tf.sets.difference

TensorFlow 1 version

View source on GitHub

Compute number of unique elements along last dimension of a.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.sets.set_size, tf.compat.v1.sets.size

tf.sets.size(
    a, validate_indices=True
)

Args
`a`	`SparseTensor`, with indices sorted in row-major order.
`validate_indices`	Whether to validate the order and range of sparse indices in `a`.

Returns
`int32` `Tensor` of set sizes. For `a` ranked `n`, this is a `Tensor` with rank `n-1`, and the same 1st `n-1` dimensions as `a`. Each value is the number of unique elements in the corresponding `[0...n-1]` dimension of `a`.

Raises
`TypeError`	If `a` is an invalid types.

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.sets / difference

View aliases

Args

Returns

Raises