cnDNN-7.0-win-x64-v3.0深度学习CUDA库深度神经网络依赖项

/* * Copyright 1993-2015 NVIDIA Corporation. All rights reserved. * * NOTICE TO LICENSEE: * * This source code and/or documentation ("Licensed Deliverables") are * subject to NVIDIA intellectual property rights under U.S. and * international Copyright laws. * * These Licensed Deliverables contained herein is PROPRIETARY and * CONFIDENTIAL to NVIDIA and is being provided under the terms and * conditions of a form of NVIDIA software license agreement by and * between NVIDIA and Licensee ("License Agreement") or electronically * accepted by Licensee. Notwithstanding any terms or conditions to * the contrary in the License Agreement, reproduction or disclosure * of the Licensed Deliverables to any third party without the express * written consent of NVIDIA is prohibited. * * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. 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These Licensed Deliverables are a * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT * 1995), consisting of "commercial computer software" and "commercial * computer software documentation" as such terms are used in 48 * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government * only as a commercial end item. Consistent with 48 C.F.R.12.212 and * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all * U.S. Government End Users acquire the Licensed Deliverables with * only those rights set forth herein. * * Any use of the Licensed Deliverables in individual and commercial * software must include, in the user documentation and internal * comments to the code, the above Disclaimer and U.S. Government End * Users Notice. */ /* cudnn : Neural Networks Library */ #if !defined(CUDNN_H_) #define CUDNN_H_ #define CUDNN_MAJOR 3 #define CUDNN_MINOR 0 #define CUDNN_PATCHLEVEL 07 #define CUDNN_VERSION (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL) #include "driver_types.h" #include <cuda_runtime.h> #ifndef CUDNNWINAPI #ifdef _WIN32 #define CUDNNWINAPI __stdcall #else #define CUDNNWINAPI #endif #endif #if defined (__cplusplus) extern "C" { #endif struct cudnnContext; typedef struct cudnnContext *cudnnHandle_t; size_t CUDNNWINAPI cudnnGetVersion(void); /* * CUDNN return codes */ typedef enum { CUDNN_STATUS_SUCCESS = 0, CUDNN_STATUS_NOT_INITIALIZED = 1, CUDNN_STATUS_ALLOC_FAILED = 2, CUDNN_STATUS_BAD_PARAM = 3, CUDNN_STATUS_INTERNAL_ERROR = 4, CUDNN_STATUS_INVALID_VALUE = 5, CUDNN_STATUS_ARCH_MISMATCH = 6, CUDNN_STATUS_MAPPING_ERROR = 7, CUDNN_STATUS_EXECUTION_FAILED = 8, CUDNN_STATUS_NOT_SUPPORTED = 9, CUDNN_STATUS_LICENSE_ERROR = 10 } cudnnStatus_t; // human-readable error messages const char * CUDNNWINAPI cudnnGetErrorString(cudnnStatus_t status); cudnnStatus_t CUDNNWINAPI cudnnCreate(cudnnHandle_t *handle); cudnnStatus_t CUDNNWINAPI cudnnDestroy(cudnnHandle_t handle); cudnnStatus_t CUDNNWINAPI cudnnSetStream(cudnnHandle_t handle, cudaStream_t streamId); cudnnStatus_t CUDNNWINAPI cudnnGetStream(cudnnHandle_t handle, cudaStream_t *streamId); /* Data structures to represent Image/Filter and the Neural Network Layer */ typedef struct cudnnTensorStruct* cudnnTensorDescriptor_t; typedef struct cudnnConvolutionStruct* cudnnConvolutionDescriptor_t; typedef struct cudnnPoolingStruct* cudnnPoolingDescriptor_t; typedef struct cudnnFilterStruct* cudnnFilterDescriptor_t; typedef struct cudnnLRNStruct* cudnnLRNDescriptor_t; /* * CUDNN data type */ typedef enum { CUDNN_DATA_FLOAT = 0, CUDNN_DATA_DOUBLE = 1, CUDNN_DATA_HALF = 2, } cudnnDataType_t; /* Create an instance of a generic Tensor descriptor */ cudnnStatus_t CUDNNWINAPI cudnnCreateTensorDescriptor( cudnnTensorDescriptor_t *tensorDesc ); typedef enum { CUDNN_TENSOR_NCHW = 0, /* row major (wStride = 1, hStride = w) */ CUDNN_TENSOR_NHWC = 1 /* feature maps interleaved ( cStride = 1 )*/ } cudnnTensorFormat_t; cudnnStatus_t CUDNNWINAPI cudnnSetTensor4dDescriptor( cudnnTensorDescriptor_t tensorDesc, cudnnTensorFormat_t format, cudnnDataType_t dataType, // image data type int n, // number of inputs (batch size) int c, // number of input feature maps int h, // height of input section int w // width of input section ); cudnnStatus_t CUDNNWINAPI cudnnSetTensor4dDescriptorEx( cudnnTensorDescriptor_t tensorDesc, cudnnDataType_t dataType, // image data type int n, // number of inputs (batch size) int c, // number of input feature maps int h, // height of input section int w, // width of input section int nStride, int cStride, int hStride, int wStride ); cudnnStatus_t CUDNNWINAPI cudnnGetTensor4dDescriptor( const cudnnTensorDescriptor_t tensorDesc, cudnnDataType_t *dataType, // image data type int *n, // number of inputs (batch size) int *c, // number of input feature maps int *h, // height of input section int *w, // width of input section int *nStride, int *cStride, int *hStride, int *wStride ); cudnnStatus_t CUDNNWINAPI cudnnSetTensorNdDescriptor( cudnnTensorDescriptor_t tensorDesc, cudnnDataType_t dataType, int nbDims, const int dimA[], const int strideA[] ); cudnnStatus_t CUDNNWINAPI cudnnGetTensorNdDescriptor( const cudnnTensorDescriptor_t tensorDesc,