- CUDNN_ACTIVATION_CLIPPED_RELU - Static variable in class jcuda.jcudnn.cudnnActivationMode
-
- CUDNN_ACTIVATION_RELU - Static variable in class jcuda.jcudnn.cudnnActivationMode
-
- CUDNN_ACTIVATION_SIGMOID - Static variable in class jcuda.jcudnn.cudnnActivationMode
-
- CUDNN_ACTIVATION_TANH - Static variable in class jcuda.jcudnn.cudnnActivationMode
-
- CUDNN_ADD_FEATURE_MAP - Static variable in class jcuda.jcudnn.cudnnAddMode
-
add a set of feature maps to a batch of inputs : tensorBias has n=1 , same nb feature than Src/dest
- CUDNN_ADD_FULL_TENSOR - Static variable in class jcuda.jcudnn.cudnnAddMode
-
add 2 tensors with same n,c,h,w
- CUDNN_ADD_IMAGE - Static variable in class jcuda.jcudnn.cudnnAddMode
-
add one image to every feature maps of each input
- CUDNN_ADD_SAME_C - Static variable in class jcuda.jcudnn.cudnnAddMode
-
add a tensor of size 1,c,1,1 to every corresponding point of n,c,h,w input
- CUDNN_ADD_SAME_CHW - Static variable in class jcuda.jcudnn.cudnnAddMode
-
- CUDNN_ADD_SAME_HW - Static variable in class jcuda.jcudnn.cudnnAddMode
-
- CUDNN_BATCHNORM_PER_ACTIVATION - Static variable in class jcuda.jcudnn.cudnnBatchNormMode
-
bnScale, bnBias tensor dims are 1xCxHxWx..
- CUDNN_BATCHNORM_SPATIAL - Static variable in class jcuda.jcudnn.cudnnBatchNormMode
-
bnScale, bnBias tensor dims are 1xCx1x1 (one value per C-dim normalized
over Nx1xHxW subtensors)
- CUDNN_BN_MIN_EPSILON - Static variable in class jcuda.jcudnn.JCudnn
-
Minimum epsilon allowed to be used in the Batch Normalization formula
- CUDNN_CONVOLUTION - Static variable in class jcuda.jcudnn.cudnnConvolutionMode
-
- CUDNN_CONVOLUTION_BWD_DATA_ALGO_0 - Static variable in class jcuda.jcudnn.cudnnConvolutionBwdDataAlgo
-
non-deterministic
- CUDNN_CONVOLUTION_BWD_DATA_ALGO_1 - Static variable in class jcuda.jcudnn.cudnnConvolutionBwdDataAlgo
-
- CUDNN_CONVOLUTION_BWD_DATA_ALGO_FFT - Static variable in class jcuda.jcudnn.cudnnConvolutionBwdDataAlgo
-
- CUDNN_CONVOLUTION_BWD_DATA_ALGO_FFT_TILING - Static variable in class jcuda.jcudnn.cudnnConvolutionBwdDataAlgo
-
- CUDNN_CONVOLUTION_BWD_DATA_NO_WORKSPACE - Static variable in class jcuda.jcudnn.cudnnConvolutionBwdDataPreference
-
- CUDNN_CONVOLUTION_BWD_DATA_PREFER_FASTEST - Static variable in class jcuda.jcudnn.cudnnConvolutionBwdDataPreference
-
- CUDNN_CONVOLUTION_BWD_DATA_SPECIFY_WORKSPACE_LIMIT - Static variable in class jcuda.jcudnn.cudnnConvolutionBwdDataPreference
-
- CUDNN_CONVOLUTION_BWD_FILTER_ALGO_0 - Static variable in class jcuda.jcudnn.cudnnConvolutionBwdFilterAlgo
-
non-deterministic
- CUDNN_CONVOLUTION_BWD_FILTER_ALGO_1 - Static variable in class jcuda.jcudnn.cudnnConvolutionBwdFilterAlgo
-
- CUDNN_CONVOLUTION_BWD_FILTER_ALGO_3 - Static variable in class jcuda.jcudnn.cudnnConvolutionBwdFilterAlgo
-
non-deterministic, algo0 with workspace
- CUDNN_CONVOLUTION_BWD_FILTER_ALGO_FFT - Static variable in class jcuda.jcudnn.cudnnConvolutionBwdFilterAlgo
-
- CUDNN_CONVOLUTION_BWD_FILTER_NO_WORKSPACE - Static variable in class jcuda.jcudnn.cudnnConvolutionBwdFilterPreference
-
- CUDNN_CONVOLUTION_BWD_FILTER_PREFER_FASTEST - Static variable in class jcuda.jcudnn.cudnnConvolutionBwdFilterPreference
-
- CUDNN_CONVOLUTION_BWD_FILTER_SPECIFY_WORKSPACE_LIMIT - Static variable in class jcuda.jcudnn.cudnnConvolutionBwdFilterPreference
-
