diff options
Diffstat (limited to 'contrib/lua-torch/nn/SpatialZeroPadding.lua')
| -rw-r--r-- | contrib/lua-torch/nn/SpatialZeroPadding.lua | 104 |
1 files changed, 104 insertions, 0 deletions
diff --git a/contrib/lua-torch/nn/SpatialZeroPadding.lua b/contrib/lua-torch/nn/SpatialZeroPadding.lua new file mode 100644 index 000000000..f19925841 --- /dev/null +++ b/contrib/lua-torch/nn/SpatialZeroPadding.lua @@ -0,0 +1,104 @@ +local SpatialZeroPadding, parent = torch.class('nn.SpatialZeroPadding', 'nn.Module') + +function SpatialZeroPadding:__init(pad_l, pad_r, pad_t, pad_b) + parent.__init(self) + self.pad_l = pad_l + self.pad_r = pad_r or self.pad_l + self.pad_t = pad_t or self.pad_l + self.pad_b = pad_b or self.pad_l +end + +function SpatialZeroPadding:updateOutput(input) + if input:dim() == 3 then + -- sizes + local h = input:size(2) + self.pad_t + self.pad_b + local w = input:size(3) + self.pad_l + self.pad_r + if w < 1 or h < 1 then error('input is too small') end + self.output:resize(input:size(1), h, w) + self.output:zero() + -- crop input if necessary + local c_input = input + if self.pad_t < 0 then c_input = c_input:narrow(2, 1 - self.pad_t, c_input:size(2) + self.pad_t) end + if self.pad_b < 0 then c_input = c_input:narrow(2, 1, c_input:size(2) + self.pad_b) end + if self.pad_l < 0 then c_input = c_input:narrow(3, 1 - self.pad_l, c_input:size(3) + self.pad_l) end + if self.pad_r < 0 then c_input = c_input:narrow(3, 1, c_input:size(3) + self.pad_r) end + -- crop outout if necessary + local c_output = self.output + if self.pad_t > 0 then c_output = c_output:narrow(2, 1 + self.pad_t, c_output:size(2) - self.pad_t) end + if self.pad_b > 0 then c_output = c_output:narrow(2, 1, c_output:size(2) - self.pad_b) end + if self.pad_l > 0 then c_output = c_output:narrow(3, 1 + self.pad_l, c_output:size(3) - self.pad_l) end + if self.pad_r > 0 then c_output = c_output:narrow(3, 1, c_output:size(3) - self.pad_r) end + -- copy input to output + c_output:copy(c_input) + elseif input:dim() == 4 then + -- sizes + local h = input:size(3) + self.pad_t + self.pad_b + local w = input:size(4) + self.pad_l + self.pad_r + if w < 1 or h < 1 then error('input is too small') end + self.output:resize(input:size(1), input:size(2), h, w) + self.output:zero() + -- crop input if necessary + local c_input = input + if self.pad_t < 0 then c_input = c_input:narrow(3, 1 - self.pad_t, c_input:size(3) + self.pad_t) end + if self.pad_b < 0 then c_input = c_input:narrow(3, 1, c_input:size(3) + self.pad_b) end + if self.pad_l < 0 then c_input = c_input:narrow(4, 1 - self.pad_l, c_input:size(4) + self.pad_l) end + if self.pad_r < 0 then c_input = c_input:narrow(4, 1, c_input:size(4) + self.pad_r) end + -- crop outout if necessary + local c_output = self.output + if self.pad_t > 0 then c_output = c_output:narrow(3, 1 + self.pad_t, c_output:size(3) - self.pad_t) end + if self.pad_b > 0 then c_output = c_output:narrow(3, 1, c_output:size(3) - self.pad_b) end + if self.pad_l > 0 then c_output = c_output:narrow(4, 1 + self.pad_l, c_output:size(4) - self.pad_l) end + if self.pad_r > 0 then c_output = c_output:narrow(4, 1, c_output:size(4) - self.pad_r) end + -- copy input to output + c_output:copy(c_input) + else + error('input must be 3 or 4-dimensional') + end + return self.output +end + +function SpatialZeroPadding:updateGradInput(input, gradOutput) + if input:dim() == 3 then + self.gradInput:resizeAs(input):zero() + -- crop gradInput if necessary + local cg_input = self.gradInput + if self.pad_t < 0 then cg_input = cg_input:narrow(2, 1 - self.pad_t, cg_input:size(2) + self.pad_t) end + if self.pad_b < 0 then cg_input = cg_input:narrow(2, 1, cg_input:size(2) + self.pad_b) end + if self.pad_l < 0 then cg_input = cg_input:narrow(3, 1 - self.pad_l, cg_input:size(3) + self.pad_l) end + if self.pad_r < 0 then cg_input = cg_input:narrow(3, 1, cg_input:size(3) + self.pad_r) end + -- crop gradOutout if necessary + local cg_output = gradOutput + if self.pad_t > 0 then cg_output = cg_output:narrow(2, 1 + self.pad_t, cg_output:size(2) - self.pad_t) end + if self.pad_b > 0 then cg_output = cg_output:narrow(2, 1, cg_output:size(2) - self.pad_b) end + if self.pad_l > 0 then cg_output = cg_output:narrow(3, 1 + self.pad_l, cg_output:size(3) - self.pad_l) end + if self.pad_r > 0 then cg_output = cg_output:narrow(3, 1, cg_output:size(3) - self.pad_r) end + -- copy gradOuput to gradInput + cg_input:copy(cg_output) + elseif input:dim() == 4 then + self.gradInput:resizeAs(input):zero() + -- crop gradInput if necessary + local cg_input = self.gradInput + if self.pad_t < 0 then cg_input = cg_input:narrow(3, 1 - self.pad_t, cg_input:size(3) + self.pad_t) end + if self.pad_b < 0 then cg_input = cg_input:narrow(3, 1, cg_input:size(3) + self.pad_b) end + if self.pad_l < 0 then cg_input = cg_input:narrow(4, 1 - self.pad_l, cg_input:size(4) + self.pad_l) end + if self.pad_r < 0 then cg_input = cg_input:narrow(4, 1, cg_input:size(4) + self.pad_r) end + -- crop gradOutout if necessary + local cg_output = gradOutput + if self.pad_t > 0 then cg_output = cg_output:narrow(3, 1 + self.pad_t, cg_output:size(3) - self.pad_t) end + if self.pad_b > 0 then cg_output = cg_output:narrow(3, 1, cg_output:size(3) - self.pad_b) end + if self.pad_l > 0 then cg_output = cg_output:narrow(4, 1 + self.pad_l, cg_output:size(4) - self.pad_l) end + if self.pad_r > 0 then cg_output = cg_output:narrow(4, 1, cg_output:size(4) - self.pad_r) end + -- copy gradOuput to gradInput + cg_input:copy(cg_output) + else + error('input must be 3 or 4-dimensional') + end + return self.gradInput +end + + +function SpatialZeroPadding:__tostring__() + return torch.type(self) .. + string.format('(l=%d, r=%d, t=%d, b=%d)', self.pad_l, self.pad_r, + self.pad_t, self.pad_b) +end |