eval.lua

--
--  Copyright (c) 2014, Facebook, Inc.
--  All rights reserved.
--
--  This source code is licensed under the BSD-style license found in the
--  LICENSE file in the root directory of this source tree. An additional grant
--  of patent rights can be found in the PATENTS file in the same directory.
--
require 'torch'
require 'cutorch'
require 'paths'
require 'xlua'
require 'optim'
require 'nn'
require 'LinearNB'

torch.setdefaulttensortype('torch.FloatTensor')

local opts = paths.dofile('opts.lua')

opt = opts.parse(arg)
print(opt)
model = torch.load(opt.modelPath)
print(model)

require 'image'

paths.dofile('util.lua')
paths.dofile('donkey.lua')

opt.imageSize = model.imageSize or opt.imageSize
opt.imageCrop = model.imageCrop or opt.imageCrop

cutorch.setDevice(opt.GPU) -- by default, use GPU 1
torch.manualSeed(opt.manualSeed)

local ffi = require 'ffi'
local Threads = require 'threads'
Threads.serialization('threads.sharedserialize')

do -- start K datathreads (donkeys)
   if opt.nDonkeys > 0 then
      local options = opt -- make an upvalue to serialize over to donkey threads
      donkeys = Threads(
         opt.nDonkeys,
         function()
            require 'torch'
         end,
         function(idx)
            opt = options -- pass to all donkeys via upvalue
            tid = idx
            local seed = opt.manualSeed + idx
            torch.manualSeed(seed)
            print(string.format('Starting donkey with id: %d seed: %d', tid, seed))
            paths.dofile('donkey.lua')
         end
      );
   else -- single threaded data loading. useful for debugging
      paths.dofile('donkey.lua')
      donkeys = {}
      function donkeys:addjob(f1, f2) f2(f1()) end
      function donkeys:synchronize() end
   end
end



paths.dofile('test.lua')

epoch = opt.epochNumber

nTest = testLoader:size()
test()