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)
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)
