tf.math.add

TensorFlow 1 version

View source on GitHub

Returns the element-wise argument of a complex (or real) tensor.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.angle, tf.compat.v1.math.angle

tf.math.angle(
    input, name=None
)

Given a tensor input, this operation returns a tensor of type float that is the argument of each element in input considered as a complex number.

The elements in input are considered to be complex numbers of the form \(a + bj\), where a is the real part and b is the imaginary part. If input is real then b is zero by definition.

The argument returned by this function is of the form \(atan2(b, a)\). If input is real, a tensor of all zeros is returned.

For example:

input = tf.constant([-2.25 + 4.75j, 3.25 + 5.75j], dtype=tf.complex64)
tf.math.angle(input).numpy()
# ==> array([2.0131705, 1.056345 ], dtype=float32)

Args
`input`	A `Tensor`. Must be one of the following types: `float`, `double`, `complex64`, `complex128`.
`name`	A name for the operation (optional).

Returns
A `Tensor` of type `float32` or `float64`.

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.math / add

View aliases

For example:

Args

Returns