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Download util/lua/nn/Sampler.lua from rawanessam/FloorPlanTransformation: direct link, hf CLI and curl.
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- Download file 972 Bytes
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https://huggingface.co/spaces/rawanessam/FloorPlanTransformation/resolve/main/util/lua/nn/Sampler.lua
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hf download hf://spaces/rawanessam/FloorPlanTransformation/util/lua/nn/Sampler.lua
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curl -L -o Sampler.lua https://huggingface.co/spaces/rawanessam/FloorPlanTransformation/resolve/main/util/lua/nn/Sampler.lua
972 Bytes
| -- Based on JoinTable module | |
| require 'nn' | |
| local Sampler, parent = torch.class('nn.Sampler', 'nn.Module') | |
| function Sampler:__init() | |
| parent.__init(self) | |
| self.gradInput = {} | |
| end | |
| function Sampler:updateOutput(input) | |
| self.eps = self.eps or input[1].new() | |
| self.eps:resizeAs(input[1]):copy(torch.randn(input[1]:size())) | |
| self.ouput = self.output or self.output.new() | |
| self.output:resizeAs(input[2]):copy(input[2]) | |
| self.output:mul(0.5):exp():cmul(self.eps) | |
| self.output:add(input[1]) | |
| return self.output | |
| end | |
| function Sampler:updateGradInput(input, gradOutput) | |
| self.gradInput[1] = self.gradInput[1] or input[1].new() | |
| self.gradInput[1]:resizeAs(gradOutput):copy(gradOutput) | |
| self.gradInput[2] = self.gradInput[2] or input[2].new() | |
| self.gradInput[2]:resizeAs(gradOutput):copy(input[2]) | |
| self.gradInput[2]:mul(0.5):exp():mul(0.5):cmul(self.eps) | |
| self.gradInput[2]:cmul(gradOutput) | |
| return self.gradInput | |
| end | |