#ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "THNN/generic/THNN.h"
#else

#include <ATen/core/Reduction.h>
#include <ATen/core/Generator.h>
#include <ATen/core/DistributionsHelper.h>

TH_API void THNN_(AbsCriterion_updateOutput)(
          THNNState *state,            // library's state
          THTensor *input,             // input tensor
          THTensor *target,            // tensor with target values
          THTensor *output,            // [OUT] a one-element tensor with loss
          int64_t reduction);
TH_API void THNN_(AbsCriterion_updateGradInput)(
          THNNState *state,            // library's state
          THTensor *input,             // input tensor
          THTensor *target,            // tensor with target values
          THTensor *gradOutput,
          THTensor *gradInput,         // [OUT] gradient w.r.t. input
          int64_t reduction);

TH_API void THNN_(BCECriterion_updateOutput)(
          THNNState *state,
          THTensor *input,
          THTensor *target,
          THTensor *output,
          int64_t reduction,
          THTensor *weights);          // [OPTIONAL]
TH_API void THNN_(BCECriterion_updateGradInput)(
          THNNState *state,
          THTensor *input,
          THTensor *target,
          THTensor *gradOutput,
          THTensor *gradInput,
          int64_t reduction,
          THTensor *weights);          // [OPTIONAL]

TH_API void THNN_(ClassNLLCriterion_updateOutput)(
          THNNState *state,            // library's state
          THTensor *input,             // input tensor (1D/2D)
          THIndexTensor *target,       // tensor containing indexes of target classes
          THTensor *output,            // [OUT] a one-element tensor with loss
          int64_t reduction,
          THTensor *weights,           // [OPTIONAL] class weights
          THTensor *total_weight,      // [BUFFER]
          int64_t ignore_index);       // target index to ignore (loss = 0, gradInput = 0)
TH_API void THNN_(ClassNLLCriterion_updateGradInput)(
          THNNState *state,            // library's state
          THTensor *input,             // input tensor (1D/2D)
          THIndexTensor *target,       // tensor containing indexes of target classes
          THTensor *gradOutput,
          THTensor *gradInput,         // [OUT] gradient w.r.t. input
          int64_t reduction,
          THTensor *weights,           // [OPTIONAL] class weights
          THTensor *total_weight,      // [BUFFER]
          int64_t ignore_index);       // target index to ignore (loss = 0, gradInput = 0)

TH_API void THNN_(ELU_updateOutput)(
          THNNState *state,            // library's state
          THTensor *input,             // input tensor
          THTensor *output,            // [OUT] ELU output
          accreal alpha,               // an ELU parameter (as in paper)
          accreal scale,               // scaling factor for output
          accreal input_scale,         // scaling factor for input
          bool inplace);               // if true, modifies gradOutput and sets gradInput onto it (no additional memory is allocated)
TH_API void THNN_(ELU_updateGradInput)(
          THNNState *state,            // library's state
          THTensor *gradOutput,        // gradient w.r.t. output
          THTensor *gradInput,         // [OUT] gradient w.r.t. input
          THTensor *output,            // output from a forward pass
          accreal alpha,               // an ELU parameter (as in paper)
          accreal scale,
          accreal input_scale);

TH_API void THNN_(GatedLinear_updateOutput)(
          THNNState *state,            // library's state
          THTensor *input,             // input tensor
          THTensor *output,            // [OUT] output tensor, half size of input along dimension dim
          int dim);                    // dimension for halving operation
TH_API void THNN_(GatedLinear_updateGradInput)(
          THNNState *state,            // library's state
          THTensor *input,             // input tensor
          THTensor *gradOutput,        // gradient w.r.t module's output
          THTensor *gradInput,         // [OUT] gradient w.r.t input
          int dim);                    // dimension for halving operation

// HardTanh clamps the values to the interval [min_val; max_val].
TH_API void THNN_(HardTanh_updateOutput)(
          THNNState *state,            // library's state
          THTensor *input,             // input tensor
          THTensor *output,            // [OUT] output tensor
          accreal min_val,             // lower threshold
          accreal max_val,             // upper threshold
          bool inplace);
TH_API void THNN_(HardTanh_updateGradInput)(
          THNNState *state,            // library's state
          THTensor *input,             // input tensor
          THTensor *gradOutput,        // gradient w.r.t. module's output
          THTensor *gradInput,         // [OUT] gradient w.r.t. the input
          accreal min_val,             // lower threshold
          accreal max_val,             // upper threshold
          bool inplace);