- CUDNN_CONVOLUTION_FWD_ALGO_DIRECT - Static variable in class jcuda.jcudnn.cudnnConvolutionFwdAlgo
-
- CUDNN_CONVOLUTION_FWD_ALGO_FFT - Static variable in class jcuda.jcudnn.cudnnConvolutionFwdAlgo
-
- CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING - Static variable in class jcuda.jcudnn.cudnnConvolutionFwdAlgo
-
- CUDNN_CONVOLUTION_FWD_ALGO_GEMM - Static variable in class jcuda.jcudnn.cudnnConvolutionFwdAlgo
-
- CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM - Static variable in class jcuda.jcudnn.cudnnConvolutionFwdAlgo
-
- CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM - Static variable in class jcuda.jcudnn.cudnnConvolutionFwdAlgo
-
- CUDNN_CONVOLUTION_FWD_NO_WORKSPACE - Static variable in class jcuda.jcudnn.cudnnConvolutionFwdPreference
-
- CUDNN_CONVOLUTION_FWD_PREFER_FASTEST - Static variable in class jcuda.jcudnn.cudnnConvolutionFwdPreference
-
- CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT - Static variable in class jcuda.jcudnn.cudnnConvolutionFwdPreference
-
- CUDNN_CROSS_CORRELATION - Static variable in class jcuda.jcudnn.cudnnConvolutionMode
-
- CUDNN_DATA_DOUBLE - Static variable in class jcuda.jcudnn.cudnnDataType
-
- CUDNN_DATA_FLOAT - Static variable in class jcuda.jcudnn.cudnnDataType
-
- CUDNN_DATA_HALF - Static variable in class jcuda.jcudnn.cudnnDataType
-
- CUDNN_DIM_MAX - Static variable in class jcuda.jcudnn.JCudnn
-
Maximum supported number of tensor dimensions
- CUDNN_DIVNORM_PRECOMPUTED_MEANS - Static variable in class jcuda.jcudnn.cudnnDivNormMode
-
- CUDNN_LRN_CROSS_CHANNEL_DIM1 - Static variable in class jcuda.jcudnn.cudnnLRNMode
-
- CUDNN_MAJOR - Static variable in class jcuda.jcudnn.JCudnn
-
- CUDNN_MINOR - Static variable in class jcuda.jcudnn.JCudnn
-
- CUDNN_NOT_PROPAGATE_NAN - Static variable in class jcuda.jcudnn.cudnnNanPropagation
-
- CUDNN_PATCHLEVEL - Static variable in class jcuda.jcudnn.JCudnn
-
- CUDNN_POOLING_AVERAGE_COUNT_EXCLUDE_PADDING - Static variable in class jcuda.jcudnn.cudnnPoolingMode
-
count for average does not include padded values
- CUDNN_POOLING_AVERAGE_COUNT_INCLUDE_PADDING - Static variable in class jcuda.jcudnn.cudnnPoolingMode
-
count for average includes padded values
- CUDNN_POOLING_MAX - Static variable in class jcuda.jcudnn.cudnnPoolingMode
-
- CUDNN_PROPAGATE_NAN - Static variable in class jcuda.jcudnn.cudnnNanPropagation
-
- CUDNN_SOFTMAX_ACCURATE - Static variable in class jcuda.jcudnn.cudnnSoftmaxAlgorithm
-
subtract max from every point to avoid overflow
- CUDNN_SOFTMAX_FAST - Static variable in class jcuda.jcudnn.cudnnSoftmaxAlgorithm
-
straightforward implementation
- CUDNN_SOFTMAX_LOG - Static variable in class jcuda.jcudnn.cudnnSoftmaxAlgorithm
-
- CUDNN_SOFTMAX_MODE_CHANNEL - Static variable in class jcuda.jcudnn.cudnnSoftmaxMode
-
compute the softmax over all C for each H, W, N
- CUDNN_SOFTMAX_MODE_INSTANCE - Static variable in class jcuda.jcudnn.cudnnSoftmaxMode
-
compute the softmax over all C, H, W for each N
- CUDNN_STATUS_ALLOC_FAILED - Static variable in class jcuda.jcudnn.cudnnStatus
-
- CUDNN_STATUS_ARCH_MISMATCH - Static variable in class jcuda.jcudnn.cudnnStatus
-
- CUDNN_STATUS_BAD_PARAM - Static variable in class jcuda.jcudnn.cudnnStatus
-
- CUDNN_STATUS_EXECUTION_FAILED - Static variable in class jcuda.jcudnn.cudnnStatus
-
