/*
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* These Licensed Deliverables contained herein is PROPRIETARY and
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* Any use of the Licensed Deliverables in individual and commercial
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* comments to the code, the above Disclaimer and U.S. Government End
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*/
/*
* cudnn_cnn_train : cuDNN's basic definitions and inference CNN functions.
*/
#pragma once
#include <cuda_runtime.h>
#include <stdint.h>
#include "cudnn_version.h"
#include "cudnn_ops_infer.h"
#include "cudnn_ops_train.h"
#include "cudnn_cnn_infer.h"
/* These version numbers are autogenerated, do not edit manually. */
#define CUDNN_CNN_TRAIN_MAJOR 8
#define CUDNN_CNN_TRAIN_MINOR 9
#define CUDNN_CNN_TRAIN_PATCH 2
#if (CUDNN_CNN_TRAIN_MAJOR != CUDNN_MAJOR) || (CUDNN_CNN_TRAIN_MINOR != CUDNN_MINOR) || \
(CUDNN_CNN_TRAIN_PATCH != CUDNN_PATCHLEVEL)
#error Version mismatch in cuDNN CNN INFER!!!
#endif
#if defined(__cplusplus)
extern "C" {
#endif
/* helper function to provide the convolution backward filter algo that fit best the requirement */
typedef struct cudnnConvolutionBwdFilterAlgoPerfStruct {
cudnnConvolutionBwdFilterAlgo_t algo;
cudnnStatus_t status;
float time;
size_t memory;
cudnnDeterminism_t determinism;
cudnnMathType_t mathType;
int reserved[3];
} cudnnConvolutionBwdFilterAlgoPerf_t;
cudnnStatus_t CUDNNWINAPI
cudnnGetConvolutionBackwardFilterAlgorithmMaxCount(cudnnHandle_t handle, int *count);
cudnnStatus_t CUDNNWINAPI
cudnnFindConvolutionBackwardFilterAlgorithm(cudnnHandle_t handle,
const cudnnTensorDescriptor_t xDesc,
const cudnnTensorDescriptor_t dyDesc,
const cudnnConvolutionDescriptor_t convDesc,
const cudnnFilterDescriptor_t dwDesc,
const int requestedAlgoCount,
int *returnedAlgoCount,
cudnnConvolutionBwdFilterAlgoPerf_t *perfResults);
cudnnStatus_t CUDNNWINAPI
cudnnFindConvolutionBackwardFilterAlgorithmEx(cudnnHandle_t handle,
const cudnnTensorDescriptor_t xDesc,
const void *x,
const cudnnTensorDescriptor_t dyDesc,
const void *y,
const cudnnConvolutionDescriptor_t convDesc,
const cudnnFilterDescriptor_t dwDesc,
void *dw,
const int requestedAlgoCount,
int *returnedAlgoCount,
cudnnConvolutionBwdFilterAlgoPerf_t *perfResults,
void *workSpace,
size_t workSpaceSizeInBytes);
cudnnStatus_t CUDNNWINAPI
cudnnGetConvolutionBackwardFilterAlgorithm_v7(cudnnHandle_t handle,
const cudnnTensorDescriptor_t srcDesc,
const cudnnTensorDescriptor_t diffDesc,
const cudnnConvolutionDescriptor_t convDesc,
const cudnnFilterDescriptor_t gradDesc,
const int requestedAlgoCount,
int *returnedAlgoCount,
cudnnConvolutionBwdFilterAlgoPerf_t *perfResults);
/*
* convolution algorithm (which requires potentially some workspace)
*/
/* Helper function to return the minimum size of the workspace to be passed to the convolution given an algo*/
cudnnStatus_t CUDNNWINAPI
cudnnGetConvolutionBackwardFilterWorkspaceSize(cudnnHandle_t handle,
const cudnnTensorDescriptor_t xDesc,
const cudnnTensorDescriptor_t dyDesc,
const cudnnConvolutionDescriptor_t convDesc,
const cudnnFilterDescriptor_t gradDesc,
cudnnConvolutionBwdFilterAlgo_t algo,
size_t *sizeInBytes);
cudnnStatus_t CUDNNWINAPI
cudnnConvolutionBackwardFilter(cudnnHandle_t handle,
const void *alpha,
const cudnnTensorDescriptor_t xDesc,
const void *x,
const cudnnTensorDescriptor_t dyDesc,
const void *dy,
const cudnnConvolutionDescriptor_t convDesc,
cudnnConvolutionBwdFilterAlgo_t algo,
void *workSpace,
size_t workSpaceSizeInBytes,
const void *beta,
const cudnnFilterDescriptor_t dwDesc,
void *dw);
/* Function to compute the bias gradient for batch convolution */
cudnnStatus_t CUDNNWINAPI
cudnnConvolutionBackwardBias(cudnnHandle_t handle,
const void *alpha,
const cudnnTensorDescriptor_t dyDesc,
const void *dy,
const void *beta,
const cudnnTensorDescriptor_t dbDesc,
void *db);
cudnnStatus_t CUDNNWINAPI
cudnnCreateFusedOpsConstParamPack(cudnnFusedOpsConstParamPack_t *constPack, cudnnFusedOps_t ops);
cudnnStatus_t CUDNNWINAPI
cudnnDestroyFusedOpsConstParamPack(cudnnFusedOpsConstParamPack_t constPack);
cudnnStatus_t CUDNNWINAPI
cudnnSetFusedOpsConstParamPackAttribute(cudnnFusedOpsConstParamPack_t constPack,
cudnnFusedOpsConstParamLabel_t paramLabel,
const void *param);
cudnnStatus_t CUDNNWINAPI
cudnnGetFusedOpsConstParamPackAttribute(const cudnnFusedOpsConstParamPack_t constPack,
cudnnFusedOpsConstParamLabel_t paramLabel,
void *param,
int *isNULL);
cudnnStatus_t CUDNNWINAPI
cudnnCreateFusedOpsVariantParamPack(cudnnFusedOpsVariantParamPack_t *varPack, cudnnFusedOps_t ops);
cudnnStatus_t CUDNNWINAPI
cudnnDestroyFusedOpsVariantParamPack(cudnnFusedOpsVariantParamPack_t varPack);
cudnnStatus_t CUDNNWINAPI
cudnnSetFusedOpsVariantParamPackAttribute(cudnnFusedOpsVariantParamPack_t varPack,
cudnnFusedOpsVariantParamLabel_t paramLabel,
void *ptr);
cudnnStatus_t CUDNNWINAPI
cudnnGetFusedOpsVariantParamPackAttribute(const cudnnFusedOpsVariantParamPack_t varPack,
cudnnFusedOpsVariantParamLabel_t paramLabel,
void *ptr);
cudnnStatus_t CUDNNWINAPI
cudnnCreateFusedOpsPlan(cudnnFusedOpsPlan_t *plan, cudnnFusedOps_t ops);
cudnnStatus_t CUDNNWINAPI
cudnnDestroyFusedOpsPlan(cudnnFusedOpsPlan_t plan);
cudnnStatus_t CUDNNWINAPI
cudnnMakeFusedOpsPlan(cudnnHandle_t handle,
cudnnFusedOpsPlan_t plan,
const cudnnFusedOpsConstParamPack_t constPack,
size_t *workspaceSizeInBytes);
cudnnStatus_t CUDNNWINAPI
cudnnFusedOpsExecute(cudnnHandle_t handle, const cudnnFusedOpsPlan_t plan, cudnnFusedOpsVariantParamPack_t varPack);
cudnnStatus_t CUDNNWINAPI
cudnnCnnTrainVersionCheck(void);
#if defined(__cplusplus)
}
#endif