def reduce_sum(seq, name=''):
'''
Computes the sum of the input sequence's elements across the sequence axis.
Examples:
TBA
Args:
seq: sequence input tensor
name (`str`, optional): the name of the Function instance in the network
Returns:
:class:`~cntk.ops.functions.Function`
'''
from cntk.cntk_py import sequence_reduce_sum
seq = sanitize_input(seq, get_data_type(seq))
return sequence_reduce_sum(seq, name)
def reduce_sum(seq, name=''):
'''
Computes the sum of the input sequence's elements across the sequence axis.
Examples:
>>> x = C.input_variable(shape=(3,2))
>>> # 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 = C.sequence.reduce_sum(x)
>>> y.eval({x:x0})
array([[[[ 36., 40.],
[ 44., 48.],
[ 52., 56.]]]], dtype=float32)
Args:
seq: sequence input tensor
name (`str`, optional): the name of the Function instance in the network
Returns:
:class:`~cntk.ops.functions.Function`
'''
from cntk.cntk_py import sequence_reduce_sum
seq = sanitize_input(seq, get_data_type(seq))
return sequence_reduce_sum(seq, name)
