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THNN.lua
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local ffi = require 'ffi'
local THNN = {}
local generic_THNN_h = [[
TH_API void THNN_(Abs_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output);
TH_API void THNN_(Abs_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput);
TH_API void THNN_(AbsCriterion_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *target,
THTensor *output,
bool sizeAverage);
TH_API void THNN_(AbsCriterion_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *target,
THTensor *gradInput,
bool sizeAverage);
TH_API void THNN_(ClassNLLCriterion_updateOutput)(
THNNState *state,
THTensor *input,
THIndexTensor *target,
THTensor *output,
bool sizeAverage,
THTensor *weights,
THTensor *total_weight);
TH_API void THNN_(ClassNLLCriterion_updateGradInput)(
THNNState *state,
THTensor *input,
THIndexTensor *target,
THTensor *gradInput,
bool sizeAverage,
THTensor *weights,
THTensor *total_weight);
TH_API void THNN_(ELU_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
real alpha);
TH_API void THNN_(ELU_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *output,
real alpha);
TH_API void THNN_(DistKLDivCriterion_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *target,
THTensor *output,
bool sizeAverage);
TH_API void THNN_(DistKLDivCriterion_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *target,
THTensor *gradInput,
bool sizeAverage);
TH_API void THNN_(HardShrink_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
real lambda);
TH_API void THNN_(HardShrink_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
real lambda);
TH_API void THNN_(HardTanh_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
real min_val,
real max_val);
TH_API void THNN_(HardTanh_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
real min_val,
real max_val);
TH_API void THNN_(L1Cost_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output);
TH_API void THNN_(L1Cost_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput);
TH_API void THNN_(LeakyReLU_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
real negval,
bool inplace);
TH_API void THNN_(LeakyReLU_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
real negval,
bool inplace);
TH_API void THNN_(LogSigmoid_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *buffer);
TH_API void THNN_(LogSigmoid_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *buffer);
TH_API void THNN_(LogSoftMax_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output);
TH_API void THNN_(LogSoftMax_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *output);
TH_API void THNN_(LookupTable_accGradParameters)(
THNNState *state,
THIndexTensor *input,
THTensor *gradOutput,
THTensor *gradWeight,
THIntegerTensor *count,
THTensor *sorted,
THTensor *indices,
bool scaleGradByFreq,
int paddingValue,
real scale);
TH_API void THNN_(MarginCriterion_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *target,
THTensor *output,
bool sizeAverage,
real margin);
TH_API void THNN_(MarginCriterion_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *target,
THTensor *gradInput,
bool sizeAverage,
real margin);
TH_API void THNN_(MSECriterion_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *target,
THTensor *output,
bool sizeAverage);
TH_API void THNN_(MSECriterion_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *target,
THTensor *gradInput,
bool sizeAverage);
TH_API void THNN_(MultiLabelMarginCriterion_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *target,
THTensor *output,
bool sizeAverage);
TH_API void THNN_(MultiLabelMarginCriterion_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *target,
THTensor *gradInput,
bool sizeAverage);
TH_API void THNN_(MultiMarginCriterion_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *target,
THTensor *output,
bool sizeAverage,
int p,
THTensor *weights);
TH_API void THNN_(MultiMarginCriterion_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *target,
THTensor *gradInput,
bool sizeAverage,
int p,
THTensor *weights);
TH_API void THNN_(PReLU_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *weight,
THIndex_t nOutputPlane);
TH_API void THNN_(PReLU_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *weight,
THIndex_t nOutputPlane);
TH_API void THNN_(PReLU_accGradParameters)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *weight,
THTensor *gradWeight,
THTensor *gradWeightBuf,
THTensor *gradWeightBuf2,
THIndex_t nOutputPlane,
real scale);
TH_API void THNN_(RReLU_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *noise,
real lower,
real upper,
bool train,
bool inplace,
THGenerator *generator);
TH_API void THNN_(RReLU_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *noise,
real lower,
real upper,
bool train,
bool inplace);
TH_API void THNN_(Sigmoid_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output);
TH_API void THNN_(Sigmoid_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *output);
TH_API void THNN_(SmoothL1Criterion_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *target,
THTensor *output,
bool sizeAverage);