- CUDNN_STATUS_INTERNAL_ERROR - Static variable in class jcuda.jcudnn.cudnnStatus
-
- CUDNN_STATUS_INVALID_VALUE - Static variable in class jcuda.jcudnn.cudnnStatus
-
- CUDNN_STATUS_LICENSE_ERROR - Static variable in class jcuda.jcudnn.cudnnStatus
-
- CUDNN_STATUS_MAPPING_ERROR - Static variable in class jcuda.jcudnn.cudnnStatus
-
- CUDNN_STATUS_NOT_INITIALIZED - Static variable in class jcuda.jcudnn.cudnnStatus
-
- CUDNN_STATUS_NOT_SUPPORTED - Static variable in class jcuda.jcudnn.cudnnStatus
-
- CUDNN_STATUS_SUCCESS - Static variable in class jcuda.jcudnn.cudnnStatus
-
- CUDNN_TENSOR_NCHW - Static variable in class jcuda.jcudnn.cudnnTensorFormat
-
row major (wStride = 1, hStride = w)
- CUDNN_TENSOR_NHWC - Static variable in class jcuda.jcudnn.cudnnTensorFormat
-
feature maps interleaved ( cStride = 1 )
- CUDNN_VERSION - Static variable in class jcuda.jcudnn.JCudnn
-
- cudnnActivationBackward(cudnnHandle, int, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
Function to perform backward activation
- cudnnActivationBackward_v4(cudnnHandle, cudnnActivationDescriptor, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnActivationDescriptor - Class in jcuda.jcudnn
-
Java port of a cudnnActivationDescriptor
- cudnnActivationDescriptor() - Constructor for class jcuda.jcudnn.cudnnActivationDescriptor
-
Creates a new, uninitialized cudnnActivationDescriptor
- cudnnActivationForward(cudnnHandle, int, Pointer, cudnnTensorDescriptor, Pointer, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
Function to perform forward activation
- cudnnActivationForward_v4(cudnnHandle, cudnnActivationDescriptor, Pointer, cudnnTensorDescriptor, Pointer, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnActivationMode - Class in jcuda.jcudnn
-
activation mode
- cudnnAddMode - Class in jcuda.jcudnn
-
- cudnnAddTensor(cudnnHandle, Pointer, cudnnTensorDescriptor, Pointer, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
Tensor Bias addition : y = alpha * b + beta * y
- cudnnAddTensor_v2(cudnnHandle, int, Pointer, cudnnTensorDescriptor, Pointer, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnAddTensor_v3(cudnnHandle, Pointer, cudnnTensorDescriptor, Pointer, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
cudnnAddTensor_v3 is now mapped to cudnnAddTensor
and will be removed at the same time as cudnnAddTensor_v2
Use cudnnAddTensor instead
- cudnnBatchNormalizationBackward(cudnnHandle, int, Pointer, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, Pointer, Pointer, double, Pointer, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
Performs backward pass of Batch Normalization layer.
- cudnnBatchNormalizationForwardInference(cudnnHandle, int, Pointer, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, Pointer, Pointer, Pointer, double) - Static method in class jcuda.jcudnn.JCudnn
-
Performs Batch Normalization during Inference:
y[i] = bnScale[k]*(x[i]-estimatedMean[k])*estimatedInvVariance[k] + bnBias[k]
with bnScale, bnBias, runningMean, runningInvVariance tensors indexed
according to spatial or per-activation mode.
- cudnnBatchNormalizationForwardTraining(cudnnHandle, int, Pointer, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, Pointer, double, Pointer, Pointer, double, Pointer, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
Computes y = BN(x).
