tf.math.acos

TensorFlow 1 version

Returns x + y element-wise.

View aliases

Main aliases

tf.add

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.add, tf.compat.v1.math.add

tf.math.add(
    x, y, name=None
)

Used in the notebooks

Used in the guide	Used in the tutorials
Eager execution Ragged tensors Introduction to Tensors	Customization basics: tensors and operations Introduction to Fairness Indicators TensorFlow Federated for Image Classification Overview Custom Federated Algorithms, Part 1: Introduction to the Federated Core

Given two input tensors, the tf.add operation computes the sum for every element in the tensor.

Both input and output have a range (-inf, inf).

Args
`x`	A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`, `uint8`, `int8`, `int16`, `int32`, `int64`, `complex64`, `complex128`, `string`.
`y`	A `Tensor`. Must have the same type as `x`.
`name`	A name for the operation (optional).

Returns
A `Tensor`. Has the same type as `x`.

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tf.math / acos

View aliases

Used in the notebooks

Args

Returns