paleo/third_party/libcudnn.py
def cudnnSetTensor4dDescriptorEx(tensorDesc, dataType, n, c, h, w, nStride,
                                 cStride, hStride, wStride):
    """"
    Initialize a Tensor descriptor object with strides.

    This function initializes a previously created generic Tensor descriptor object into a
    4D tensor, similarly to cudnnSetTensor4dDescriptor but with the strides explicitly
    passed as parameters. This can be used to lay out the 4D tensor in any order or simply to
    define gaps between dimensions.

    Parameters
    ----------
    tensorDesc : cudnnTensorDescriptor_t
        Handle to a previously created tensor descriptor.
    dataType : cudnnDataType
        Data type.
    n : int
        Number of images.
    c : int
        Number of feature maps per image.
    h : int
        Height of each feature map.
    w : int
        Width of each feature map.
    nStride : int
        Stride between two consective images.
    cStride : int
        Stride between two consecutive feature maps.
    hStride : int
        Stride between two consecutive rows.
    wStride : int
        Stride between two consecutive columns.
    """

    status = _libcudnn.cudnnSetTensor4dDescriptorEx(
        tensorDesc, dataType, n, c, h, w, nStride, cStride, hStride, wStride)
    cudnnCheckStatus(status)

    Initialize a Tensor descriptor object with strides.

    This function initializes a previously created generic Tensor descriptor object into a
    4D tensor, similarly to cudnnSetTensor4dDescriptor but with the strides explicitly
    passed as parameters. This can be used to lay out the 4D tensor in any order or simply to
    define gaps between dimensions.

    Parameters
    ----------
    tensorDesc : cudnnTensorDescriptor_t
        Handle to a previously created tensor descriptor.
    dataType : cudnnDataType
        Data type.
    n : int
        Number of images.
    c : int
        Number of feature maps per image.
    h : int
        Height of each feature map.
    w : int
        Width of each feature map.
    nStride : int
        Stride between two consective images.
    cStride : int
        Stride between two consecutive feature maps.
    hStride : int
        Stride between two consecutive rows.
    wStride : int
        Stride between two consecutive columns.
    
Initialize a Tensor descriptor object with strides.
This function initializes a previously created generic Tensor descriptor object into a
4D tensor, similarly to cudnnSetTensor4dDescriptor but with the strides explicitly
passed as parameters. This can be used to lay out the 4D tensor in any order or simply to
define gaps between dimensions.

Parameters

tensorDesc : cudnnTensorDescriptor_t
Handle to a previously created tensor descriptor.
dataType : cudnnDataType
Data type.
n : int
Number of images.
c : int
Number of feature maps per image.
h : int
Height of each feature map.
w : int
Width of each feature map.
nStride : int
Stride between two consective images.
cStride : int
Stride between two consecutive feature maps.
hStride : int
Stride between two consecutive rows.
wStride : int
Stride between two consecutive columns.
Initialize a Tensor descriptor object with strides . This function initializes a previously created generic Tensor descriptor object into a 4D tensor similarly to cudnnSetTensor4dDescriptor but with the strides explicitly passed as parameters . This can be used to lay out the 4D tensor in any order or simply to define gaps between dimensions . Parameters tensorDesc : cudnnTensorDescriptor_t Handle to a previously created tensor descriptor . dataType : cudnnDataType Data type . n : int Number of images . c : int Number of feature maps per image . h : int Height of each feature map . w : int Width of each feature map . nStride : int Stride between two consective images . cStride : int Stride between two consecutive feature maps . hStride : int Stride between two consecutive rows . wStride : int Stride between two consecutive columns .
def cudnnSetTensor4dDescriptorEx(tensorDesc, dataType, n, c, h, w, nStride,
                                 cStride, hStride, wStride):
    status = _libcudnn.cudnnSetTensor4dDescriptorEx(
        tensorDesc, dataType, n, c, h, w, nStride, cStride, hStride, wStride)
    cudnnCheckStatus(status)
def cudnnSetTensor4dDescriptorEx ( tensorDesc , dataType , n , c , h , w , nStride , cStride , hStride , wStride ) : status = _libcudnn . cudnnSetTensor4dDescriptorEx ( tensorDesc , dataType , n , c , h , w , nStride , cStride , hStride , wStride ) cudnnCheckStatus ( status )
Initialize a Tensor descriptor object with strides.
Initialize a Tensor descriptor object with strides .
""""
    Initialize a Tensor descriptor object with strides.

    This function initializes a previously created generic Tensor descriptor object into a
    4D tensor, similarly to cudnnSetTensor4dDescriptor but with the strides explicitly
    passed as parameters. This can be used to lay out the 4D tensor in any order or simply to
    define gaps between dimensions.

    Parameters
    ----------
    tensorDesc : cudnnTensorDescriptor_t
        Handle to a previously created tensor descriptor.
    dataType : cudnnDataType
        Data type.
    n : int
        Number of images.
    c : int
        Number of feature maps per image.
    h : int
        Height of each feature map.
    w : int
        Width of each feature map.
    nStride : int
        Stride between two consective images.
    cStride : int
        Stride between two consecutive feature maps.
    hStride : int
        Stride between two consecutive rows.
    wStride : int
        Stride between two consecutive columns.
    """
tensorDesc
dataType
n
c
h
w
nStride
cStride
hStride
wStride