def METHOD_NAME(Input, Filter, strides, padding, out_dtype, output_padding):
    """Transposed 3D convolution ncdhw forward operator.
    Parameters
    ----------
    Input : tvm.te.Tensor
        5-D with shape [batch, in_channel, in_depth, in_height, in_width]
    Filter : tvm.te.Tensor
        5-D with shape [in_channel, num_filter, filter_depth, filter_height, filter_width]
    strides : int or a list/tuple of three ints
        The spatial stride along depth,height and width
    padding : int or str
        Padding size, or ['VALID', 'SAME']
    out_dtype : str
        The output data type. This is used for mixed precision.
    output_padding : tuple of ints
        Used to get the right output shape for gradients
    Returns
    -------
    Output : tvm.te.Tensor
        5-D with shape [batch, out_channel, out_depth, out_height, out_width]
    """
    return declaration_conv3d_transpose_impl(
        Input, Filter, strides, padding, out_dtype, output_padding
    )