91 lines
2.4 KiB
Lua
91 lines
2.4 KiB
Lua
local function load_nn()
|
|
require 'torch'
|
|
require 'nn'
|
|
end
|
|
local function load_cunn()
|
|
require 'cutorch'
|
|
require 'cunn'
|
|
end
|
|
local function load_cudnn()
|
|
cudnn = require('cudnn')
|
|
end
|
|
local function make_data_parallel_table(model, gpus)
|
|
if cudnn then
|
|
local fastest, benchmark = cudnn.fastest, cudnn.benchmark
|
|
local dpt = nn.DataParallelTable(1, true, true)
|
|
:add(model, gpus)
|
|
:threads(function()
|
|
require 'pl'
|
|
local __FILE__ = (function() return string.gsub(debug.getinfo(2, 'S').source, "^@", "") end)()
|
|
package.path = path.join(path.dirname(__FILE__), "..", "lib", "?.lua;") .. package.path
|
|
require 'torch'
|
|
require 'cunn'
|
|
require 'w2nn'
|
|
local cudnn = require 'cudnn'
|
|
cudnn.fastest, cudnn.benchmark = fastest, benchmark
|
|
end)
|
|
dpt.gradInput = nil
|
|
model = dpt:cuda()
|
|
else
|
|
local dpt = nn.DataParallelTable(1, true, true)
|
|
:add(model, gpus)
|
|
:threads(function()
|
|
require 'pl'
|
|
local __FILE__ = (function() return string.gsub(debug.getinfo(2, 'S').source, "^@", "") end)()
|
|
package.path = path.join(path.dirname(__FILE__), "..", "lib", "?.lua;") .. package.path
|
|
require 'torch'
|
|
require 'cunn'
|
|
require 'w2nn'
|
|
end)
|
|
dpt.gradInput = nil
|
|
model = dpt:cuda()
|
|
end
|
|
return model
|
|
end
|
|
|
|
if w2nn then
|
|
return w2nn
|
|
else
|
|
w2nn = {}
|
|
local state, ret = pcall(load_cunn)
|
|
if not state then
|
|
error("Failed to load CUDA modules. Please check the CUDA Settings.\n---\n" .. ret)
|
|
end
|
|
pcall(load_cudnn)
|
|
|
|
function w2nn.load_model(model_path, force_cudnn, mode)
|
|
mode = mode or "ascii"
|
|
local model = torch.load(model_path, mode)
|
|
if force_cudnn then
|
|
model = cudnn.convert(model, cudnn)
|
|
end
|
|
model:cuda():evaluate()
|
|
return model
|
|
end
|
|
function w2nn.data_parallel(model, gpus)
|
|
if #gpus > 1 then
|
|
return make_data_parallel_table(model, gpus)
|
|
else
|
|
return model
|
|
end
|
|
end
|
|
require 'LeakyReLU'
|
|
require 'ClippedWeightedHuberCriterion'
|
|
require 'ClippedMSECriterion'
|
|
require 'SSIMCriterion'
|
|
require 'InplaceClip01'
|
|
require 'L1Criterion'
|
|
require 'ShakeShakeTable'
|
|
require 'PrintTable'
|
|
require 'Print'
|
|
require 'AuxiliaryLossTable'
|
|
require 'AuxiliaryLossCriterion'
|
|
require 'GradWeight'
|
|
require 'RandomBinaryConvolution'
|
|
require 'LBPCriterion'
|
|
require 'EdgeFilter'
|
|
require 'ScaleTable'
|
|
return w2nn
|
|
end
|
|
|