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-- We are using paths.require to appease mkl
-- Make this work with LuaJIT in Lua 5.2 compatibility mode, which
-- renames string.gfind (already deprecated in 5.1)
if not string.gfind then
string.gfind = string.gmatch
end
if not table.unpack then
table.unpack = unpack
end
require "paths"
paths.require "libtorch"
-- Keep track of all thread local variables torch.
-- if a Lua VM is passed to another thread thread local
-- variables need to be updated.
function torch.updatethreadlocals()
torch.updateerrorhandlers()
local tracking = torch._heaptracking
if tracking == nil then tracking = false end
torch.setheaptracking(tracking)
end
--- package stuff
function torch.packageLuaPath(name)
if not name then
local ret = string.match(torch.packageLuaPath('torch'), '(.*)/')
if not ret then --windows?
ret = string.match(torch.packageLuaPath('torch'), '(.*)\\')
end
return ret
end
for path in string.gmatch(package.path, "[^;]+") do
path = string.gsub(path, "%?", name)
local f = io.open(path)
if f then
f:close()
local ret = string.match(path, "(.*)/")
if not ret then --windows?
ret = string.match(path, "(.*)\\")
end
return ret
end
end
end
local function include(file, depth)
paths.dofile(file, 3 + (depth or 0))
end
rawset(_G, 'include', include)
function torch.include(package, file)
dofile(torch.packageLuaPath(package) .. '/' .. file)
end
function torch.class(...)
local tname, parenttname, module
if select('#', ...) == 3
and type(select(1, ...)) == 'string'
and type(select(2, ...)) == 'string'
and type(select(3, ...)) == 'table'
then
tname = select(1, ...)
parenttname = select(2, ...)
module = select(3, ...)
elseif select('#', ...) == 2
and type(select(1, ...)) == 'string'
and type(select(2, ...)) == 'string'
then
tname = select(1, ...)
parenttname = select(2, ...)
elseif select('#', ...) == 2
and type(select(1, ...)) == 'string'
and type(select(2, ...)) == 'table'
then
tname = select(1, ...)
module = select(2, ...)
elseif select('#', ...) == 1
and type(select(1, ...)) == 'string'
then
tname = select(1, ...)
else
error('<class name> [<parent class name>] [<module table>] expected')
end
local function constructor(...)
local self = {}
torch.setmetatable(self, tname)
if self.__init then
self:__init(...)
end
return self
end
local function factory()
local self = {}
torch.setmetatable(self, tname)
return self
end
local mt = torch.newmetatable(tname, parenttname, constructor, nil, factory, module)
local mpt
if parenttname then
mpt = torch.getmetatable(parenttname)
end
return mt, mpt
end
function torch.setdefaulttensortype(typename)
assert(type(typename) == 'string', 'string expected')
if torch.getconstructortable(typename) then
torch.Tensor = torch.getconstructortable(typename)
torch.Storage = torch.getconstructortable(torch.typename(torch.Tensor(1):storage()))
else
error(string.format("<%s> is not a string describing a torch object", typename))
end
end
function torch.type(obj)
local class = torch.typename(obj)
if not class then
class = type(obj)
end
return class
end
--[[ See if a given object is an instance of the provided torch class. ]]
function torch.isTypeOf(obj, typeSpec)
-- typeSpec can be provided as either a string, pattern, or the constructor.
-- If the constructor is used, we look in the __typename field of the
-- metatable to find a string to compare to.
if type(typeSpec) ~= 'string' then
typeSpec = getmetatable(typeSpec).__typename
assert(type(typeSpec) == 'string',
"type must be provided as [regexp] string, or factory")
end
local mt = getmetatable(obj)
while mt do
if type(mt) == 'table' and mt.__typename then
local match = mt.__typename:match(typeSpec)
-- Require full match for non-pattern specs
if match and (match ~= typeSpec or match == mt.__typename) then
return true
end
end
mt = getmetatable(mt)
end
return false
end
torch.setdefaulttensortype('torch.DoubleTensor')
require('torch.Tensor')
require('torch.File')
require('torch.CmdLine')
require('torch.FFInterface')
require('torch.Tester')
require('torch.TestSuite')
require('torch.test')
function torch.totable(obj)
if torch.isTensor(obj) or torch.isStorage(obj) then
return obj:totable()
else
error("obj must be a Storage or a Tensor")
end
end
function torch.isTensor(obj)
local typename = torch.typename(obj)
if typename and typename:find('torch.*Tensor') then
return true
end
return false
end
function torch.isStorage(obj)
local typename = torch.typename(obj)
if typename and typename:find('torch.*Storage') then
return true
end
return false
end
-- alias for convenience
torch.Tensor.isTensor = torch.isTensor
-- remove this line to disable automatic heap-tracking for garbage collection
torch.setheaptracking(true)
function torch.multinomialAliasSetup(probs, state)
if torch.type(state) == 'table' then
state[1], state[2] = torch.multinomialAliasSetup_(probs, state[1], state[2])
else
state = {}
state[1], state[2] = torch.multinomialAliasSetup_(probs)
end
return state
end
function torch.multinomialAlias(output, state)
torch.DoubleTensor.multinomialAlias_(output, state[1], state[2])
return output
end
return torch
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