tf.io.read

Serialize a SparseTensor into a 3-vector (1-D Tensor) object.

tf.io.serialize_sparse(
    sp_input, out_type=tf.dtypes.string, name=None
)

Args
`sp_input`	The input `SparseTensor`.
`out_type`	The `dtype` to use for serialization.
`name`	A name prefix for the returned tensors (optional).

Returns
A 3-vector (1-D `Tensor`), with each column representing the serialized `SparseTensor`'s indices, values, and shape (respectively).

Raises
`TypeError`	If `sp_input` is not a `SparseTensor`.

TensorFlow

tf.io / read_file

Args

Returns

Raises

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.io / read_file

Args

Returns

Raises