【发布时间】:2017-12-27 07:59:11
【问题描述】:
这是我之前的问题Lua: Semantic Similarity using Neural Networks 的后续。
为了语义相似性,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
并在终端中使用以下命令执行,
> th similarity.lua
但它显示的错误是,
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 ?
Conv.lua 的前几行是,
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)
请指导我解决这个问题。
【问题讨论】:
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将links 发布到您尝试使用的库对回答很有帮助。
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注意:这是this question的后续。