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* 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
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* 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
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* PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
* NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
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* SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
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* OF THESE LICENSED DELIVERABLES.
*
* U.S. Government End Users. 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.
*/
/**
* @file cudnn_cnn.h
* @brief cuDNN CNN library - convolution, algorithm selection, and fused operations. Most APIs deprecated.
*
* @since cuDNN 9.0.0
*/
/*
* cudnn_cnn : cuDNN's basic definitions and CNN functions.
*/
#if !defined(CUDNN_CNN_H_)
#define CUDNN_CNN_H_
#pragma once
#include <stdint.h>
#include "cudnn_version.h"
#include "cudnn_ops.h"
/* These version numbers are autogenerated, do not edit manually. */
#define CUDNN_CNN_MAJOR 9
#define CUDNN_CNN_MINOR 22
#define CUDNN_CNN_PATCH 0
#if (CUDNN_CNN_MAJOR != CUDNN_MAJOR) || (CUDNN_CNN_MINOR != CUDNN_MINOR) || (CUDNN_CNN_PATCH != CUDNN_PATCHLEVEL)
#error Version mismatch in cuDNN CNN INFER!!!
#endif
#if defined(__cplusplus)
extern "C" {
#endif
/**
* @brief Opaque descriptor for a convolution operation.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
typedef struct cudnnConvolutionStruct *cudnnConvolutionDescriptor_t CUDNN_DEPRECATED;
/**
* @brief Performance results for forward convolution algorithm selection.
*
* Contains timing, memory usage, and determinism information for a given
* forward convolution algorithm. Returned by algorithm search functions.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
typedef struct cudnnConvolutionFwdAlgoPerfStruct {
cudnnConvolutionFwdAlgo_t algo; /**< The forward convolution algorithm. */
cudnnStatus_t status; /**< Status returned when running this algorithm. */
float time; /**< Execution time in milliseconds. */
size_t memory; /**< Workspace memory required in bytes. */
cudnnDeterminism_t determinism; /**< Whether the algorithm is deterministic. */
cudnnMathType_t mathType; /**< Math type used by the algorithm. */
int reserved[3]; /**< Reserved for future use. */
} cudnnConvolutionFwdAlgoPerf_t CUDNN_DEPRECATED;
/**
* @brief Create an instance of convolution descriptor.
*
* @param[out] convDesc Pointer to receive the newly created convolution descriptor.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
/* Create an instance of convolution descriptor */
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnCreateConvolutionDescriptor(cudnnConvolutionDescriptor_t *convDesc);
/**
* @brief Destroy an instance of convolution descriptor.
*
* @param[in] convDesc The convolution descriptor to destroy.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
/* Destroy an instance of convolution descriptor */
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnDestroyConvolutionDescriptor(cudnnConvolutionDescriptor_t convDesc);
/**
* @brief Set the math type for a convolution descriptor.
*
* @param[in,out] convDesc The convolution descriptor.
* @param[in] mathType The math type to set.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnSetConvolutionMathType(cudnnConvolutionDescriptor_t convDesc, cudnnMathType_t mathType);
/**
* @brief Get the math type from a convolution descriptor.
*
* @param[in] convDesc The convolution descriptor.
* @param[out] mathType Pointer to receive the math type.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnGetConvolutionMathType(cudnnConvolutionDescriptor_t convDesc, cudnnMathType_t *mathType);
/**
* @brief Set the group count for a convolution descriptor.
*
* @param[in,out] convDesc The convolution descriptor.
* @param[in] groupCount The number of groups for grouped convolution.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnSetConvolutionGroupCount(cudnnConvolutionDescriptor_t convDesc, int groupCount);
/**
* @brief Get the group count from a convolution descriptor.
*
* @param[in] convDesc The convolution descriptor.
* @param[out] groupCount Pointer to receive the group count.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnGetConvolutionGroupCount(cudnnConvolutionDescriptor_t convDesc, int *groupCount);
/**
* @brief Set the reorder type for a convolution descriptor.
*
* @param[in,out] convDesc The convolution descriptor.
* @param[in] reorderType The reorder type to set.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnSetConvolutionReorderType(cudnnConvolutionDescriptor_t convDesc, cudnnReorderType_t reorderType);
/**
* @brief Get the reorder type from a convolution descriptor.
*
* @param[in] convDesc The convolution descriptor.
* @param[out] reorderType Pointer to receive the reorder type.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnGetConvolutionReorderType(cudnnConvolutionDescriptor_t convDesc, cudnnReorderType_t *reorderType);
/**
* @brief Set a 2D convolution descriptor with padding, stride, dilation, mode, and compute type.
*
* @param[in,out] convDesc The convolution descriptor to initialize.
* @param[in] pad_h Zero-padding height.
* @param[in] pad_w Zero-padding width.
* @param[in] u Vertical filter stride.
* @param[in] v Horizontal filter stride.
* @param[in] dilation_h Filter dilation in the vertical dimension.
* @param[in] dilation_w Filter dilation in the horizontal dimension.
* @param[in] mode Convolution mode (cross-correlation or convolution).
* @param[in] computeType Data type for convolution computation.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t convDesc,
int pad_h, /* zero-padding height */
int pad_w, /* zero-padding width */
int u, /* vertical filter stride */
int v, /* horizontal filter stride */
int dilation_h, /* filter dilation in the vertical dimension */
int dilation_w, /* filter dilation in the horizontal dimension */
cudnnConvolutionMode_t mode,
cudnnDataType_t computeType);
/**
* @brief Get the parameters of a 2D convolution descriptor.
*
* @param[in] convDesc The convolution descriptor to query.
* @param[out] pad_h Pointer to receive zero-padding height.
* @param[out] pad_w Pointer to receive zero-padding width.
* @param[out] u Pointer to receive vertical filter stride.
* @param[out] v Pointer to receive horizontal filter stride.
* @param[out] dilation_h Pointer to receive filter dilation in the vertical dimension.
* @param[out] dilation_w Pointer to receive filter dilation in the horizontal dimension.
* @param[out] mode Pointer to receive convolution mode.
* @param[out] computeType Pointer to receive compute data type.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnGetConvolution2dDescriptor(const cudnnConvolutionDescriptor_t convDesc,
int *pad_h, /* zero-padding height */
int *pad_w, /* zero-padding width */
int *u, /* vertical filter stride */
int *v, /* horizontal filter stride */
int *dilation_h, /* filter dilation in the vertical dimension */
int *dilation_w, /* filter dilation in the horizontal dimension */
cudnnConvolutionMode_t *mode,
cudnnDataType_t *computeType);
/**
* @brief Set an N-dimensional convolution descriptor.
*
* @param[in,out] convDesc The convolution descriptor to initialize.
* @param[in] arrayLength Number of dimensions (nbDims-2 size).
* @param[in] padA Array of zero-padding values per dimension.
* @param[in] filterStrideA Array of filter strides per dimension.
* @param[in] dilationA Array of dilation values per dimension.
* @param[in] mode Convolution mode.
