-- This is code common to container modules, which are collections of
-- smaller constituent modules like Parallel, Sequential, etc.
local Container, parent = torch.class('nn.Container', 'nn.Module')

function Container:__init(...)
    parent.__init(self, ...)
    self.modules = {}
end

function Container:add(module)
    table.insert(self.modules, module)
    return self
end

function Container:get(index)
    return self.modules[index]
end

function Container:size()
    return #self.modules
end

-- Check if passing arguments through xpcall is supported in this Lua interpreter.
local _, XPCALL_ARGS = xpcall(function(x) return x ~= nil end, function() end, 1)
local TRACEBACK_WARNING = "WARNING: If you see a stack trace below, it doesn't point to the place where this error occurred. Please use only the one above."
-- module argument can be retrieved with moduleIndex, but code is cleaner when
-- it has to be specified anyway.
function Container:rethrowErrors(module, moduleIndex, funcName, ...)
   assert(module == self.modules[moduleIndex],
          "mismatch between moduleIndex and self.modules in rethrowErrors")
   local function handleError(err)
      -- This will be executed only in the first container that handles the error.
      if not err:find(TRACEBACK_WARNING) then
         local traceback = debug.traceback()
         -- Remove this handler from the stack
         local _, first_line_end = traceback:find('^.-\n')
         local _, second_line_end = traceback:find('^.-\n.-\n')
         traceback = traceback:sub(1, first_line_end) .. traceback:sub(second_line_end+1)
         err = err .. '\n' .. traceback .. '\n\n' .. TRACEBACK_WARNING
      else
         -- Remove file path
         err = err:sub(err:find('\n')+1)
      end
      local msg = string.format('In %d module of %s:',
                              moduleIndex, torch.type(self))
      -- Preceding newline has to be here, because Lua will prepend a file path.
      err = '\n' .. msg .. '\n' .. err
      return err
   end

   -- Lua 5.1 doesn't support passing arguments through xpcall, so they have to
   -- be passed via a closure. This incurs some overhead, so it's better not to
   -- make it the default.
   local ok, ret, noret
   if not XPCALL_ARGS then
      local args = {...}
      local unpack = unpack or table.unpack
      ok, ret, noret = xpcall(function()
                                 return module[funcName](module, unpack(args))
                              end,
                              handleError)
   else
      ok, ret, noret = xpcall(module[funcName], handleError, module, ...)
   end
   assert(noret == nil, "rethrowErrors supports only one return argument")

   if not ok then error(ret) end
   return ret
end

function Container:applyToModules(func)
    for _, module in ipairs(self.modules) do
        func(module)
    end
end

function Container:zeroGradParameters()
    self:applyToModules(function(module) module:zeroGradParameters() end)
end

function Container:updateParameters(learningRate)
    self:applyToModules(function(module) module:updateParameters(learningRate) end)
end

function Container:training()
    self:applyToModules(function(module) module:training() end)
    parent.training(self)
end

function Container:evaluate()
    self:applyToModules(function(module) module:evaluate() end)
    parent.evaluate(self)
end

function Container:share(mlp, ...)
    for i=1,#self.modules do
        self.modules[i]:share(mlp.modules[i], ...);
    end
    return self
end

function Container:reset(stdv)
    self:applyToModules(function(module) module:reset(stdv) end)
end

function Container:parameters()
    local function tinsert(to, from)
        if torch.type(from) == 'table' then
            for i=1,#from do
                tinsert(to,from[i])
            end
        else
            table.insert(to,from)
        end
    end
    local w = {}
    local gw = {}
    for i=1,#self.modules do
        local mw,mgw = self.modules[i]:parameters()
        if mw then
            tinsert(w,mw)
            tinsert(gw,mgw)
        end
    end
    return w,gw
end

function Container:clearState()
   -- don't call set because it might reset referenced tensors
   local function clear(f)
      if self[f] then
         if torch.isTensor(self[f]) then
            self[f] = self[f].new()
         elseif torch.type(self[f]) == 'table' then
            self[f] = {}
         else
            self[f] = nil
         end
      end
   end
   clear('output')
   clear('gradInput')
   if self.modules then
      for i,module in pairs(self.modules) do
         module:clearState()
      end
   end
   return self
end