def first(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 first
operand = sanitize_input(operand, get_data_type(operand))
return first(operand, name)
def first(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 first
operand = sanitize_input(operand, get_data_type(operand))
return first(operand, name)
def reduce_max(x, name=''):
"""
Get the max value in the sequence values
Args:
x: input sequence
name: the name of the operator
Returns:
The max value in the input sequence
"""
from ...ops import past_value, future_value, element_select, placeholder, greater
m = placeholder(shape=(1,), dynamic_axes = x.dynamic_axes, name='max')
o = element_select(greater(x, future_value(m)), x, future_value(m))
rlt = o.replace_placeholders({m:sanitize_input(o)})
max_out = first(rlt)
return sanitize_input(max_out)
def first(seq, name=''):
'''
Returns the first element of its symbolic input sequence ``seq``
Example:
>>> x = C.input_variable(shape=(3,2))
>>> y = C.sequence.first(x)
>>> x0 = np.reshape(np.arange(24.0,dtype=np.float32),(4,3,2))
>>> y.eval({x:x0})
array([[[[ 0., 1.],
[ 2., 3.],
[ 4., 5.]]]], 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 first
seq = sanitize_input(seq, get_data_type(seq))
return first(seq, name)
def first(seq, name=''):
'''
Returns the first element of its symbolic input sequence ``seq``
Example:
>>> x = C.input_variable(shape=(3,2))
>>> y = C.sequence.first(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([[[[ 0., 1.],
[ 2., 3.],
[ 4., 5.]]]], 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 first
seq = sanitize_input(seq, get_data_type(seq))
return first(seq, name)
