tf.size

Returns the size of a tensor.

tf.size(
    input, out_type=tf.dtypes.int32, name=None
)

Used in the notebooks

Used in the guide	Used in the tutorials
Introduction to Tensors	Transformer model for language understanding Federated Learning for Image Classification

For example:

t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]])
tf.size(t)
<tf.Tensor: shape=(), dtype=int32, numpy=12>

Args
`input`	A `Tensor` or `SparseTensor`.
`name`	A name for the operation (optional).
`out_type`	(Optional) The specified non-quantized numeric output type of the operation. Defaults to `tf.int32`.

Returns
A `Tensor` of type `out_type`. Defaults to `tf.int32`.

Numpy Compatibility

Equivalent to np.size()

TensorFlow

tf / size

Used in the notebooks

For example:

Args

Returns

Numpy Compatibility

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 / size

Used in the notebooks

For example:

Args

Returns

Numpy Compatibility