TH_API void THNN_(SmoothL1Criterion_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *target,
THTensor *gradInput,
bool sizeAverage);
TH_API void THNN_(SoftMax_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output);
TH_API void THNN_(SoftMax_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *output);
TH_API void THNN_(SoftPlus_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
real beta,
real threshold);
TH_API void THNN_(SoftPlus_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *output,
real beta,
real threshold);
TH_API void THNN_(SoftShrink_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
real lambda);
TH_API void THNN_(SoftShrink_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
real lambda);
TH_API void THNN_(SparseLinear_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *weight,
THTensor *bias,
THTensor *shardBuffer);
TH_API void THNN_(SparseLinear_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *weight);
TH_API void THNN_(SparseLinear_accGradParameters)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradWeight,
THTensor *gradBias,
THTensor *weight,
THTensor *bias,
real weightDecay,
real scale);
TH_API void THNN_(SparseLinear_zeroGradParameters)(
THNNState *state,
THTensor *gradWeight,
THTensor *gradBias,
THTensor *lastInput);
TH_API void THNN_(SparseLinear_updateParameters)(
THNNState *state,
THTensor *weight,
THTensor *bias,
THTensor *gradWeight,
THTensor *gradBias,
THTensor *lastInput,
real learningRate);
TH_API void THNN_(Sqrt_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
real eps);
TH_API void THNN_(Sqrt_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *output);
TH_API void THNN_(Square_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output);
TH_API void THNN_(Square_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput);
TH_API void THNN_(Tanh_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output);
TH_API void THNN_(Tanh_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *output);
TH_API void THNN_(Threshold_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
real threshold,
real val,
bool inplace);
TH_API void THNN_(Threshold_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
real threshold,
bool inplace);
TH_API void THNN_(TemporalConvolution_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *weight,
THTensor *bias,
int kW, int dW,
int inputFrameSize,
int outputFrameSize);
TH_API void THNN_(TemporalConvolution_updateGradInput)(
THNNState* state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *weight,
int kW, int dW);
TH_API void THNN_(TemporalConvolution_accGradParameters)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradWeight,
THTensor *gradBias,
int kW, int dW,
real scale);
TH_API void THNN_(TemporalMaxPooling_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *indices,
int kW, int dW);
TH_API void THNN_(TemporalMaxPooling_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *indices,
int kW, int dW);
TH_API void THNN_(TemporalSubSampling_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *weight,
THTensor *bias,
int kW, int dW,
int inputFrameSize);
TH_API void THNN_(TemporalSubSampling_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *weight,
int kW, int dW);
TH_API void THNN_(TemporalSubSampling_accGradParameters)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradWeight,
THTensor *gradBias,
int kW, int dW,
real scale);
TH_API void THNN_(SpatialBatchNormalization_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *weight,
THTensor *bias,
THTensor *running_mean,
THTensor *running_var,
THTensor *save_mean,
THTensor *save_std,
bool train,
double momentum,
double eps);
TH_API void THNN_(SpatialBatchNormalization_backward)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *gradWeight,
THTensor *gradBias,
THTensor *weight,
THTensor *save_mean,
THTensor *save_std,
double scale);
TH_API void THNN_(SpatialConvolutionMap_updateOutput)(
THNNState *state, // library state
THTensor *input, // input tensor
THTensor *output, // [OUT] convolution output
THTensor *weight, // 3D weight tensor (connTable:size(1) x kH x kW)
THTensor *bias, // 1D bias tensor (nOutputPlane)
THTensor *connTable, // connection table
int nInputPlane, // number of input planes
int nOutputPlane, // number of output planes
int dW, int dH); // stride
TH_API void THNN_(SpatialConvolutionMap_updateGradInput)(
THNNState *state, // library state
THTensor *input, // input tensor
THTensor *gradOutput, // gradient w.r.t. output
THTensor *gradInput, // [OUT] gradient w.r.t. input
THTensor *weight, // 3D weight tensor (connTable:size(1) x kH x kW)
THTensor *bias, // 1D bias tensor (nOutputPlane)
THTensor *connTable, // connection table
int nInputPlane, // number of input planes
int nOutputPlane, // number of output planes
int dW, int dH); // stride
TH_API void THNN_(SpatialConvolutionMap_accGradParameters)(
THNNState *state, // library state
THTensor *input, // input tensor
THTensor *gradOutput, // gradient w.r.t. output
THTensor *gradWeight, // 3D gradWeight tensor (connTable:size(1) x kH x kW)
THTensor *gradBias, // 1D gradBias tensor (nOutputPlane)