- cudnnBatchNormMode - Class in jcuda.jcudnn
-
- cudnnConvolutionBackwardBias(cudnnHandle, Pointer, cudnnTensorDescriptor, Pointer, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
Function to compute the bias gradient for batch convolution
- cudnnConvolutionBackwardData(cudnnHandle, Pointer, cudnnFilterDescriptor, Pointer, cudnnTensorDescriptor, Pointer, cudnnConvolutionDescriptor, int, Pointer, long, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnConvolutionBackwardData_v2(cudnnHandle, Pointer, cudnnFilterDescriptor, Pointer, cudnnTensorDescriptor, Pointer, cudnnConvolutionDescriptor, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnConvolutionBackwardData_v3(cudnnHandle, Pointer, cudnnFilterDescriptor, Pointer, cudnnTensorDescriptor, Pointer, cudnnConvolutionDescriptor, int, Pointer, long, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
cudnnConvolutionBackwardData_v3 is now mapped to cudnnConvolutionBackwardData
and will be removed at the same time thancudnnConvolutionBackwardData_v2
Use cudnnConvolutionBackwardData instead
- cudnnConvolutionBackwardFilter(cudnnHandle, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, cudnnConvolutionDescriptor, int, Pointer, long, Pointer, cudnnFilterDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnConvolutionBackwardFilter_v2(cudnnHandle, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, cudnnConvolutionDescriptor, Pointer, cudnnFilterDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnConvolutionBackwardFilter_v3(cudnnHandle, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, cudnnConvolutionDescriptor, int, Pointer, long, Pointer, cudnnFilterDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
cudnnConvolutionBackwardFilter_v3 is now mapped to cudnnConvolutionBackwardFilter
and will be removed at the same time thancudnnConvolutionBackwardFilter_v2
Use cudnnConvolutionBackwardFilter instead
- cudnnConvolutionBwdDataAlgo - Class in jcuda.jcudnn
-
- cudnnConvolutionBwdDataAlgoPerf - Class in jcuda.jcudnn
-
Java port of a cudnnConvolutionBwdDataAlgoPerf
- cudnnConvolutionBwdDataAlgoPerf() - Constructor for class jcuda.jcudnn.cudnnConvolutionBwdDataAlgoPerf
-
Default constructor
- cudnnConvolutionBwdDataAlgoPerf(int, int, float, long) - Constructor for class jcuda.jcudnn.cudnnConvolutionBwdDataAlgoPerf
-
Creates a new cudnnConvolutionBwdDataAlgoPerf with the given values
- cudnnConvolutionBwdDataPreference - Class in jcuda.jcudnn
-
helper function to provide the convolution algo that fit best the requirement
- cudnnConvolutionBwdFilterAlgo - Class in jcuda.jcudnn
-
- cudnnConvolutionBwdFilterAlgoPerf - Class in jcuda.jcudnn
-
Java port of a cudnnConvolutionBwdFilterAlgoPerf
- cudnnConvolutionBwdFilterAlgoPerf() - Constructor for class jcuda.jcudnn.cudnnConvolutionBwdFilterAlgoPerf
-
Default constructor
- cudnnConvolutionBwdFilterAlgoPerf(int, int, float, long) - Constructor for class jcuda.jcudnn.cudnnConvolutionBwdFilterAlgoPerf
-
Creates a new cudnnConvolutionBwdFilterAlgoPerf with the given values
- cudnnConvolutionBwdFilterPreference - Class in jcuda.jcudnn
-
helper function to provide the convolution algo that fit best the requirement
- cudnnConvolutionDescriptor - Class in jcuda.jcudnn
-
Java port of a cudnnConvolutionDescriptor
- cudnnConvolutionDescriptor() - Constructor for class jcuda.jcudnn.cudnnConvolutionDescriptor
-
Creates a new, uninitialized cudnnConvolutionDescriptor
- cudnnConvolutionForward(cudnnHandle, Pointer, cudnnTensorDescriptor, Pointer, cudnnFilterDescriptor, Pointer, cudnnConvolutionDescriptor, int, Pointer, long, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
Function to perform the forward pass for batch convolution
- cudnnConvolutionFwdAlgo - Class in jcuda.jcudnn
-
- cudnnConvolutionFwdAlgoPerf - Class in jcuda.jcudnn
-
Java port of a cudnnConvolutionFwdAlgoPerf
- cudnnConvolutionFwdAlgoPerf() - Constructor for class jcuda.jcudnn.cudnnConvolutionFwdAlgoPerf
-
Default constructor
- cudnnConvolutionFwdAlgoPerf(int, int, float, long) - Constructor for class jcuda.jcudnn.cudnnConvolutionFwdAlgoPerf
-
Creates a new cudnnConvolutionFwdAlgoPerf with the given values
- cudnnConvolutionFwdPreference - Class in jcuda.jcudnn
-
