1);
THTensor_(copy)(r, tensor1);
THTensor_(mul)(r, r, luaL_checknumber(L, 2));
}
else
{
int dimt = tensor1->nDimension;
int dims = tensor2->nDimension;
if(dimt == 1 && dims == 1)
lua_pushnumber(L, THTensor_(dot)(tensor1, tensor2)); /* ok, we wasted r, but who cares */
else if(dimt == 2 && dims == 1)
{
THTensor_(resize1d)(r, tensor1->size[0]);
THTensor_(zero)(r);
THTensor_(addmv)(r, 1, r, 1, tensor1, tensor2);
}
else if(dimt == 2 && dims == 2)
{
THTensor_(resize2d)(r, tensor1->size[0], tensor2->size[1]);
THTensor_(zero)(r);
THTensor_(addmm)(r, 1, r, 1, tensor1, tensor2);
}
else
luaL_error(L, "multiplication between %dD and %dD tensors not yet supported", tensor1->nDimension, tensor2->nDimension);
}
}
return 1;
}
static int torch_TensorOperator_(__div__)(lua_State *L)
{
THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
THTensor *r;
THArgCheck(lua_isnumber(L,2), 2, "number expected");
r = THTensor_(new)();
luaT_pushudata(L, r, torch_Tensor);
THTensor_(resizeAs)(r, tensor);
THTensor_(copy)(r, tensor);
THTensor_(div)(r, r, lua_tonumber(L, 2));
return 1;
}
static int torch_TensorOperator_(__mod__)(lua_State *L)
{
THTensor *tensor = luaT_checkudata(L, 1, torch_Tensor);
THTensor *r;
THArgCheck(lua_isnumber(L,2), 2, "number expected");
r = THTensor_(new)();
luaT_pushudata(L, r, torch_Tensor);
THTensor_(resizeAs)(r, tensor);
THTensor_(copy)(r, tensor);
THTensor_(remainder)(r, r, lua_tonumber(L, 2));
return 1;
}
static const struct luaL_Reg torch_TensorOperator_(_) [] = {
{"__add__", torch_TensorOperator_(__add__)},
{"__sub__", torch_TensorOperator_(__sub__)},
{"__unm__", torch_TensorOperator_(__unm__)},
{"__mul__", torch_TensorOperator_(__mul__)},
{"__div__", torch_TensorOperator_(__div__)},
{"__mod__", torch_TensorOperator_(__mod__)},
{NULL, NULL}
};
void torch_TensorOperator_(init)(lua_State *L)
{
luaT_pushmetatable(L, torch_Tensor);
luaT_setfuncs(L, torch_TensorOperator_(_), 0);
lua_pop(L, 1);
}
#endif
#endif
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