def floor(arg, name=None):
"""
The output of this operation is the element wise value rounded to the largest
integer less than or equal to the input.
Example:
>>> C.eval(C.floor([0.2, 1.3, 4., 5.5, 0.0]))
[array([[ 0., 1., 4., 5., 0.]])]
>>> C.eval(C.floor([[0.6, 3.3], [1.9, 5.6]]))
[array([[[ 0., 3.],
[ 1., 5.]]])]
>>> C.eval(C.floor([-5.5, -4.2, -3., -0.7, 0]))
[array([[-6., -5., -3., -1., 0.]])]
>>> C.eval(C.floor([[-0.6, -4.3], [1.9, -3.2]]))
[array([[[-1., -5.],
[ 1., -4.]]])]
Args:
arg: input tensor
name (str): the name of the node in the network (optional)
Returns:
:class:`cntk.graph.ComputationNode`
"""
from cntk.ops.cntk2 import Floor
op = Floor(arg, name=name)
wrap_numpy_arrays(op)
op.rank = op._.rank
return op
def floor(arg, name=None):
"""
The output of this operation is the element wise value rounded to the largest
integer less than or equal to the input.
Example:
>>> C.eval(C.floor([0.2, 1.3, 4., 5.5, 0.0]))
[array([[ 0., 1., 4., 5., 0.]])]
>>> C.eval(C.floor([[0.6, 3.3], [1.9, 5.6]]))
[array([[[ 0., 3.],
[ 1., 5.]]])]
>>> C.eval(C.floor([-5.5, -4.2, -3., -0.7, 0]))
[array([[-6., -5., -3., -1., 0.]])]
>>> C.eval(C.floor([[-0.6, -4.3], [1.9, -3.2]]))
[array([[[-1., -5.],
[ 1., -4.]]])]
Args:
arg: input tensor
name: the name of the node in the network (optional)
Returns:
:class:`cntk.graph.ComputationNode`
"""
from cntk.ops.cntk2 import Floor
op = Floor(arg, name = name)
wrap_numpy_arrays(op)
op.rank = op._.rank
return op