Computes the absolute value of a tensor.
meridian
.
backend
.
absolute
(
x
,
name
=
None
)
Given a tensor of integer or floating-point values, this operation returns a tensor of the same type, where each element contains the absolute value of the corresponding element in the input.
Given a tensor x
of complex numbers, this operation returns a tensor of type float32
or float64
that is the absolute value of each element in x
. For
a complex number \(a + bj\), its absolute value is computed as
\(\sqrt{a^2 + b^2}\).
For example:
>>>
# real number
>>>
x
=
tf
.
constant
([
-
2.25
,
3.25
])
>>>
tf
.
abs
(
x
)
< tf
.
Tensor
:
shape
=
(
2
,),
dtype
=
float32
,
numpy
=
array
([
2.25
,
3.25
],
dtype
=
float32
)
>
>>>
# complex number
>>>
x
=
tf
.
constant
([[
-
2.25
+
4.75j
],
[
-
3.25
+
5.75j
]])
>>>
tf
.
abs
(
x
)
< tf
.
Tensor
:
shape
=
(
2
,
1
),
dtype
=
float64
,
numpy
=
array
([[
5.25594901
],
[
6.60492241
]])
>
Returns
A
Tensor
or SparseTensor
of the same size, type and sparsity as x
,
with absolute values. Note, for complex64
or complex128
input, the
returned Tensor
will be of type float32
or float64
, respectively. If x
is a SparseTensor
, returns SparseTensor(x.indices, tf.math.abs(x.values, ...), x.dense_shape)
