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data.lua
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data.lua
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--
-- 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.
--
local ffi = require 'ffi'
local Threads = require 'threads'
Threads.serialization('threads.sharedserialize')
-- This script contains the logic to create K threads for parallel data-loading.
-- For the data-loading details, look at donkey.lua
-------------------------------------------------------------------------------
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
print('Tralala!')
nClasses = nil
classes = nil
donkeys:addjob(function() return trainLoader.classes end, function(c) classes = c end)
donkeys:synchronize()
nClasses = #classes
assert(nClasses, "Failed to get nClasses")
assert(nClasses == opt.nClasses,
"nClasses is reported different in the data loader, and in the commandline options")
print('nClasses: ', nClasses)
torch.save(paths.concat(opt.save, 'classes.t7'), classes)
nTest = 0
donkeys:addjob(function() return testLoader:size() end, function(c) nTest = c end)
donkeys:synchronize()
assert(nTest > 0, "Failed to get nTest")
print('nTest: ', nTest)