Welcome to mirror list, hosted at ThFree Co, Russian Federation.

github.com/torch/nn.git - Unnamed repository; edit this file 'description' to name the repository.
summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
authorSoumith Chintala <soumith@fb.com>2016-02-13 03:26:57 +0300
committerSoumith Chintala <soumith@fb.com>2016-02-13 03:26:57 +0300
commit257a9167f76dc2d4d1ec06b848d241aa960e1a29 (patch)
tree26aa57fc163a3a05dc5947a2c4824199ab1fc8d2 /init.lua
parent870f5f987944ad34a1ab3d10b9bf0efb067a93ee (diff)
include -> require
Diffstat (limited to 'init.lua')
-rw-r--r--init.lua302
1 files changed, 151 insertions, 151 deletions
diff --git a/init.lua b/init.lua
index 5fde749..f98346b 100644
--- a/init.lua
+++ b/init.lua
@@ -2,156 +2,156 @@ require('torch')
require('libnn')
require('nn.THNN')
-include('utils.lua')
-
-
-include('ErrorMessages.lua')
-include('Module.lua')
-
-include('Container.lua')
-include('Concat.lua')
-include('Parallel.lua')
-include('Sequential.lua')
-include('DepthConcat.lua')
-
-include('Linear.lua')
-include('Bilinear.lua')
-include('SparseLinear.lua')
-include('Reshape.lua')
-include('View.lua')
-include('Contiguous.lua')
-include('Select.lua')
-include('Narrow.lua')
-include('Index.lua')
-include('Replicate.lua')
-include('Transpose.lua')
-include('BatchNormalization.lua')
-include('Padding.lua')
-include('GradientReversal.lua')
-
-include('Copy.lua')
-include('Min.lua')
-include('Max.lua')
-include('Sum.lua')
-include('Mean.lua')
-include('CMul.lua')
-include('Mul.lua')
-include('MulConstant.lua')
-include('Add.lua')
-include('AddConstant.lua')
-include('Dropout.lua')
-include('SpatialDropout.lua')
-
-include('CAddTable.lua')
-include('CDivTable.lua')
-include('CMulTable.lua')
-include('CSubTable.lua')
-
-include('Euclidean.lua')
-include('WeightedEuclidean.lua')
-include('PairwiseDistance.lua')
-include('CosineDistance.lua')
-include('DotProduct.lua')
-include('Normalize.lua')
-include('Cosine.lua')
-
-include('Exp.lua')
-include('Log.lua')
-include('HardTanh.lua')
-include('Clamp.lua')
-include('LogSigmoid.lua')
-include('LogSoftMax.lua')
-include('Sigmoid.lua')
-include('SoftMax.lua')
-include('SoftMin.lua')
-include('SoftPlus.lua')
-include('SoftSign.lua')
-include('Tanh.lua')
-include('TanhShrink.lua')
-include('Abs.lua')
-include('Power.lua')
-include('Square.lua')
-include('Sqrt.lua')
-include('HardShrink.lua')
-include('SoftShrink.lua')
-include('Threshold.lua')
-include('ReLU.lua')
-include('PReLU.lua')
-include('LeakyReLU.lua')
-include('SpatialSoftMax.lua')
-include('RReLU.lua')
-include('ELU.lua')
-
-include('LookupTable.lua')
-include('SpatialConvolution.lua')
-include('SpatialConvolutionLocal.lua')
-include('SpatialFullConvolution.lua')
-include('SpatialFullConvolutionMap.lua')
-include('SpatialConvolutionMM.lua')
-include('SpatialConvolutionMap.lua')
-include('SpatialSubSampling.lua')
-include('SpatialMaxPooling.lua')
-include('SpatialMaxUnpooling.lua')
-include('SpatialFractionalMaxPooling.lua')
-include('SpatialLPPooling.lua')
-include('SpatialAveragePooling.lua')
-include('SpatialAdaptiveMaxPooling.lua')
-include('TemporalConvolution.lua')
-include('TemporalSubSampling.lua')
-include('TemporalMaxPooling.lua')
-include('SpatialSubtractiveNormalization.lua')
-include('SpatialDivisiveNormalization.lua')
-include('SpatialContrastiveNormalization.lua')
-include('SpatialCrossMapLRN.lua')
-include('SpatialZeroPadding.lua')
-include('SpatialUpSamplingNearest.lua')
-include('SpatialBatchNormalization.lua')
-
-include('VolumetricConvolution.lua')
-include('VolumetricFullConvolution.lua')
-include('VolumetricMaxPooling.lua')
-include('VolumetricMaxUnpooling.lua')
-include('VolumetricAveragePooling.lua')
-
-include('ParallelTable.lua')
-include('ConcatTable.lua')
-include('SplitTable.lua')
-include('JoinTable.lua')
-include('SelectTable.lua')
-include('MixtureTable.lua')
-include('CriterionTable.lua')
-include('FlattenTable.lua')
-include('NarrowTable.lua')
-include('Identity.lua')
-
-include('Criterion.lua')
-include('MSECriterion.lua')
-include('SmoothL1Criterion.lua')
-include('MarginCriterion.lua')
-include('AbsCriterion.lua')
-include('ClassNLLCriterion.lua')
-include('DistKLDivCriterion.lua')
-include('MultiCriterion.lua')
-include('L1HingeEmbeddingCriterion.lua')
-include('HingeEmbeddingCriterion.lua')
-include('CosineEmbeddingCriterion.lua')