THTensor *connTable, // connection table
int nInputPlane, // number of input planes
int nOutputPlane, // number of output planes
int dW, int dH, // stride
real scale); // scaling factor
TH_API void THNN_(SpatialConvolutionMM_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *weight,
THTensor *bias,
THTensor *finput,
THTensor *fgradInput,
int kW, int kH,
int dW, int dH,
int padW, int padH);
TH_API void THNN_(SpatialConvolutionMM_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *weight,
THTensor *bias,
THTensor *finput,
THTensor *fgradInput,
int kW, int kH,
int dW, int dH,
int padW, int padH);
TH_API void THNN_(SpatialConvolutionMM_accGradParameters)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradWeight,
THTensor *gradBias,
THTensor *finput,
THTensor *fgradInput,
int kW, int kH,
int dW, int dH,
int padW, int padH,
real scale);
TH_API void THNN_(SpatialConvolutionLocal_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *weight,
THTensor *bias,
THTensor *finput,
THTensor *fgradInput,
int kW, int kH,
int dW, int dH,
int padW, int padH,
long inputWidth, long inputHeight,
long outputWidth, long outputHeight);
TH_API void THNN_(SpatialConvolutionLocal_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *weight,
THTensor *finput,
THTensor *fgradInput,
int kW, int kH,
int dW, int dH,
int padW, int padH,
long inputWidth, long inputHeight,
long outputWidth, long outputHeight);
TH_API void THNN_(SpatialConvolutionLocal_accGradParameters)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradWeight,
THTensor *gradBias,
THTensor *finput,
THTensor *fgradInput,
int kW, int kH,
int dW, int dH,
int padW, int padH,
long inputWidth, long inputHeight,
long outputWidth, long outputHeight,
real scale);
TH_API void THNN_(SpatialAdaptiveMaxPooling_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *indices,
int owidth, int oheight);
TH_API void THNN_(SpatialAdaptiveMaxPooling_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *indices);
TH_API void THNN_(SpatialAveragePooling_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
int kW, int kH,
int dW, int dH,
int padW, int padH,
bool ceil_mode,
bool count_include_pad);
TH_API void THNN_(SpatialAveragePooling_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
int kW, int kH,
int dW, int dH,
int padW, int padH,
bool ceil_mode,
bool count_include_pad);
TH_API void THNN_(SpatialFractionalMaxPooling_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
int outputW, int outputH,
int poolSizeW, int poolSizeH,
THTensor *indices,
THTensor *randomSamples);
TH_API void THNN_(SpatialFractionalMaxPooling_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
int outputW, int outputH,
int poolSizeW, int poolSizeH,
THTensor *indices);
TH_API void THNN_(SpatialFullConvolution_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *weight,
THTensor *bias,
THTensor *columns,
THTensor *ones,
int kW, int kH,
int dW, int dH,
int padW, int padH,
int adjW, int adjH);
TH_API void THNN_(SpatialFullConvolution_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *weight,
THTensor *gradColumns,
int kW, int kH,
int dW, int dH,
int padW, int padH,
int adjW, int adjH);
TH_API void THNN_(SpatialFullConvolution_accGradParameters)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradWeight,
THTensor *gradBias,
THTensor *columns,
THTensor *ones,
int kW, int kH,
int dW, int dH,
int padW, int padH,
int adjW, int adjH,
real scale);
TH_API void THNN_(SpatialFullConvolutionMap_updateOutput)(
THNNState *state, // library state
THTensor *input, // input tensor
THTensor *output, // [OUT] convolution output
THTensor *weight, // 3D weight tensor (connTable:size(1) x kH x kW)
THTensor *bias, // 1D bias tensor (nOutputPlane)
THTensor *connTable, // connection table
int nInputPlane, // number of input planes
int nOutputPlane, // number of output planes
int dW, int dH); // stride
TH_API void THNN_(SpatialFullConvolutionMap_updateGradInput)(
THNNState *state, // library state
THTensor *input, // input tensor
THTensor *gradOutput, // gradient w.r.t. output
THTensor *gradInput, // [OUT] gradient w.r.t. input
THTensor *weight, // 3D weight tensor (connTable:size(1) x kH x kW)
THTensor *bias, // 1D bias tensor (nOutputPlane)
THTensor *connTable, // connection table
int nInputPlane, // number of input planes
int nOutputPlane, // number of output planes
int dW, int dH); // stride
TH_API void THNN_(SpatialFullConvolutionMap_accGradParameters)(
THNNState *state, // library state
THTensor *input, // input tensor
THTensor *gradOutput, // gradient w.r.t. output
THTensor *gradWeight, // 3D gradWeight tensor (connTable:size(1) x kH x kW)
THTensor *gradBias, // 1D gradBias tensor (nOutputPlane)
THTensor *connTable, // connection table
int nInputPlane, // number of input planes
int nOutputPlane, // number of output planes
int dW, int dH, // stride
real scale); // scaling factor
TH_API void THNN_(SpatialMaxPooling_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *indices,
int kW, int kH,
int dW, int dH,
int padW, int padH,
bool ceil_mode);
TH_API void THNN_(SpatialMaxPooling_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *indices,
