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TensorMath.lua
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local wrap = require 'cwrap'
require 'torchcwrap'
local interface = wrap.CInterface.new()
local method = wrap.CInterface.new()
local argtypes = wrap.CInterface.argtypes
argtypes['ptrdiff_t'] = {
helpname = function(arg)
return 'ptrdiff_t'
end,
declare = function(arg)
-- if it is a number we initialize here
local default = tonumber(tostring(arg.default)) or 0
return string.format("%s arg%d = %g;", 'ptrdiff_t', arg.i, default)
end,
check = function(arg, idx)
return string.format("lua_isnumber(L, %d)", idx)
end,
read = function(arg, idx)
return string.format("arg%d = (%s)lua_tonumber(L, %d);", arg.i, 'ptrdiff_t', idx)
end,
init = function(arg)
-- otherwise do it here
if arg.default then
local default = tostring(arg.default)
if not tonumber(default) then
return string.format("arg%d = %s;", arg.i, default)
end
end
end,
carg = function(arg)
return string.format('arg%d', arg.i)
end,
creturn = function(arg)
return string.format('arg%d', arg.i)
end,
precall = function(arg)
if arg.returned then
return string.format('lua_pushnumber(L, (lua_Number)arg%d);', arg.i)
end
end,
postcall = function(arg)
if arg.creturned then
return string.format('lua_pushnumber(L, (lua_Number)arg%d);', arg.i)
end
end
}
interface:print([[
#include "TH.h"
#include "THMath.h"
#include "luaT.h"
#include "utils.h"
]])
-- specific to torch: we generate a 'dispatch' function
-- first we create a helper function
-- note that it let the "torch" table on the stack
interface:print([[
static const void* torch_istensortype(lua_State *L, const char *tname)
{
if(!tname)
return NULL;
if(!luaT_pushmetatable(L, tname))
return NULL;
lua_pushstring(L, "torch");
lua_rawget(L, -2);
if(lua_istable(L, -1))
return tname;
else
{
lua_pop(L, 2);
return NULL;
}
return NULL;
}
]])
interface:print([[
static int torch_isnonemptytable(lua_State *L, int idx)
{
int empty;
if (!lua_istable(L, idx)) return 0;
lua_rawgeti(L, idx, 1);
empty = lua_isnil(L, -1);
lua_pop(L, 1);
return !empty;
}
]])
interface:print([[
static const void* torch_istensorarray(lua_State *L, int idx)
{
const char* tname;
int tensor_idx;
if (!torch_isnonemptytable(L, idx)) return 0;
lua_checkstack(L, 3);
lua_rawgeti(L, idx, 1);
tensor_idx = lua_gettop(L);
tname = (torch_istensortype(L, luaT_typename(L, -1)));
lua_remove(L, tensor_idx);
return tname;
}
]])
interface.dispatchregistry = {}
function interface:wrap(name, ...)
-- usual stuff
wrap.CInterface.wrap(self, name, ...)
-- dispatch function
if not interface.dispatchregistry[name] then
interface.dispatchregistry[name] = true
table.insert(interface.dispatchregistry, {name=name, wrapname=string.format("torch_%s", name)})
interface:print(string.gsub([[
static int torch_NAME(lua_State *L)
{
int narg = lua_gettop(L);
const void *tname;
if(narg >= 1 && (tname = torch_istensortype(L, luaT_typename(L, 1)))) /* first argument is tensor? */
{
}
else if(narg >= 2 && (tname = torch_istensortype(L, luaT_typename(L, 2)))) /* second? */
{
}
else if(narg >= 1 && (tname = torch_istensorarray(L, 1))) /* torch table argument? */
{
}
else if(narg >= 1 && lua_type(L, narg) == LUA_TSTRING
&& (tname = torch_istensortype(L, lua_tostring(L, narg)))) /* do we have a valid tensor type string then? */
{
lua_remove(L, -2);
}
else if(!(tname = torch_istensortype(L, torch_getdefaulttensortype(L))))
luaL_error(L, "internal error: the default tensor type does not seem to be an actual tensor");
lua_pushstring(L, "NAME");
lua_rawget(L, -2);
if(lua_isfunction(L, -1))
{
lua_insert(L, 1);
lua_pop(L, 2); /* the two tables we put on the stack above */
lua_call(L, lua_gettop(L)-1, LUA_MULTRET);
}
else
return luaL_error(L, "%s does not implement the torch.NAME() function", tname);
return lua_gettop(L);
}
]], 'NAME', name))
end
end
function interface:dispatchregister(name)
local txt = self.txt
table.insert(txt, string.format('static const struct luaL_Reg %s [] = {', name))
for _,reg in ipairs(self.dispatchregistry) do
table.insert(txt, string.format('{"%s", %s},', reg.name, reg.wrapname))
end
table.insert(txt, '{NULL, NULL}')
table.insert(txt, '};')
table.insert(txt, '')
self.dispatchregistry = {}
end
interface:print('/* WARNING: autogenerated file */')
interface:print('')
local function wrap(...)
