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

tf.math.add_n

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Returns the element-wise sum of a list of tensors.

View aliases

Main aliases

tf.add_n

Compat aliases for migration

SeeMigration guide for more details.

tf.compat.v1.add_n, tf.compat.v1.math.add_n

tf.math.add_n(
    inputs, name=None
)

Used in the notebooks

Used in the guide Used in the tutorials
Validating correctness & numerical equivalence Use TF1.x models in TF2 workflows Effective Tensorflow 2 Distributed training with TensorFlow Use a GPU Neural style transfer Custom training with tf.distribute.Strategy Custom training loop with Keras and MultiWorkerMirroredStrategy Parameter server training with ParameterServerStrategy Overfit and underfit

All inputs in the list must have the same shape. This op does notbroadcastits inputs. If you need broadcasting, use tf.math.add (or the + operator) instead.

For example:

a = tf.constant([[3, 5], [4, 8]]) b = tf.constant([[1, 6], [2, 9]]) tf.math.add_n([a, b, a]).numpy() array([[ 7, 16], [10, 25]], dtype=int32)

See Also:

Args
inputs A list of tf.Tensor or tf.IndexedSlices objects, each with the same shape and type. tf.IndexedSlices objects will be converted into dense tensors prior to adding.
name A name for the operation (optional).
Returns
A tf.Tensor of the same shape and type as the elements of inputs.
Raises
ValueError If inputs don't all have same shape and dtype or the shape cannot be inferred.

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Last updated 2024-04-26 UTC.