paleo/third_party/libcudnn.py
def cudnnGetTensor4dDescriptor(tensorDesc):
    """"
    Get parameters of a Tensor descriptor object.

    This function queries the parameters of the previouly initialized Tensor4D descriptor
    object.

    Parameters
    ----------
    tensorDesc : cudnnTensorDescriptor
        Handle to a previously initialized tensor descriptor.

    Returns
    -------
    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.
    """

    dataType = ctypes.c_int()
    n = ctypes.c_int()
    c = ctypes.c_int()
    h = ctypes.c_int()
    w = ctypes.c_int()
    nStride = ctypes.c_int()
    cStride = ctypes.c_int()
    hStride = ctypes.c_int()
    wStride = ctypes.c_int()

    status = _libcudnn.cudnnGetTensor4dDescriptor(
        tensorDesc, ctypes.byref(dataType), ctypes.byref(n), ctypes.byref(c),
        ctypes.byref(h), ctypes.byref(w), ctypes.byref(nStride),
        ctypes.byref(cStride), ctypes.byref(hStride), ctypes.byref(wStride))
    cudnnCheckStatus(status)

    return dataType.value, n.value, c.value, h.value, w.value, nStride.value, cStride.value, \
        hStride.value, wStride.value

    Get parameters of a Tensor descriptor object.

    This function queries the parameters of the previouly initialized Tensor4D descriptor
    object.

    Parameters
    ----------
    tensorDesc : cudnnTensorDescriptor
        Handle to a previously initialized tensor descriptor.

    Returns
    -------
    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.
    
Get parameters of a Tensor descriptor object.
This function queries the parameters of the previouly initialized Tensor4D descriptor
object.

Parameters

tensorDesc : cudnnTensorDescriptor
Handle to a previously initialized tensor descriptor.

Returns

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.
Get parameters of a Tensor descriptor object . This function queries the parameters of the previouly initialized Tensor4D descriptor object . Parameters tensorDesc : cudnnTensorDescriptor Handle to a previously initialized tensor descriptor . Returns 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 cudnnGetTensor4dDescriptor(tensorDesc):
    dataType = ctypes.c_int()
    n = ctypes.c_int()
    c = ctypes.c_int()
    h = ctypes.c_int()
    w = ctypes.c_int()
    nStride = ctypes.c_int()
    cStride = ctypes.c_int()
    hStride = ctypes.c_int()
    wStride = ctypes.c_int()
    status = _libcudnn.cudnnGetTensor4dDescriptor(
        tensorDesc, ctypes.byref(dataType), ctypes.byref(n), ctypes.byref(c),
        ctypes.byref(h), ctypes.byref(w), ctypes.byref(nStride),
        ctypes.byref(cStride), ctypes.byref(hStride), ctypes.byref(wStride))
    cudnnCheckStatus(status)
    return dataType.value, n.value, c.value, h.value, w.value, nStride.value, cStride.value, \
        hStride.value, wStride.value
def cudnnGetTensor4dDescriptor ( tensorDesc ) : dataType = ctypes . c_int ( ) n = ctypes . c_int ( ) c = ctypes . c_int ( ) h = ctypes . c_int ( ) w = ctypes . c_int ( ) nStride = ctypes . c_int ( ) cStride = ctypes . c_int ( ) hStride = ctypes . c_int ( ) wStride = ctypes . c_int ( ) status = _libcudnn . cudnnGetTensor4dDescriptor ( tensorDesc , ctypes . byref ( dataType ) , ctypes . byref ( n ) , ctypes . byref ( c ) , ctypes . byref ( h ) , ctypes . byref ( w ) , ctypes . byref ( nStride ) , ctypes . byref ( cStride ) , ctypes . byref ( hStride ) , ctypes . byref ( wStride ) ) cudnnCheckStatus ( status ) return dataType . value , n . value , c . value , h . value , w . value , nStride . value , cStride . value , hStride . value , wStride . value
Get parameters of a Tensor descriptor object.
Get parameters of a Tensor descriptor object .
""""
    Get parameters of a Tensor descriptor object.

    This function queries the parameters of the previouly initialized Tensor4D descriptor
    object.

    Parameters
    ----------
    tensorDesc : cudnnTensorDescriptor
        Handle to a previously initialized tensor descriptor.

    Returns
    -------
    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