local args = {...}
-- interface
interface:wrap(...)
-- method: we override things possibly in method table field
for _,x in ipairs(args) do
if type(x) == 'table' then -- ok, now we have a list of args
for _, arg in ipairs(x) do
if arg.method then
for k,v in pairs(arg.method) do
if v == 'nil' then -- special case, we erase the field
arg[k] = nil
else
arg[k] = v
end
end
end
end
end
end
local unpack = unpack or table.unpack
method:wrap(unpack(args))
end
local reals = {ByteTensor='unsigned char',
CharTensor='char',
ShortTensor='short',
IntTensor='int',
LongTensor='long',
FloatTensor='float',
DoubleTensor='double'}
local accreals = {ByteTensor='long',
CharTensor='long',
ShortTensor='long',
IntTensor='long',
LongTensor='long',
FloatTensor='double',
DoubleTensor='double'}
for _,Tensor in ipairs({"ByteTensor", "CharTensor",
"ShortTensor", "IntTensor", "LongTensor",
"FloatTensor", "DoubleTensor"}) do
local real = reals[Tensor]
local accreal = accreals[Tensor]
function interface.luaname2wrapname(self, name)
return string.format('torch_%s_%s', Tensor, name)
end
function method.luaname2wrapname(self, name)
return string.format('m_torch_%s_%s', Tensor, name)
end
local function cname(name)
return string.format('TH%s_%s', Tensor, name)
end
local function lastdim(argn)
return function(arg)
return string.format("TH%s_nDimension(%s)", Tensor, arg.args[argn]:carg())
end
end
local function lastdimarray(argn)
return function(arg)
return string.format("TH%s_nDimension(arg%d_data[0])", Tensor, arg.args[argn].i)
end
end
wrap("zero",
cname("zero"),
{{name=Tensor, returned=true}})
wrap("fill",
cname("fill"),
{{name=Tensor, returned=true},
{name=real}})
wrap("zeros",
cname("zeros"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name="LongArg"}})
wrap("ones",
cname("ones"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name="LongArg"}})
wrap("reshape",
cname("reshape"),
{{name=Tensor, default=true, returned=true},
{name=Tensor},
{name="LongArg"}})
wrap("gather",
cname("gather"),
{{name=Tensor, default=true, returned=true,
init=function(arg)
return table.concat(
{
arg.__metatable.init(arg),
string.format("THLongStorage* %s_size = THLongTensor_newSizeOf(%s);", arg:carg(), arg.args[4]:carg()),
string.format("TH%s_resize(%s, %s_size, NULL);", Tensor, arg:carg(), arg:carg()),
string.format("THLongStorage_free(%s_size);", arg:carg())
}, '\n')
end
},
{name=Tensor},
{name="index"},
{name="IndexTensor", noreadadd=true}})
wrap("scatter",
cname("scatter"),
{{name=Tensor, returned=true},
{name="index"},
{name="IndexTensor", noreadadd=true},
{name=Tensor}},
cname("scatterFill"),
{{name=Tensor, returned=true},
{name="index"},
{name="IndexTensor", noreadadd=true},
{name=real}})
wrap("dot",
cname("dot"),
{{name=Tensor},
{name=Tensor},
{name=accreal, creturned=true}})
wrap("equal",
cname("equal"),
{{name=Tensor},
{name=Tensor},
{name="boolean", creturned=true}})
wrap("add",
cname("add"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=real}},
cname("cadd"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=real, default=1},
{name=Tensor}})
wrap("csub",
cname("sub"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=real}},
cname("csub"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=real, default=1},
{name=Tensor}})
wrap("mul",
cname("mul"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=real}})
wrap("div",
cname("div"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=real}})
wrap("fmod",
cname("fmod"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=real}})
wrap("remainder",
cname("remainder"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=real}})
-- mod alias
wrap("mod",
cname("fmod"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=real}})
wrap("clamp",
cname("clamp"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=real},
{name=real}})
wrap("match",
cname("match"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor},
