-
Notifications
You must be signed in to change notification settings - Fork 2
/
Copy pathmainviz.lua
37 lines (31 loc) · 1.25 KB
/
mainviz.lua
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
--
-- Created by IntelliJ IDEA.
-- User: louissmit
-- Date: 13/02/15
-- Time: 11:12
-- To change this template use File | Settings | File Templates.
--
local viz = require('visualize')
local model_dir = 'gravesbaseline6'
local dir = paths.concat(model_dir, 'parameters')
local means = torch.load(paths.concat(dir, 'means'))
local vars = torch.load(paths.concat(dir, 'vars'))
local opt = torch.load(paths.concat(model_dir, 'opt'))
--local vars = torch.exp(lvars)
--viz.show_input_parameters(means, means:size(), 'means', opt)
--viz.show_input_parameters(vars, vars:size(), 'vars', opt)
local pruned = torch.abs(torch.cdiv(means, torch.sqrt(vars)))
pruned = torch.lt(pruned, 0.005):float()
print(pruned:sum())
print(vars:size(1))
local prunedvars = torch.cmul(pruned, vars)
print(vars:mean())
print(prunedvars:mean())
--viz.show_input_parameters(pruned, pruned:size(), 'pruned', opt)
-- viz.show_uncertainties(model, parameters, testData, beta.means, beta.vars, opt.hidden)
-- local init = viz.show_images(trainData, {1,2,3,13,15,16,17,18,19,20})
-- viz.show_input_parameters(parameters, parameters:size(), opt)
-- model:forward(trainData.inputs[5])
-- print(model:get(2).output)
-- viz.show_tensors(model:get(2).output, opt.hidden[1], 'activations')
-- break