* @param[in] computeType Data type for convolution computation.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnSetConvolutionNdDescriptor(cudnnConvolutionDescriptor_t convDesc,
int arrayLength, /* nbDims-2 size */
const int padA[],
const int filterStrideA[],
const int dilationA[],
cudnnConvolutionMode_t mode,
cudnnDataType_t computeType); /* convolution data type */
/**
* @brief Get the parameters of an N-dimensional convolution descriptor.
*
* @param[in] convDesc The convolution descriptor to query.
* @param[in] arrayLengthRequested Maximum number of dimensions to retrieve.
* @param[out] arrayLength Pointer to receive the actual number of dimensions.
* @param[out] padA Array to receive zero-padding values.
* @param[out] strideA Array to receive stride values.
* @param[out] dilationA Array to receive dilation values.
* @param[out] mode Pointer to receive convolution mode.
* @param[out] computeType Pointer to receive compute data type.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
/* Helper function to return the dimensions of the output tensor given a convolution descriptor */
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnGetConvolutionNdDescriptor(const cudnnConvolutionDescriptor_t convDesc,
int arrayLengthRequested,
int *arrayLength,
int padA[],
int strideA[],
int dilationA[],
cudnnConvolutionMode_t *mode,
cudnnDataType_t *computeType); /* convolution data type */
/**
* @brief Compute the output dimensions of a 2D convolution.
*
* @param[in] convDesc The convolution descriptor.
* @param[in] inputTensorDesc Descriptor for the input tensor.
* @param[in] filterDesc Descriptor for the filter.
* @param[out] n Pointer to receive the output batch size.
* @param[out] c Pointer to receive the output channels.
* @param[out] h Pointer to receive the output height.
* @param[out] w Pointer to receive the output width.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnGetConvolution2dForwardOutputDim(const cudnnConvolutionDescriptor_t convDesc,
const cudnnTensorDescriptor_t inputTensorDesc,
const cudnnFilterDescriptor_t filterDesc,
int *n,
int *c,
int *h,
int *w);
/**
* @brief Compute the output dimensions of an N-dimensional convolution.
*
* @param[in] convDesc The convolution descriptor.
* @param[in] inputTensorDesc Descriptor for the input tensor.
* @param[in] filterDesc Descriptor for the filter.
* @param[in] nbDims Number of dimensions.
* @param[out] tensorOuputDimA Array to receive the output dimensions.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
/* Helper function to return the dimensions of the output tensor given a convolution descriptor */
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnGetConvolutionNdForwardOutputDim(const cudnnConvolutionDescriptor_t convDesc,
const cudnnTensorDescriptor_t inputTensorDesc,
const cudnnFilterDescriptor_t filterDesc,
int nbDims,
int tensorOuputDimA[]);
/**
* @brief Get the maximum number of forward convolution algorithms available.
*
* @param[in] handle The cuDNN handle.
* @param[out] count Pointer to receive the maximum algorithm count.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
/* helper function to provide the convolution forward algo that fit best the requirement */
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnGetConvolutionForwardAlgorithmMaxCount(cudnnHandle_t handle, int *count);
/**
* @brief Get forward convolution algorithm recommendations without executing them.
*
* Returns a list of algorithms sorted by expected performance. Does not
* require a workspace or run actual convolutions.
*
* @param[in] handle The cuDNN handle.
* @param[in] srcDesc Descriptor for the input tensor.
* @param[in] filterDesc Descriptor for the filter.
* @param[in] convDesc The convolution descriptor.
* @param[in] destDesc Descriptor for the output tensor.
* @param[in] requestedAlgoCount Maximum number of algorithms to return.
* @param[out] returnedAlgoCount Pointer to receive the actual number returned.
* @param[out] perfResults Array to receive the algorithm performance results.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnGetConvolutionForwardAlgorithm_v7(cudnnHandle_t handle,
const cudnnTensorDescriptor_t srcDesc,
const cudnnFilterDescriptor_t filterDesc,
const cudnnConvolutionDescriptor_t convDesc,
const cudnnTensorDescriptor_t destDesc,
const int requestedAlgoCount,
int *returnedAlgoCount,
cudnnConvolutionFwdAlgoPerf_t *perfResults);
/**
* @brief Find the best forward convolution algorithm by running benchmarks.
*
* Executes all applicable algorithms and returns performance results
* sorted by execution time. Does not require user-allocated workspace.
*
* @param[in] handle The cuDNN handle.
* @param[in] xDesc Descriptor for the input tensor.
* @param[in] wDesc Descriptor for the filter.
* @param[in] convDesc The convolution descriptor.
* @param[in] yDesc Descriptor for the output tensor.
* @param[in] requestedAlgoCount Maximum number of algorithms to test.
* @param[out] returnedAlgoCount Pointer to receive the actual number returned.
* @param[out] perfResults Array to receive the algorithm performance results.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnFindConvolutionForwardAlgorithm(cudnnHandle_t handle,
const cudnnTensorDescriptor_t xDesc,
const cudnnFilterDescriptor_t wDesc,
const cudnnConvolutionDescriptor_t convDesc,
const cudnnTensorDescriptor_t yDesc,
const int requestedAlgoCount,
int *returnedAlgoCount,
cudnnConvolutionFwdAlgoPerf_t *perfResults);
/**
* @brief Find the best forward convolution algorithm by running benchmarks with user-provided buffers.
*
* Similar to cudnnFindConvolutionForwardAlgorithm but uses caller-provided
* data buffers and workspace.
*
* @param[in] handle The cuDNN handle.
* @param[in] xDesc Descriptor for the input tensor.
* @param[in] x Pointer to input data in device memory.
* @param[in] wDesc Descriptor for the filter.
* @param[in] w Pointer to filter data in device memory.
* @param[in] convDesc The convolution descriptor.
* @param[in] yDesc Descriptor for the output tensor.
* @param[out] y Pointer to output data in device memory.
* @param[in] requestedAlgoCount Maximum number of algorithms to test.
* @param[out] returnedAlgoCount Pointer to receive the actual number returned.
* @param[out] perfResults Array to receive the algorithm performance results.
* @param[in] workSpace Pointer to workspace in device memory.
* @param[in] workSpaceSizeInBytes Size of the workspace in bytes.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnFindConvolutionForwardAlgorithmEx(cudnnHandle_t handle,
const cudnnTensorDescriptor_t xDesc,
const void *x,
const cudnnFilterDescriptor_t wDesc,
const void *w,
const cudnnConvolutionDescriptor_t convDesc,
const cudnnTensorDescriptor_t yDesc,
void *y,
const int requestedAlgoCount,
int *returnedAlgoCount,
cudnnConvolutionFwdAlgoPerf_t *perfResults,
void *workSpace,
size_t workSpaceSizeInBytes);
/**
* @brief Perform the Im2Col transform for convolution.
*
* Rearranges image data into a column matrix suitable for matrix multiplication
* based convolution.
*
* @param[in] handle The cuDNN handle.
* @param[in] xDesc Descriptor for the input tensor.
