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| author | Martin Simonovsky <simonovm@imagine.enpc.fr> | 2015-03-26 18:58:10 +0300 |
|---|---|---|
| committer | Martin Simonovsky <simonovm@imagine.enpc.fr> | 2015-03-26 18:58:10 +0300 |
| commit | 75964ae9e2c4c6430f3fad7977c182074edb07d1 (patch) | |
| tree | f3eb91fcd3877b1bc0709a3349310b9e729cf624 /SpatialConvolutionMM.lua | |
| parent | b527326b92a322a2ccfcfe7f441cc618be0d5532 (diff) | |
Resets cache variables when converting between cpu and gpu implementations as these variables are used for different purposes.
Diffstat (limited to 'SpatialConvolutionMM.lua')
| -rw-r--r-- | SpatialConvolutionMM.lua | 6 |
1 files changed, 6 insertions, 0 deletions
diff --git a/SpatialConvolutionMM.lua b/SpatialConvolutionMM.lua index 6114567..f27c6fa 100644 --- a/SpatialConvolutionMM.lua +++ b/SpatialConvolutionMM.lua @@ -77,3 +77,9 @@ function SpatialConvolutionMM:accGradParameters(input, gradOutput, scale) input, gradOutput = makeContiguous(self, input, gradOutput) return input.nn.SpatialConvolutionMM_accGradParameters(self, input, gradOutput, scale) end + +function SpatialConvolutionMM:type(type) + self.finput = torch.Tensor() + self.fgradInput = torch.Tensor() + return parent.type(self,type) +end |