init.lua

-- 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

require "paths"
paths.require "libtorch"

--- 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

function include(file, depth)
   paths.dofile(file, 3 + (depth or 0))
end

function torch.include(package, file)
   dofile(torch.packageLuaPath(package) .. '/' .. file) 
end

function torch.class(tname, parenttname)

   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)
   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

torch.setdefaulttensortype('torch.DoubleTensor')

include('Tensor.lua')
include('File.lua')
include('CmdLine.lua')
include('FFI.lua')
include('Tester.lua')
include('test.lua')

return torch