TH_API void THNN_(LeakyReLU_updateOutput)(
          THNNState *state,            // library's state
          THTensor *input,             // [MODIFIED] input tensor
          THTensor *output,            // [OUT] output tensor
          accreal negval,              // negative part slope
          bool inplace);               // if true, modifies the input tensor and sets the output tensor on it (no additional memory is allocated)
TH_API void THNN_(LeakyReLU_updateGradInput)(
          THNNState *state,            // library's state
          THTensor *input,             // input tensor
          THTensor *gradOutput,        // [MODIFIED] gradient w.r.t. module's output
          THTensor *gradInput,         // [OUT] gradient w.r.t. the input
          accreal negval,              // negative part slope
          bool inplace);               // if true, modifies gradOutput and sets gradInput onto it (no additional memory is allocated)

TH_API void THNN_(LogSigmoid_updateOutput)(
          THNNState *state,            // library's state
          THTensor *input,             // input tensor
          THTensor *output,            // output tensor
          THTensor *buffer);           // [BUFFER]
TH_API void THNN_(LogSigmoid_updateGradInput)(
          THNNState *state,            // library's state
          THTensor *input,             // input
          THTensor *gradOutput,        // gradient w.r.t. module's output
          THTensor *gradInput,         // [OUT] gradient w.r.t. input
          THTensor *buffer);           // [BUFFER]

TH_API void THNN_(SoftMarginCriterion_updateOutput)(
          THNNState *state,
          THTensor *input,
          THTensor *target,
          THTensor *output,
          int64_t reduction);

TH_API void THNN_(SoftMarginCriterion_updateGradInput)(
          THNNState *state,
          THTensor *input,
          THTensor *target,
          THTensor *gradOutput,
          THTensor *gradInput,
          int64_t reduction);

TH_API void THNN_(MSECriterion_updateOutput)(
          THNNState *state,
          THTensor *input,
          THTensor *target,
          THTensor *output,
          int64_t reduction);
TH_API void THNN_(MSECriterion_updateGradInput)(
          THNNState *state,
          THTensor *input,
          THTensor *target,
          THTensor *gradOutput,
          THTensor *gradInput,
          int64_t reduction);

TH_API void THNN_(MultiLabelMarginCriterion_updateOutput)(
          THNNState *state,
          THTensor *input,
          THIndexTensor *target,
          THTensor *output,
          THTensor *isTarget,
          int64_t reduction);
TH_API void THNN_(MultiLabelMarginCriterion_updateGradInput)(
          THNNState *state,
          THTensor *input,
          THIndexTensor *target,
          THTensor *gradOutput,
          THTensor *gradInput,
          THTensor *isTarget,
          int64_t reduction);

TH_API void THNN_(MultiMarginCriterion_updateOutput)(
          THNNState *state,
          THTensor *input,
          THIndexTensor *target,
          THTensor *output,
          int64_t reduction,
          int p,
          THTensor* weights,      // [OPTIONAL]
          accreal margin);
TH_API void THNN_(MultiMarginCriterion_updateGradInput)(
          THNNState *state,
          THTensor *input,
          THIndexTensor *target,
          THTensor *gradOutput,
          THTensor *gradInput,
          int64_t reduction,
          int p,
          THTensor *weights,      // [OPTIONAL]
          accreal margin);

TH_API void THNN_(RReLU_updateOutput)(
          THNNState *state,
          THTensor *input,
          THTensor *output,
          THTensor *noise,
          accreal lower,
          accreal upper,
          bool train,
          bool inplace,
          at::Generator *generator);
TH_API void THNN_(RReLU_updateGradInput)(
          THNNState *state,
          THTensor *input,
          THTensor *gradOutput,
          THTensor *gradInput,
          THTensor *noise,
          accreal lower,
          accreal 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 *gradOutput,
          THTensor *gradInput,
          THTensor *output);

TH_API void THNN_(SmoothL1Criterion_updateOutput)(
          THNNState *state,
          THTensor *input,
          THTensor *target,
          THTensor *output,
          int64_t reduction);
TH_API void THNN_(SmoothL1Criterion_updateGradInput)(
          THNNState *state,
          THTensor *input,
          THTensor *target,
          THTensor *gradOutput,
          THTensor *gradInput,
          int64_t reduction);

TH_API void THNN_(SoftPlus_updateOutput)(
          THNNState *state,
          THTensor *input, THTensor *output,
          accreal beta,
          accreal threshold);
TH_API void THNN_(SoftPlus_updateGradInput)(
          THNNState *state,
          THTensor *input,
          THTensor *gradOutput,
          THTensor *gradInput,
          THTensor *output,
          accreal beta,
          accreal threshold);

