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#!/usr/bin/env lua
--[[
Author: Vincent Nguyen (Ubiqus)
License MIT
Usage
Change the section below server_cfg according to your settings
When querying, "id" : n , where n is the model index in your config.
th tools/rest_multi_models.lua -model -gpuid 1
query the server:
curl -v -H "Content-Type: application/json" -X POST -d '[{ "src" : "international migration" , "id" : 1 }]' http://127.0.0.1:7784/translator/translate
]]
require('onmt.init')
local yaml = require 'yaml'
local tokenizer = require('tools.utils.tokenizer')
local BPE = require ('tools.utils.BPE')
local restserver = require('tools.restserver.restserver')
local cmd = onmt.utils.ExtendedCmdLine.new('rest_multi_models.lua')
local server_options = {
{
'-port', 7784,
[[Port to run the server on.]],
{
valid = onmt.utils.ExtendedCmdLine.isUInt
}
},
{
'-withAttn', false,
[[If set returns by default attn vector.]]
},
{
'-unload_time', 7,
[[Unload unused model from memory after this time.]]
},
{
'-model_config', 'tools/rest_config.yml',
[[Path to yaml configuration file.]],
{
valid = onmt.utils.ExtendedCmdLine.fileExists
}
}
}
cmd:setCmdLineOptions(server_options, 'Server')
onmt.utils.Cuda.declareOpts(cmd)
onmt.utils.Logger.declareOpts(cmd)
local opt_server = cmd:parse(arg)
local fconfig = io.open(opt_server.model_config, "rb")
assert(fconfig)
local content_config = fconfig:read "*a"
fconfig:close()
local server_cfg = yaml.load(content_config)
-- CAREFULL opt is a table of options here, ie a table of what opt is usually in onmt
local opt = {}
for i=1, #server_cfg do
local model_cmd = onmt.utils.ExtendedCmdLine.new()
local model_config = {}
for k,v in pairs(server_cfg[i]) do
table.insert(model_config, {'-'..k, v, ''})
end
model_cmd:setCmdLineOptions(model_config, 'Server')
onmt.translate.Translator.declareOpts(model_cmd)
tokenizer.declareOpts(model_cmd)
model_cmd:text("")
model_cmd:text("**Other options**")
model_cmd:text("")
model_cmd:option('-batchsize', 1000, [[Size of each parallel batch - you should not change except if low memory.]])
opt[i] = model_cmd:parse({})
end
local function translateMessage(server, lines)
local batch = {}
-- We need to tokenize the input line before translation
local bpe
local res
local err
-- first item contains both the src (to translate) AND the id of the engine
-- these local variables are set to match the previous version of code
local options = server.opt[lines[1].id]
local translator = server.translator[lines[1].id]
_G.logger:info("Start Tokenization")
if options.bpe_model ~= '' then
bpe = BPE.new(options)
end
for i = 1, #lines do
local srcTokenized = {}
local tokens
local srcTokens = {}
res, err = pcall(function() tokens = tokenizer.tokenize(options, lines[i].src, bpe) end)
-- it can generate an exception if there are utf-8 issues in the text
if not res then
if string.find(err, "interrupted") then
error("interrupted")
else
error("unicode error in line " .. err)
end
end
table.insert(srcTokenized, table.concat(tokens, ' '))
-- Extract from the line.
for word in srcTokenized[1]:gmatch'([^%s]+)' do
table.insert(srcTokens, word)
end
-- Currently just a single batch.
table.insert(batch, translator:buildInput(srcTokens))
end
-- Translate
_G.logger:info("Start Translation")
local results = translator:translate(batch)
_G.logger:info("End Translation")
-- Return the nbest translations for each in the batch.
local translations = {}
for b = 1, #lines do
local ret = {}
for i = 1, translator.args.n_best do
local srcSent = translator:buildOutput(batch[b])
local lineres = {
tgt = "",
src = srcSent,
n_best = 1,
pred_score = 0
}
if results[b].preds ~= nil then
local predSent
res, err = pcall(function()
predSent = tokenizer.detokenize(options,
results[b].preds[i].words,
results[b].preds[i].features)
end)
if not res then
if string.find(err,"interrupted") then
error("interrupted")
else
error("unicode error in line ".. err)
end
end
lineres = {
tgt = predSent,
src = srcSent,
n_best = i,
pred_score = results[b].preds[i].score
}
if options.withAttn or lines[b].withAttn then
local attnTable = {}
for j = 1, #results[b].preds[i].attention do
table.insert(attnTable, results[b].preds[i].attention[j]:totable())
end
lineres.attn = attnTable
end
end
table.insert(ret, lineres)
end
table.insert(translations, ret)
end
return translations
end
local function init_server(options)
local server = restserver:new():port(opt_server.port)
server.opt = options
server:add_resource("translator", {
{
method = "POST",
path = "/translate",
consumes = "application/json",
produces = "application/json",
handler = function(req)
_G.logger:info("receiving request for model id %d",req[1].id)
-- remember the first item contains also the id of the engine
-- for backward compatibility maybe if req[1].id not defined, set it to 1
if req[1].id == nil then
req[1].id = 1
end
if not server.model_loaded[req[1].id] then
-- TODO
-- I need to test here if I have enough memory to load the model
-- if not then I need to unload the oldest one
local freeMemory = onmt.utils.Cuda.freeMemory()
if ( not onmt.utils.Cuda.activated or freeMemory > 3100000000 ) then
_G.logger:info("Loading model id %d",req[1].id)
server.translator[req[1].id] = onmt.translate.Translator.new(server.opt[req[1].id])
server.model_loaded[req[1].id] = true
else
return restserver.response():status(500):entity()
end
end
server.timer[req[1].id] = torch.Timer()
local translate = translateMessage(server,req)
_G.logger:info("sending response model id %d",req[1].id)
return restserver.response():status(200):entity(translate)
end,
}
})
return server
end
local function is_finished(server)
for i=1, #server_cfg do
server.elapsed[i] = server.timer[i]:time().real
if server.elapsed[i] > opt_server.unload_time then
if server.model_loaded[i] then
_G.logger:info("unloading model %d",i)
server.translator[i] = nil
collectgarbage()
server.model_loaded[i] = false
end
end
io.stdout:flush()
io.stderr:flush()
end
return false
end
local function main()
-- load logger
_G.logger = onmt.utils.Logger.new(opt_server.log_file, opt_server.disable_logs, opt_server.log_level)
-- cuda settings
onmt.utils.Cuda.init(opt_server)
-- disable profiling
_G.profiler = onmt.utils.Profiler.new(false)
_G.logger:info("Launch server")
local server = init_server(opt)
for i=1, #server_cfg do
server.timer[i] = torch.Timer()
server.elapsed[i] = 0
server.model_loaded[i] = false
server.translator[i] = nil
end
-- This loads the restserver.xavante plugin
server:enable("tools.restserver.restserver.xavante"):start(function() is_finished(server); end, 3)
end
main()
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