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2016-09-27making ClassNLLCriterion targets consistent between cpu and cudaclassnllfixsoumith
2016-09-24Merge pull request #976 from Atcold/masterSoumith Chintala
Remove extra | and bug fix ConcatTable
2016-09-22Remove extra | and bug fix ConcatTableAlfredo Canziani
2016-09-20Merge pull request #973 from jgehring/clone-shareSoumith Chintala
Don't serialize shared parameters in clone()
2016-09-20Don't serialize shared parameters in clone()Jonas Gehring
There's no need to serialize parameters that will be shared immediately afterwards. In particular, the current implementation of clone and share is inefficient for single modules in a larger network with flattened parameters since the storage holding all parameters will be serialized. Here, the write method of nn.Module is temporarily overwritten with a function that writes empty tensors for all shared parameters.
2016-09-20Merge pull request #971 from hughperkins/migrate-optim-to-optimSoumith Chintala
Migrate optim to optim
2016-09-20migrate optim example to optim repoHugh Perkins
2016-09-20add StochasticGradient doc backHugh Perkins
2016-09-14Merge pull request #967 from apaszke/THNN_format_fixSoumith Chintala
Mark BCECriterion weights as optional in THNN.h
2016-09-14Mark BCECriterion weights as optional in THNN.hAdam Paszke
2016-09-14adding storageOffset in VolumetricConvolutionMMSoumith Chintala
2016-09-14Merge pull request #965 from apaszke/mm_weightSoumith Chintala
Accept 5D weights in VolumetricConvolutionMM
2016-09-14Accept 5D weights in VolumetricConvolutionMMAdam Paszke
2016-09-13Merge pull request #964 from wydwww/masterSoumith Chintala
Just typos
2016-09-13Just typosYiding Wang
2016-09-08Merge pull request #626 from szagoruyko/bcethnnSoumith Chintala
BCECriterion THNN implementation
2016-09-02fix bilinear docSoumith Chintala
2016-09-02Stochastic Inference for Dropout (#936)Jason Kuen
* Stochastic Inference for Dropout
2016-09-02Merge pull request #948 from culurciello/patch-1Soumith Chintala
Typo in doc links
2016-09-02Typo in doc linksEugenio Culurciello
2016-08-31Merge pull request #946 from gchanan/HardTanhBoundarySoumith Chintala
HardTanh does not use inclusive bounds in inplace mode
2016-08-31HardTanh does not use inclusive bounds in inplace modeGregory Chanan
HardTanh does not use inclusive bounds in inplace mode, which makes it inconsistent with the cuda version, as well as Threshold, ReLU, etc.
2016-08-27Merge pull request #943 from kmul00/voldilmaxpoolSoumith Chintala
Add Volumetric Dilated Max Pooling
2016-08-28Add Volumetric Dilated Max Poolingkmul00
new file: VolumetricDilatedMaxPooling.lua modified: init.lua modified: lib/THNN/generic/THNN.h copied: lib/THNN/generic/VolumetricMaxPooling.c -> lib/THNN/generic/VolumetricDilatedMaxPooling.c modified: lib/THNN/generic/VolumetricMaxPooling.c modified: lib/THNN/init.c modified: test.lua Update docs modified: doc/convolution.md Resolved bug in ceil mode modified: lib/THNN/generic/VolumetricDilatedMaxPooling.c
2016-08-27Merge pull request #941 from kmul00/consistentmaxpoolapiSoumith Chintala
Make SpatialMaxPooling API consistent
2016-08-25Make SpatialMaxPooling API consistentkmul00
modified: SpatialDilatedMaxPooling.lua modified: SpatialMaxPooling.lua renamed: lib/THNN/generic/SpatialMaxPooling.c -> lib/THNN/generic/SpatialDilatedMaxPooling.c modified: lib/THNN/generic/SpatialMaxPooling.c modified: lib/THNN/generic/THNN.h modified: lib/THNN/init.c
2016-08-25add CMaxTable class (#885)Jonathan Uesato
* Add CMaxTable and CMinTable
2016-08-25Adding TemporalDynamicKMaxPooling (#867)Multihuntr
* Adding TemporalDynamicKMaxPooling
2016-08-25Merge pull request #940 from torch/jtfixSoumith Chintala
fixing JoinTable bug for negative indices
2016-08-25fixing JoinTable bug for negative indicessoumith
2016-08-25Expand CMul weights (#911)nhynes
* Expand CMul weights
2016-08-22Merge pull request #937 from jgehring/maptableSoumith Chintala
A container for applying a single module to all table elements
2016-08-22fixing critical bug in SpatialConvolutionsoumith
2016-08-22A container for applying a single module to all table elementsJonas Gehring
This module can be useful when dealing with multi-dimensional mini-batches, for example when training recurrent neural networks (time X batch_size X elements). It simply clones the contained module as necessary and applies each clone to the respective input element.
2016-08-20Merge pull request #935 from apaszke/thresholdSoumith Chintala
Make Threshold THNN functions more consistent
2016-08-19Make Threshold THNN functions more consistentAdam Paszke
2016-08-18Merge pull request #934 from apaszke/spatial_convSoumith Chintala
Accept both 2D and 4D weights in SpatialConvolutionMM
2016-08-18Accept both 2D and 4D weights in SpatialConvolutionMMAdam Paszke
2016-08-17Merge pull request #933 from torch/maxminfixSoumith Chintala
fixing Max and Min for new cutorch types
2016-08-17Merge pull request #932 from jgehring/concat-sizeSoumith Chintala
Don't overwrite self.size in Concat
2016-08-17fixing nn.Normalize for new cutorch typessoumith
2016-08-17fixing Max and Min for new cutorch typessoumith
2016-08-17Don't overwrite self.size in ConcatJonas Gehring
size() is a method of the Container base class.
2016-08-13Merge pull request #929 from CDLuminate/fix-spelling-errorsSoumith Chintala
Fix many spelling errors with tool `codespell`.
2016-08-13Fix many spelling errors with tool `codespell`.Zhou Mo
This patch is imported from Debian Package.
2016-08-13Merge pull request #928 from szagoruyko/fix-test-typosSoumith Chintala
Fix typos in tests
2016-08-13fix typos in testsSergey Zagoruyko
2016-08-12Merge pull request #925 from kmul00/masterSoumith Chintala
SpatialDilatedMaxPooling doc
2016-08-12SpatialDilatedMaxPooling dockmul00
modified: doc/convolution.md
2016-08-12Add Spatial Dilated Max Poolingkmul00
new file: SpatialDilatedMaxPooling.lua modified: SpatialMaxPooling.lua modified: init.lua modified: lib/THNN/generic/SpatialMaxPooling.c modified: test.lua Updated THNN modified: THNN.h Removed unnecessary function calls modified: SpatialDilatedMaxPooling.lua