TH_API void THNN_(SoftShrink_updateOutput)(
          THNNState *state,
          THTensor *input,
          THTensor *output,
          accreal lambda);
TH_API void THNN_(SoftShrink_updateGradInput)(
          THNNState *state,
          THTensor *input,
          THTensor *gradOutput,
          THTensor *gradInput,
          accreal lambda);


TH_API void THNN_(IndexLinear_updateOutput)(
          THNNState *state,
          THIndexTensor *keys,
          int64_t keysOffset,
          THTensor *values,
          THIndexTensor *sizes,
          THIndexTensor *cumSumSizes,
          THTensor *output,
          THTensor *weight,
          THTensor *bias,
          THTensor *normalizedValues,
          int train);
TH_API void THNN_(IndexLinear_accGradParameters)(
          THNNState *state,
          THIndexTensor *keys,
          int64_t keysOffset,
          THTensor *values,
          THIndexTensor *sizes,
          THIndexTensor *cumSumSizes,
          THTensor *gradOutput,
          THTensor *gradWeight,
          THTensor *gradBias,
          THTensor *weight,
          THTensor *bias,
          THTensor* valuesBuffer,
          accreal weightDecay,
          accreal scale);
TH_API void THNN_(IndexLinear_accUpdateGradParameters)(
          THNNState *state,
          THIndexTensor *keys,
          int64_t keysOffset,
          THTensor *values,
          THIndexTensor *sizes,
          THIndexTensor *cumSumSizes,
          THTensor *gradOutput,
          THTensor *weight,
          THTensor *bias,
          accreal weightDecay,
          accreal scale);
TH_API void THNN_(IndexLinear_updateParameters)(
          THNNState *state,
          THTensor *gradWeight,
          THTensor *gradBias,
          THTensor *weight,
          THTensor *bias,
          THIndexTensor *runningKeys,
          THIndexTensor *cumSumSizes,
          int64_t keysOffset,
          accreal weightDecay,
          accreal learningRate);

TH_API void THNN_(TemporalRowConvolution_updateOutput)(
          THNNState *state,
          THTensor *input,
          THTensor *output,
          THTensor *weight,
          THTensor *bias,
          THTensor *finput,
          THTensor *fgradInput,
          int kW,
          int dW,
          int padW,
          bool featFirst);
TH_API void THNN_(TemporalRowConvolution_updateGradInput)(
          THNNState *state,
          THTensor *input,
          THTensor *gradOutput,
          THTensor *gradInput,
          THTensor *weight,
          THTensor *finput,
          THTensor *fgradInput,
          int kW,
          int dW,
          int padW,
          bool featFirst);
TH_API void THNN_(TemporalRowConvolution_accGradParameters)(
          THNNState *state,
          THTensor *input,
          THTensor *gradOutput,
          THTensor *gradWeight,
          THTensor *gradBias,
          THTensor *finput,
          THTensor *fgradInput,
          int kW,
          int dW,
          int padW,
          bool featFirst,
          accreal scale);

TH_API void THNN_(SpatialConvolutionMM_updateOutput)(
          THNNState *state,
          THTensor *input,
          THTensor *output,
          THTensor *weight,
          THTensor *bias,         // [OPTIONAL]
          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 *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,     // [OPTIONAL]
          THTensor *finput,
          THTensor *fgradInput,
          int kW, int kH,
          int dW, int dH,
          int padW, int padH,
          accreal scale);

TH_API void THNN_(unfolded_acc)(
          THTensor *finput,
          THTensor *input,
          int kW, int kH,
          int dW, int dH,
          int padW, int padH,
          int nInputPlane,
          int inputWidth, int inputHeight,
          int osizeW, int outputHeight);
TH_API void THNN_(unfolded_copy)(
          THTensor *finput,
          THTensor *input,
          int kW, int kH,
          int dW, int dH,
          int padW, int padH,
          int nInputPlane,
          int inputWidth, int inputHeight,
          int outputWidth, int outputHeight);