{name=Tensor},
{name=real, default=1}
})
wrap("cmul",
cname("cmul"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=Tensor}})
wrap("cpow",
cname("cpow"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=Tensor}})
wrap("cdiv",
cname("cdiv"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=Tensor}})
wrap("cfmod",
cname("cfmod"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=Tensor}})
wrap("cremainder",
cname("cremainder"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=Tensor}})
-- cmod alias
wrap("cmod",
cname("cfmod"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=Tensor}})
wrap("addcmul",
cname("addcmul"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=real, default=1},
{name=Tensor},
{name=Tensor}})
wrap("addcdiv",
cname("addcdiv"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}},
{name=real, default=1},
{name=Tensor},
{name=Tensor}})
wrap("mv",
cname("addmv"),
{{name=Tensor, default=true, returned=true, method={default='nil'},
init=function(arg)
return table.concat(
{
arg.__metatable.init(arg),
string.format("TH%s_resize1d(%s, %s->size[0]);", Tensor, arg:carg(), arg.args[5]:carg())
}, '\n')
end,
precall=function(arg)
return table.concat(
{
string.format("TH%s_zero(%s);", Tensor, arg:carg()),
arg.__metatable.precall(arg)
}, '\n')
end,
},
{name=real, default=0, invisible=true},
{name=Tensor, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name=Tensor, dim=2},
{name=Tensor, dim=1}}
)
wrap("mm",
cname("addmm"),
{{name=Tensor, default=true, returned=true, method={default='nil'},
init=function(arg)
return table.concat(
{
arg.__metatable.init(arg),
string.format("TH%s_resize2d(%s, %s->size[0], %s->size[1]);", Tensor, arg:carg(), arg.args[5]:carg(), arg.args[6]:carg())
}, '\n')
end,
precall=function(arg)
return table.concat(
{
string.format("TH%s_zero(%s);", Tensor, arg:carg()),
arg.__metatable.precall(arg)
}, '\n')
end,
},
{name=real, default=0, invisible=true},
{name=Tensor, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name=Tensor, dim=2},
{name=Tensor, dim=2}}
)
wrap("bmm",
cname("baddbmm"),
{{name=Tensor, default=true, returned=true, method={default='nil'},
init=function(arg)
return table.concat(
{
arg.__metatable.init(arg),
string.format("TH%s_resize3d(%s, %s->size[0], %s->size[1], %s->size[2]);",
Tensor, arg:carg(), arg.args[5]:carg(), arg.args[5]:carg(), arg.args[6]:carg())
}, '\n')
end,
precall=function(arg)
return table.concat(
{
string.format("TH%s_zero(%s);", Tensor, arg:carg()),
arg.__metatable.precall(arg)
}, '\n')
end,
},
{name=real, default=0, invisible=true},
{name=Tensor, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name=Tensor, dim=3},
{name=Tensor, dim=3}}
)
wrap("ger",
cname("addr"),
{{name=Tensor, default=true, returned=true, method={default='nil'},
init=function(arg)
return table.concat(
{
arg.__metatable.init(arg),
string.format("TH%s_resize2d(%s, %s->size[0], %s->size[0]);", Tensor, arg:carg(), arg.args[5]:carg(), arg.args[6]:carg())
}, '\n')
end,
precall=function(arg)
return table.concat(
{
string.format("TH%s_zero(%s);", Tensor, arg:carg()),
arg.__metatable.precall(arg)
}, '\n')
end
},
{name=real, default=1, invisible=true},
{name=Tensor, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name=Tensor, dim=1},
{name=Tensor, dim=1}}
)
for _,f in ipairs({
{name="addmv", dim1=1, dim2=2, dim3=1},
{name="addmm", dim1=2, dim2=2, dim3=2},
{name="addr", dim1=2, dim2=1, dim3=1},
{name="addbmm", dim1=2, dim2=3, dim3=3},
{name="baddbmm", dim1=3, dim2=3, dim3=3},
}
) do
interface:wrap(f.name,
cname(f.name),
{{name=Tensor, default=true, returned=true},
{name=real, default=1},
{name=Tensor, dim=f.dim1},
{name=real, default=1},
{name=Tensor, dim=f.dim2},
{name=Tensor, dim=f.dim3}})
-- there is an ambiguity here, hence the more complicated setup
method:wrap(f.name,
cname(f.name),
