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-rw-r--r--Narrow.lua70
1 files changed, 0 insertions, 70 deletions
diff --git a/Narrow.lua b/Narrow.lua
deleted file mode 100644
index 5c6d07e..0000000
--- a/Narrow.lua
+++ /dev/null
@@ -1,70 +0,0 @@
-local Narrow, parent = torch.class('nn.Narrow', 'nn.Module')
-
-local help_desc =
-[[Selects a subset of a dimension of a nxpxqx.. Tensor.]]
-
-local help_example =
-[[mlp=nn.Sequential();
-mlp:add(nn.Narrow(1,3,2))
-
-require "lab"
-x=lab.randn(10,5)
-print(x)
-print(mlp:forward(x))
-
--- gives the output:
- 0.9720 -0.0836 0.0831 -0.2059 -0.0871
- 0.8750 -2.0432 -0.1295 -2.3932 0.8168
- 0.0369 1.1633 0.6483 1.2862 0.6596
- 0.1667 -0.5704 -0.7303 0.3697 -2.2941
- 0.4794 2.0636 0.3502 0.3560 -0.5500
--0.1898 -1.1547 0.1145 -1.1399 0.1711
--1.5130 1.4445 0.2356 -0.5393 -0.6222
--0.6587 0.4314 1.1916 -1.4509 1.9400
- 0.2733 1.0911 0.7667 0.4002 0.1646
- 0.5804 -0.5333 1.1621 1.5683 -0.1978
-[torch.Tensor of dimension 10x5]
-
- 0.0369 1.1633 0.6483 1.2862 0.6596
- 0.1667 -0.5704 -0.7303 0.3697 -2.2941
-[torch.Tensor of dimension 2x5] ]]
-
-function Narrow:__init(dimension,offset,length)
- parent.__init(self)
- self.dimension=dimension
- self.index=offset
- self.length=length or 1
- if not dimension or not offset then
- error(xlua.usage('nn.Narrow', help_desc, help_example,
- {type='number', help='dimension', req=true},
- {type='number', help='offset', req=true},
- {type='number', help='length', default=1}))
- end
-end
-
-function Narrow:forward(input)
- local output=input:narrow(self.dimension,self.index,self.length);
- self.output:resizeAs(output)
- return self.output:copy(output)
-end
-
-function Narrow:backward(input, gradOutput)
- self.gradInput:resizeAs(input)
- self.gradInput:zero();
- self.gradInput:narrow(self.dimension,self.index,self.length):copy(gradOutput)
- return self.gradInput
-end
-
-function Narrow:write(file)
- parent.write(self, file)
- file:writeInt(self.dimension)
- file:writeLong(self.index)
- file:writeLong(self.length)
-end
-
-function Narrow:read(file, version)
- parent.read(self, file)
- self.dimension = file:readInt()
- self.index = file:readLong()
- self.length = file:readLong()
-end