TH_API void THNN_(VolumetricFullDilatedConvolution_updateOutput)(
          THNNState *state,         // library state
          THTensor *input,          // 4D or 5D (batch) tensor
          THTensor *output,         // [OUT] volumetric convolution output
          THTensor *weight,         // weight tensor (nInputPlane x nOutputPlane x kT x kH x kW)
          THTensor *bias,           // [OPTIONAL] gradBias tensor (nOutputPlane)
          THTensor *finput,         // [OUT] internal columns buffer
          THTensor *fgradInput,     // [OUT] internal ones buffer
          int kT, int kW, int kH,   // kernel size
          int dT, int dW, int dH,   // stride of the convolution
          int pT, int pW, int pH,   // padding
          int dilationT, int dilationW, int dilationH,
          int aT, int aW, int aH);  // extra output adjustment
TH_API void THNN_(VolumetricFullDilatedConvolution_updateGradInput)(
          THNNState *state,         // library state
          THTensor *input,          // 4D or 5D (batch) tensor
          THTensor *gradOutput,     // gradient w.r.t. output
          THTensor *gradInput,      // [OUT] gradient w.r.t. input
          THTensor *weight,         // weight tensor (nInputPlane x nOutputPlane x kT x kH x kW)
          THTensor *finput,         // internal columns buffer
          THTensor *fgradInput,     // internal ones buffer
          int kT, int kW, int kH,   // kernel size
          int dT, int dW, int dH,   // stride
          int pT, int pW, int pH,   // padding
          int dilationT, int dilationW, int dilationH,
          int aT, int aW, int aH);  // extra output adjustment

TH_API void THNN_(VolumetricFullDilatedConvolution_accGradParameters)(
          THNNState *state,         // library state
          THTensor *input,          // 4D or 5D (batch) tensor
          THTensor *gradOutput,     // gradient w.r.t. output
          THTensor *gradWeight,     // gradWeight tensor (nInputPlane x nOutputPlane x kT x kH x kW)
          THTensor *gradBias,       // [OPTIONAL] gradBias tensor (nOutputPlane)
          THTensor *finput,         // internal columns buffer
          THTensor *fgradInput,     // internal ones buffer
          int kT, int kW, int kH,   // kernel size
          int dT, int dW, int dH,   // stride
          int pT, int pW, int pH,   // padding
          int dilationT, int dilationW, int dilationH,
          int aT, int aW, int aH,   // extra output adjustment
          accreal scale);           // scaling factor

TH_API void THNN_(FeatureLPPooling_updateOutput)(
          THNNState *state,
          THTensor *input,
          THTensor *output,
          accreal power,
          int width,
          int stride,
          bool batchMode);

TH_API void THNN_(FeatureLPPooling_updateGradInput)(
          THNNState *state,
          THTensor* gradOutput,
          THTensor* input,
          THTensor* output,
          THTensor* gradInput,
          accreal power,
          int width,
          int stride,
          bool batchMode);

TH_API void THNN_(Tanh_updateOutput)(
          THNNState *state,
          THTensor *input,
          THTensor *output);
TH_API void THNN_(Tanh_updateGradInput)(
          THNNState *state,
          THTensor *gradOutput,
          THTensor *gradInput,
          THTensor *output);

TH_API void THNN_(VolumetricConvolutionMM_updateOutput)(
          THNNState *state,
          THTensor *input,
          THTensor *output,
          THTensor *weight,
          THTensor *bias,           // [OPTIONAL]
          THTensor *finput,
          THTensor *fgradInput,     // HACK to make signature line up with backward
          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,       // [OPTIONAL]
          THTensor *finput,
          THTensor *fgradInput,
          int kT, int kW, int kH,
          int dT, int dW, int dH,
          int pT, int pW, int pH,
          accreal scale);

TH_API void THNN_(SpatialClassNLLCriterion_updateOutput)(
          THNNState *state,            // library's state
          THTensor *input,             // input tensor (4D)
          THIndexTensor *target,       // tensor containing indexes of target classes (3D)
          THTensor *output,            // [OUT] a one-element tensor with loss
          int64_t reduction,
          THTensor *weights,           // [OPTIONAL] class weights
          THTensor *total_weight,      // [BUFFER]
          int64_t ignore_index);       // target index to ignore (loss = 0, gradInput = 0)

TH_API void THNN_(SpatialClassNLLCriterion_updateGradInput)(
          THNNState *state,            // library's state
          THTensor *input,             // input tensor (4D)
          THIndexTensor *target,       // tensor containing indexes of target classes (3D)
          THTensor *gradOutput,
          THTensor *gradInput,         // [OUT] gradient w.r.t. input
          int64_t reduction,
          THTensor *weights,           // [OPTIONAL] class weights
          THTensor *total_weight,      // [BUFFER]
          int64_t ignore_index);       // target index to ignore (loss = 0, gradInput = 0)


#endif
