From cf1280e11adf39f79ebb6a3bb5d080d6274c0dab Mon Sep 17 00:00:00 2001 From: dgkae Date: Wed, 22 Jun 2016 15:06:44 +0800 Subject: [PATCH 01/12] =?UTF-8?q?=E6=94=B9=E6=88=90=E4=B8=AD=E6=96=87?= =?UTF-8?q?=E5=AF=B9=E8=AF=9D?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 10 +- a.lua | 473 +++++++++++++++++++++++++++++++++++++ cornell_movie_dialogs.lua | 92 ++++---- cornell_movie_dialogs2.lua | 72 ++++++ dataset.lua | 34 ++- eval.lua | 16 ++ lexer.lua | 473 +++++++++++++++++++++++++++++++++++++ tokenizer.lua | 5 + train.lua | 2 + 9 files changed, 1120 insertions(+), 57 deletions(-) mode change 100644 => 100755 README.md create mode 100644 a.lua mode change 100644 => 100755 cornell_movie_dialogs.lua create mode 100644 cornell_movie_dialogs2.lua mode change 100644 => 100755 dataset.lua mode change 100644 => 100755 eval.lua create mode 100644 lexer.lua mode change 100644 => 100755 tokenizer.lua mode change 100644 => 100755 train.lua diff --git a/README.md b/README.md old mode 100644 new mode 100755 index 42ba7af..3171be3 --- a/README.md +++ b/README.md @@ -137,4 +137,12 @@ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. \ No newline at end of file +SOFTWARE. + + +##中文对话 +用https://github.com/dgkae/dgk_lost_conv 作为corpus, +中文是经过分词的,在制作corpus和eval时,都是需要分词的, +分词之间用/间隔,修改了cornell_movie_dialogs.lua,来支持中文的这种分词形式, +lua本身对中文以原始的multibyte的形式存储,所以并没有问题,只是不能使用原来的pl.lexer了(tokenizer)。 +corpus应该存放的位置见cornell_movie_dialogs.lua。 \ No newline at end of file diff --git a/a.lua b/a.lua new file mode 100644 index 0000000..ac5cf28 --- /dev/null +++ b/a.lua @@ -0,0 +1,473 @@ +--- Lexical scanner for creating a sequence of tokens from text. +-- `lexer.scan(s)` returns an iterator over all tokens found in the +-- string `s`. This iterator returns two values, a token type string +-- (such as 'string' for quoted string, 'iden' for identifier) and the value of the +-- token. +-- +-- Versions specialized for Lua and C are available; these also handle block comments +-- and classify keywords as 'keyword' tokens. For example: +-- +-- > s = 'for i=1,n do' +-- > for t,v in lexer.lua(s) do print(t,v) end +-- keyword for +-- iden i +-- = = +-- number 1 +-- , , +-- iden n +-- keyword do +-- +-- See the Guide for further @{06-data.md.Lexical_Scanning|discussion} +-- @module pl.lexer + +local yield,wrap = coroutine.yield,coroutine.wrap +local strfind = string.find +local strsub = string.sub +local append = table.insert + +local function assert_arg(idx,val,tp) + if type(val) ~= tp then + error("argument "..idx.." must be "..tp, 2) + end +end + +local lexer = {} + +local NUMBER1 = '^[%+%-]?%d+%.?%d*[eE][%+%-]?%d+' +local NUMBER2 = '^[%+%-]?%d+%.?%d*' +local NUMBER3 = '^0x[%da-fA-F]+' +local NUMBER4 = '^%d+%.?%d*[eE][%+%-]?%d+' +local NUMBER5 = '^%d+%.?%d*' +local IDEN = '^[%a_][%w_]*' +local WSPACE = '^%s+' +local STRING1 = "^(['\"])%1" -- empty string +local STRING2 = [[^(['"])(\*)%2%1]] +local STRING3 = [[^(['"]).-[^\](\*)%2%1]] +local CHAR1 = "^''" +local CHAR2 = [[^'(\*)%1']] +local CHAR3 = [[^'.-[^\](\*)%1']] +local PREPRO = '^#.-[^\\]\n' + +local plain_matches,lua_matches,cpp_matches,lua_keyword,cpp_keyword + +local function tdump(tok) + return yield(tok,tok) +end + +local function ndump(tok,options) + if options and options.number then + tok = tonumber(tok) + end + return yield("number",tok) +end + +-- regular strings, single or double quotes; usually we want them +-- without the quotes +local function sdump(tok,options) + if options and options.string then + tok = tok:sub(2,-2) + end + return yield("string",tok) +end + +-- long Lua strings need extra work to get rid of the quotes +local function sdump_l(tok,options,findres) + if options and options.string then + local quotelen = 3 + if findres[3] then + quotelen = quotelen + findres[3]:len() + end + tok = tok:sub(quotelen, -quotelen) + if tok:sub(1, 1) == "\n" then + tok = tok:sub(2) + end + end + return yield("string",tok) +end + +local function chdump(tok,options) + if options and options.string then + tok = tok:sub(2,-2) + end + return yield("char",tok) +end + +local function cdump(tok) + return yield('comment',tok) +end + +local function wsdump (tok) + return yield("space",tok) +end + +local function pdump (tok) + return yield('prepro',tok) +end + +local function plain_vdump(tok) + return yield("iden",tok) +end + +local function lua_vdump(tok) + if lua_keyword[tok] then + return yield("keyword",tok) + else + return yield("iden",tok) + end +end + +local function cpp_vdump(tok) + if cpp_keyword[tok] then + return yield("keyword",tok) + else + return yield("iden",tok) + end +end + +--- create a plain token iterator from a string or file-like object. +-- @tparam string|file s a string or a file-like object with `:read()` method returning lines. +-- @tab matches an optional match table - array of token descriptions. +-- A token is described by a `{pattern, action}` pair, where `pattern` should match +-- token body and `action` is a function called when a token of described type is found. +-- @tab[opt] filter a table of token types to exclude, by default `{space=true}` +-- @tab[opt] options a table of options; by default, `{number=true,string=true}`, +-- which means convert numbers and strip string quotes. +function lexer.scan(s,matches,filter,options) + local file = type(s) ~= 'string' and s + filter = filter or {space=true} + options = options or {number=true,string=true} + if filter then + if filter.space then filter[wsdump] = true end + if filter.comments then + filter[cdump] = true + end + end + if not matches then + if not plain_matches then + plain_matches = { + {WSPACE,wsdump}, + {NUMBER3,ndump}, + {IDEN,plain_vdump}, + {NUMBER1,ndump}, + {NUMBER2,ndump}, + {STRING1,sdump}, + {STRING2,sdump}, + {STRING3,sdump}, + {'^.',tdump} + } + end + matches = plain_matches + end + local function lex() + local line_nr = 0 + local next_line = file and file:read() + local sz = file and 0 or #s + local idx = 1 + + while true do + if idx > sz then + if file then + if not next_line then return end + s = next_line + line_nr = line_nr + 1 + next_line = file:read() + if next_line then + s = s .. '\n' + end + idx, sz = 1, #s + else + return + end + end + + for _,m in ipairs(matches) do + local pat = m[1] + local fun = m[2] + local findres = {strfind(s,pat,idx)} + local i1, i2 = findres[1], findres[2] + if i1 then + local tok = strsub(s,i1,i2) + idx = i2 + 1 + local res + if not (filter and filter[fun]) then + lexer.finished = idx > sz + res = fun(tok, options, findres) + end + if res then + local tp = type(res) + -- insert a token list + if tp == 'table' then + yield('','') + for _,t in ipairs(res) do + yield(t[1],t[2]) + end + elseif tp == 'string' then -- or search up to some special pattern + i1,i2 = strfind(s,res,idx) + if i1 then + tok = strsub(s,i1,i2) + idx = i2 + 1 + yield('',tok) + else + yield('','') + idx = sz + 1 + end + else + yield(line_nr,idx) + end + end + + break + end + end + end + end + return wrap(lex) +end + +local function isstring (s) + return type(s) == 'string' +end + +--- insert tokens into a stream. +-- @param tok a token stream +-- @param a1 a string is the type, a table is a token list and +-- a function is assumed to be a token-like iterator (returns type & value) +-- @string a2 a string is the value +function lexer.insert (tok,a1,a2) + if not a1 then return end + local ts + if isstring(a1) and isstring(a2) then + ts = {{a1,a2}} + elseif type(a1) == 'function' then + ts = {} + for t,v in a1() do + append(ts,{t,v}) + end + else + ts = a1 + end + tok(ts) +end + +--- get everything in a stream upto a newline. +-- @param tok a token stream +-- @return a string +function lexer.getline (tok) + local t,v = tok('.-\n') + return v +end + +--- get current line number. +-- Only available if the input source is a file-like object. +-- @param tok a token stream +-- @return the line number and current column +function lexer.lineno (tok) + return tok(0) +end + +--- get the rest of the stream. +-- @param tok a token stream +-- @return a string +function lexer.getrest (tok) + local t,v = tok('.+') + return v +end + +--- get the Lua keywords as a set-like table. +-- So `res["and"]` etc would be `true`. +-- @return a table +function lexer.get_keywords () + if not lua_keyword then + lua_keyword = { + ["and"] = true, ["break"] = true, ["do"] = true, + ["else"] = true, ["elseif"] = true, ["end"] = true, + ["false"] = true, ["for"] = true, ["function"] = true, + ["if"] = true, ["in"] = true, ["local"] = true, ["nil"] = true, + ["not"] = true, ["or"] = true, ["repeat"] = true, + ["return"] = true, ["then"] = true, ["true"] = true, + ["until"] = true, ["while"] = true + } + end + return lua_keyword +end + +--- create a Lua token iterator from a string or file-like object. +-- Will return the token type and value. +-- @string s the string +-- @tab[opt] filter a table of token types to exclude, by default `{space=true,comments=true}` +-- @tab[opt] options a table of options; by default, `{number=true,string=true}`, +-- which means convert numbers and strip string quotes. +function lexer.lua(s,filter,options) + filter = filter or {space=true,comments=true} + lexer.get_keywords() + if not lua_matches then + lua_matches = { + {WSPACE,wsdump}, + {NUMBER3,ndump}, + {IDEN,lua_vdump}, + {NUMBER4,ndump}, + {NUMBER5,ndump}, + {STRING1,sdump}, + {STRING2,sdump}, + {STRING3,sdump}, + {'^%-%-%[(=*)%[.-%]%1%]',cdump}, + {'^%-%-.-\n',cdump}, + {'^%[(=*)%[.-%]%1%]',sdump_l}, + {'^==',tdump}, + {'^~=',tdump}, + {'^<=',tdump}, + {'^>=',tdump}, + {'^%.%.%.',tdump}, + {'^%.%.',tdump}, + {'^.',tdump} + } + end + return lexer.scan(s,lua_matches,filter,options) +end + +--- create a C/C++ token iterator from a string or file-like object. +-- Will return the token type type and value. +-- @string s the string +-- @tab[opt] filter a table of token types to exclude, by default `{space=true,comments=true}` +-- @tab[opt] options a table of options; by default, `{number=true,string=true}`, +-- which means convert numbers and strip string quotes. +function lexer.cpp(s,filter,options) + filter = filter or {space=true,comments=true} + if not cpp_keyword then + cpp_keyword = { + ["class"] = true, ["break"] = true, ["do"] = true, ["sizeof"] = true, + ["else"] = true, ["continue"] = true, ["struct"] = true, + ["false"] = true, ["for"] = true, ["public"] = true, ["void"] = true, + ["private"] = true, ["protected"] = true, ["goto"] = true, + ["if"] = true, ["static"] = true, ["const"] = true, ["typedef"] = true, + ["enum"] = true, ["char"] = true, ["int"] = true, ["bool"] = true, + ["long"] = true, ["float"] = true, ["true"] = true, ["delete"] = true, + ["double"] = true, ["while"] = true, ["new"] = true, + ["namespace"] = true, ["try"] = true, ["catch"] = true, + ["switch"] = true, ["case"] = true, ["extern"] = true, + ["return"] = true,["default"] = true,['unsigned'] = true,['signed'] = true, + ["union"] = true, ["volatile"] = true, ["register"] = true,["short"] = true, + } + end + if not cpp_matches then + cpp_matches = { + {WSPACE,wsdump}, + {PREPRO,pdump}, + {NUMBER3,ndump}, + {IDEN,cpp_vdump}, + {NUMBER4,ndump}, + {NUMBER5,ndump}, + {CHAR1,chdump}, + {CHAR2,chdump}, + {CHAR3,chdump}, + {STRING1,sdump}, + {STRING2,sdump}, + {STRING3,sdump}, + {'^//.-\n',cdump}, + {'^/%*.-%*/',cdump}, + {'^==',tdump}, + {'^!=',tdump}, + {'^<=',tdump}, + {'^>=',tdump}, + {'^->',tdump}, + {'^&&',tdump}, + {'^||',tdump}, + {'^%+%+',tdump}, + {'^%-%-',tdump}, + {'^%+=',tdump}, + {'^%-=',tdump}, + {'^%*=',tdump}, + {'^/=',tdump}, + {'^|=',tdump}, + {'^%^=',tdump}, + {'^::',tdump}, + {'^.',tdump} + } + end + return lexer.scan(s,cpp_matches,filter,options) +end + +--- get a list of parameters separated by a delimiter from a stream. +-- @param tok the token stream +-- @string[opt=')'] endtoken end of list. Can be '\n' +-- @string[opt=','] delim separator +-- @return a list of token lists. +function lexer.get_separated_list(tok,endtoken,delim) + endtoken = endtoken or ')' + delim = delim or ',' + local parm_values = {} + local level = 1 -- used to count ( and ) + local tl = {} + local function tappend (tl,t,val) + val = val or t + append(tl,{t,val}) + end + local is_end + if endtoken == '\n' then + is_end = function(t,val) + return t == 'space' and val:find '\n' + end + else + is_end = function (t) + return t == endtoken + end + end + local token,value + while true do + token,value=tok() + if not token then return nil,'EOS' end -- end of stream is an error! + if is_end(token,value) and level == 1 then + append(parm_values,tl) + break + elseif token == '(' then + level = level + 1 + tappend(tl,'(') + elseif token == ')' then + level = level - 1 + if level == 0 then -- finished with parm list + append(parm_values,tl) + break + else + tappend(tl,')') + end + elseif token == delim and level == 1 then + append(parm_values,tl) -- a new parm + tl = {} + else + tappend(tl,token,value) + end + end + return parm_values,{token,value} +end + +--- get the next non-space token from the stream. +-- @param tok the token stream. +function lexer.skipws (tok) + local t,v = tok() + while t == 'space' do + t,v = tok() + end + return t,v +end + +local skipws = lexer.skipws + +--- get the next token, which must be of the expected type. +-- Throws an error if this type does not match! +-- @param tok the token stream +-- @string expected_type the token type +-- @bool no_skip_ws whether we should skip whitespace +function lexer.expecting (tok,expected_type,no_skip_ws) + assert_arg(1,tok,'function') + assert_arg(2,expected_type,'string') + local t,v + if no_skip_ws then + t,v = tok() + else + t,v = skipws(tok) + end + if t ~= expected_type then error ("expecting "..expected_type,2) end + return v +end + +return lexer diff --git a/cornell_movie_dialogs.lua b/cornell_movie_dialogs.lua old mode 100644 new mode 100755 index cf298d5..77bba2c --- a/cornell_movie_dialogs.lua +++ b/cornell_movie_dialogs.lua @@ -2,71 +2,63 @@ local CornellMovieDialogs = torch.class("neuralconvo.CornellMovieDialogs") local stringx = require "pl.stringx" local xlua = require "xlua" -local function parsedLines(file, fields) - local f = assert(io.open(file, 'r')) - - return function() - local line = f:read("*line") - - if line == nil then - f:close() - return - end - - local values = stringx.split(line, " +++$+++ ") - local t = {} - - for i,field in ipairs(fields) do - t[field] = values[i] - end - - return t - end -end - function CornellMovieDialogs:__init(dir) self.dir = dir end -local MOVIE_LINES_FIELDS = {"lineID","characterID","movieID","character","text"} -local MOVIE_CONVERSATIONS_FIELDS = {"character1ID","character2ID","movieID","utteranceIDs"} -local TOTAL_LINES = 387810 - -local function progress(c) - if c % 10000 == 0 then - xlua.progress(c, TOTAL_LINES) - end -end function CornellMovieDialogs:load() local lines = {} local conversations = {} - local count = 0 + local count = 1 print("-- Parsing Cornell movie dialogs data set ...") - - for line in parsedLines(self.dir .. "/movie_lines.txt", MOVIE_LINES_FIELDS) do - lines[line.lineID] = line - line.lineID = nil - -- Remove unused fields - line.characterID = nil - line.movieID = nil - count = count + 1 - progress(count) + + + local f = assert(io.open('../dgk_shooter_z.conv', 'r')) + + while true do + local line = f:read("*line") + if line == nil then + f:close() + break + end + + lines[count] = line + count = count + 1 end - for conv in parsedLines(self.dir .. "/movie_conversations.txt", MOVIE_CONVERSATIONS_FIELDS) do - local conversation = {} - local lineIDs = stringx.split(conv.utteranceIDs:sub(3, -3), "', '") - for i,lineID in ipairs(lineIDs) do - table.insert(conversation, lines[lineID]) + print("Total lines = "..count) + local tmpconv = nil + + local TOTAL = #lines + local count = 0 + + for i, line in ipairs(lines) do + --print(i..' '..line) + if string.sub(line, 0, 1) == "E" then + + if tmpconv ~= nil then + --print('new conv'..#tmpconv) + table.insert(conversations, tmpconv) + end + --print('e make the tmpconv') + tmpconv = {} + + end + + if string.sub(line, 0, 1) == "M" then + --print('insert into conv') + local tmpl = string.sub(line, 3, #line) + --print(tmpl) + table.insert(tmpconv, tmpl) end - table.insert(conversations, conversation) + count = count + 1 - progress(count) + if count%1000 == 0 then + xlua.progress(count, TOTAL) + end end - xlua.progress(TOTAL_LINES, TOTAL_LINES) - return conversations end diff --git a/cornell_movie_dialogs2.lua b/cornell_movie_dialogs2.lua new file mode 100644 index 0000000..cf298d5 --- /dev/null +++ b/cornell_movie_dialogs2.lua @@ -0,0 +1,72 @@ +local CornellMovieDialogs = torch.class("neuralconvo.CornellMovieDialogs") +local stringx = require "pl.stringx" +local xlua = require "xlua" + +local function parsedLines(file, fields) + local f = assert(io.open(file, 'r')) + + return function() + local line = f:read("*line") + + if line == nil then + f:close() + return + end + + local values = stringx.split(line, " +++$+++ ") + local t = {} + + for i,field in ipairs(fields) do + t[field] = values[i] + end + + return t + end +end + +function CornellMovieDialogs:__init(dir) + self.dir = dir +end + +local MOVIE_LINES_FIELDS = {"lineID","characterID","movieID","character","text"} +local MOVIE_CONVERSATIONS_FIELDS = {"character1ID","character2ID","movieID","utteranceIDs"} +local TOTAL_LINES = 387810 + +local function progress(c) + if c % 10000 == 0 then + xlua.progress(c, TOTAL_LINES) + end +end + +function CornellMovieDialogs:load() + local lines = {} + local conversations = {} + local count = 0 + + print("-- Parsing Cornell movie dialogs data set ...") + + for line in parsedLines(self.dir .. "/movie_lines.txt", MOVIE_LINES_FIELDS) do + lines[line.lineID] = line + line.lineID = nil + -- Remove unused fields + line.characterID = nil + line.movieID = nil + count = count + 1 + progress(count) + end + + for conv in parsedLines(self.dir .. "/movie_conversations.txt", MOVIE_CONVERSATIONS_FIELDS) do + local conversation = {} + local lineIDs = stringx.split(conv.utteranceIDs:sub(3, -3), "', '") + for i,lineID in ipairs(lineIDs) do + table.insert(conversation, lines[lineID]) + end + table.insert(conversations, conversation) + count = count + 1 + progress(count) + end + + xlua.progress(TOTAL_LINES, TOTAL_LINES) + + return conversations +end diff --git a/dataset.lua b/dataset.lua old mode 100644 new mode 100755 index 4664b0e..8e666a8 --- a/dataset.lua +++ b/dataset.lua @@ -41,6 +41,7 @@ function DataSet:load(loader) local filename = "data/vocab.t7" if path.exists(filename) then + --if false then print("Loading vocabulary from " .. filename .. " ...") local data = torch.load(filename) self.word2id = data.word2id @@ -50,6 +51,7 @@ function DataSet:load(loader) self.eosToken = data.eosToken self.unknownToken = data.unknownToken self.examplesCount = data.examplesCount + --print(self.word2id) else print("" .. filename .. " not found") self:visit(loader:load()) @@ -81,6 +83,7 @@ function DataSet:visit(conversations) local total = self.loadFirst or #conversations * 2 for i, conversation in ipairs(conversations) do + --print(i) if i > total then break end self:visitConversation(conversation) xlua.progress(i, total) @@ -88,12 +91,14 @@ function DataSet:visit(conversations) -- Revisit from the perspective of 2nd character for i, conversation in ipairs(conversations) do + --print(i) if #conversations + i > total then break end self:visitConversation(conversation, 2) xlua.progress(#conversations + i, total) end print("-- Removing low frequency words") + print("sfsgsdfgdf") for i, datum in ipairs(self.examples) do self:removeLowFreqWords(datum[1]) @@ -223,13 +228,15 @@ end function DataSet:visitConversation(lines, start) start = start or 1 + --print("conv lines "..#lines) + for i = start, #lines, 2 do local input = lines[i] local target = lines[i+1] if target then - local inputIds = self:visitText(input.text) - local targetIds = self:visitText(target.text, 2) + local inputIds = self:visitText(input) + local targetIds = self:visitText(target, 2) if inputIds and targetIds then -- Revert inputs @@ -248,18 +255,31 @@ function DataSet:visitText(text, additionalTokens) local words = {} additionalTokens = additionalTokens or 0 - if text == "" then + if text == "" or text == nil then + print "zero text" return end + --print(text) + local values = stringx.split(text, "/") + for i, word in ipairs(values) do + --print("spword:"..word) + table.insert(words, self:makeWordId(word)) + if #words >= self.maxExampleLen - additionalTokens then + break + end + end + +--[[ for t, word in tokenizer.tokenize(text) do + print(word) table.insert(words, self:makeWordId(word)) -- Only keep the first sentence if t == "endpunct" or #words >= self.maxExampleLen - additionalTokens then break end end - +]]-- if #words == 0 then return end @@ -268,13 +288,15 @@ function DataSet:visitText(text, additionalTokens) end function DataSet:makeWordId(word) - word = word:lower() - + --word = word:lower() + --print(word) local id = self.word2id[word] if id then self.wordFreq[word] = self.wordFreq[word] + 1 + --print("more freq > 1") else + --print("to dict word = "..word) self.wordsCount = self.wordsCount + 1 id = self.wordsCount self.id2word[id] = word diff --git a/eval.lua b/eval.lua old mode 100644 new mode 100755 index 86d1772..0c993a4 --- a/eval.lua +++ b/eval.lua @@ -37,6 +37,7 @@ function pred2sent(wordIds, i) for _, wordId in ipairs(wordIds) do local word = dataset.id2word[wordId[i]] + print(wordId[i]..word) table.insert(words, word) end @@ -61,14 +62,29 @@ end function say(text) local wordIds = {} + + + --print(text) + local values = stringx.split(text, " ") + for i, word in ipairs(values) do + local id = dataset.word2id[word] or dataset.unknownToken + print(i.." "..word.." "..id) + + table.insert(wordIds, id) + + end + +--[[ for t, word in tokenizer.tokenize(text) do local id = dataset.word2id[word:lower()] or dataset.unknownToken table.insert(wordIds, id) end +]]-- local input = torch.Tensor(list.reverse(wordIds)) local wordIds, probabilities = model:eval(input) + print(">> " .. pred2sent(wordIds)) if options.debug then diff --git a/lexer.lua b/lexer.lua new file mode 100644 index 0000000..ac5cf28 --- /dev/null +++ b/lexer.lua @@ -0,0 +1,473 @@ +--- Lexical scanner for creating a sequence of tokens from text. +-- `lexer.scan(s)` returns an iterator over all tokens found in the +-- string `s`. This iterator returns two values, a token type string +-- (such as 'string' for quoted string, 'iden' for identifier) and the value of the +-- token. +-- +-- Versions specialized for Lua and C are available; these also handle block comments +-- and classify keywords as 'keyword' tokens. For example: +-- +-- > s = 'for i=1,n do' +-- > for t,v in lexer.lua(s) do print(t,v) end +-- keyword for +-- iden i +-- = = +-- number 1 +-- , , +-- iden n +-- keyword do +-- +-- See the Guide for further @{06-data.md.Lexical_Scanning|discussion} +-- @module pl.lexer + +local yield,wrap = coroutine.yield,coroutine.wrap +local strfind = string.find +local strsub = string.sub +local append = table.insert + +local function assert_arg(idx,val,tp) + if type(val) ~= tp then + error("argument "..idx.." must be "..tp, 2) + end +end + +local lexer = {} + +local NUMBER1 = '^[%+%-]?%d+%.?%d*[eE][%+%-]?%d+' +local NUMBER2 = '^[%+%-]?%d+%.?%d*' +local NUMBER3 = '^0x[%da-fA-F]+' +local NUMBER4 = '^%d+%.?%d*[eE][%+%-]?%d+' +local NUMBER5 = '^%d+%.?%d*' +local IDEN = '^[%a_][%w_]*' +local WSPACE = '^%s+' +local STRING1 = "^(['\"])%1" -- empty string +local STRING2 = [[^(['"])(\*)%2%1]] +local STRING3 = [[^(['"]).-[^\](\*)%2%1]] +local CHAR1 = "^''" +local CHAR2 = [[^'(\*)%1']] +local CHAR3 = [[^'.-[^\](\*)%1']] +local PREPRO = '^#.-[^\\]\n' + +local plain_matches,lua_matches,cpp_matches,lua_keyword,cpp_keyword + +local function tdump(tok) + return yield(tok,tok) +end + +local function ndump(tok,options) + if options and options.number then + tok = tonumber(tok) + end + return yield("number",tok) +end + +-- regular strings, single or double quotes; usually we want them +-- without the quotes +local function sdump(tok,options) + if options and options.string then + tok = tok:sub(2,-2) + end + return yield("string",tok) +end + +-- long Lua strings need extra work to get rid of the quotes +local function sdump_l(tok,options,findres) + if options and options.string then + local quotelen = 3 + if findres[3] then + quotelen = quotelen + findres[3]:len() + end + tok = tok:sub(quotelen, -quotelen) + if tok:sub(1, 1) == "\n" then + tok = tok:sub(2) + end + end + return yield("string",tok) +end + +local function chdump(tok,options) + if options and options.string then + tok = tok:sub(2,-2) + end + return yield("char",tok) +end + +local function cdump(tok) + return yield('comment',tok) +end + +local function wsdump (tok) + return yield("space",tok) +end + +local function pdump (tok) + return yield('prepro',tok) +end + +local function plain_vdump(tok) + return yield("iden",tok) +end + +local function lua_vdump(tok) + if lua_keyword[tok] then + return yield("keyword",tok) + else + return yield("iden",tok) + end +end + +local function cpp_vdump(tok) + if cpp_keyword[tok] then + return yield("keyword",tok) + else + return yield("iden",tok) + end +end + +--- create a plain token iterator from a string or file-like object. +-- @tparam string|file s a string or a file-like object with `:read()` method returning lines. +-- @tab matches an optional match table - array of token descriptions. +-- A token is described by a `{pattern, action}` pair, where `pattern` should match +-- token body and `action` is a function called when a token of described type is found. +-- @tab[opt] filter a table of token types to exclude, by default `{space=true}` +-- @tab[opt] options a table of options; by default, `{number=true,string=true}`, +-- which means convert numbers and strip string quotes. +function lexer.scan(s,matches,filter,options) + local file = type(s) ~= 'string' and s + filter = filter or {space=true} + options = options or {number=true,string=true} + if filter then + if filter.space then filter[wsdump] = true end + if filter.comments then + filter[cdump] = true + end + end + if not matches then + if not plain_matches then + plain_matches = { + {WSPACE,wsdump}, + {NUMBER3,ndump}, + {IDEN,plain_vdump}, + {NUMBER1,ndump}, + {NUMBER2,ndump}, + {STRING1,sdump}, + {STRING2,sdump}, + {STRING3,sdump}, + {'^.',tdump} + } + end + matches = plain_matches + end + local function lex() + local line_nr = 0 + local next_line = file and file:read() + local sz = file and 0 or #s + local idx = 1 + + while true do + if idx > sz then + if file then + if not next_line then return end + s = next_line + line_nr = line_nr + 1 + next_line = file:read() + if next_line then + s = s .. '\n' + end + idx, sz = 1, #s + else + return + end + end + + for _,m in ipairs(matches) do + local pat = m[1] + local fun = m[2] + local findres = {strfind(s,pat,idx)} + local i1, i2 = findres[1], findres[2] + if i1 then + local tok = strsub(s,i1,i2) + idx = i2 + 1 + local res + if not (filter and filter[fun]) then + lexer.finished = idx > sz + res = fun(tok, options, findres) + end + if res then + local tp = type(res) + -- insert a token list + if tp == 'table' then + yield('','') + for _,t in ipairs(res) do + yield(t[1],t[2]) + end + elseif tp == 'string' then -- or search up to some special pattern + i1,i2 = strfind(s,res,idx) + if i1 then + tok = strsub(s,i1,i2) + idx = i2 + 1 + yield('',tok) + else + yield('','') + idx = sz + 1 + end + else + yield(line_nr,idx) + end + end + + break + end + end + end + end + return wrap(lex) +end + +local function isstring (s) + return type(s) == 'string' +end + +--- insert tokens into a stream. +-- @param tok a token stream +-- @param a1 a string is the type, a table is a token list and +-- a function is assumed to be a token-like iterator (returns type & value) +-- @string a2 a string is the value +function lexer.insert (tok,a1,a2) + if not a1 then return end + local ts + if isstring(a1) and isstring(a2) then + ts = {{a1,a2}} + elseif type(a1) == 'function' then + ts = {} + for t,v in a1() do + append(ts,{t,v}) + end + else + ts = a1 + end + tok(ts) +end + +--- get everything in a stream upto a newline. +-- @param tok a token stream +-- @return a string +function lexer.getline (tok) + local t,v = tok('.-\n') + return v +end + +--- get current line number. +-- Only available if the input source is a file-like object. +-- @param tok a token stream +-- @return the line number and current column +function lexer.lineno (tok) + return tok(0) +end + +--- get the rest of the stream. +-- @param tok a token stream +-- @return a string +function lexer.getrest (tok) + local t,v = tok('.+') + return v +end + +--- get the Lua keywords as a set-like table. +-- So `res["and"]` etc would be `true`. +-- @return a table +function lexer.get_keywords () + if not lua_keyword then + lua_keyword = { + ["and"] = true, ["break"] = true, ["do"] = true, + ["else"] = true, ["elseif"] = true, ["end"] = true, + ["false"] = true, ["for"] = true, ["function"] = true, + ["if"] = true, ["in"] = true, ["local"] = true, ["nil"] = true, + ["not"] = true, ["or"] = true, ["repeat"] = true, + ["return"] = true, ["then"] = true, ["true"] = true, + ["until"] = true, ["while"] = true + } + end + return lua_keyword +end + +--- create a Lua token iterator from a string or file-like object. +-- Will return the token type and value. +-- @string s the string +-- @tab[opt] filter a table of token types to exclude, by default `{space=true,comments=true}` +-- @tab[opt] options a table of options; by default, `{number=true,string=true}`, +-- which means convert numbers and strip string quotes. +function lexer.lua(s,filter,options) + filter = filter or {space=true,comments=true} + lexer.get_keywords() + if not lua_matches then + lua_matches = { + {WSPACE,wsdump}, + {NUMBER3,ndump}, + {IDEN,lua_vdump}, + {NUMBER4,ndump}, + {NUMBER5,ndump}, + {STRING1,sdump}, + {STRING2,sdump}, + {STRING3,sdump}, + {'^%-%-%[(=*)%[.-%]%1%]',cdump}, + {'^%-%-.-\n',cdump}, + {'^%[(=*)%[.-%]%1%]',sdump_l}, + {'^==',tdump}, + {'^~=',tdump}, + {'^<=',tdump}, + {'^>=',tdump}, + {'^%.%.%.',tdump}, + {'^%.%.',tdump}, + {'^.',tdump} + } + end + return lexer.scan(s,lua_matches,filter,options) +end + +--- create a C/C++ token iterator from a string or file-like object. +-- Will return the token type type and value. +-- @string s the string +-- @tab[opt] filter a table of token types to exclude, by default `{space=true,comments=true}` +-- @tab[opt] options a table of options; by default, `{number=true,string=true}`, +-- which means convert numbers and strip string quotes. +function lexer.cpp(s,filter,options) + filter = filter or {space=true,comments=true} + if not cpp_keyword then + cpp_keyword = { + ["class"] = true, ["break"] = true, ["do"] = true, ["sizeof"] = true, + ["else"] = true, ["continue"] = true, ["struct"] = true, + ["false"] = true, ["for"] = true, ["public"] = true, ["void"] = true, + ["private"] = true, ["protected"] = true, ["goto"] = true, + ["if"] = true, ["static"] = true, ["const"] = true, ["typedef"] = true, + ["enum"] = true, ["char"] = true, ["int"] = true, ["bool"] = true, + ["long"] = true, ["float"] = true, ["true"] = true, ["delete"] = true, + ["double"] = true, ["while"] = true, ["new"] = true, + ["namespace"] = true, ["try"] = true, ["catch"] = true, + ["switch"] = true, ["case"] = true, ["extern"] = true, + ["return"] = true,["default"] = true,['unsigned'] = true,['signed'] = true, + ["union"] = true, ["volatile"] = true, ["register"] = true,["short"] = true, + } + end + if not cpp_matches then + cpp_matches = { + {WSPACE,wsdump}, + {PREPRO,pdump}, + {NUMBER3,ndump}, + {IDEN,cpp_vdump}, + {NUMBER4,ndump}, + {NUMBER5,ndump}, + {CHAR1,chdump}, + {CHAR2,chdump}, + {CHAR3,chdump}, + {STRING1,sdump}, + {STRING2,sdump}, + {STRING3,sdump}, + {'^//.