SimilarityMeasure 是一个无效的模块名称

这是我之前问题 Lua: Semantic Similarity using Neural Networks 的跟进。

对于语义相似度，我执行了以下代码：

include('Conv.lua')
modelTrained = torch.load("download_local_location/modelSTS.trained.th", 'ascii')
modelTrained.convModel:evaluate()
modelTrained.softMaxC:evaluate()
local linputs = torch.zeros(rigth_sentence_length, emd_dimension)
linpus = XassignEmbeddingValuesX
local rinputs = torch.zeros(left_sentence_length, emd_dimension)
rinpus = XassignEmbeddingValuesX

local part2 = modelTrained.convModel:forward({linputs, rinputs})
local output = modelTrained.softMaxC:forward(part2)
local val = torch.range(0, 5, 1):dot(output:exp())
return val/5

并通过终端使用以下命令执行它：

> th similarity.lua

但它显示的错误是：

while creating metatable similarityMeasure.Conv: bad argument #1 (similarityMeasure 是一个无效的模块名称)
stack traceback:
[C]: in function 'newmetatable'
/torch/install/share/lua/5.2/torch/init.lua:102: in function 'class'
.../textSimilarityConvNet-master/Conv.lua:1: in main chunk
[C]: in function 'dofile'
/torch/install/share/lua/5.2/paths/init.lua:84: in function 'dofile'
/torch/install/share/lua/5.2/torch/init.lua:49: in function 'include'
similarity.lua:1: in main chunk
[C]: in function 'dofile'
.../torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:150: in main chunk
[C]: in ?

Conv.lua 中的前几行代码是：

local Conv = torch.class('similarityMeasure.Conv')

function Conv:__init(config)
  self.mem_dim       = config.mem_dim       or 150
  self.learning_rate = config.learning_rate or 0.01
  self.batch_size    = config.batch_size    or 1 --25
  self.num_layers    = config.num_layers    or 1
  self.reg           = config.reg           or 1e-4
  self.structure     = config.structure     or 'lstm' -- {lstm, bilstm}
  self.sim_nhidden   = config.sim_nhidden   or 150
  self.task          = config.task          or 'sic'  -- or 'vid'

  -- word embedding
  self.emb_vecs = config.emb_vecs
  self.emb_dim = config.emb_vecs:size(2)

请指导我如何解决这个问题。