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local Logger = torch.class('nn.Logger')
function Logger:__init(filename)
if filename then
os.execute('mkdir -p ' .. sys.dirname(filename))
filename = sys.concat(filename .. '-'..os.date("%Y_%m_%d_%X"))
self.file = io.open(filename,'w')
else
self.file = io.stdout
print('<Logger> warning: no path provided, logging to std out')
end
self.empty = true
self.symbols = {}
self.figures = {}
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] = {}
end
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:plot(...)
if not lab.plot then
if not self.warned then
print('<Logger> warning: cannot plot with this version of Torch')
end
return
end
local plotsymbol =
function(name,list)
if #list > 1 then
local nelts = #list
local plot_x = lab.range(1,nelts)
local plot_y = torch.Tensor(nelts)
for i = 1,nelts do
plot_y[i] = list[i]
end
self.figures[name] = lab.figure(self.figures[name])
lab.plot(name, plot_x, plot_y, '-')
lab.title(name)
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 i,name in ipairs(args) do
plotsymbol(name,self.symbols[name])
end
end
end
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