{{name=Tensor, returned=true, dim=f.dim1},
{name=real, default=1, invisible=true},
{name=Tensor, default=1, dim=f.dim1},
{name=real, default=1},
{name=Tensor, dim=f.dim2},
{name=Tensor, dim=f.dim3}},
cname(f.name),
{{name=Tensor, returned=true, dim=f.dim1},
{name=real},
{name=Tensor, default=1, dim=f.dim1},
{name=real},
{name=Tensor, dim=f.dim2},
{name=Tensor, dim=f.dim3}})
end
wrap("numel",
cname("numel"),
{{name=Tensor},
{name="ptrdiff_t", creturned=true}})
for _,name in ipairs({"cumsum", "cumprod"}) do
wrap(name,
cname(name),
{{name=Tensor, default=true, returned=true},
{name=Tensor},
{name="index", default=1}})
end
wrap("sum",
cname("sumall"),
{{name=Tensor},
{name=accreal, creturned=true}},
cname("sum"),
{{name=Tensor, default=true, returned=true},
{name=Tensor},
{name="index"}})
wrap("prod",
cname("prodall"),
{{name=Tensor},
{name=accreal, creturned=true}},
cname("prod"),
{{name=Tensor, default=true, returned=true},
{name=Tensor},
{name="index"}})
for _,name in ipairs({"min", "max"}) do
wrap(name,
cname(name .. "all"),
{{name=Tensor},
{name=real, creturned=true}},
cname(name),
{{name=Tensor, default=true, returned=true},
{name="IndexTensor", default=true, returned=true, noreadadd=true},
{name=Tensor},
{name="index"}})
end
for _,name in ipairs({"cmin", "cmax"}) do
wrap(name,
cname(name),
{{name=Tensor, default=true, returned=true},
{name=Tensor, method={default=1}},
{name=Tensor}},
cname(name .. "Value"),
{{name=Tensor, default=true, returned=true},
{name=Tensor, method={default=1}},
{name=real}})
end
wrap("trace",
cname("trace"),
{{name=Tensor},
{name=accreal, creturned=true}})
wrap("cross",
cname("cross"),
{{name=Tensor, default=true, returned=true},
{name=Tensor},
{name=Tensor},
{name="index", default=0}})
wrap("diag",
cname("diag"),
{{name=Tensor, default=true, returned=true},
{name=Tensor},
{name="long", default=0}})
wrap("eye",
cname("eye"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name="long"},
{name="long", default=0}})
wrap("range",
cname("range"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=accreal},
{name=accreal},
{name=accreal, default=1}})
wrap("randperm",
cname("randperm"),
{{name=Tensor, default=true, returned=true, method={default='nil'},
postcall=function(arg)
return table.concat(
{
arg.__metatable.postcall(arg),
string.format("TH%s_add(%s, %s, 1);", Tensor, arg:carg(), arg:carg())
}, '\n')
end},
{name="Generator", default=true},
{name="long"}})
wrap("sort",
cname("sort"),
{{name=Tensor, default=true, returned=true},
{name="IndexTensor", default=true, returned=true, noreadadd=true},
{name=Tensor},
{name="index", default=lastdim(3)},
{name="boolean", default=0}})
wrap("topk",
cname("topk"),
{{name=Tensor, default=true, returned=true},
{name="IndexTensor", default=true, returned=true, noreadadd=true},
{name=Tensor},
{name="long", default=1},
{name="index", default=lastdim(3)},
{name="boolean", default=0},
{name="boolean", default=0}})
wrap("kthvalue",
cname("kthvalue"),
{{name=Tensor, default=true, returned=true},
{name="IndexTensor", default=true, returned=true, noreadadd=true},
{name=Tensor},
{name="long"},
{name="index", default=lastdim(3)}})
wrap("mode",
cname("mode"),
{{name=Tensor, default=true, returned=true},
{name="IndexTensor", default=true, returned=true, noreadadd=true},
{name=Tensor},
{name="index", default=lastdim(3)}})
wrap("median",
cname("median"),
{{name=Tensor, default=true, returned=true},
{name="IndexTensor", default=true, returned=true, noreadadd=true},
{name=Tensor},
{name="index", default=lastdim(3)}})
wrap("tril",
cname("tril"),
{{name=Tensor, default=true, returned=true},
{name=Tensor},
{name="int", default=0}})
wrap("triu",
cname("triu"),
{{name=Tensor, default=true, returned=true},
{name=Tensor},
{name="int", default=0}})
wrap("cat",
cname("cat"),
{{name=Tensor, default=true, returned=true},
{name=Tensor},
{name=Tensor},
