require 'torch' -- torch
require 'optim'
require 'nn' -- provides a normalization operator
function string:split(sep)
local sep, fields = sep, {}
local pattern = string.format("([^%s]+)", sep)
self:gsub(pattern, function(substr) fields[#fields + 1] = substr end)
return fields
end
local f_file = io.open(arg[1], 'r')
local p_file = io.open(arg[2], 'w')
local data = torch.Tensor(1, 351)
local name = ''
for line in f_file:lines('*l') do
local l = line:split(',')
first = true
for key, val in ipairs(l) do
if first == false then
data[1][key] = val
else data[1][key] = 0
first = false
name = val
end
end
end
local X = data[{{},{2,-1}}]
model = torch.load('estimation_model.dat')
myPrediction = model:forward(X)
p_file:write('NAME,F1,F2,F3,F4\n')
p_file:write(name..','..tostring(1000*myPrediction[1][1])..','..tostring(1000*myPrediction[1][2])..','..tostring(1000*myPrediction[1][3])..','..tostring(1000*myPrediction[1][4])..'\n')
```my model is not being loaded,I think its being in .dat format might be the problem .
Here is the erro
th> model=torch.load(tracking_model.dat)
[string "model=torch.load(tracking_model.dat)"]:1: attempt to index global 'tracking_model' (a nil value)
stack traceback:
/home/sunny/torch/install/share/lua/5.2/trepl/init.lua:506: in function '__index'
[string "model=torch.load(tracking_model.dat)"]:1: in main chunk
[C]: in function 'xpcall'
/home/sunny/torch/install/share/lua/5.2/trepl/init.lua:679: in function 'repl'
...unny/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:204: in main chunk
[C]: in ?It looks like you are using LuaTorch, which is not in active developement anymore.
Are you using an older code base and would it be possible to port it to PyTorch?