-include('MarginRankingCriterion.lua')
-include('MultiMarginCriterion.lua')
-include('MultiLabelMarginCriterion.lua')
-include('L1Cost.lua')
-include('L1Penalty.lua')
-include('WeightedMSECriterion.lua')
-include('BCECriterion.lua')
-include('CrossEntropyCriterion.lua')
-include('ParallelCriterion.lua')
-
-include('StochasticGradient.lua')
-
-include('MM.lua')
-
-include('Jacobian.lua')
-include('SparseJacobian.lua')
-include('hessian.lua')
-include('test.lua')
+require('nn.utils')
+
+
+require('nn.ErrorMessages')
+require('nn.Module')
+
+require('nn.Container')
+require('nn.Concat')
+require('nn.Parallel')
+require('nn.Sequential')
+require('nn.DepthConcat')
+
+require('nn.Linear')
+require('nn.Bilinear')
+require('nn.SparseLinear')
+require('nn.Reshape')
+require('nn.View')
+require('nn.Contiguous')
+require('nn.Select')
+require('nn.Narrow')
+require('nn.Index')
+require('nn.Replicate')
+require('nn.Transpose')
+require('nn.BatchNormalization')
+require('nn.Padding')
+require('nn.GradientReversal')
+
+require('nn.Copy')
+require('nn.Min')
+require('nn.Max')
+require('nn.Sum')
+require('nn.Mean')
+require('nn.CMul')
+require('nn.Mul')
+require('nn.MulConstant')
+require('nn.Add')
+require('nn.AddConstant')
+require('nn.Dropout')
+require('nn.SpatialDropout')
+
+require('nn.CAddTable')
+require('nn.CDivTable')
+require('nn.CMulTable')
+require('nn.CSubTable')
+
+require('nn.Euclidean')
+require('nn.WeightedEuclidean')
+require('nn.PairwiseDistance')
+require('nn.CosineDistance')
+require('nn.DotProduct')
+require('nn.Normalize')
+require('nn.Cosine')
+
+require('nn.Exp')
+require('nn.Log')
+require('nn.HardTanh')
+require('nn.Clamp')
+require('nn.LogSigmoid')
+require('nn.LogSoftMax')
+require('nn.Sigmoid')
+require('nn.SoftMax')
+require('nn.SoftMin')
+require('nn.SoftPlus')
+require('nn.SoftSign')
+require('nn.Tanh')
+require('nn.TanhShrink')
+require('nn.Abs')
+require('nn.Power')
+require('nn.Square')
+require('nn.Sqrt')
+require('nn.HardShrink')
+require('nn.SoftShrink')
+require('nn.Threshold')
+require('nn.ReLU')
+require('nn.PReLU')
+require('nn.LeakyReLU')
+require('nn.SpatialSoftMax')
+require('nn.RReLU')
+require('nn.ELU')
+
+require('nn.LookupTable')
+require('nn.SpatialConvolution')
+require('nn.SpatialConvolutionLocal')
+require('nn.SpatialFullConvolution')
+require('nn.SpatialFullConvolutionMap')
+require('nn.SpatialConvolutionMM')
+require('nn.SpatialConvolutionMap')
+require('nn.SpatialSubSampling')
+require('nn.SpatialMaxPooling')
+require('nn.SpatialMaxUnpooling')
+require('nn.SpatialFractionalMaxPooling')
+require('nn.SpatialLPPooling')
+require('nn.SpatialAveragePooling')
+require('nn.SpatialAdaptiveMaxPooling')
+require('nn.TemporalConvolution')
+require('nn.TemporalSubSampling')
+require('nn.TemporalMaxPooling')
+require('nn.SpatialSubtractiveNormalization')
+require('nn.SpatialDivisiveNormalization')
+require('nn.SpatialContrastiveNormalization')
+require('nn.SpatialCrossMapLRN')
+require('nn.SpatialZeroPadding')
+require('nn.SpatialUpSamplingNearest')
+require('nn.SpatialBatchNormalization')
+
+require('nn.VolumetricConvolution')
+require('nn.VolumetricFullConvolution')
+require('nn.VolumetricMaxPooling')
+require('nn.VolumetricMaxUnpooling')
+require('nn.VolumetricAveragePooling')
+
+require('nn.ParallelTable')
+require('nn.ConcatTable')
+require('nn.SplitTable')
+require('nn.JoinTable')
+require('nn.SelectTable')
+require('nn.MixtureTable')
+require('nn.CriterionTable')
+require('nn.FlattenTable')
+require('nn.NarrowTable')
+require('nn.Identity')
+
+require('nn.Criterion')
+require('nn.MSECriterion')
+require('nn.SmoothL1Criterion')
+require('nn.MarginCriterion')
+require('nn.AbsCriterion')
+require('nn.ClassNLLCriterion')
+require('nn.DistKLDivCriterion')
+require('nn.MultiCriterion')
+require('nn.L1HingeEmbeddingCriterion')
+require('nn.HingeEmbeddingCriterion')
+require('nn.CosineEmbeddingCriterion')
+require('nn.MarginRankingCriterion')
+require('nn.MultiMarginCriterion')
+require('nn.MultiLabelMarginCriterion')
+require('nn.L1Cost')
+require('nn.L1Penalty')
+require('nn.WeightedMSECriterion')
+require('nn.BCECriterion')
+require('nn.CrossEntropyCriterion')
+require('nn.ParallelCriterion')
+
+require('nn.StochasticGradient')
+
+require('nn.MM')
+
+require('nn.Jacobian')
+require('nn.SparseJacobian')
+require('nn.hessian')
+require('nn.test')
return nn