* @param[in] x Pointer to input data in device memory.
* @param[in] wDesc Descriptor for the filter.
* @param[in] convDesc The convolution descriptor.
* @param[out] colBuffer Pointer to the output column buffer in device memory.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnIm2Col(cudnnHandle_t handle,
const cudnnTensorDescriptor_t xDesc,
const void *x,
const cudnnFilterDescriptor_t wDesc,
const cudnnConvolutionDescriptor_t convDesc,
void *colBuffer);
/**
* @brief Reorder filter and bias data for optimized convolution execution.
*
* Rearranges filter and optionally bias data into a layout optimized for
* the specified reorder type.
*
* @param[in] handle The cuDNN handle.
* @param[in] filterDesc Descriptor for the filter.
* @param[in] reorderType The reorder type to apply.
* @param[in] filterData Pointer to source filter data in device memory.
* @param[out] reorderedFilterData Pointer to destination filter data in device memory.
* @param[in] reorderBias Non-zero to also reorder bias data.
* @param[in] biasData Pointer to source bias data in device memory (may be NULL).
* @param[out] reorderedBiasData Pointer to destination bias data in device memory (may be NULL).
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnReorderFilterAndBias(cudnnHandle_t handle,
const cudnnFilterDescriptor_t filterDesc,
cudnnReorderType_t reorderType,
const void *filterData,
void *reorderedFilterData,
int reorderBias,
const void *biasData,
void *reorderedBiasData);
/**
* @brief Get the minimum workspace size required for a forward convolution algorithm.
*
* @param[in] handle The cuDNN handle.
* @param[in] xDesc Descriptor for the input tensor.
* @param[in] wDesc Descriptor for the filter.
* @param[in] convDesc The convolution descriptor.
* @param[in] yDesc Descriptor for the output tensor.
* @param[in] algo The forward convolution algorithm.
* @param[out] sizeInBytes Pointer to receive the required workspace size.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
/* Helper function to return the minimum size of the workspace to be passed to the convolution given an algo*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnGetConvolutionForwardWorkspaceSize(cudnnHandle_t handle,
const cudnnTensorDescriptor_t xDesc,
const cudnnFilterDescriptor_t wDesc,
const cudnnConvolutionDescriptor_t convDesc,
const cudnnTensorDescriptor_t yDesc,
cudnnConvolutionFwdAlgo_t algo,
size_t *sizeInBytes);
/* Convolution functions: All of the form "output = alpha * Op(inputs) + beta * output" */
/**
* @brief Execute a forward convolution.
*
* Computes: y = alpha * conv(x, w) + beta * y
*
* @param[in] handle The cuDNN handle.
* @param[in] alpha Pointer to scaling factor for the convolution result.
* @param[in] xDesc Descriptor for the input tensor.
* @param[in] x Pointer to input data in device memory.
* @param[in] wDesc Descriptor for the filter.
* @param[in] w Pointer to filter data in device memory.
* @param[in] convDesc The convolution descriptor.
* @param[in] algo The forward convolution algorithm to use.
* @param[in] workSpace Pointer to workspace in device memory.
* @param[in] workSpaceSizeInBytes Size of the workspace in bytes.
* @param[in] beta Pointer to scaling factor for the prior output.
* @param[in] yDesc Descriptor for the output tensor.
* @param[in,out] y Pointer to output data in device memory.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
/* Function to perform the forward pass for batch convolution */
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnConvolutionForward(cudnnHandle_t handle,
const void *alpha,
const cudnnTensorDescriptor_t xDesc,
const void *x,
const cudnnFilterDescriptor_t wDesc,
const void *w,
const cudnnConvolutionDescriptor_t convDesc,
cudnnConvolutionFwdAlgo_t algo,
void *workSpace,
size_t workSpaceSizeInBytes,
const void *beta,
const cudnnTensorDescriptor_t yDesc,
void *y);
/**
* @brief Execute a fused convolution with bias and activation.
*
* Computes: y = Act( alpha1 * conv(x) + alpha2 * z + bias )
*
* @param[in] handle The cuDNN handle.
* @param[in] alpha1 Pointer to scaling factor for the convolution result.
* @param[in] xDesc Descriptor for the input tensor.
* @param[in] x Pointer to input data in device memory.
* @param[in] wDesc Descriptor for the filter.
* @param[in] w Pointer to filter data in device memory.
* @param[in] convDesc The convolution descriptor.
* @param[in] algo The forward convolution algorithm to use.
* @param[in] workSpace Pointer to workspace in device memory.
* @param[in] workSpaceSizeInBytes Size of the workspace in bytes.
* @param[in] alpha2 Pointer to scaling factor for the residual input z.
* @param[in] zDesc Descriptor for the residual input tensor.
* @param[in] z Pointer to residual data in device memory.
* @param[in] biasDesc Descriptor for the bias tensor.
* @param[in] bias Pointer to bias data in device memory.
* @param[in] activationDesc Descriptor for the activation operation.
* @param[in] yDesc Descriptor for the output tensor.
* @param[in,out] y Pointer to output data in device memory.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
/* Fused conv/bias/activation operation : y = Act( alpha1 * conv(x) + alpha2 * z + bias ) */
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnConvolutionBiasActivationForward(cudnnHandle_t handle,
const void *alpha1,
const cudnnTensorDescriptor_t xDesc,
const void *x,
const cudnnFilterDescriptor_t wDesc,
const void *w,
const cudnnConvolutionDescriptor_t convDesc,
cudnnConvolutionFwdAlgo_t algo,
void *workSpace,
size_t workSpaceSizeInBytes,
const void *alpha2,
const cudnnTensorDescriptor_t zDesc,
const void *z,
const cudnnTensorDescriptor_t biasDesc,
const void *bias,
const cudnnActivationDescriptor_t activationDesc,
const cudnnTensorDescriptor_t yDesc,
void *y);
/* helper function to provide the convolution backward data algo that fit best the requirement */
/**
* @brief Performance results for backward data convolution algorithm selection.
*
* Contains timing, memory usage, and determinism information for a given
* backward data convolution algorithm. Returned by algorithm search functions.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
typedef struct cudnnConvolutionBwdDataAlgoPerfStruct {
cudnnConvolutionBwdDataAlgo_t algo; /**< The backward data convolution algorithm. */
cudnnStatus_t status; /**< Status returned when running this algorithm. */
float time; /**< Execution time in milliseconds. */
size_t memory; /**< Workspace memory required in bytes. */
cudnnDeterminism_t determinism; /**< Whether the algorithm is deterministic. */
cudnnMathType_t mathType; /**< Math type used by the algorithm. */
int reserved[3]; /**< Reserved for future use. */
} cudnnConvolutionBwdDataAlgoPerf_t CUDNN_DEPRECATED;
/**
* @brief Get the maximum number of backward data convolution algorithms available.
*
* @param[in] handle The cuDNN handle.
* @param[out] count Pointer to receive the maximum algorithm count.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnGetConvolutionBackwardDataAlgorithmMaxCount(cudnnHandle_t handle, int *count);
/**
* @brief Find the best backward data convolution algorithm by running benchmarks.
*
* @param[in] handle The cuDNN handle.
* @param[in] wDesc Descriptor for the filter.
* @param[in] dyDesc Descriptor for the gradient output tensor.
* @param[in] convDesc The convolution descriptor.
* @param[in] dxDesc Descriptor for the gradient input tensor.
* @param[in] requestedAlgoCount Maximum number of algorithms to test.
* @param[out] returnedAlgoCount Pointer to receive the actual number returned.
* @param[out] perfResults Array to receive the algorithm performance results.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnFindConvolutionBackwardDataAlgorithm(cudnnHandle_t handle,
const cudnnFilterDescriptor_t wDesc,
const cudnnTensorDescriptor_t dyDesc,
const cudnnConvolutionDescriptor_t convDesc,
const cudnnTensorDescriptor_t dxDesc,
const int requestedAlgoCount,
int *returnedAlgoCount,
cudnnConvolutionBwdDataAlgoPerf_t *perfResults);
/**
* @brief Find the best backward data convolution algorithm with user-provided buffers.
*
* @param[in] handle The cuDNN handle.
* @param[in] wDesc Descriptor for the filter.
* @param[in] w Pointer to filter data in device memory.
* @param[in] dyDesc Descriptor for the gradient output tensor.
* @param[in] dy Pointer to gradient output data in device memory.
* @param[in] convDesc The convolution descriptor.
* @param[in] dxDesc Descriptor for the gradient input tensor.
* @param[out] dx Pointer to gradient input data in device memory.
* @param[in] requestedAlgoCount Maximum number of algorithms to test.
* @param[out] returnedAlgoCount Pointer to receive the actual number returned.
* @param[out] perfResults Array to receive the algorithm performance results.
* @param[in] workSpace Pointer to workspace in device memory.
* @param[in] workSpaceSizeInBytes Size of the workspace in bytes.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnFindConvolutionBackwardDataAlgorithmEx(cudnnHandle_t handle,
const cudnnFilterDescriptor_t wDesc,
const void *w,
const cudnnTensorDescriptor_t dyDesc,
const void *dy,
const cudnnConvolutionDescriptor_t convDesc,
const cudnnTensorDescriptor_t dxDesc,
void *dx,
const int requestedAlgoCount,
int *returnedAlgoCount,
cudnnConvolutionBwdDataAlgoPerf_t *perfResults,
void *workSpace,
size_t workSpaceSizeInBytes);
/**
* @brief Get backward data convolution algorithm recommendations without executing them.
*
* @param[in] handle The cuDNN handle.
* @param[in] filterDesc Descriptor for the filter.
* @param[in] diffDesc Descriptor for the gradient output tensor.
* @param[in] convDesc The convolution descriptor.
* @param[in] gradDesc Descriptor for the gradient input tensor.
* @param[in] requestedAlgoCount Maximum number of algorithms to return.
* @param[out] returnedAlgoCount Pointer to receive the actual number returned.
* @param[out] perfResults Array to receive the algorithm performance results.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnGetConvolutionBackwardDataAlgorithm_v7(cudnnHandle_t handle,
const cudnnFilterDescriptor_t filterDesc,
const cudnnTensorDescriptor_t diffDesc,
const cudnnConvolutionDescriptor_t convDesc,
const cudnnTensorDescriptor_t gradDesc,
const int requestedAlgoCount,
int *returnedAlgoCount,
cudnnConvolutionBwdDataAlgoPerf_t *perfResults);
/*
* convolution algorithm (which requires potentially some workspace)
*/
/**
* @brief Get the minimum workspace size required for a backward data convolution algorithm.
*
* @param[in] handle The cuDNN handle.
* @param[in] wDesc Descriptor for the filter.
* @param[in] dyDesc Descriptor for the gradient output tensor.
* @param[in] convDesc The convolution descriptor.
* @param[in] dxDesc Descriptor for the gradient input tensor.
* @param[in] algo The backward data convolution algorithm.
* @param[out] sizeInBytes Pointer to receive the required workspace size.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
/* Helper function to return the minimum size of the workspace to be passed to the convolution given an algo*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnGetConvolutionBackwardDataWorkspaceSize(cudnnHandle_t handle,
const cudnnFilterDescriptor_t wDesc,
const cudnnTensorDescriptor_t dyDesc,
const cudnnConvolutionDescriptor_t convDesc,
const cudnnTensorDescriptor_t dxDesc,
cudnnConvolutionBwdDataAlgo_t algo,
size_t *sizeInBytes);
/**
* @brief Execute a backward data convolution (compute gradient with respect to input data).
*
* Computes: dx = alpha * dconv(w, dy) + beta * dx
*
* @param[in] handle The cuDNN handle.
* @param[in] alpha Pointer to scaling factor for the convolution result.
* @param[in] wDesc Descriptor for the filter.
* @param[in] w Pointer to filter data in device memory.
* @param[in] dyDesc Descriptor for the gradient output tensor.
* @param[in] dy Pointer to gradient output data in device memory.
* @param[in] convDesc The convolution descriptor.
* @param[in] algo The backward data convolution algorithm.
* @param[in] workSpace Pointer to workspace in device memory.
* @param[in] workSpaceSizeInBytes Size of the workspace in bytes.
* @param[in] beta Pointer to scaling factor for the prior gradient input.
* @param[in] dxDesc Descriptor for the gradient input tensor.
* @param[in,out] dx Pointer to gradient input data in device memory.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnConvolutionBackwardData(cudnnHandle_t handle,
const void *alpha,
const cudnnFilterDescriptor_t wDesc,
const void *w,
const cudnnTensorDescriptor_t dyDesc,
const void *dy,
const cudnnConvolutionDescriptor_t convDesc,
cudnnConvolutionBwdDataAlgo_t algo,
void *workSpace,
size_t workSpaceSizeInBytes,
const void *beta,
const cudnnTensorDescriptor_t dxDesc,
void *dx);
/**
* @brief Calculate folding descriptors for backward data convolution (dgrad).
*
* Computes the folded descriptors needed for tensor transform operations
* used in backward data gradient computation.
*
* @param[in] handle The cuDNN handle.
* @param[in] filterDesc Descriptor for the filter.
* @param[in] diffDesc Descriptor for the gradient output tensor.
* @param[in] convDesc The convolution descriptor.
* @param[in] gradDesc Descriptor for the gradient input tensor.
* @param[in] transformFormat The tensor format for the transform.
* @param[out] foldedFilterDesc Descriptor for the folded filter.
* @param[out] paddedDiffDesc Descriptor for the padded gradient output.
* @param[out] foldedConvDesc Descriptor for the folded convolution.
* @param[out] foldedGradDesc Descriptor for the folded gradient input.
* @param[out] filterFoldTransDesc Transform descriptor for filter folding.
* @param[out] diffPadTransDesc Transform descriptor for diff padding.
* @param[out] gradFoldTransDesc Transform descriptor for gradient folding.
* @param[out] gradUnfoldTransDesc Transform descriptor for gradient unfolding.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
/* Helper function to calculate folding descriptors for dgrad */
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnGetFoldedConvBackwardDataDescriptors(const cudnnHandle_t handle,
const cudnnFilterDescriptor_t filterDesc,
const cudnnTensorDescriptor_t diffDesc,
const cudnnConvolutionDescriptor_t convDesc,
const cudnnTensorDescriptor_t gradDesc,
const cudnnTensorFormat_t transformFormat,
cudnnFilterDescriptor_t foldedFilterDesc,
cudnnTensorDescriptor_t paddedDiffDesc,
cudnnConvolutionDescriptor_t foldedConvDesc,
cudnnTensorDescriptor_t foldedGradDesc,
cudnnTensorTransformDescriptor_t filterFoldTransDesc,
cudnnTensorTransformDescriptor_t diffPadTransDesc,
cudnnTensorTransformDescriptor_t gradFoldTransDesc,
cudnnTensorTransformDescriptor_t gradUnfoldTransDesc);
/* cudnnFusedOps... */
/**
* @brief Opaque descriptor for fused operations constant parameter pack.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
struct cudnnFusedOpsConstParamStruct;
/**
* @brief Handle to a fused operations constant parameter pack.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
typedef struct cudnnFusedOpsConstParamStruct *cudnnFusedOpsConstParamPack_t CUDNN_DEPRECATED;
/**
* @brief Opaque descriptor for fused operations variant parameter pack.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
struct cudnnFusedOpsVariantParamStruct;
/**
* @brief Handle to a fused operations variant parameter pack.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
typedef struct cudnnFusedOpsVariantParamStruct *cudnnFusedOpsVariantParamPack_t CUDNN_DEPRECATED;
/**
* @brief Opaque descriptor for a fused operations execution plan.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
struct cudnnFusedOpsPlanStruct;
/**
* @brief Handle to a fused operations execution plan.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
typedef struct cudnnFusedOpsPlanStruct *cudnnFusedOpsPlan_t CUDNN_DEPRECATED;
/**
* @brief Enumeration of fused operation sequences.
*
* Specifies which sequence of operations to fuse together for optimized execution.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
typedef enum {
/* each op in [ ] can be disabled by passing NULL ptr */
/* [per channel scale], [per channel bias], [activation], convolution, [generate BN stats] */
CUDNN_FUSED_SCALE_BIAS_ACTIVATION_CONV_BNSTATS = 0, /**< Fused scale, bias, activation, convolution, and optional BN stats generation. */
/* [per channel scale], [per channel bias], [activation], convolutionBackwardWeights */
CUDNN_FUSED_SCALE_BIAS_ACTIVATION_WGRAD = 1, /**< Fused scale, bias, activation, and backward weight convolution. */
/* utility for BN training in BN-conv fusion */
/* computes the equivalent scale and bias from ySum ySqSum and learned scale, bias */
/* optionally update running stats and generate saved stats */
CUDNN_FUSED_BN_FINALIZE_STATISTICS_TRAINING = 2, /**< Finalize batch normalization statistics for training. */
/* utility for BN inference in BN-conv fusion */
/* computes the equivalent scale and bias from learned running stats and learned scale, bias */
CUDNN_FUSED_BN_FINALIZE_STATISTICS_INFERENCE = 3, /**< Finalize batch normalization statistics for inference. */
/* reserved for future use: convolution, [per channel scale], [per channel bias], [residual add], [activation] */
CUDNN_FUSED_CONV_SCALE_BIAS_ADD_ACTIVATION = 4, /**< Fused convolution, scale, bias, residual add, and activation. */
/* reserved for future use: [per channel scale], [per channel bias], [residual add], activation, bitmask */
CUDNN_FUSED_SCALE_BIAS_ADD_ACTIVATION_GEN_BITMASK = 5, /**< Fused scale, bias, residual add, activation, and bitmask generation. */
/* reserved for future use */
CUDNN_FUSED_DACTIVATION_FORK_DBATCHNORM = 6, /**< Fused backward activation fork and backward batch normalization. */
} cudnnFusedOps_t CUDNN_DEPRECATED;
/**
* @brief Labels for constant parameters in a fused operations parameter pack.
*
* Used to identify which constant parameter to set or get in a
* cudnnFusedOpsConstParamPack_t.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
typedef enum {
/* set XDESC: pass previously initialized cudnnTensorDescriptor_t */
/* get XDESC: pass previously created cudnnTensorDescriptor_t */
CUDNN_PARAM_XDESC = 0, /**< Input tensor descriptor (X). */
/* set/get XDATA_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_XDATA_PLACEHOLDER = 1, /**< Placeholder for input data pointer alignment (X). */
/* set/get BN_MODE: pass cudnnBatchNormMode_t* */
CUDNN_PARAM_BN_MODE = 2, /**< Batch normalization mode. */
/* set CUDNN_PARAM_BN_EQSCALEBIAS_DESC: pass previously initialized cudnnTensorDescriptor_t */
/* get CUDNN_PARAM_BN_EQSCALEBIAS_DESC: pass previously created cudnnTensorDescriptor_t */
CUDNN_PARAM_BN_EQSCALEBIAS_DESC = 3, /**< Equivalent scale/bias descriptor for BN fusion. */
/* set/get BN_EQSCALE_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_BN_EQSCALE_PLACEHOLDER = 4, /**< Placeholder for BN equivalent scale pointer alignment. */
/* set/get BN_EQBIAS_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_BN_EQBIAS_PLACEHOLDER = 5, /**< Placeholder for BN equivalent bias pointer alignment. */
/* set ACTIVATION_DESC: pass previously initialized cudnnActivationDescriptor_t */
/* get ACTIVATION_DESC: pass previously created cudnnActivationDescriptor_t */
CUDNN_PARAM_ACTIVATION_DESC = 6, /**< Activation descriptor. */
/* set CONV_DESC: pass previously initialized cudnnConvolutionDescriptor_t */
/* get CONV_DESC: pass previously created cudnnConvolutionDescriptor_t */
CUDNN_PARAM_CONV_DESC = 7, /**< Convolution descriptor. */
/* set WDESC: pass previously initialized cudnnFilterDescriptor_t */
/* get WDESC: pass previously created cudnnFilterDescriptor_t */
CUDNN_PARAM_WDESC = 8, /**< Filter descriptor (W). */
/* set/get WDATA_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_WDATA_PLACEHOLDER = 9, /**< Placeholder for filter data pointer alignment (W). */
/* set DWDESC: pass previously initialized cudnnFilterDescriptor_t */
/* get DWDESC: pass previously created cudnnFilterDescriptor_t */
CUDNN_PARAM_DWDESC = 10, /**< Filter gradient descriptor (dW). */
/* set/get DWDATA_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_DWDATA_PLACEHOLDER = 11, /**< Placeholder for filter gradient data pointer alignment (dW). */
/* set YDESC: pass previously initialized cudnnTensorDescriptor_t */
/* get YDESC: pass previously created cudnnTensorDescriptor_t */
CUDNN_PARAM_YDESC = 12, /**< Output tensor descriptor (Y). */
/* set/get YDATA_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_YDATA_PLACEHOLDER = 13, /**< Placeholder for output data pointer alignment (Y). */
/* set DYDESC: pass previously initialized cudnnTensorDescriptor_t */
/* get DYDESC: pass previously created cudnnTensorDescriptor_t */
CUDNN_PARAM_DYDESC = 14, /**< Output gradient tensor descriptor (dY). */
/* set/get DYDATA_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_DYDATA_PLACEHOLDER = 15, /**< Placeholder for output gradient data pointer alignment (dY). */
/* set YSTATS_DESC: pass previously initialized cudnnTensorDescriptor_t */
/* get YSTATS_DESC: pass previously created cudnnTensorDescriptor_t */
CUDNN_PARAM_YSTATS_DESC = 16, /**< Output statistics tensor descriptor. */
/* set/get YSUM_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_YSUM_PLACEHOLDER = 17, /**< Placeholder for Y sum pointer alignment. */
/* set/get YSQSUM_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_YSQSUM_PLACEHOLDER = 18, /**< Placeholder for Y squared sum pointer alignment. */
/* set CUDNN_PARAM_BN_SCALEBIAS_MEANVAR_DESC: pass previously initialized cudnnTensorDescriptor_t */
/* get CUDNN_PARAM_BN_SCALEBIAS_MEANVAR_DESC: pass previously created cudnnTensorDescriptor_t */
CUDNN_PARAM_BN_SCALEBIAS_MEANVAR_DESC = 19, /**< BN scale/bias/mean/variance tensor descriptor. */
/* set/get CUDNN_PARAM_BN_SCALE_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_BN_SCALE_PLACEHOLDER = 20, /**< Placeholder for BN scale pointer alignment. */
/* set/get CUDNN_PARAM_BN_BIAS_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_BN_BIAS_PLACEHOLDER = 21, /**< Placeholder for BN bias pointer alignment. */
/* set/get CUDNN_PARAM_BN_SAVED_MEAN_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_BN_SAVED_MEAN_PLACEHOLDER = 22, /**< Placeholder for BN saved mean pointer alignment. */
/* set/get CUDNN_PARAM_BN_SAVED_INVSTD_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_BN_SAVED_INVSTD_PLACEHOLDER = 23, /**< Placeholder for BN saved inverse standard deviation pointer alignment. */
/* set/get CUDNN_PARAM_BN_RUNNING_MEAN_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_BN_RUNNING_MEAN_PLACEHOLDER = 24, /**< Placeholder for BN running mean pointer alignment. */
/* set/get CUDNN_PARAM_BN_RUNNING_VAR_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_BN_RUNNING_VAR_PLACEHOLDER = 25, /**< Placeholder for BN running variance pointer alignment. */
/* set ZDESC: pass previously initialized cudnnTensorDescriptor_t */
/* get ZDESC: pass previously created cudnnTensorDescriptor_t */
CUDNN_PARAM_ZDESC = 26, /**< Residual input tensor descriptor (Z). */
/* set/get ZDATA_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_ZDATA_PLACEHOLDER = 27, /**< Placeholder for residual input data pointer alignment (Z). */
/* set BN_Z_EQSCALEBIAS_DESC: pass previously initialized cudnnTensorDescriptor_t */
/* get BN_Z_EQSCALEBIAS_DESC: pass previously created cudnnTensorDescriptor_t */
CUDNN_PARAM_BN_Z_EQSCALEBIAS_DESC = 28, /**< BN equivalent scale/bias descriptor for Z branch. */
/* set/get BN_Z_EQSCALE_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_BN_Z_EQSCALE_PLACEHOLDER = 29, /**< Placeholder for BN Z-branch equivalent scale pointer alignment. */
/* set/get BN_Z_EQBIAS_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_BN_Z_EQBIAS_PLACEHOLDER = 30, /**< Placeholder for BN Z-branch equivalent bias pointer alignment. */
/* set ACTIVATION_BITMASK_DESC: pass previously initialized cudnnTensorDescriptor_t */
/* get ACTIVATION_BITMASK_DESC: pass previously created cudnnTensorDescriptor_t */
CUDNN_PARAM_ACTIVATION_BITMASK_DESC = 31, /**< Activation bitmask tensor descriptor. */
/* set/get ACTIVATION_BITMASK_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_ACTIVATION_BITMASK_PLACEHOLDER = 32, /**< Placeholder for activation bitmask pointer alignment. */
/* set DXDESC: pass previously initialized cudnnTensorDescriptor_t */
/* get DXDESC: pass previously created cudnnTensorDescriptor_t */
CUDNN_PARAM_DXDESC = 33, /**< Input gradient tensor descriptor (dX). */
/* set/get DXDATA_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_DXDATA_PLACEHOLDER = 34, /**< Placeholder for input gradient data pointer alignment (dX). */
/* set DZDESC: pass previously initialized cudnnTensorDescriptor_t */
/* get DZDESC: pass previously created cudnnTensorDescriptor_t */
CUDNN_PARAM_DZDESC = 35, /**< Residual input gradient tensor descriptor (dZ). */
/* set/get DZDATA_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_DZDATA_PLACEHOLDER = 36, /**< Placeholder for residual input gradient data pointer alignment (dZ). */
/* set/get CUDNN_PARAM_BN_DSCALE_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_BN_DSCALE_PLACEHOLDER = 37, /**< Placeholder for BN scale gradient pointer alignment. */
/* set/get CUDNN_PARAM_BN_DBIAS_PLACEHOLDER: pass cudnnFusedOpsPointerPlaceHolder_t* */
CUDNN_PARAM_BN_DBIAS_PLACEHOLDER = 38, /**< Placeholder for BN bias gradient pointer alignment. */
} cudnnFusedOpsConstParamLabel_t CUDNN_DEPRECATED;
/**
* @brief Pointer alignment modes for fused operations.
*
* Specifies the alignment guarantee of pointers passed to fused operations,
* allowing the runtime to select optimized code paths.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
typedef enum {
CUDNN_PTR_NULL = 0, /**< Null pointer (parameter disabled). */
CUDNN_PTR_ELEM_ALIGNED = 1, /**< Pointer is element-aligned. */
CUDNN_PTR_16B_ALIGNED = 2, /**< Pointer is 16-byte aligned. */
} cudnnFusedOpsPointerPlaceHolder_t CUDNN_DEPRECATED;
/**
* @brief Labels for variant (per-execution) parameters in a fused operations parameter pack.
*
* Used to identify which variant parameter to set or get in a
* cudnnFusedOpsVariantParamPack_t. These include device memory pointers
* and scalar host-side values.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
typedef enum {
/* set: pass void* pointing to dev memory */
/* get: pass void** pointing to host memory */
CUDNN_PTR_XDATA = 0, /**< Pointer to input data (X) in device memory. */
CUDNN_PTR_BN_EQSCALE = 1, /**< Pointer to BN equivalent scale in device memory. */
CUDNN_PTR_BN_EQBIAS = 2, /**< Pointer to BN equivalent bias in device memory. */
CUDNN_PTR_WDATA = 3, /**< Pointer to filter data (W) in device memory. */
CUDNN_PTR_DWDATA = 4, /**< Pointer to filter gradient data (dW) in device memory. */
CUDNN_PTR_YDATA = 5, /**< Pointer to output data (Y) in device memory. */
CUDNN_PTR_DYDATA = 6, /**< Pointer to output gradient data (dY) in device memory. */
CUDNN_PTR_YSUM = 7, /**< Pointer to Y sum accumulator in device memory. */
CUDNN_PTR_YSQSUM = 8, /**< Pointer to Y squared sum accumulator in device memory. */
CUDNN_PTR_WORKSPACE = 9, /**< Pointer to workspace in device memory. */
CUDNN_PTR_BN_SCALE = 10, /**< Pointer to BN scale in device memory. */
CUDNN_PTR_BN_BIAS = 11, /**< Pointer to BN bias in device memory. */
CUDNN_PTR_BN_SAVED_MEAN = 12, /**< Pointer to BN saved mean in device memory. */
CUDNN_PTR_BN_SAVED_INVSTD = 13, /**< Pointer to BN saved inverse standard deviation in device memory. */
CUDNN_PTR_BN_RUNNING_MEAN = 14, /**< Pointer to BN running mean in device memory. */
CUDNN_PTR_BN_RUNNING_VAR = 15, /**< Pointer to BN running variance in device memory. */
CUDNN_PTR_ZDATA = 16, /**< Pointer to residual input data (Z) in device memory. */
CUDNN_PTR_BN_Z_EQSCALE = 17, /**< Pointer to BN Z-branch equivalent scale in device memory. */
CUDNN_PTR_BN_Z_EQBIAS = 18, /**< Pointer to BN Z-branch equivalent bias in device memory. */
CUDNN_PTR_ACTIVATION_BITMASK = 19, /**< Pointer to activation bitmask in device memory. */
CUDNN_PTR_DXDATA = 20, /**< Pointer to input gradient data (dX) in device memory. */
CUDNN_PTR_DZDATA = 21, /**< Pointer to residual input gradient data (dZ) in device memory. */
CUDNN_PTR_BN_DSCALE = 22, /**< Pointer to BN scale gradient in device memory. */
CUDNN_PTR_BN_DBIAS = 23, /**< Pointer to BN bias gradient in device memory. */
/* set/get: pass size_t* pointing to host memory */
CUDNN_SCALAR_SIZE_T_WORKSPACE_SIZE_IN_BYTES = 100, /**< Workspace size in bytes (host, size_t). */
/* set/get: pass int64_t* pointing to host memory */
CUDNN_SCALAR_INT64_T_BN_ACCUMULATION_COUNT = 101, /**< BN accumulation count (host, int64_t). */
/* set/get: pass double* pointing to host memory */
CUDNN_SCALAR_DOUBLE_BN_EXP_AVG_FACTOR = 102, /**< BN exponential average factor (host, double). */
/* set/get: pass double* pointing to host memory */
CUDNN_SCALAR_DOUBLE_BN_EPSILON = 103, /**< BN epsilon value (host, double). */
} cudnnFusedOpsVariantParamLabel_t CUDNN_DEPRECATED;
/**
* @brief Check the version of the cuDNN CNN library.
*
* Verifies that the CNN sub-library version matches the core cuDNN version.
*
* @return cudnnStatus_t indicating success or version mismatch.
*
* @since cuDNN 9.0.0
*/
cudnnStatus_t CUDNNWINAPI
cudnnCnnVersionCheck(void);
/* helper function to provide the convolution backward filter algo that fit best the requirement */
/**
* @brief Performance results for backward filter convolution algorithm selection.
*
* Contains timing, memory usage, and determinism information for a given
* backward filter convolution algorithm. Returned by algorithm search functions.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
typedef struct cudnnConvolutionBwdFilterAlgoPerfStruct {
cudnnConvolutionBwdFilterAlgo_t algo; /**< The backward filter convolution algorithm. */
cudnnStatus_t status; /**< Status returned when running this algorithm. */
float time; /**< Execution time in milliseconds. */
size_t memory; /**< Workspace memory required in bytes. */
cudnnDeterminism_t determinism; /**< Whether the algorithm is deterministic. */
cudnnMathType_t mathType; /**< Math type used by the algorithm. */
int reserved[3]; /**< Reserved for future use. */
} cudnnConvolutionBwdFilterAlgoPerf_t CUDNN_DEPRECATED;
/**
* @brief Get the maximum number of backward filter convolution algorithms available.
*
* @param[in] handle The cuDNN handle.
* @param[out] count Pointer to receive the maximum algorithm count.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnGetConvolutionBackwardFilterAlgorithmMaxCount(cudnnHandle_t handle, int *count);
/**
* @brief Find the best backward filter convolution algorithm by running benchmarks.
*
* @param[in] handle The cuDNN handle.
* @param[in] xDesc Descriptor for the input tensor.
* @param[in] dyDesc Descriptor for the gradient output tensor.
* @param[in] convDesc The convolution descriptor.
* @param[in] dwDesc Descriptor for the filter gradient.
* @param[in] requestedAlgoCount Maximum number of algorithms to test.
* @param[out] returnedAlgoCount Pointer to receive the actual number returned.
* @param[out] perfResults Array to receive the algorithm performance results.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED 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);
/**
* @brief Find the best backward filter convolution algorithm with user-provided buffers.
*
* @param[in] handle The cuDNN handle.
* @param[in] xDesc Descriptor for the input tensor.
* @param[in] x Pointer to input data in device memory.
* @param[in] dyDesc Descriptor for the gradient output tensor.
* @param[in] y Pointer to gradient output data in device memory.
* @param[in] convDesc The convolution descriptor.
* @param[in] dwDesc Descriptor for the filter gradient.
* @param[out] dw Pointer to filter gradient data in device memory.
* @param[in] requestedAlgoCount Maximum number of algorithms to test.
* @param[out] returnedAlgoCount Pointer to receive the actual number returned.
* @param[out] perfResults Array to receive the algorithm performance results.
* @param[in] workSpace Pointer to workspace in device memory.
* @param[in] workSpaceSizeInBytes Size of the workspace in bytes.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED 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);
/**
* @brief Get backward filter convolution algorithm recommendations without executing them.
*
* @param[in] handle The cuDNN handle.
* @param[in] srcDesc Descriptor for the input tensor.
* @param[in] diffDesc Descriptor for the gradient output tensor.
* @param[in] convDesc The convolution descriptor.
* @param[in] gradDesc Descriptor for the filter gradient.
* @param[in] requestedAlgoCount Maximum number of algorithms to return.
* @param[out] returnedAlgoCount Pointer to receive the actual number returned.
* @param[out] perfResults Array to receive the algorithm performance results.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED 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)
*/
/**
* @brief Get the minimum workspace size required for a backward filter convolution algorithm.
*
* @param[in] handle The cuDNN handle.
* @param[in] xDesc Descriptor for the input tensor.
* @param[in] dyDesc Descriptor for the gradient output tensor.
* @param[in] convDesc The convolution descriptor.
* @param[in] gradDesc Descriptor for the filter gradient.
* @param[in] algo The backward filter convolution algorithm.
* @param[out] sizeInBytes Pointer to receive the required workspace size.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
/* Helper function to return the minimum size of the workspace to be passed to the convolution given an algo*/
CUDNN_DEPRECATED 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);
/**
* @brief Execute a backward filter convolution (compute gradient with respect to filter weights).
*
* Computes: dw = alpha * dconv(x, dy) + beta * dw
*
* @param[in] handle The cuDNN handle.
* @param[in] alpha Pointer to scaling factor for the convolution result.
* @param[in] xDesc Descriptor for the input tensor.
* @param[in] x Pointer to input data in device memory.
* @param[in] dyDesc Descriptor for the gradient output tensor.
* @param[in] dy Pointer to gradient output data in device memory.
* @param[in] convDesc The convolution descriptor.
* @param[in] algo The backward filter convolution algorithm.
* @param[in] workSpace Pointer to workspace in device memory.
* @param[in] workSpaceSizeInBytes Size of the workspace in bytes.
* @param[in] beta Pointer to scaling factor for the prior filter gradient.
* @param[in] dwDesc Descriptor for the filter gradient.
* @param[in,out] dw Pointer to filter gradient data in device memory.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED 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);
/**
* @brief Compute the bias gradient for batch convolution.
*
* Computes: db = alpha * sum(dy) + beta * db, where the sum is over spatial dimensions and batch.
*
* @param[in] handle The cuDNN handle.
* @param[in] alpha Pointer to scaling factor for the bias gradient result.
* @param[in] dyDesc Descriptor for the gradient output tensor.
* @param[in] dy Pointer to gradient output data in device memory.
* @param[in] beta Pointer to scaling factor for the prior bias gradient.
* @param[in] dbDesc Descriptor for the bias gradient tensor.
* @param[in,out] db Pointer to bias gradient data in device memory.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
/* Function to compute the bias gradient for batch convolution */
CUDNN_DEPRECATED 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);
/**
* @brief Create a fused operations constant parameter pack.
*
* @param[out] constPack Pointer to receive the newly created constant parameter pack.
* @param[in] ops The fused operation type.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnCreateFusedOpsConstParamPack(cudnnFusedOpsConstParamPack_t *constPack, cudnnFusedOps_t ops);
/**
* @brief Destroy a fused operations constant parameter pack.
*
* @param[in] constPack The constant parameter pack to destroy.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnDestroyFusedOpsConstParamPack(cudnnFusedOpsConstParamPack_t constPack);
/**
* @brief Set an attribute on a fused operations constant parameter pack.
*
* @param[in,out] constPack The constant parameter pack.
* @param[in] paramLabel The label identifying which parameter to set.
* @param[in] param Pointer to the parameter value.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnSetFusedOpsConstParamPackAttribute(cudnnFusedOpsConstParamPack_t constPack,
cudnnFusedOpsConstParamLabel_t paramLabel,
const void *param);
/**
* @brief Get an attribute from a fused operations constant parameter pack.
*
* @param[in] constPack The constant parameter pack.
* @param[in] paramLabel The label identifying which parameter to get.
* @param[out] param Pointer to receive the parameter value.
* @param[out] isNULL Pointer to receive whether the parameter is NULL.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnGetFusedOpsConstParamPackAttribute(const cudnnFusedOpsConstParamPack_t constPack,
cudnnFusedOpsConstParamLabel_t paramLabel,
void *param,
int *isNULL);
/**
* @brief Create a fused operations variant parameter pack.
*
* @param[out] varPack Pointer to receive the newly created variant parameter pack.
* @param[in] ops The fused operation type.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnCreateFusedOpsVariantParamPack(cudnnFusedOpsVariantParamPack_t *varPack, cudnnFusedOps_t ops);
/**
* @brief Destroy a fused operations variant parameter pack.
*
* @param[in] varPack The variant parameter pack to destroy.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnDestroyFusedOpsVariantParamPack(cudnnFusedOpsVariantParamPack_t varPack);
/**
* @brief Set an attribute on a fused operations variant parameter pack.
*
* @param[in,out] varPack The variant parameter pack.
* @param[in] paramLabel The label identifying which parameter to set.
* @param[in] ptr Pointer to the parameter value.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnSetFusedOpsVariantParamPackAttribute(cudnnFusedOpsVariantParamPack_t varPack,
cudnnFusedOpsVariantParamLabel_t paramLabel,
void *ptr);
/**
* @brief Get an attribute from a fused operations variant parameter pack.
*
* @param[in] varPack The variant parameter pack.
* @param[in] paramLabel The label identifying which parameter to get.
* @param[out] ptr Pointer to receive the parameter value.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnGetFusedOpsVariantParamPackAttribute(const cudnnFusedOpsVariantParamPack_t varPack,
cudnnFusedOpsVariantParamLabel_t paramLabel,
void *ptr);
/**
* @brief Create a fused operations execution plan.
*
* @param[out] plan Pointer to receive the newly created fused operations plan.
* @param[in] ops The fused operation type.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnCreateFusedOpsPlan(cudnnFusedOpsPlan_t *plan, cudnnFusedOps_t ops);
/**
* @brief Destroy a fused operations execution plan.
*
* @param[in] plan The fused operations plan to destroy.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnDestroyFusedOpsPlan(cudnnFusedOpsPlan_t plan);
/**
* @brief Build a fused operations execution plan from constant parameters.
*
* Compiles the plan and returns the required workspace size.
*
* @param[in] handle The cuDNN handle.
* @param[in,out] plan The fused operations plan to build.
* @param[in] constPack The constant parameter pack with descriptors.
* @param[out] workspaceSizeInBytes Pointer to receive the required workspace size.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnMakeFusedOpsPlan(cudnnHandle_t handle,
cudnnFusedOpsPlan_t plan,
const cudnnFusedOpsConstParamPack_t constPack,
size_t *workspaceSizeInBytes);
/**
* @brief Execute a fused operations plan.
*
* @param[in] handle The cuDNN handle.
* @param[in] plan The fused operations plan to execute.
* @param[in] varPack The variant parameter pack with data pointers and scalar values.
* @return cudnnStatus_t indicating success or failure.
*
* @deprecated Since cuDNN 9.0.0. Use graph API instead.
* @since cuDNN 9.0.0
*/
CUDNN_DEPRECATED cudnnStatus_t CUDNNWINAPI
cudnnFusedOpsExecute(cudnnHandle_t handle, const cudnnFusedOpsPlan_t plan, cudnnFusedOpsVariantParamPack_t varPack);
#if defined(__cplusplus)
}
#endif
#endif /* CUDNN_CNN_H_ */
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