def unpack(x, padding_value, no_mask_output=False, name=''): ''' This function unpacks the specified sequence operand 'x' along the most significant static axis [-1] and pads any gaps with the specified 'padding_value'. If the 'no_mask_output' argument is False, the returned Function has 2 outputs; viz. the unpacked non-sequence data and a mask denoting the gaps in the unpacked output due to differences across lengths of the sequences in the operand. Args: x: the sequence tensor (or its name) which is unpacked padding_value (np.float32 or np.float64): The value to pad gaps in the unpacked tensor with. no_mask_output (bool, optional): whether the Function has a mask tensor output denoting the gaps in the unpacked output due to differences across lengths of the sequences in the operand. name (str, optional): the name of the Function instance in the network Returns: :class:`~cntk.ops.functions.Function` Todo: add an example ''' from cntk.cntk_py import unpack x = sanitize_input(x) return unpack(x, padding_value, no_mask_output, name)