SimilarityMeasure is an invalid module name

This is a follow-up to my earlier question Lua: Semantic Similarity using Neural Networks.

For Semantic similarity I've execute the following code,

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

And Execute it using the following command in terminal,

> th similarity.lua

But the error it displays is,

while creating metatable similarityMeasure.Conv: bad argument #1 (similarityMeasure is an invalid module name)
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 ?

First few lines in Conv.lua is,

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)

Please guide me to solve this.

回答1:

You are missing the similarityMeasure module (and likely other modules as well). I'm guessing that the things you are missing are dependencies that are not included with the default Torch installation. The installation instructions in the Github respository's readme file say the following:

Please install Torch deep learning library. We recommend this local installation which includes all required packages our tool needs, simply follow the instructions here: https://github.com/torch/distro

If you installed Torch some other way, try doing it using the linked distro instead and see if that fixes the problem.

回答2:

It should work. Also the repo has been recently updated. https://github.com/castorini/MP-CNN-Torch

Once you installed the torch library properly, then you can check and see the newly added/provided testDeployment.lua file, as an example to see how to use the trained model properly.