helper function to provide the convolution algo that fit best the requirement
- cudnnConvolutionMode - Class in jcuda.jcudnn
-
convolution mode
- cudnnCreate(cudnnHandle) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnCreateActivationDescriptor(cudnnActivationDescriptor) - Static method in class jcuda.jcudnn.JCudnn
-
Activation functions: All of the form "output = alpha * Op(inputs) + beta * output"
- cudnnCreateConvolutionDescriptor(cudnnConvolutionDescriptor) - Static method in class jcuda.jcudnn.JCudnn
-
Create an instance of convolution descriptor
- cudnnCreateFilterDescriptor(cudnnFilterDescriptor) - Static method in class jcuda.jcudnn.JCudnn
-
Create an instance of FilterStruct
- cudnnCreateLRNDescriptor(cudnnLRNDescriptor) - Static method in class jcuda.jcudnn.JCudnn
-
Create an instance of LRN (Local Response Normalization) descriptor
Uses lrnN=5, lrnAlpha=1e-4, lrnBeta=0.75, lrnK=2.0 as defaults from Krizhevsky'12 ImageNet paper
- cudnnCreatePoolingDescriptor(cudnnPoolingDescriptor) - Static method in class jcuda.jcudnn.JCudnn
-
Create an instance of pooling descriptor
- cudnnCreateTensorDescriptor(cudnnTensorDescriptor) - Static method in class jcuda.jcudnn.JCudnn
-
Create an instance of a generic Tensor descriptor
- cudnnDataType - Class in jcuda.jcudnn
-
CUDNN data type
- cudnnDeriveBNTensorDescriptor(cudnnTensorDescriptor, cudnnTensorDescriptor, int) - Static method in class jcuda.jcudnn.JCudnn
-
Derives a tensor descriptor from layer data descriptor for BatchNormalization
scale, invVariance, bnBias, bnScale tensors.
- cudnnDestroy(cudnnHandle) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnDestroyActivationDescriptor(cudnnActivationDescriptor) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnDestroyConvolutionDescriptor(cudnnConvolutionDescriptor) - Static method in class jcuda.jcudnn.JCudnn
-
Destroy an instance of convolution descriptor
- cudnnDestroyFilterDescriptor(cudnnFilterDescriptor) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnDestroyLRNDescriptor(cudnnLRNDescriptor) - Static method in class jcuda.jcudnn.JCudnn
-
Destroy an instance of LRN descriptor
- cudnnDestroyPoolingDescriptor(cudnnPoolingDescriptor) - Static method in class jcuda.jcudnn.JCudnn
-
Destroy an instance of pooling descriptor
- cudnnDestroyTensorDescriptor(cudnnTensorDescriptor) - Static method in class jcuda.jcudnn.JCudnn
-
Destroy an instance of Tensor4d descriptor
- cudnnDivisiveNormalizationBackward(cudnnHandle, cudnnLRNDescriptor, int, Pointer, cudnnTensorDescriptor, Pointer, Pointer, Pointer, Pointer, Pointer, Pointer, cudnnTensorDescriptor, Pointer, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnDivisiveNormalizationForward(cudnnHandle, cudnnLRNDescriptor, int, Pointer, cudnnTensorDescriptor, Pointer, Pointer, Pointer, Pointer, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
LCN/divisive normalization functions: y = alpha * normalize(x) + beta * y
- cudnnDivNormMode - Class in jcuda.jcudnn
-
- cudnnFilterDescriptor - Class in jcuda.jcudnn
-
Java port of a cudnnFilterDescriptor
- cudnnFilterDescriptor() - Constructor for class jcuda.jcudnn.cudnnFilterDescriptor
-
Creates a new, uninitialized cudnnFilterDescriptor
- cudnnFindConvolutionBackwardDataAlgorithm(cudnnHandle, cudnnFilterDescriptor, cudnnTensorDescriptor, cudnnConvolutionDescriptor, cudnnTensorDescriptor, int, int[], cudnnConvolutionBwdDataAlgoPerf[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnFindConvolutionBackwardFilterAlgorithm(cudnnHandle, cudnnTensorDescriptor, cudnnTensorDescriptor, cudnnConvolutionDescriptor, cudnnFilterDescriptor, int, int[], cudnnConvolutionBwdFilterAlgoPerf[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnFindConvolutionForwardAlgorithm(cudnnHandle, cudnnTensorDescriptor, cudnnFilterDescriptor, cudnnConvolutionDescriptor, cudnnTensorDescriptor, int, int[], cudnnConvolutionFwdAlgoPerf[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetActivationDescriptor(cudnnActivationDescriptor, int[], int[], Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetConvolution2dDescriptor(cudnnConvolutionDescriptor, Pointer, Pointer, Pointer, Pointer, Pointer, Pointer, int[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetConvolution2dForwardOutputDim(cudnnConvolutionDescriptor, cudnnTensorDescriptor, cudnnFilterDescriptor, Pointer, Pointer, Pointer, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
