tf.math.abs
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Computes the absolute value of a tensor.
tf.math.abs(
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
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]])>
Args |
x
|
A Tensor or SparseTensor of type float16 , float32 , float64 ,
int32 , int64 , complex64 or complex128 .
|
name
|
A name for the operation (optional).
|
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)
|
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Last updated 2020-10-01 UTC.
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