cudnn-windows-x86-64-8.9.3.28-cuda12-archive

/* * Copyright 2014-2023 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_ops_infer : cuDNN's basic definitions and inference operations. */ #if !defined(CUDNN_OPS_INFER_H_) #define CUDNN_OPS_INFER_H_ #include <cuda_runtime.h> #include <stdint.h> #include "cudnn_version.h" /* These version numbers are autogenerated, do not edit manually. */ #define CUDNN_OPS_INFER_MAJOR 8 #define CUDNN_OPS_INFER_MINOR 9 #define CUDNN_OPS_INFER_PATCH 3 #if (CUDNN_OPS_INFER_MAJOR != CUDNN_MAJOR) || (CUDNN_OPS_INFER_MINOR != CUDNN_MINOR) || \ (CUDNN_OPS_INFER_PATCH != CUDNN_PATCHLEVEL) #error Version mismatch in cuDNN OPS INFER!!! #endif #ifndef CUDNNWINAPI #ifdef _WIN32 #define CUDNNWINAPI __stdcall #else #define CUDNNWINAPI #endif #endif /* Warnings for deprecated API-s are enabled using the CUDNN_WARN_DEPRECATED macro */ #if defined(CUDNN_WARN_DEPRECATED) && (defined(__GNUC__) || defined(__clang__)) /* GCC, Intel C/C++, Cray C/C++, CLANG, IBM XL C/C++ little endian */ #define CUDNN_DEPRECATED __attribute__((deprecated)) #elif defined(CUDNN_WARN_DEPRECATED) && defined(_MSC_VER) /* Microsoft Visual C++ */ #define CUDNN_DEPRECATED __declspec(deprecated) #elif defined(CUDNN_WARN_DEPRECATED) && (__cplusplus >= 201402L) /* C++14 compilers */ #define CUDNN_DEPRECATED [[deprecated]] #else /* No support for the deprecated attribute */ #define CUDNN_DEPRECATED #endif #if defined(__cplusplus) extern "C" { #endif struct cudnnContext; typedef struct cudnnContext *cudnnHandle_t; size_t CUDNNWINAPI cudnnGetVersion(void); size_t CUDNNWINAPI cudnnGetMaxDeviceVersion(void); /* Returns CUDA Runtime version statically linked against cudnn */ size_t CUDNNWINAPI cudnnGetCudartVersion(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, CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING = 11, CUDNN_STATUS_RUNTIME_IN_PROGRESS = 12, CUDNN_STATUS_RUNTIME_FP_OVERFLOW = 13, CUDNN_STATUS_VERSION_MISMATCH = 14, } cudnnStatus_t; /* human-readable error messages */ const char *CUDNNWINAPI cudnnGetErrorString(cudnnStatus_t status); /* Forward definition in this version only */ typedef struct cudnnRuntimeTag_t cudnnRuntimeTag_t; typedef enum { CUDNN_ERRQUERY_RAWCODE = 0, CUDNN_ERRQUERY_NONBLOCKING = 1, CUDNN_ERRQUERY_BLOCKING = 2, } cudnnErrQueryMode_t; cudnnStatus_t CUDNNWINAPI cudnnQueryRuntimeError(cudnnHandle_t handle, cudnnStatus_t *rstatus, cudnnErrQueryMode_t mode, cudnnRuntimeTag_t *tag); #ifndef __LIBRARY_TYPES_H__ typedef enum libraryPropertyType_t { MAJOR_VERSION, MINOR_VERSION, PATCH_LEVEL } libraryPropertyType; #endif cudnnStatus_t CUDNNWINAPI cudnnGetProperty(libraryPropertyType type, int *value); 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 cudnnPoolingStruct *cudnnPoolingDescriptor_t; typedef struct cudnnFilterStruct *cudnnFilterDescriptor_t; typedef struct cudnnLRNStruct *cudnnLRNDescriptor_t; typedef struct cudnnActivationStruct *cudnnActivationDescriptor_t; typedef struct cudnnSpatialTransformerStruct *cudnnSpatialTransformerDescriptor_t; typedef struct cudnnOpTensorStruct *cudnnOpTensorDescriptor_t; typedef struct cudnnReduceTensorStruct *cudnnReduceTensorDescriptor_t; typedef struct cudnnCTCLossStruct *cudnnCTCLossDescriptor_t; typedef struct cudnnTensorTransformStruct *cudnnTensorTransformDescriptor_t; /* * CUDNN data type */ typedef enum { CUDNN_DATA_FLOAT = 0, CUDNN_DATA_DOUBLE = 1, CUDNN_DATA_HALF = 2, CUDNN_DATA_INT8 = 3, CUDNN_DATA_INT32 = 4, CUDNN_DATA_INT8x4 = 5, CUDNN_DATA_UINT8 = 6, CUDNN_DATA_UINT8x4 = 7, CUDNN_DATA_INT8x32 = 8, CUDNN_DATA_BFLOAT16 = 9, CUDNN_DATA_INT64 = 10, CUDNN_DATA_BOOLEAN = 11, CUDNN_DATA_FP8_E4M3 = 12, CUDNN_DATA_FP8_E5M2 = 13, CUDNN_DATA_FAST_FLOAT_FOR_FP8 = 14, } cudnnDataType_t; /* * CUDNN math type */ typedef enum { CUDNN_DEFAULT_MATH = 0, CUDNN_TENSOR_OP_MATH = 1, CUDNN_TENSOR_OP_MATH_ALLOW_CONVERSION = 2, CUDNN_FMA_MATH = 3, } cudnnMathType_t; /* * CUDNN propagate Nan */ typedef enum { CUDNN_NOT_PROPAGATE_NAN = 0, CUDNN_PROPAGATE_NAN = 1, } cudnnNanPropagation_t; /* * CUDNN Determini