{name="index", default=lastdim(2)}},
cname("catArray"),
{{name=Tensor, default=true, returned=true},
{name=Tensor .. "Array"},
{name="index", default=lastdimarray(2)}})
if Tensor == 'ByteTensor' then -- we declare this only once
interface:print(
[[
static long THRandom_random2__(THGenerator *gen, long a, long b)
{
THArgCheck(b >= a, 2, "upper bound must be larger than lower bound");
return((THRandom_random(gen) % (b+1-a)) + a);
}
static long THRandom_random1__(THGenerator *gen, long b)
{
THArgCheck(b > 0, 1, "upper bound must be strictly positive");
return(THRandom_random(gen) % b + 1);
}
]])
end
interface:print(string.gsub(
[[
static void THTensor_random2__(THTensor *self, THGenerator *gen, long a, long b)
{
THArgCheck(b >= a, 2, "upper bound must be larger than lower bound");
TH_TENSOR_APPLY(real, self, *self_data = ((THRandom_random(gen) % (b+1-a)) + a);)
}
static void THTensor_random1__(THTensor *self, THGenerator *gen, long b)
{
THArgCheck(b > 0, 1, "upper bound must be strictly positive");
TH_TENSOR_APPLY(real, self, *self_data = (THRandom_random(gen) % b + 1);)
}
]], 'Tensor', Tensor):gsub('real', real))
wrap('random',
'THRandom_random2__',
{{name='Generator', default=true},
{name='long'},
{name='long'},
{name='long', creturned=true}},
'THRandom_random1__',
{{name='Generator', default=true},
{name='long'},
{name='long', creturned=true}},
'THRandom_random',
{{name='Generator', default=true},
{name='long', creturned=true}},
cname("random2__"),
{{name=Tensor, returned=true},
{name='Generator', default=true},
{name='long'},
{name='long'}},
cname("random1__"),
{{name=Tensor, returned=true},
{name='Generator', default=true},
{name='long'}},
cname("random"),
{{name=Tensor, returned=true},
{name='Generator', default=true}})
wrap("geometric",
"THRandom_geometric",
{{name="Generator", default=true},
{name="double"},
{name="double", creturned=true}},
cname("geometric"),
{{name=Tensor, returned=true},
{name="Generator", default=true},
{name="double"}})
wrap("bernoulli",
"THRandom_bernoulli",
{{name="Generator", default=true},
{name="double", default=0.5},
{name="double", creturned=true}},
cname("bernoulli"),
{{name=Tensor, returned=true},
{name="Generator", default=true},
{name="double", default=0.5}},
cname("bernoulli_FloatTensor"),
{{name=Tensor, returned=true},
{name="Generator", default=true},
{name="FloatTensor"}},
cname("bernoulli_DoubleTensor"),
{{name=Tensor, returned=true},
{name="Generator", default=true},
{name="DoubleTensor"}})
wrap("squeeze",
cname("squeeze"),
{{name=Tensor, default=true, returned=true, postcall=function(arg)
local txt = {}
if arg.returned then
table.insert(txt, string.format('if(arg%d->nDimension == 1 && arg%d->size[0] == 1)', arg.i, arg.i)) -- number
table.insert(txt, string.format('lua_pushnumber(L, (lua_Number)(*TH%s_data(arg%d)));', Tensor, arg.i))
end
return table.concat(txt, '\n')
end},
{name=Tensor}},
cname("squeeze1d"),
{{name=Tensor, default=true, returned=true,
postcall=
function(arg)
local txt = {}
if arg.returned then
table.insert(txt, string.format('if(!hasdims && arg%d->nDimension == 1 && arg%d->size[0] == 1)', arg.i, arg.i)) -- number
table.insert(txt, string.format('lua_pushnumber(L, (lua_Number)(*TH%s_data(arg%d)));}', Tensor, arg.i))
end
return table.concat(txt, '\n')
end},
{name=Tensor,
precall=
function(arg)
return string.format('{int hasdims = arg%d->nDimension > 1;', arg.i)
end},
{name="index"}})
wrap("sign",
cname("sign"),
{{name=Tensor, default=true, returned=true, method={default='nil'}},
{name=Tensor, method={default=1}}})
wrap("conv2",
cname("conv2Dmul"),
{{name=Tensor, default=true, returned=true},
{name=real, default=0, invisible=true},
{name=real, default=1, invisible=true},
{name=Tensor, dim=2},
{name=Tensor, dim=2},
{name=real, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name='charoption', values={'V', 'F'}, default='V'},
