Comments (2)
for k,v in ipairs(net:listModules()) do
v.gradWeight = nil
v.gradBias = nil
end
local ts = {
model = net:float(),
unpack = function(self)
for k,v in ipairs(self.model:listModules()) do
if v.weight and not v.gradWeight then
v.gradWeight = v.weight:clone()
v.gradBias = v.bias:clone()
end
end
return self.model
end
}
torch.save('model.t7', ts)
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Thank you
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Related Issues (2)
- Some examples HOT 1
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