tf.math.abs | TensorFlow v2.16.1 (original) (raw)

tf.math.abs

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Computes the absolute value of a tensor.

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Main aliases

tf.abs

Compat aliases for migration

SeeMigration guide for more details.

tf.compat.v1.abs

tf.math.abs(
    x, name=None
)

Used in the notebooks

Used in the guide	Used in the tutorials
Training checkpoints Matrix approximation with Core APIs Estimators Better performance with tf.function TF-NumPy Type Promotion	CycleGAN Neural style transfer Simple audio recognition: Recognizing keywords pix2pix: Image-to-image translation with a conditional GAN Integrated gradients

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 typefloat32 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]])>

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, returnsSparseTensor(x.indices, tf.math.abs(x.values, ...), x.dense_shape)