Helper function to return the dimensions of the output tensor given a convolution descriptor
- cudnnGetConvolutionBackwardDataAlgorithm(cudnnHandle, cudnnFilterDescriptor, cudnnTensorDescriptor, cudnnConvolutionDescriptor, cudnnTensorDescriptor, int, long, int[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetConvolutionBackwardDataWorkspaceSize(cudnnHandle, cudnnFilterDescriptor, cudnnTensorDescriptor, cudnnConvolutionDescriptor, cudnnTensorDescriptor, int, long[]) - Static method in class jcuda.jcudnn.JCudnn
-
Helper function to return the minimum size of the workspace to be passed to the convolution given an algo
- cudnnGetConvolutionBackwardFilterAlgorithm(cudnnHandle, cudnnTensorDescriptor, cudnnTensorDescriptor, cudnnConvolutionDescriptor, cudnnFilterDescriptor, int, long, int[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetConvolutionBackwardFilterWorkspaceSize(cudnnHandle, cudnnTensorDescriptor, cudnnTensorDescriptor, cudnnConvolutionDescriptor, cudnnFilterDescriptor, int, long[]) - Static method in class jcuda.jcudnn.JCudnn
-
Helper function to return the minimum size of the workspace to be passed to the convolution given an algo
- cudnnGetConvolutionForwardAlgorithm(cudnnHandle, cudnnTensorDescriptor, cudnnFilterDescriptor, cudnnConvolutionDescriptor, cudnnTensorDescriptor, int, long, int[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetConvolutionForwardWorkspaceSize(cudnnHandle, cudnnTensorDescriptor, cudnnFilterDescriptor, cudnnConvolutionDescriptor, cudnnTensorDescriptor, int, long[]) - Static method in class jcuda.jcudnn.JCudnn
-
Helper function to return the minimum size of the workspace to be passed to the convolution given an algo
- cudnnGetConvolutionNdDescriptor(cudnnConvolutionDescriptor, int, int[], int[], int[], int[], int[], int[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetConvolutionNdDescriptor_v2(cudnnConvolutionDescriptor, int, int[], int[], int[], int[], int[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetConvolutionNdDescriptor_v3(cudnnConvolutionDescriptor, int, int[], int[], int[], int[], int[], int[]) - Static method in class jcuda.jcudnn.JCudnn
-
cudnnGetConvolutionNdDescriptor_v3 is now mapped to cudnnGetConvolutionNdDescriptor
and will be removed at the same time thancudnnGetConvolutionNdDescriptor_v2
Use cudnnGetConvolutionNdDescriptor instead
- cudnnGetConvolutionNdForwardOutputDim(cudnnConvolutionDescriptor, cudnnTensorDescriptor, cudnnFilterDescriptor, int, int[]) - Static method in class jcuda.jcudnn.JCudnn
-
Helper function to return the dimensions of the output tensor given a convolution descriptor
- cudnnGetErrorString(int) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetFilter4dDescriptor(cudnnFilterDescriptor, int[], Pointer, Pointer, Pointer, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetFilter4dDescriptor_v4(cudnnFilterDescriptor, int[], int[], Pointer, Pointer, Pointer, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetFilterNdDescriptor(cudnnFilterDescriptor, int, int[], Pointer, int[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetFilterNdDescriptor_v4(cudnnFilterDescriptor, int, int[], int[], Pointer, int[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetLRNDescriptor(cudnnLRNDescriptor, int[], Pointer, Pointer, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
Retrieve the settings currently stored in an LRN layer descriptor
Any of the provided pointers can be NULL (no corresponding value will be returned)