{name='charoption', default="C", invisible=true}},
cname("conv2Dcmul"),
{{name=Tensor, default=true, returned=true},
{name=real, default=0, invisible=true},
{name=real, default=1, invisible=true},
{name=Tensor, dim=3},
{name=Tensor, dim=3},
{name=real, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name='charoption', values={'V', 'F'}, default='V'},
{name='charoption', default="C", invisible=true}},
cname("conv2Dmv"),
{{name=Tensor, default=true, returned=true},
{name=real, default=0, invisible=true},
{name=real, default=1, invisible=true},
{name=Tensor, dim=3},
{name=Tensor, dim=4},
{name=real, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name='charoption', values={'V', 'F'}, default='V'},
{name='charoption', default="C", invisible=true}}
)
wrap("xcorr2",
cname("conv2Dmul"),
{{name=Tensor, default=true, returned=true},
{name=real, default=0, invisible=true},
{name=real, default=1, invisible=true},
{name=Tensor, dim=2},
{name=Tensor, dim=2},
{name=real, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name='charoption', values={'V', 'F'}, default='V'},
{name='charoption', default="X", invisible=true}},
cname("conv2Dcmul"),
{{name=Tensor, default=true, returned=true},
{name=real, default=0, invisible=true},
{name=real, default=1, invisible=true},
{name=Tensor, dim=3},
{name=Tensor, dim=3},
{name=real, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name='charoption', values={'V', 'F'}, default='V'},
{name='charoption', default="X", invisible=true}},
cname("conv2Dmv"),
{{name=Tensor, default=true, returned=true},
{name=real, default=0, invisible=true},
{name=real, default=1, invisible=true},
{name=Tensor, dim=3},
{name=Tensor, dim=4},
{name=real, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name='charoption', values={'V', 'F'}, default='V'},
{name='charoption', default="X", invisible=true}}
)
wrap("conv3",
cname("conv3Dmul"),
{{name=Tensor, default=true, returned=true},
{name=real, default=0, invisible=true},
{name=real, default=1, invisible=true},
{name=Tensor, dim=3},
{name=Tensor, dim=3},
{name=real, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name='charoption', values={'V', 'F'}, default='V'},
{name='charoption', default="C", invisible=true}},
cname("conv3Dcmul"),
{{name=Tensor, default=true, returned=true},
{name=real, default=0, invisible=true},
{name=real, default=1, invisible=true},
{name=Tensor, dim=4},
{name=Tensor, dim=4},
{name=real, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name='charoption', values={'V', 'F'}, default='V'},
{name='charoption', default="C", invisible=true}},
cname("conv3Dmv"),
{{name=Tensor, default=true, returned=true},
{name=real, default=0, invisible=true},
{name=real, default=1, invisible=true},
{name=Tensor, dim=4},
{name=Tensor, dim=5},
{name=real, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name='charoption', values={'V', 'F'}, default='V'},
{name='charoption', default="C", invisible=true}}
)
wrap("xcorr3",
cname("conv3Dmul"),
{{name=Tensor, default=true, returned=true},
{name=real, default=0, invisible=true},
{name=real, default=1, invisible=true},
{name=Tensor, dim=3},
{name=Tensor, dim=3},
{name=real, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name='charoption', values={'V', 'F'}, default='V'},
{name='charoption', default="X", invisible=true}},
cname("conv3Dcmul"),
{{name=Tensor, default=true, returned=true},
{name=real, default=0, invisible=true},
{name=real, default=1, invisible=true},
{name=Tensor, dim=4},
{name=Tensor, dim=4},
{name=real, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name=real, default=1, invisible=true},
{name='charoption', values={'V', 'F'}, default='V'},
{name='charoption', default="X", invisible=true}},
cname("conv3Dmv"),
{{name=Tensor, default=true, returned=true},
{name=real, default=0, invisible=true},
{name=real, default=1, invisible=true},
{name=Tensor, dim=4},