Question

我有lua 5.2，Torch版本7，Ubuntu版本14.04可信赖已安装

我正在尝试运行以下代码 ++++++++++++++++++++++代码++++++++++++++++++++++++++++++++++++++++++++

require 'neuralconvo' require 'xlua' 
-- Load Dataset 
print("--Loading Dataset") 
dataset=neuralconvo.Dataset(neuralconvo.CornellMovieDiaogs("data/cornell_movie_diaogs"),
{   loadFirst = options.dataset,
    minWordFreq = options.minWordFreq 
})

--Build Model 
model = neuralconvo.Seq2Seq(dataset.wordsCount, options.hiddenSize) model.goToken = dataset.goToken 
model.eosToken=dataset.eosToken

--Training Parameters 
model.criterion=nn.SequencerCriterion(nn.ClassNLLCriterion()) 
model.learningRaw =  options.learningRate 
model.momentum = otions.momentum 
local decayFactor = (options.minLR - options.learningRate)/options.saturateEpoch local minMeanError = nil

--Enable Cuda 
if options.cuda then    
    require 'cutorch'   
    require 'cunn' 
elseif options.opencl then  
    require 'cltorch'   
    require 'clnn'
    model:cl()
end

-- Train Model using backpropogation    
for epoch = 1,options.maxEpoch do
    local errors = torch.Tensor(dataset.examplesCount):fill(0)      
    local timer=torch.timer()
    local i=1
    for examples in dataset:batches(options.batchSize) do                                                                                     
            collectgarbage()
            for _, example in ipairs(examples) do
                    local input, target = unpack(examples) do
                    if options.cuda then
                        input = input:cuda()
                        target = target:cuda()
                    elseif options.opencl then
                        input = input:cl()
                        target = target:cl()
                    end
                    local err=model:train(input, target)
                        if err ~= err then
                            error("Invalid error! Exiting.")
                        end
                    errors[i] = err
                    xlua.progress(i, dataset.examplesCount)
                    i=i+1
                    end             
             end        
             timer:stop()       
--Save the model if not Improved        
if minMeanError == nil or errors:mean() < minMeanError then
                print("\n(Saving model...)")  
                torch.save("data/model.t7",model)
                minMeanError=errors:mean()      
           end
-- Update Learning Rate         
    model.learningRate = model.learningRate + decayFactor       
    model.learningRate = math.max(options.minLR,model.learningRate)         
end     
end

   =============================================================

我收到以下错误

luajit: error loading module 'libpaths' from file '/home/guru99u2/torch/install/lib/lua/5.2/libpaths.so':
    /home/guru99u2/torch/install/lib/lua/5.2/libpaths.so: undefined symbol: luaL_setfuncs
stack traceback:
    [C]: at 0x00450240
    [C]: in function 'require'
    /home/guru99u2/torch/install/share/lua/5.2/paths/init.lua:1: in main chunk
    [C]: in function 'require'
    /home/guru99u2/torch/install/share/lua/5.2/torch/init.lua:12: in main chunk
    [C]: in function 'require'
    ./neuralconvo.lua:1: in main chunk
    [C]: in function 'require'
    bot.lua:1: in main chunk
    [C]: at 0x00404d60

Answer 1

在安装过程中出现问题（或者您没有清除以前的版本），因为您尝试使用为Lua 5.2构建的模块和支持Lua 5.1 ABI的解释器（在本例中为LuaJIT）。结果你得到了错误undefined symbol: luaL_setfuncs，因为动态库希望有这个函数，但加载的解释器不提供它。

Torch支持LuaJIT和Lua 5.2，但是当切换Lua版本时，您需要按照documentation中的说明运行./clean.sh脚本。

Lua抛出错误luajit：从文件

1 个答案: