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local ffi = require 'ffi'
ffi.cdef[[
struct cudnnContext;
typedef struct cudnnContext *cudnnHandle_t;
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;
typedef struct CUstream_st *cudaStream_t;
cudnnStatus_t cudnnCreate(cudnnHandle_t *handle);
cudnnStatus_t cudnnDestroy(cudnnHandle_t handle);
typedef struct cudnnTensor4dStruct* cudnnTensor4dDescriptor_t;
typedef struct cudnnConvolutionStruct* cudnnConvolutionDescriptor_t;
typedef struct cudnnPoolingStruct* cudnnPoolingDescriptor_t;
typedef struct cudnnFilterStruct* cudnnFilterDescriptor_t;
typedef enum
{
CUDNN_DATA_FLOAT = 0,
CUDNN_DATA_DOUBLE = 1
} cudnnDataType_t;
cudnnStatus_t cudnnCreateTensor4dDescriptor( cudnnTensor4dDescriptor_t *tensorDesc );
cudnnStatus_t cudnnSetTensor4dDescriptorEx( cudnnTensor4dDescriptor_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 cudnnDestroyTensor4dDescriptor( cudnnTensor4dDescriptor_t tensorDesc );
typedef enum
{
CUDNN_ADD_IMAGE = 0,
CUDNN_ADD_SAME_HW = 0,
CUDNN_ADD_FEATURE_MAP = 1,
CUDNN_ADD_SAME_CHW = 1,
CUDNN_ADD_SAME_C = 2,
CUDNN_ADD_FULL_TENSOR = 3
} cudnnAddMode_t;
cudnnStatus_t cudnnAddTensor4d( cudnnHandle_t handle,
cudnnAddMode_t mode,
const void *alpha,
cudnnTensor4dDescriptor_t biasDesc,
const void *biasData,
cudnnTensor4dDescriptor_t srcDestDesc,
void *srcDestData
);
typedef enum
{
CUDNN_CONVOLUTION = 0,
CUDNN_CROSS_CORRELATION = 1
} cudnnConvolutionMode_t;
typedef enum
{
CUDNN_CONVOLUTION_FWD = 0, /* Tensor Convolution function */
CUDNN_CONVOLUTION_WEIGHT_GRAD = 1, /* Weight Gradient update function */
CUDNN_CONVOLUTION_DATA_GRAD = 2 /* Data Gradient update function */
} cudnnConvolutionPath_t;
cudnnStatus_t cudnnCreateFilterDescriptor( cudnnFilterDescriptor_t *filterDesc );
cudnnStatus_t cudnnSetFilterDescriptor( cudnnFilterDescriptor_t filterDesc,
cudnnDataType_t dataType, // image data type
int k, // number of output feature maps
int c, // number of input feature maps
int h, // height of each input filter
int w // width of each input fitler
);
cudnnStatus_t cudnnDestroyFilterDescriptor( cudnnFilterDescriptor_t filterDesc );
cudnnStatus_t cudnnCreateConvolutionDescriptor( cudnnConvolutionDescriptor_t *convDesc );
cudnnStatus_t cudnnSetConvolutionDescriptor( cudnnConvolutionDescriptor_t convDesc,
cudnnTensor4dDescriptor_t inputTensorDesc,
cudnnFilterDescriptor_t filterDesc,
int pad_h, // zero-padding height
int pad_w, // zero-padding width
int u, // vertical filter stride
int v, // horizontal filter stride
int upscalex, // upscale the input in x-direction
int upscaley, // upscale the input in y-direction
cudnnConvolutionMode_t mode
);
cudnnStatus_t cudnnGetOutputTensor4dDim( const cudnnConvolutionDescriptor_t convDesc,
cudnnConvolutionPath_t path,
int *n,
int *c,
int *h,
int *w
);
cudnnStatus_t cudnnDestroyConvolutionDescriptor( cudnnConvolutionDescriptor_t convDesc );
typedef enum
{
CUDNN_RESULT_ACCUMULATE = 0, /* Evaluate O += I * F */
CUDNN_RESULT_NO_ACCUMULATE = 1 /* Evaluate O = I * F */
} cudnnAccumulateResult_t;
cudnnStatus_t cudnnConvolutionForward( cudnnHandle_t handle,
cudnnTensor4dDescriptor_t srcDesc,
const void *srcData,
cudnnFilterDescriptor_t filterDesc,
const void *filterData,
cudnnConvolutionDescriptor_t convDesc,
cudnnTensor4dDescriptor_t destDesc,
void *destData,
cudnnAccumulateResult_t accumulate
);
cudnnStatus_t cudnnConvolutionBackwardBias( cudnnHandle_t handle,
cudnnTensor4dDescriptor_t srcDesc,
const void *srcData,
cudnnTensor4dDescriptor_t destDesc,
void *destData,
cudnnAccumulateResult_t accumulate
);
cudnnStatus_t cudnnConvolutionBackwardFilter( cudnnHandle_t handle,
cudnnTensor4dDescriptor_t srcDesc,
const void *srcData,
cudnnTensor4dDescriptor_t diffDesc,
const void *diffData,
cudnnConvolutionDescriptor_t convDesc,
cudnnFilterDescriptor_t gradDesc,
void *gradData,
cudnnAccumulateResult_t accumulate
);
cudnnStatus_t cudnnConvolutionBackwardData( cudnnHandle_t handle,
cudnnFilterDescriptor_t filterDesc,
const void *filterData,
cudnnTensor4dDescriptor_t diffDesc,
const void *diffData,
cudnnConvolutionDescriptor_t convDesc,
cudnnTensor4dDescriptor_t gradDesc,
void *gradData,
cudnnAccumulateResult_t accumulate
);
typedef enum
{
CUDNN_POOLING_MAX = 0,
CUDNN_POOLING_AVERAGE = 1
} cudnnPoolingMode_t;
cudnnStatus_t cudnnCreatePoolingDescriptor( cudnnPoolingDescriptor_t *poolingDesc);
cudnnStatus_t cudnnSetPoolingDescriptor( cudnnPoolingDescriptor_t poolingDesc,
cudnnPoolingMode_t mode,
int windowHeight,
int windowWidth,
int verticalStride,
int horizontalStride
);
cudnnStatus_t cudnnGetPoolingDescriptor( const cudnnPoolingDescriptor_t poolingDesc,
cudnnPoolingMode_t *mode,
int *windowHeight,
int *windowWidth,
int *verticalStride,
int *horizontalStride
);
cudnnStatus_t cudnnDestroyPoolingDescriptor( cudnnPoolingDescriptor_t poolingDesc );
cudnnStatus_t cudnnPoolingForward( cudnnHandle_t handle,
cudnnPoolingDescriptor_t poolingDesc,
cudnnTensor4dDescriptor_t srcDesc,
const void *srcData,
cudnnTensor4dDescriptor_t destDesc,
void *destData
);
cudnnStatus_t cudnnPoolingBackward( cudnnHandle_t handle,
cudnnPoolingDescriptor_t poolingDesc,
cudnnTensor4dDescriptor_t srcDesc,
const void *srcData,
cudnnTensor4dDescriptor_t srcDiffDesc,
const void *srcDiffData,
cudnnTensor4dDescriptor_t destDesc,
const void *destData,
cudnnTensor4dDescriptor_t destDiffDesc,
void *destDiffData
);
typedef enum
{
CUDNN_ACTIVATION_SIGMOID = 0,
CUDNN_ACTIVATION_RELU = 1,
CUDNN_ACTIVATION_TANH = 2
} cudnnActivationMode_t;
cudnnStatus_t cudnnActivationForward( cudnnHandle_t handle,
cudnnActivationMode_t mode,
cudnnTensor4dDescriptor_t srcDesc,
const void *srcData,
cudnnTensor4dDescriptor_t destDesc,
void *destData
);
cudnnStatus_t cudnnActivationBackward( cudnnHandle_t handle,
cudnnActivationMode_t mode,
cudnnTensor4dDescriptor_t srcDesc,
const void *srcData,
cudnnTensor4dDescriptor_t srcDiffDesc,
const void *srcDiffData,
cudnnTensor4dDescriptor_t destDesc,
const void *destData,
cudnnTensor4dDescriptor_t destDiffDesc,
void *destDiffData
);
typedef enum
{
CUDNN_SOFTMAX_FAST = 0, CUDNN_SOFTMAX_ACCURATE = 1
} cudnnSoftmaxAlgorithm_t;
typedef enum
{
CUDNN_SOFTMAX_MODE_INSTANCE = 0, CUDNN_SOFTMAX_MODE_CHANNEL = 1
} cudnnSoftmaxMode_t;
cudnnStatus_t cudnnSoftmaxForward( cudnnHandle_t handle,
cudnnSoftmaxAlgorithm_t algorithm,
cudnnSoftmaxMode_t mode,
cudnnTensor4dDescriptor_t srcDesc,
const void *srcData,
cudnnTensor4dDescriptor_t destDesc,
void *destData
);
cudnnStatus_t cudnnSoftmaxBackward( cudnnHandle_t handle,
cudnnSoftmaxAlgorithm_t algorithm,
cudnnSoftmaxMode_t mode,
cudnnTensor4dDescriptor_t srcDesc,
const void *srcData,
cudnnTensor4dDescriptor_t srcDiffDesc,
const void *srcDiffData,
cudnnTensor4dDescriptor_t destDiffDesc,
void *destDiffData
);
]]
local ok
ok = pcall(function() cudnn.C = ffi.load('libcudnn') end)
if not ok then
error([['libcudnn.so not found in library path.
Please install CuDNN from https://developer.nvidia.com/cuDNN
Then make sure all the files named as libcudnn.so* are placed in your library load path (for example /usr/local/lib , or manually add a path to LD_LIBRARY_PATH)
]])
end
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