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--[[ Logger: a simple class to log symbols during training,
and automate plot generation
Example:
logger = optim.Logger('somefile.log') -- file to save stuff
for i = 1,N do -- log some symbols during
train_error = ... -- training/testing
test_error = ...
logger:add{['training error'] = train_error,
['test error'] = test_error}
end
logger:style{['training error'] = '-', -- define styles for plots
['test error'] = '-'}
logger:plot() -- and plot
---- OR ---
logger = optim.Logger('somefile.log') -- file to save stuff
logger:setNames{'training error', 'test error'}
for i = 1,N do -- log some symbols during
train_error = ... -- training/testing
test_error = ...
logger:add{train_error, test_error}
end
logger:style{'-', '-'} -- define styles for plots
logger:plot() -- and plot
-----------
logger:setlogscale(true) -- enable logscale on Y-axis
logger:plot() -- and plot
]]
require 'xlua'
local Logger = torch.class('optim.Logger')
function Logger:__init(filename, timestamp)
if filename then
self.name = filename
os.execute('mkdir ' .. (sys.uname() ~= 'windows' and '-p ' or '') .. ' "' .. paths.dirname(filename) .. '"')
if timestamp then
-- append timestamp to create unique log file
filename = filename .. '-'..os.date("%Y_%m_%d_%X")
end
self.file = io.open(filename,'w')
self.epsfile = self.name .. '.eps'
else
self.file = io.stdout
self.name = 'stdout'
print('<Logger> warning: no path provided, logging to std out')
end
self.empty = true
self.symbols = {}
self.styles = {}
self.names = {}
self.idx = {}
self.figure = nil
self.showPlot = true
self.plotRawCmd = nil
self.defaultStyle = '+'
self.logscale = false
end
function Logger:setNames(names)
self.names = names
self.empty = false
self.nsymbols = #names
for k,key in pairs(names) do
self.file:write(key .. '\t')
self.symbols[k] = {}
self.styles[k] = {self.defaultStyle}
self.idx[key] = k
end
self.file:write('\n')
self.file:flush()
return self
end
function Logger:add(symbols)
-- (1) first time ? print symbols' names on first row
if self.empty then
self.empty = false
self.nsymbols = #symbols
for k,val in pairs(symbols) do
self.file:write(k .. '\t')
self.symbols[k] = {}
self.styles[k] = {self.defaultStyle}
self.names[k] = k
end
self.idx = self.names
self.file:write('\n')
end
-- (2) print all symbols on one row
for k,val in pairs(symbols) do
if type(val) == 'number' then
self.file:write(string.format('%11.4e',val) .. '\t')
elseif type(val) == 'string' then
self.file:write(val .. '\t')
else
xlua.error('can only log numbers and strings', 'Logger')
end
end
self.file:write('\n')
self.file:flush()
-- (3) save symbols in internal table
for k,val in pairs(symbols) do
table.insert(self.symbols[k], val)
end
end
function Logger:style(symbols)
for name,style in pairs(symbols) do
if type(style) == 'string' then
self.styles[name] = {style}
elseif type(style) == 'table' then
self.styles[name] = style
else
xlua.error('style should be a string or a table of strings','Logger')
end
end
return self
end
function Logger:setlogscale(state)
self.logscale = state
end
function Logger:display(state)
self.showPlot = state
end
function Logger:plot(...)
if not xlua.require('gnuplot') then
if not self.warned then
print('<Logger> warning: cannot plot with this version of Torch')
self.warned = true
end
return
end
local plotit = false
local plots = {}
local plotsymbol =
function(name,list)
if #list > 1 then
local nelts = #list
local plot_y = torch.Tensor(nelts)
for i = 1,nelts do
plot_y[i] = list[i]
end
for _,style in ipairs(self.styles[name]) do
table.insert(plots, {self.names[name], plot_y, style})
end
plotit = true
end
end
local args = {...}
if not args[1] then -- plot all symbols
for name,list in pairs(self.symbols) do
plotsymbol(name,list)
end
else -- plot given symbols
for _,name in ipairs(args) do
plotsymbol(self.idx[name], self.symbols[self.idx[name]])
end
end
if plotit then
if self.showPlot then
self.figure = gnuplot.figure(self.figure)
if self.logscale then gnuplot.logscale('on') end
gnuplot.plot(plots)
if self.plotRawCmd then gnuplot.raw(self.plotRawCmd) end
gnuplot.grid('on')
gnuplot.title('<Logger::' .. self.name .. '>')
end
if self.epsfile then
os.execute('rm -f "' .. self.epsfile .. '"')
local epsfig = gnuplot.epsfigure(self.epsfile)
if self.logscale then gnuplot.logscale('on') end
gnuplot.plot(plots)
if self.plotRawCmd then gnuplot.raw(self.plotRawCmd) end
gnuplot.grid('on')
gnuplot.title('<Logger::' .. self.name .. '>')
gnuplot.plotflush()
gnuplot.close(epsfig)
end
end
end
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