paleo/third_party/libcudnn.py
def cudnnGetConvolution2dForwardOutputDim(convDesc, inputTensorDesc, wDesc):
    """"
    Return the dimensions of the output tensor given a convolution descriptor.

    This function returns the dimensions of the resulting 4D tensor of a 2D
    convolution, given the convolution descriptor, the input tensor descriptor and
    the filter descriptor. This function can help to setup the output tensor and allocate
    the proper amount of memory prior to launching the actual convolution.

    Parameters
    ----------
    convDesc : cudnnConvolutionDescriptor
        Handle to a previously created convolution descriptor.
    inputTensorDesc: cudnnTensorDescriptor
        Handle to a previously initialized tensor descriptor.
    wDesc: cudnnFilterDescriptor
        Handle to a previously initialized filter descriptor.

    Returns
    -------
    n : int
        Number of output images.
    c : int
        Number of output feature maps per image.
    h : int
        Height of each output feature map.
    w : int
        Width of each output feature map.
    """
    n = ctypes.c_int()
    c = ctypes.c_int()
    h = ctypes.c_int()
    w = ctypes.c_int()

    status = _libcudnn.cudnnGetConvolution2dForwardOutputDim(
        convDesc, inputTensorDesc, wDesc, ctypes.byref(n), ctypes.byref(c),
        ctypes.byref(h), ctypes.byref(w))
    cudnnCheckStatus(status)

    return n.value, c.value, h.value, w.value

    Return the dimensions of the output tensor given a convolution descriptor.

    This function returns the dimensions of the resulting 4D tensor of a 2D
    convolution, given the convolution descriptor, the input tensor descriptor and
    the filter descriptor. This function can help to setup the output tensor and allocate
    the proper amount of memory prior to launching the actual convolution.

    Parameters
    ----------
    convDesc : cudnnConvolutionDescriptor
        Handle to a previously created convolution descriptor.
    inputTensorDesc: cudnnTensorDescriptor
        Handle to a previously initialized tensor descriptor.
    wDesc: cudnnFilterDescriptor
        Handle to a previously initialized filter descriptor.

    Returns
    -------
    n : int
        Number of output images.
    c : int
        Number of output feature maps per image.
    h : int
        Height of each output feature map.
    w : int
        Width of each output feature map.
    
Return the dimensions of the output tensor given a convolution descriptor.
This function returns the dimensions of the resulting 4D tensor of a 2D
convolution, given the convolution descriptor, the input tensor descriptor and
the filter descriptor. This function can help to setup the output tensor and allocate
the proper amount of memory prior to launching the actual convolution.

Parameters

convDesc : cudnnConvolutionDescriptor
Handle to a previously created convolution descriptor.
inputTensorDesc: cudnnTensorDescriptor
Handle to a previously initialized tensor descriptor.
wDesc: cudnnFilterDescriptor
Handle to a previously initialized filter descriptor.

Returns

n : int
Number of output images.
c : int
Number of output feature maps per image.
h : int
Height of each output feature map.
w : int
Width of each output feature map.
Return the dimensions of the output tensor given a convolution descriptor . This function returns the dimensions of the resulting 4D tensor of a 2D convolution given the convolution descriptor the input tensor descriptor and the filter descriptor . This function can help to setup the output tensor and allocate the proper amount of memory prior to launching the actual convolution . Parameters convDesc : cudnnConvolutionDescriptor Handle to a previously created convolution descriptor . inputTensorDesc : cudnnTensorDescriptor Handle to a previously initialized tensor descriptor . wDesc : cudnnFilterDescriptor Handle to a previously initialized filter descriptor . Returns n : int Number of output images . c : int Number of output feature maps per image . h : int Height of each output feature map . w : int Width of each output feature map .
def cudnnGetConvolution2dForwardOutputDim(convDesc, inputTensorDesc, wDesc):
    n = ctypes.c_int()
    c = ctypes.c_int()
    h = ctypes.c_int()
    w = ctypes.c_int()
    status = _libcudnn.cudnnGetConvolution2dForwardOutputDim(
        convDesc, inputTensorDesc, wDesc, ctypes.byref(n), ctypes.byref(c),
        ctypes.byref(h), ctypes.byref(w))
    cudnnCheckStatus(status)
    return n.value, c.value, h.value, w.value
def cudnnGetConvolution2dForwardOutputDim ( convDesc , inputTensorDesc , wDesc ) : n = ctypes . c_int ( ) c = ctypes . c_int ( ) h = ctypes . c_int ( ) w = ctypes . c_int ( ) status = _libcudnn . cudnnGetConvolution2dForwardOutputDim ( convDesc , inputTensorDesc , wDesc , ctypes . byref ( n ) , ctypes . byref ( c ) , ctypes . byref ( h ) , ctypes . byref ( w ) ) cudnnCheckStatus ( status ) return n . value , c . value , h . value , w . value
Return the dimensions of the output tensor given a convolution descriptor.
Return the dimensions of the output tensor given a convolution descriptor .
""""
    Return the dimensions of the output tensor given a convolution descriptor.

    This function returns the dimensions of the resulting 4D tensor of a 2D
    convolution, given the convolution descriptor, the input tensor descriptor and
    the filter descriptor. This function can help to setup the output tensor and allocate
    the proper amount of memory prior to launching the actual convolution.

    Parameters
    ----------
    convDesc : cudnnConvolutionDescriptor
        Handle to a previously created convolution descriptor.
    inputTensorDesc: cudnnTensorDescriptor
        Handle to a previously initialized tensor descriptor.
    wDesc: cudnnFilterDescriptor
        Handle to a previously initialized filter descriptor.

    Returns
    -------
    n : int
        Number of output images.
    c : int
        Number of output feature maps per image.
    h : int
        Height of each output feature map.
    w : int
        Width of each output feature map.
    """
convDesc
inputTensorDesc
wDesc