def last(seq, name=''):
'''
Returns the last element of its symbolic input sequence `seq`
Example:
>>> import cntk.ops as C
>>> import numpy as np
>>> x = C.input_variable(shape=(3,2))
>>> y = C.sequence.last(x)
>>> x0 = np.reshape(np.arange(24.0,dtype=np.float32),(4,3,2))
>>> y.eval({x:x0})
array([[[[ 18., 19.],
[ 20., 21.],
[ 22., 23.]]]], dtype=float32)
Args:
seq: the symbolic tensor denoting a sequence
name (str): the name of the node in the network
Returns:
:class:`cntk.Function`
'''
from cntk.cntk_py import last
seq = sanitize_input(seq, get_data_type(seq))
return last(seq, name)
def last(seq, name=''):
'''
Returns the last element of its symbolic input sequence ``seq``
Example:
>>> import cntk.ops as C
>>> import numpy as np
>>> x = C.input_variable(shape=(3,2))
>>> y = C.sequence.last(x)
>>> x0 = np.reshape(np.arange(24.0,dtype=np.float32),(4,3,2))
>>> y.eval({x:x0})
array([[[[ 18., 19.],
[ 20., 21.],
[ 22., 23.]]]], dtype=float32)
Args:
seq: the symbolic tensor denoting a sequence
name (str): the name of the node in the network
Returns:
:class:`cntk.Function`
'''
from cntk.cntk_py import last
seq = sanitize_input(seq, get_data_type(seq))
return last(seq, name)
def last(operand, name=''):
'''
TBA
Example:
TBA
Args:
operand: the symbolic tensor operand denoting a sequence
name (str): the name of the node in the network
Returns:
:class:`cntk.Function`
'''
from cntk.cntk_py import last
operand = sanitize_input(operand, get_data_type(operand))
return last(operand, name)
def last(operand, name=''):
'''
TBA
Example:
TBA
Args:
operand: the symbolic tensor operand denoting a sequence
name (str): the name of the node in the network
Returns:
:class:`cntk.Function`
'''
from cntk.cntk_py import last
operand = sanitize_input(operand, get_data_type(operand))
return last(operand, name)
def last(seq, name=''):
'''
Returns the last element of its symbolic input sequence ``seq``
Example:
>>> x = C.sequence.input(shape=(3,2))
>>> y = C.sequence.last(x)
>>> # create one sequence of 4 tensors each with shape (3,2)
>>> x0 = np.reshape(np.arange(24.0,dtype=np.float32),(1,4,3,2))
>>> y.eval({x:x0})
array([[[ 18., 19.],
[ 20., 21.],
[ 22., 23.]]], dtype=float32)
Args:
seq: the symbolic tensor denoting a sequence
name (str): the name of the node in the network
Returns:
:class:`~cntk.ops.functions.Function`
'''
from cntk.cntk_py import last
seq = sanitize_input(seq, get_data_type(seq))
return last(seq, name)