-\n',cdump}, + {'^/%*.-%*/',cdump}, + {'^==',tdump}, + {'^!=',tdump}, + {'^<=',tdump}, + {'^>=',tdump}, + {'^->',tdump}, + {'^&&',tdump}, + {'^||',tdump}, + {'^%+%+',tdump}, + {'^%-%-',tdump}, + {'^%+=',tdump}, + {'^%-=',tdump}, + {'^%*=',tdump}, + {'^/=',tdump}, + {'^|=',tdump}, + {'^%^=',tdump}, + {'^::',tdump}, + {'^.',tdump} + } + end + return lexer.scan(s,cpp_matches,filter,options) +end + +--- get a list of parameters separated by a delimiter from a stream. +-- @param tok the token stream +-- @string[opt=')'] endtoken end of list. Can be '\n' +-- @string[opt=','] delim separator +-- @return a list of token lists. +function lexer.get_separated_list(tok,endtoken,delim) + endtoken = endtoken or ')' + delim = delim or ',' + local parm_values = {} + local level = 1 -- used to count ( and ) + local tl = {} + local function tappend (tl,t,val) + val = val or t + append(tl,{t,val}) + end + local is_end + if endtoken == '\n' then + is_end = function(t,val) + return t == 'space' and val:find '\n' + end + else + is_end = function (t) + return t == endtoken + end + end + local token,value + while true do + token,value=tok() + if not token then return nil,'EOS' end -- end of stream is an error! + if is_end(token,value) and level == 1 then + append(parm_values,tl) + break + elseif token == '(' then + level = level + 1 + tappend(tl,'(') + elseif token == ')' then + level = level - 1 + if level == 0 then -- finished with parm list + append(parm_values,tl) + break + else + tappend(tl,')') + end + elseif token == delim and level == 1 then + append(parm_values,tl) -- a new parm + tl = {} + else + tappend(tl,token,value) + end + end + return parm_values,{token,value} +end + +--- get the next non-space token from the stream. +-- @param tok the token stream. +function lexer.skipws (tok) + local t,v = tok() + while t == 'space' do + t,v = tok() + end + return t,v +end + +local skipws = lexer.skipws + +--- get the next token, which must be of the expected type. +-- Throws an error if this type does not match! +-- @param tok the token stream +-- @string expected_type the token type +-- @bool no_skip_ws whether we should skip whitespace +function lexer.expecting (tok,expected_type,no_skip_ws) + assert_arg(1,tok,'function') + assert_arg(2,expected_type,'string') + local t,v + if no_skip_ws then + t,v = tok() + else + t,v = skipws(tok) + end + if t ~= expected_type then error ("expecting "..expected_type,2) end + return v +end + +return lexer diff --git a/tokenizer.lua b/tokenizer.lua old mode 100644 new mode 100755 index 071f0b0..5ba657f --- a/tokenizer.lua +++ b/tokenizer.lua @@ -27,10 +27,15 @@ local function endpunct(token) end local function unknown(token) + print("unknown") return yield("unknown", token) end function M.tokenize(text) + + print(text) + + --{ "^[\128-\193]+", word }, return lexer.scan(text, { { "^%s+", space }, { "^['\"]", quote }, diff --git a/train.lua b/train.lua old mode 100644 new mode 100755 index 0399464..1f0d0b1 --- a/train.lua +++ b/train.lua @@ -63,6 +63,8 @@ end -- Run the experiment +print("dgk ending") +--exit() for epoch = 1, options.maxEpoch do print("\n-- Epoch " .. epoch .. 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zj3i?zxr|)z#hAmVhB1Kz=YYnQ2!PYN&bZ4ZhSP`)pd+>OTFJbG$_tpWsWG&QhgnNs zRx!cEy!&gjdJmEj$47WY2VT%wYMxJCVwo7*(kOL2anTlUC{HE|j)D`ElgO#MZQtA5 z4hgx#v5|DQqh4DfgdC@QHoC7Q(6oL_Jq4Zcyk;JLR;H@?=6L*q2*;|}<&9>J{W?Q* z(^#oo=vWMja| Date: Tue, 5 Jul 2016 16:08:03 +0800 Subject: [PATCH 03/12] update --- README.md | 148 ----------------- lexer.lua | 473 ------------------------------------------------------ 2 files changed, 621 deletions(-) delete mode 100755 README.md delete mode 100644 lexer.lua diff --git a/README.md b/README.md deleted file mode 100755 index 3171be3..0000000 --- a/README.md +++ /dev/null @@ -1,148 +0,0 @@ -# Neural Conversational Model in Torch - -This is an attempt at implementing [Sequence to Sequence Learning with Neural Networks (seq2seq)](http://arxiv.org/abs/1409.3215) and reproducing the results in [A Neural Conversational Model](http://arxiv.org/abs/1506.05869) (aka the Google chatbot). - -The Google chatbot paper [became famous](http://www.sciencealert.com/google-s-ai-bot-thinks-the-purpose-of-life-is-to-live-forever) after cleverly answering a few philosophical questions, such as: - -> **Human:** What is the purpose of living? -> **Machine:** To live forever. - -## How it works - -The model is based on two [LSTM](https://en.wikipedia.org/wiki/Long_short-term_memory) layers. One for encoding the input sentence into a "thought vector", and another for decoding that vector into a response. This model is called Sequence-to-sequence or seq2seq. - -![seq2seq](https://4.bp.blogspot.com/-aArS0l1pjHQ/Vjj71pKAaEI/AAAAAAAAAxE/Nvy1FSbD_Vs/s640/2TFstaticgraphic_alt-01.png) -_Source: http://googleresearch.blogspot.ca/2015/11/computer-respond-to-this-email.html_ - -In this experiment, we train the seq2seq model with movie dialogs from the [Cornell Movie-Dialogs Corpus](http://www.mpi-sws.org/~cristian/Cornell_Movie-Dialogs_Corpus.html). The lines are shortened to the first sentence. - -## Sample conversation - -Here's a sample conversation after training for 20 epoch with 50000 examples, using the following command: - -```sh -th train.lua --cuda --dataset 50000 --hiddenSize 1000 -``` - -(Took 3 days to train on my GeForce GTX 780M.) - -For OpenCL, use `--opencl` instead of `--cuda`. To train on CPU, don't provide any of those two. - -> **me:** Hello? -> **bot:** Hi. -> -> **me:** How are you? -> **bot:** I'm fine. -> -> **me:** What's your name? -> **bot:** It's hard to describe. -> -> **me:** How so? -> **bot:** I'm not sure. -> -> **me:** What color is the sky? -> **bot:** It's blue. -> -> **me:** What is your job? -> **bot:** It's not that i'm a fucking werewolf! -> -> **me:** What is the purpose of life? -> **bot:** A gift. -> -> **me:** Are you intelligent? -> **bot:** Yes, well... -> -> **me:** Are you a machine? -> **bot:** That's a lie. -> -> **me:** Are you human? -> **bot:** No, i'm not. -> -> **me:** What are you? -> **bot:** I'm not sure. -> -> **me:** Do you plan on taking over the world? -> **bot:** No, i don't. - -Phew! That was close. Good thing I didn't train it on the full dataset. Please experiment responsibly. - -_(Disclaimer: nonsensical responses have been removed.)_ - -## Installing - -1. [Install Torch](http://torch.ch/docs/getting-started.html). -2. Install the following additional Lua libs: - - ```sh - luarocks install nn - luarocks install rnn - luarocks install penlight - ``` - - To train with CUDA install the latest CUDA drivers, toolkit and run: - - ```sh - luarocks install cutorch - luarocks install cunn - ``` - - To train with opencl install the lastest Opencl torch lib: - - ```sh - luarocks install cltorch - luarocks install clnn - ``` - -3. Download the [Cornell Movie-Dialogs Corpus](http://www.mpi-sws.org/~cristian/Cornell_Movie-Dialogs_Corpus.html) and extract all the files into data/cornell_movie_dialogs. - -## Training - -```sh -th train.lua [-h / options] -``` - -Use the `--dataset NUMBER` option to control the size of the dataset. Training on the full dataset takes about 5h for a single epoch. - -The model will be saved to `data/model.t7` after each epoch if it has improved (error decreased). - -## Testing - -To load the model and have a conversation: - -```sh -th -i eval.lua --cuda # Skip --cuda if you didn't train with it -# ... -th> say "Hello." -``` - -## License - -MIT License - -Copyright (c) 2016 Marc-Andre Cournoyer - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. - - -##中文对话 -用https://github.com/dgkae/dgk_lost_conv 作为corpus, -中文是经过分词的,在制作corpus和eval时,都是需要分词的, -分词之间用/间隔,修改了cornell_movie_dialogs.lua,来支持中文的这种分词形式, -lua本身对中文以原始的multibyte的形式存储,所以并没有问题,只是不能使用原来的pl.lexer了(tokenizer)。 -corpus应该存放的位置见cornell_movie_dialogs.lua。 \ No newline at end of file diff --git a/lexer.lua b/lexer.lua deleted file mode 100644 index ac5cf28..0000000 --- a/lexer.lua +++ /dev/null @@ -1,473 +0,0 @@ ---- Lexical scanner for creating a sequence of tokens from text. --- `lexer.scan(s)` returns an iterator over all tokens found in the --- string `s`. This iterator returns two values, a token type string --- (such as 'string' for quoted string, 'iden' for identifier) and the value of the --- token. --- --- Versions specialized for Lua and C are available; these also handle block comments --- and classify keywords as 'keyword' tokens. For example: --- --- > s = 'for i=1,n do' --- > for t,v in lexer.lua(s) do print(t,v) end --- keyword for --- iden i --- = = --- number 1 --- , , --- iden n --- keyword do --- --- See the Guide for further @{06-data.md.Lexical_Scanning|discussion} --- @module pl.lexer - -local yield,wrap = coroutine.yield,coroutine.wrap -local strfind = string.find -local strsub = string.sub -local append = table.insert - -local function assert_arg(idx,val,tp) - if type(val) ~= tp then - error("argument "..idx.." must be "..tp, 2) - end -end - -local lexer = {} - -local NUMBER1 = '^[%+%-]?%d+%.?%d*[eE][%+%-]?%d+' -local NUMBER2 = '^[%+%-]?%d+%.?%d*' -local NUMBER3 = '^0x[%da-fA-F]+' -local NUMBER4 = '^%d+%.?%d*[eE][%+%-]?%d+' -local NUMBER5 = '^%d+%.?%d*' -local IDEN = '^[%a_][%w_]*' -local WSPACE = '^%s+' -local STRING1 = "^(['\"])%1" -- empty string -local STRING2 = [[^(['"])(\*)%2%1]] -local STRING3 = [[^(['"]).-[^\](\*)%2%1]] -local CHAR1 = "^''" -local CHAR2 = [[^'(\*)%1']] -local CHAR3 = [[^'.-[^\](\*)%1']] -local PREPRO = '^#.-[^\\]\n' - -local plain_matches,lua_matches,cpp_matches,lua_keyword,cpp_keyword - -local function tdump(tok) - return yield(tok,tok) -end - -local function ndump(tok,options) - if options and options.number then - tok = tonumber(tok) - end - return yield("number",tok) -end - --- regular strings, single or double quotes; usually we want them --- without the quotes -local function sdump(tok,options) - if options and options.string then - tok = tok:sub(2,-2) - end - return yield("string",tok) -end - --- long Lua strings need extra work to get rid of the quotes -local function sdump_l(tok,options,findres) - if options and options.string then - local quotelen = 3 - if findres[3] then - quotelen = quotelen + findres[3]:len() - end - tok = tok:sub(quotelen, -quotelen) - if tok:sub(1, 1) == "\n" then - tok = tok:sub(2) - end - end - return yield("string",tok) -end - -local function chdump(tok,options) - if options and options.string then - tok = tok:sub(2,-2) - end - return yield("char",tok) -end - -local function cdump(tok) - return yield('comment',tok) -end - -local function wsdump (tok) - return yield("space",tok) -end - -local function pdump (tok) - return yield('prepro',tok) -end - -local function plain_vdump(tok) - return yield("iden",tok) -end - -local function lua_vdump(tok) - if lua_keyword[tok] then - return yield("keyword",tok) - else - return yield("iden",tok) - end -end - -local function cpp_vdump(tok) - if cpp_keyword[tok] then - return yield("keyword",tok) - else - return yield("iden",tok) - end -end - ---- create a plain token iterator from a string or file-like object. --- @tparam string|file s a string or a file-like object with `:read()` method returning lines. --- @tab matches an optional match table - array of token descriptions. --- A token is described by a `{pattern, action}` pair, where `pattern` should match --- token body and `action` is a function called when a token of described type is found. --- @tab[opt] filter a table of token types to exclude, by default `{space=true}` --- @tab[opt] options a table of options; by default, `{number=true,string=true}`, --- which means convert numbers and strip string quotes. -function lexer.scan(s,matches,filter,options) - local file = type(s) ~= 'string' and s - filter = filter or {space=true} - options = options or {number=true,string=true} - if filter then - if filter.space then filter[wsdump] = true end - if filter.comments then - filter[cdump] = true - end - end - if not matches then - if not plain_matches then - plain_matches = { - {WSPACE,wsdump}, - {NUMBER3,ndump}, - {IDEN,plain_vdump}, - {NUMBER1,ndump}, - {NUMBER2,ndump}, - {STRING1,sdump}, - {STRING2,sdump}, - {STRING3,sdump}, - {'^.',tdump} - } - end - matches = plain_matches - end - local function lex() - local line_nr = 0 - local next_line = file and file:read() - local sz = file and 0 or #s - local idx = 1 - - while true do - if idx > sz then - if file then - if not next_line then return end - s = next_line - line_nr = line_nr + 1 - next_line = file:read() - if next_line then - s = s .. '\n' - end - idx, sz = 1, #s - else - return - end - end - - for _,m in ipairs(matches) do - local pat = m[1] - local fun = m[2] - local findres = {strfind(s,pat,idx)} - local i1, i2 = findres[1], findres[2] - if i1 then - local tok = strsub(s,i1,i2) - idx = i2 + 1 - local res - if not (filter and filter[fun]) then - lexer.finished = idx > sz - res = fun(tok, options, findres) - end - if res then - local tp = type(res) - -- insert a token list - if tp == 'table' then - yield('','') - for _,t in ipairs(res) do - yield(t[1],t[2]) - end - elseif tp == 'string' then -- or search up to some special pattern - i1,i2 = strfind(s,res,idx) - if i1 then - tok = strsub(s,i1,i2) - idx = i2 + 1 - yield('',tok) - else - yield('','') - idx = sz + 1 - end - else - yield(line_nr,idx) - end - end - - break - end - end - end - end - return wrap(lex) -end - -local function isstring (s) - return type(s) == 'string' -end - ---- insert tokens into a stream. --- @param tok a token stream --- @param a1 a string is the type, a table is a token list and --- a function is assumed to be a token-like iterator (returns type & value) --- @string a2 a string is the value -function lexer.insert (tok,a1,a2) - if not a1 then return end - local ts - if isstring(a1) and isstring(a2) then - ts = {{a1,a2}} - elseif type(a1) == 'function' then - ts = {} - for t,v in a1() do - append(ts,{t,v}) - end - else - ts = a1 - end - tok(ts) -end - ---- get everything in a stream upto a newline. --- @param tok a token stream --- @return a string -function lexer.getline (tok) - local t,v = tok('.-\n') - return v -end - ---- get current line number. --- Only available if the input source is a file-like object. --- @param tok a token stream --- @return the line number and current column -function lexer.lineno (tok) - return tok(0) -end - ---- get the rest of the stream. --- @param tok a token stream --- @return a string -function lexer.getrest (tok) - local t,v = tok('.+') - return v -end - ---- get the Lua keywords as a set-like table. --- So `res["and"]` etc would be `true`. --- @return a table -function lexer.get_keywords () - if not lua_keyword then - lua_keyword = { - ["and"] = true, ["break"] = true, ["do"] = true, - ["else"] = true, ["elseif"] = true, ["end"] = true, - ["false"] = true, ["for"] = true, ["function"] = true, - ["if"] = true, ["in"] = true, ["local"] = true, ["nil"] = true, - ["not"] = true, ["or"] = true, ["repeat"] = true, - ["return"] = true, ["then"] = true, ["true"] = true, - ["until"] = true, ["while"] = true - } - end - return lua_keyword -end - ---- create a Lua token iterator from a string or file-like object. --- Will return the token type and value. --- @string s the string --- @tab[opt] filter a table of token types to exclude, by default `{space=true,comments=true}` --- @tab[opt] options a table of options; by default, `{number=true,string=true}`, --- which means convert numbers and strip string quotes. -function lexer.lua(s,filter,options) - filter = filter or {space=true,comments=true} - lexer.get_keywords() - if not lua_matches then - lua_matches = { - {WSPACE,wsdump}, - {NUMBER3,ndump}, - {IDEN,lua_vdump}, - {NUMBER4,ndump}, - {NUMBER5,ndump}, - {STRING1,sdump}, - {STRING2,sdump}, - {STRING3,sdump}, - {'^%-%-%[(=*)%[.