- cudnnGetPooling2dDescriptor(cudnnPoolingDescriptor, int[], Pointer, Pointer, Pointer, Pointer, Pointer, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetPooling2dDescriptor_v4(cudnnPoolingDescriptor, int[], int[], Pointer, Pointer, Pointer, Pointer, Pointer, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetPooling2dForwardOutputDim(cudnnPoolingDescriptor, cudnnTensorDescriptor, Pointer, Pointer, Pointer, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetPoolingNdDescriptor(cudnnPoolingDescriptor, int, int[], Pointer, int[], int[], int[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetPoolingNdDescriptor_v4(cudnnPoolingDescriptor, int, int[], int[], Pointer, int[], int[], int[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetPoolingNdForwardOutputDim(cudnnPoolingDescriptor, cudnnTensorDescriptor, int, int[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetStream(cudnnHandle, cudaStream_t) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetTensor4dDescriptor(cudnnTensorDescriptor, int[], Pointer, Pointer, Pointer, Pointer, Pointer, Pointer, Pointer, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetTensorNdDescriptor(cudnnTensorDescriptor, int, int[], int[], int[], int[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnGetVersion() - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnHandle - Class in jcuda.jcudnn
-
Java port of a cudnnHandle
- cudnnHandle() - Constructor for class jcuda.jcudnn.cudnnHandle
-
Creates a new, uninitialized cudnnHandle
- cudnnIm2Col(cudnnHandle, cudnnTensorDescriptor, Pointer, cudnnFilterDescriptor, cudnnConvolutionDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnLRNCrossChannelBackward(cudnnHandle, cudnnLRNDescriptor, int, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
LRN cross-channel backward computation.
- cudnnLRNCrossChannelForward(cudnnHandle, cudnnLRNDescriptor, int, Pointer, cudnnTensorDescriptor, Pointer, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
LRN cross-channel forward computation.
- cudnnLRNDescriptor - Class in jcuda.jcudnn
-
Java port of a cudnnLRNDescriptor
- cudnnLRNDescriptor() - Constructor for class jcuda.jcudnn.cudnnLRNDescriptor
-
Creates a new, uninitialized cudnnLRNDescriptor
- cudnnLRNMode - Class in jcuda.jcudnn
-
- cudnnNanPropagation - Class in jcuda.jcudnn
-
CUDNN propagate Nan
- cudnnPoolingBackward(cudnnHandle, cudnnPoolingDescriptor, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
Function to perform backward pooling
- cudnnPoolingDescriptor - Class in jcuda.jcudnn
-
Java port of a cudnnPoolingDescriptor
- cudnnPoolingDescriptor() - Constructor for class jcuda.jcudnn.cudnnPoolingDescriptor
-
Creates a new, uninitialized cudnnPoolingDescriptor
- cudnnPoolingForward(cudnnHandle, cudnnPoolingDescriptor, Pointer, cudnnTensorDescriptor, Pointer, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
Function to perform forward pooling
- cudnnPoolingMode - Class in jcuda.jcudnn
-
pooling mode
- cudnnScaleTensor(cudnnHandle, cudnnTensorDescriptor, Pointer, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
Scale all values of a tensor by a given factor : y[i] = alpha * y[i]
- cudnnSetActivationDescriptor(cudnnActivationDescriptor, int, int, double) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor, int, int, int, int, int, int, int) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnSetConvolutionNdDescriptor(cudnnConvolutionDescriptor, int, int[], int[], int[], int, int) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnSetConvolutionNdDescriptor_v2(cudnnConvolutionDescriptor, int, int[], int[], int[], int) - Static method in class jcuda.jcudnn.JCudnn
-
DEPRECATED API THAT WILL BE REMOVED FROM UPCOMING RELEASES
- cudnnSetConvolutionNdDescriptor_v3(cudnnConvolutionDescriptor, int, int[], int[], int[], int, int) - Static method in class jcuda.jcudnn.JCudnn
-
cudnnSetConvolutionNdDescriptor_v3 is now mapped to cudnnSetConvolutionNdDescriptor
and will be removed at the same time than cudnnSetConvolutionNdDescriptor_v2
Use cudnnSetConvolutionNdDescriptor instead
- cudnnSetFilter4dDescriptor(cudnnFilterDescriptor, int, int, int, int, int) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnSetFilter4dDescriptor_v4(cudnnFilterDescriptor, int, int, int, int, int, int) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnSetFilterNdDescriptor(cudnnFilterDescriptor, int, int, int[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnSetFilterNdDescriptor_v4(cudnnFilterDescriptor, int, int, int, int[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnSetLRNDescriptor(cudnnLRNDescriptor, int, double, double, double) - Static method in class jcuda.jcudnn.JCudnn
-
Uses a window [center-lookBehind, center+lookAhead], where
lookBehind = floor( (lrnN-1)/2 ), lookAhead = lrnN-lookBehind-1.
- cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor, int, int, int, int, int, int, int) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnSetPooling2dDescriptor_v4(cudnnPoolingDescriptor, int, int, int, int, int, int, int, int) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnSetPoolingNdDescriptor(cudnnPoolingDescriptor, int, int, int[], int[], int[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnSetPoolingNdDescriptor_v4(cudnnPoolingDescriptor, int, int, int, int[], int[], int[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnSetStream(cudnnHandle, cudaStream_t) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnSetTensor(cudnnHandle, cudnnTensorDescriptor, Pointer, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
Set all values of a tensor to a given value : y[i] = value[0]
- cudnnSetTensor4dDescriptor(cudnnTensorDescriptor, int, int, int, int, int, int) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnSetTensor4dDescriptorEx(cudnnTensorDescriptor, int, int, int, int, int, int, int, int, int) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnSetTensorNdDescriptor(cudnnTensorDescriptor, int, int, int[], int[]) - Static method in class jcuda.jcudnn.JCudnn
-
- cudnnSoftmaxAlgorithm - Class in jcuda.jcudnn
-
softmax algorithm
- cudnnSoftmaxBackward(cudnnHandle, int, int, Pointer, cudnnTensorDescriptor, Pointer, cudnnTensorDescriptor, Pointer, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
Function to perform backward softmax
- cudnnSoftmaxForward(cudnnHandle, int, int, Pointer, cudnnTensorDescriptor, Pointer, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
Function to perform forward softmax
- cudnnSoftmaxMode - Class in jcuda.jcudnn
-
- cudnnStatus - Class in jcuda.jcudnn
-
CUDNN return codes
- cudnnTensorDescriptor - Class in jcuda.jcudnn
-
Data structures to represent Image/Filter and the Neural Network Layer
- cudnnTensorDescriptor() - Constructor for class jcuda.jcudnn.cudnnTensorDescriptor
-
Creates a new, uninitialized cudnnTensorDescriptor
- cudnnTensorFormat - Class in jcuda.jcudnn
-
- cudnnTransformTensor(cudnnHandle, Pointer, cudnnTensorDescriptor, Pointer, Pointer, cudnnTensorDescriptor, Pointer) - Static method in class jcuda.jcudnn.JCudnn
-
Tensor layout conversion helper (y = alpha * x + beta * y)
- setExceptionsEnabled(boolean) - Static method in class jcuda.jcudnn.JCudnn
-
Enables or disables exceptions.
- setLogLevel(LogLevel) - Static method in class jcuda.jcudnn.JCudnn
-
Set the specified log level for the JCudnn library.
- status - Variable in class jcuda.jcudnn.cudnnConvolutionBwdDataAlgoPerf
-
- status - Variable in class jcuda.jcudnn.cudnnConvolutionBwdFilterAlgoPerf
-
- status - Variable in class jcuda.jcudnn.cudnnConvolutionFwdAlgoPerf
-
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnActivationMode
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnAddMode
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnBatchNormMode
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnConvolutionBwdDataAlgo
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnConvolutionBwdDataPreference
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnConvolutionBwdFilterAlgo
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnConvolutionBwdFilterPreference
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnConvolutionFwdAlgo
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnConvolutionFwdPreference
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnConvolutionMode
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnDataType
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnDivNormMode
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnLRNMode
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnNanPropagation
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnPoolingMode
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnSoftmaxAlgorithm
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnSoftmaxMode
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnStatus
-
Returns a string representation of the given constant
- stringFor(int) - Static method in class jcuda.jcudnn.cudnnTensorFormat
-
Returns a string representation of the given constant