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
. All
elements in x
must be complex numbers of the form \(a + bj\). The
absolute value is computed as \( \sqrt{a^2 + b^2}\). For example:
x = tf.constant([[-2.25 + 4.75j], [-3.25 + 5.75j]])
tf.abs(x) # [5.25594902, 6.60492229]
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 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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