-%]%1%]',cdump}, - {'^%-%-.-\n',cdump}, - {'^%[(=*)%[.-%]%1%]',sdump_l}, - {'^==',tdump}, - {'^~=',tdump}, - {'^<=',tdump}, - {'^>=',tdump}, - {'^%.%.%.',tdump}, - {'^%.%.',tdump}, - {'^.',tdump} - } - end - return lexer.scan(s,lua_matches,filter,options) -end - ---- create a C/C++ token iterator from a string or file-like object. --- Will return the token type type and value. --- @string s the string --- @tab[opt] filter a table of token types to exclude, by default `{space=true,comments=true}` --- @tab[opt] options a table of options; by default, `{number=true,string=true}`, --- which means convert numbers and strip string quotes. -function lexer.cpp(s,filter,options) - filter = filter or {space=true,comments=true} - if not cpp_keyword then - cpp_keyword = { - ["class"] = true, ["break"] = true, ["do"] = true, ["sizeof"] = true, - ["else"] = true, ["continue"] = true, ["struct"] = true, - ["false"] = true, ["for"] = true, ["public"] = true, ["void"] = true, - ["private"] = true, ["protected"] = true, ["goto"] = true, - ["if"] = true, ["static"] = true, ["const"] = true, ["typedef"] = true, - ["enum"] = true, ["char"] = true, ["int"] = true, ["bool"] = true, - ["long"] = true, ["float"] = true, ["true"] = true, ["delete"] = true, - ["double"] = true, ["while"] = true, ["new"] = true, - ["namespace"] = true, ["try"] = true, ["catch"] = true, - ["switch"] = true, ["case"] = true, ["extern"] = true, - ["return"] = true,["default"] = true,['unsigned'] = true,['signed'] = true, - ["union"] = true, ["volatile"] = true, ["register"] = true,["short"] = true, - } - end - if not cpp_matches then - cpp_matches = { - {WSPACE,wsdump}, - {PREPRO,pdump}, - {NUMBER3,ndump}, - {IDEN,cpp_vdump}, - {NUMBER4,ndump}, - {NUMBER5,ndump}, - {CHAR1,chdump}, - {CHAR2,chdump}, - {CHAR3,chdump}, - {STRING1,sdump}, - {STRING2,sdump}, - {STRING3,sdump}, - {'^//.-\n',cdump}, - {'^/%*.-%*/',cdump}, - {'^==',tdump}, - {'^!=',tdump}, - {'^<=',tdump}, - {'^>=',tdump}, - {'^->',tdump}, - {'^&&',tdump}, - {'^||',tdump}, - {'^%+%+',tdump}, - {'^%-%-',tdump}, - {'^%+=',tdump}, - {'^%-=',tdump}, - {'^%*=',tdump}, - {'^/=',tdump}, - {'^|=',tdump}, - {'^%^=',tdump}, - {'^::',tdump}, - {'^.',tdump} - } - end - return lexer.scan(s,cpp_matches,filter,options) -end - ---- get a list of parameters separated by a delimiter from a stream. --- @param tok the token stream --- @string[opt=')'] endtoken end of list. Can be '\n' --- @string[opt=','] delim separator --- @return a list of token lists. -function lexer.get_separated_list(tok,endtoken,delim) - endtoken = endtoken or ')' - delim = delim or ',' - local parm_values = {} - local level = 1 -- used to count ( and ) - local tl = {} - local function tappend (tl,t,val) - val = val or t - append(tl,{t,val}) - end - local is_end - if endtoken == '\n' then - is_end = function(t,val) - return t == 'space' and val:find '\n' - end - else - is_end = function (t) - return t == endtoken - end - end - local token,value - while true do - token,value=tok() - if not token then return nil,'EOS' end -- end of stream is an error! - if is_end(token,value) and level == 1 then - append(parm_values,tl) - break - elseif token == '(' then - level = level + 1 - tappend(tl,'(') - elseif token == ')' then - level = level - 1 - if level == 0 then -- finished with parm list - append(parm_values,tl) - break - else - tappend(tl,')') - end - elseif token == delim and level == 1 then - append(parm_values,tl) -- a new parm - tl = {} - else - tappend(tl,token,value) - end - end - return parm_values,{token,value} -end - ---- get the next non-space token from the stream. --- @param tok the token stream. -function lexer.skipws (tok) - local t,v = tok() - while t == 'space' do - t,v = tok() - end - return t,v -end - -local skipws = lexer.skipws - ---- get the next token, which must be of the expected type. --- Throws an error if this type does not match! --- @param tok the token stream --- @string expected_type the token type --- @bool no_skip_ws whether we should skip whitespace -function lexer.expecting (tok,expected_type,no_skip_ws) - assert_arg(1,tok,'function') - assert_arg(2,expected_type,'string') - local t,v - if no_skip_ws then - t,v = tok() - else - t,v = skipws(tok) - end - if t ~= expected_type then error ("expecting "..expected_type,2) end - return v -end - -return lexer From c0153ebd02bbef3a3ff18dac31d3741871a5873d Mon Sep 17 00:00:00 2001 From: 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You requested route /test

+ -- ]] + -- else + -- -- Produce a random story: + -- resp = [[ + --

From my server

+ --

It's working!

+ --

Randomly generated number: ${number}

+ --

A variable in the global scope: ${ret}

+ -- ]] % { + -- number = math.random(), + -- ret = ret + -- } + -- end + + res(resp, {['Content-Type']='text/html; charset=UTF-8'}) +end) + +print('server listening to port 8082') + +async.go() \ No newline at end of file diff --git a/eval.lua b/eval.lua index 1ce234c..a489bc6 100755 --- a/eval.lua +++ b/eval.lua @@ -59,16 +59,21 @@ function printProbabilityTable(wordIds, probabilities, num) print(string.rep("-", num * 22)) end + function say(text) local wordIds = {} --print(text) - local values = stringx.split(text, " ") + local values = {} + for w in text:gmatch("[\33-\127\192-\255]+[\128-\191]*") do + table.insert(values, w) + end + -- print(values) for i, word in ipairs(values) do local id = dataset.word2id[word] or dataset.unknownToken - --print(i.." "..word.." "..id) + -- print(i.." "..word.." "..id) table.insert(wordIds, id) diff --git a/readme.md b/readme.md index def3237..17ec765 100755 --- a/readme.md +++ b/readme.md @@ -2,7 +2,7 @@ Forked from https://github.com/chenb67/neuralconvo -@dgkae dgkae.cbf#gmail.com +@dgkae rust.ch3n#gmail.com ##How Use https://github.com/dgkae/dgk_lost_conv as training corpus. The chinese sentenses should be splited by semantic words, using '/'. We modify cornell_movie_dialog.lua to support it. Lua save all string(e.g. chinese) all in multibyte, so in chinese the formal pl.lexer is not working. We use outsider word-splitting tool and using '/' as the tag. @@ -12,6 +12,10 @@ Use https://github.com/dgkae/dgk_lost_conv as training corpus. The chinese sente ![result](a.png) ![result2](b.png) +Update: add a HTTP server as remote API. + +![result3](c.png) + ## License From fb45438205e4fc764b45acb7ee29fc8c04a826c8 Mon Sep 17 00:00:00 2001 From: chenbingfeng Date: Tue, 18 Apr 2017 13:48:23 +0800 Subject: [PATCH 05/12] update intellgence --- .gitignore | 2 + lstm_text_generation.py | 152 ++++++++++++++++++++++++++++++++++++++++ material/stub | 0 readme.md | 7 +- run_server.sh | 1 + 5 files changed, 158 insertions(+), 4 deletions(-) create mode 100755 lstm_text_generation.py create mode 100644 material/stub create mode 100755 run_server.sh diff --git a/.gitignore b/.gitignore index e98ba75..c6ece41 100644 --- a/.gitignore +++ b/.gitignore @@ -42,3 +42,5 @@ luac.out *.i*86 *.x86_64 *.hex + +*.conv \ No newline at end of file diff --git a/lstm_text_generation.py b/lstm_text_generation.py new file mode 100755 index 0000000..dde8abd --- /dev/null +++ b/lstm_text_generation.py @@ -0,0 +1,152 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- + + +'''(C) 2016 rust + +Example script to generate text from Nietzsche's writings. + +At least 20 epochs are required before the generated text +starts sounding coherent. + +It is recommended to run this script on GPU, as recurrent +networks are quite computationally intensive. + +If you try this script on new data, make sure your corpus +has at least ~100k characters. ~1M is better. + + + +''' + +from __future__ import print_function +from keras.models import Sequential +from keras.layers import Dense, Activation, Dropout +from keras.layers import