int kW, int kH,
int dW, int dH,
int padW, int padH,
bool ceil_mode);
TH_API void THNN_(SpatialMaxUnpooling_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *indices,
int owidth, int oheight);
TH_API void THNN_(SpatialMaxUnpooling_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *indices,
int owidth, int oheight);
TH_API void THNN_(SpatialSubSampling_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *weight,
THTensor *bias,
int kW, int kH,
int dW, int dH);
TH_API void THNN_(SpatialSubSampling_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *weight,
int kW, int kH,
int dW, int dH);
TH_API void THNN_(SpatialSubSampling_accGradParameters)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradWeight,
THTensor *gradBias,
int kW, int kH,
int dW, int dH,
real scale);
TH_API void THNN_(SpatialUpSamplingNearest_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
int scale_factor);
TH_API void THNN_(SpatialUpSamplingNearest_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
int scale_factor);
TH_API void THNN_(VolumetricAveragePooling_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
int kT, int kW, int kH,
int dT, int dW, int dH);
TH_API void THNN_(VolumetricAveragePooling_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
int kT, int kW, int kH,
int dT, int dW, int dH);
TH_API void THNN_(VolumetricConvolution_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *weight,
THTensor *bias,
THTensor *finput,
THTensor *fgradInput,
int dT, int dW, int dH,
int pT, int pW, int pH);
TH_API void THNN_(VolumetricConvolution_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *weight,
THTensor *finput,
int dT, int dW, int dH,
int pT, int pW, int pH);
TH_API void THNN_(VolumetricConvolution_accGradParameters)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradWeight,
THTensor *gradBias,
THTensor *finput,
THTensor *fgradInput,
int dT, int dW, int dH,
int pT, int pW, int pH,
real scale);
TH_API void THNN_(VolumetricConvolutionMM_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *weight,
THTensor *bias,
THTensor *finput,
int kT, int kW, int kH,
int dT, int dW, int dH,
int pT, int pW, int pH);
TH_API void THNN_(VolumetricConvolutionMM_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *weight,
THTensor *finput,
THTensor *fgradInput,
int kT, int kW, int kH,
int dT, int dW, int dH,
int pT, int pW, int pH);
TH_API void THNN_(VolumetricConvolutionMM_accGradParameters)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradWeight,
THTensor *gradBias,
THTensor *finput,
real scale);
TH_API void THNN_(VolumetricFullConvolution_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *weight,
THTensor *bias,
THTensor *finput,
THTensor *fgradInput,
int dT, int dW, int dH,
int pT, int pW, int pH);
TH_API void THNN_(VolumetricFullConvolution_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *weight,
THTensor *finput,
THTensor *fgradInput,
int dT, int dW, int dH,
int pT, int pW, int pH);
TH_API void THNN_(VolumetricFullConvolution_accGradParameters)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradWeight,
THTensor *gradBias,
THTensor *finput,
THTensor *fgradInput,
int dT, int dW, int dH,
int pT, int pW, int pH,
real scale);
TH_API void THNN_(VolumetricMaxPooling_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *indices,
int kT, int kW, int kH,
int dT, int dW, int dH,
int pT, int pW, int pH,
bool ceilMode);
TH_API void THNN_(VolumetricMaxPooling_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *indices,
int dT, int dW, int dH,
int pT, int pW, int pH);
TH_API void THNN_(VolumetricMaxUnpooling_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *indices,
int oT, int oW, int oH,
int dT, int dW, int dH,
int pT, int pW, int pH);
TH_API void THNN_(VolumetricMaxUnpooling_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *indices,
int oT, int oW, int oH,
int dT, int dW, int dH,
int pT, int pW, int pH);
]]
-- THGenerator struct declaration copied from torch7/lib/TH/THRandom.h
local base_declarations = [[
typedef void THNNState;
typedef struct {
unsigned long the_initial_seed;
int left;
int seeded;
unsigned long next;
unsigned long state[624]; /* the array for the state vector 624 = _MERSENNE_STATE_N */
double normal_x;
double normal_y;
double normal_rho;
int normal_is_valid;
} THGenerator;
]]
-- polyfill for LUA 5.1
if not package.searchpath then
local sep = package.config:sub(1,1)
function package.searchpath(mod, path)
mod = mod:gsub('%.', sep)
for m in path:gmatch('[^;]+') do
local nm = m:gsub('?', mod)
local f = io.open(nm, 'r')
if f then
f:close()
return nm
end
end
end
end
-- load libTHNN
THNN.C = ffi.load(package.searchpath('libTHNN', package.cpath))
ffi.cdef(base_declarations)
-- expand macros, allow to use original lines from lib/THNN/generic/THNN.h
local preprocessed = string.gsub(generic_THNN_h, 'TH_API void THNN_%(([%a%d_]+)%)', 'void THNN_TYPE%1')
local replacements =
{
{
['TYPE'] = 'Double',
['real'] = 'double',
['THTensor'] = 'THDoubleTensor',
['THIndexTensor'] = 'THLongTensor',
['THIntegerTensor'] = 'THIntTensor',
['THIndex_t'] = 'long',
['THInteger_t'] = 'int'
},
{