LSTM +from keras.utils.data_utils import get_file +import numpy as np +import random +import sys + + +#pandas 安装出错,所以直接从csv中解析 +text_lines = open('000001.csv').readlines()[1:] +print ('day count = ' + str(len(text_lines))) + +print (text_lines[0]) + +sources_all = [] +targets_all = [] + +for line in reversed(text_lines): + #print(line) + lw = line.split(',') + S = [float(lw[3]), float(lw[5])/10000, float(lw[6])/10000] + if len(sources_all) == 0: + S.append(0.00001) + S.append(0.00001) + S.append(0.00001) + + else: + last = sources_all[-1] + S.append((S[0] - last[0])/last[0]) + S.append((S[1] - last[1])/last[1]) + S.append((S[2] - last[2])/last[2]) + + + sources_all.append(S) + + T = S[3] + targets_all.append(T) + + +print(len(sources_all)) +print(len(targets_all)) + + +sources = sources_all[:5000] +targets = targets_all[:5000] +sources_test = sources_all[5000:] +targets_test = targets_all[5000:] + + +''' +path = get_file('nietzsche.txt', origin="https://s3.amazonaws.com/text-datasets/nietzsche.txt") +text = open(path).read().lower() +print('corpus length:', len(text)) + +chars = sorted(list(set(text))) +print('total chars:', len(chars)) +char_indices = dict((c, i) for i, c in enumerate(chars)) +indices_char = dict((i, c) for i, c in enumerate(chars)) +''' + +# cut the text in semi-redundant sequences of maxlen characters +maxlen = 40 +step = 1 +sentences = [] +next_chars = [] +for i in range(0, len(sources) - maxlen, step): + sentences.append(sources[i: i + maxlen]) + next_chars.append(targets[i + maxlen]) +print('nb sequences:', len(sentences)) + +sentences_test = [] +next_chars_test = [] +for i in range(0, len(sources_test) - maxlen, step): + sentences_test.append(sources_test[i: i + maxlen]) + next_chars_test.append(targets_test[i + maxlen]) +print('nb test sequences:', len(sentences_test)) + +print('Vectorization...') +X = np.zeros((len(sentences), maxlen, 6), dtype=np.float32) +y = np.zeros((len(sentences), 1), dtype=np.float32) +for i, sentence in enumerate(sentences): + for t, char in enumerate(sentence): + for g in xrange(0,6): + X[i, t, g] = char[g] + y[i, 0] = next_chars[i] + + +# build the model: 2 stacked LSTM +print('Build model...') +model = Sequential() +model.add(LSTM(1024, return_sequences=True, input_shape=(maxlen, 6))) +model.add(LSTM(1024, return_sequences=False)) +model.add(Dropout(0.2)) +model.add(Dense(1)) +#model.add(Dense(1)) +#model.add(Activation('softmax')) +model.add(Activation('linear')) + +model.compile(loss='mse', optimizer='rmsprop') + +''' +def sample(a, temperature=1.0): + # helper function to sample an index from a probability array + a = np.log(a) / temperature + a = np.exp(a) / np.sum(np.exp(a)) + return np.argmax(np.random.multinomial(1, a, 1)) +''' + +# train the model, output generated text after each iteration +for iteration in range(1, 60): + print() + print('-' * 50) + print('Iteration', iteration) + model.fit(X, y, batch_size=128, nb_epoch=1) + + + predret = [] + for sent,targ in zip(sentences_test[:20], targets_test[:20]): + x = np.zeros((1, maxlen, 6)) + for t, char in enumerate(sent): + for g in xrange(0,6): + x[0, t, g] = char[g] + + preds = model.predict(x, verbose=0)[0] + print(preds[0], targ) + + + +print("cbf done!") diff --git a/material/stub b/material/stub new file mode 100644 index 0000000..e69de29 diff --git a/readme.md b/readme.md index 17ec765..8462c6a 100755 --- a/readme.md +++ b/readme.md @@ -2,7 +2,9 @@ Forked from https://github.com/chenb67/neuralconvo -@dgkae rust.ch3n#gmail.com +如果训练中遇到问题请先翻原始fork的issue,这里只是改成中文而已! + +QQ315027768,交流合作进步。 ##How Use https://github.com/dgkae/dgk_lost_conv as training corpus. The chinese sentenses should be splited by semantic words, using '/'. We modify cornell_movie_dialog.lua to support it. Lua save all string(e.g. chinese) all in multibyte, so in chinese the formal pl.lexer is not working. We use outsider word-splitting tool and using '/' as the tag. @@ -12,9 +14,6 @@ Use https://github.com/dgkae/dgk_lost_conv as training corpus. 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[网易云课堂视频课程1-聊天机器人](https://study.163.com/course/introduction/1005049028.htm?utm_source=400000000173015&utm_medium=share&utm_campaign=commission&hideAppEntrance=1) [网易云课堂视频课程2-知识图谱](https://study.163.com/course/introduction/1004964005.htm?utm_source=400000000173015&utm_medium=share&utm_campaign=commission&hideAppEntrance=1) From 26e7bae9ec4ea8a43b10c73316af7150a5257344 Mon Sep 17 00:00:00 2001 From: fateleak Date: Wed, 20 Jun 2018 09:50:09 +0800 Subject: [PATCH 09/12] op --- readme.md | 31 ++++++++++++++----------------- 1 file changed, 14 insertions(+), 17 deletions(-) diff --git a/readme.md b/readme.md index 228c7cc..c34f1d9 100755 --- a/readme.md +++ b/readme.md @@ -4,35 +4,32 @@ Forked from https://github.com/chenb67/neuralconvo 如果训练中遇到问题请先翻原始fork的issue,这里只是改成中文而已! -本repo不会更新,交流请加QQ群: -1号群(满) -![](data/qqun.png) - -2号群: - -![](data/qq2.jpeg) +## How +Use https://github.com/dgkae/dgk_lost_conv as training corpus. The chinese sentenses should be splited by semantic words, using '/'. We modify cornell_movie_dialog.lua to support it. Lua save all string(e.g. chinese) all in multibyte, so in chinese the formal pl.lexer is not working. We use outsider word-splitting tool and using '/' as the tag. -微信拉群: +## Result -![](data/fate2.jpeg) +![result](a.png) +![result2](b.png) -[网易云课堂视频课程1-聊天机器人](https://study.163.com/course/introduction/1005049028.htm?utm_source=400000000173015&utm_medium=share&utm_campaign=commission&hideAppEntrance=1) [网易云课堂视频课程2-知识图谱](https://study.163.com/course/introduction/1004964005.htm?utm_source=400000000173015&utm_medium=share&utm_campaign=commission&hideAppEntrance=1) -##How -Use https://github.com/dgkae/dgk_lost_conv as training corpus. The chinese sentenses should be splited by semantic words, using '/'. We modify cornell_movie_dialog.lua to support it. Lua save all string(e.g. chinese) all in multibyte, so in chinese the formal pl.lexer is not working. We use outsider word-splitting tool and using '/' as the tag. +## Rwt +本repo已不在维护,有几个聊天群: -##Result +1: -![result](a.png) -![result2](b.png) +![](data/qqun.png) +2: +![](data/qq2.jpeg) -## License +wx: -MIT +![](data/fate2.jpeg) +谢谢OBRO支持! \ No newline at end of file From 89161200c462bf1bdd7c319e0454c5de02e38635 Mon Sep 17 00:00:00 2001 From: fateleak Date: Thu, 7 Mar 2019 13:32:17 +0800 Subject: [PATCH 10/12] remove wx --- readme.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/readme.md b/readme.md index c34f1d9..ca77d00 100755 --- a/readme.md +++ b/readme.md @@ -28,8 +28,6 @@ Use https://github.com/dgkae/dgk_lost_conv as training corpus. The chinese sente ![](data/qq2.jpeg) -wx: -![](data/fate2.jpeg) 谢谢OBRO支持! \ No newline at end of file From 82d240df72b97776b84981cf1b1a2df2d72727b4 Mon Sep 17 00:00:00 2001 From: Fate Date: Fri, 31 May 2019 16:42:10 +0800 Subject: [PATCH 11/12] Update readme.md --- readme.md | 3 --- 1 file changed, 3 deletions(-) diff --git a/readme.md b/readme.md index ca77d00..4b3bf59 100755 --- a/readme.md +++ b/readme.md @@ -28,6 +28,3 @@ Use https://github.com/dgkae/dgk_lost_conv as training corpus. The chinese sente ![](data/qq2.jpeg) - - -谢谢OBRO支持! \ No newline at end of file From 0c0751aed0c163c1a2f4b3226780d8b6b5684712 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=AD=94=E6=B3=95=E7=BA=A2=E8=A2=8D=E6=9C=AF=E5=A3=AB?= Date: Thu, 6 May 2021 20:45:25 +0800 Subject: [PATCH 12/12] Update readme.md --- readme.md | 9 --------- 1 file changed, 9 deletions(-) diff --git a/readme.md b/readme.md index 4b3bf59..e89c7be 100755 --- a/readme.md +++ b/readme.md @@ -19,12 +19,3 @@ Use https://github.com/dgkae/dgk_lost_conv as training corpus. The chinese sente ## Rwt 本repo已不在维护,有几个聊天群: - -1: - -![](data/qqun.png) - -2: - -![](data/qq2.jpeg) -

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is a wrong place, please goto here!' + + end + + -- if req.url.path == '/test' then + -- resp = [[ + --