Stay organized with collections
Save and categorize content based on your preferences.
tensorflow::ops::SerializeManySparse
#include <sparse_ops.h>
Serialize an N-minibatch SparseTensor into an [N, 3]Tensor object.
Summary
The SparseTensor must have rank R greater than 1, and the first dimension is treated as the minibatch dimension. Elements of the SparseTensor must be sorted in increasing order of this first dimension. The serialized SparseTensor objects going into each row of serialized_sparse will have rank R-1.
The minibatch size N is extracted from sparse_shape[0].
Args:
- scope: A Scope object
- sparse_indices: 2-D. The
indices of the minibatch SparseTensor.
- sparse_values: 1-D. The
values of the minibatch SparseTensor.
- sparse_shape: 1-D. The
shape of the minibatch SparseTensor.
Optional attributes (see Attrs):
- out_type: The
dtype to use for serialization; the supported types are string (default) and variant.
Returns:
Output: The serialized_sparse tensor.
Public static functions
|
OutType(DataType x)
|
|
Public attributes
Public functions
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
OutType
Attrs OutType(
DataType x
)
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2021-11-15 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-11-15 UTC."],[],[],null,["# tensorflow::ops::SerializeManySparse Class Reference\n\ntensorflow::ops::SerializeManySparse\n====================================\n\n`#include \u003csparse_ops.h\u003e`\n\nSerialize an `N`-minibatch `SparseTensor` into an `[N, 3]`[Tensor](/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) object.\n\nSummary\n-------\n\nThe `SparseTensor` must have rank `R` greater than 1, and the first dimension is treated as the minibatch dimension. Elements of the `SparseTensor` must be sorted in increasing order of this first dimension. The serialized `SparseTensor` objects going into each row of `serialized_sparse` will have rank `R-1`.\n\nThe minibatch size `N` is extracted from `sparse_shape[0]`.\n\nArgs:\n\n- scope: A [Scope](/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- sparse_indices: 2-D. The `indices` of the minibatch `SparseTensor`.\n- sparse_values: 1-D. The `values` of the minibatch `SparseTensor`.\n- sparse_shape: 1-D. The `shape` of the minibatch `SparseTensor`.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/api_docs/cc/struct/tensorflow/ops/serialize-many-sparse/attrs#structtensorflow_1_1ops_1_1_serialize_many_sparse_1_1_attrs)):\n\n- out_type: The `dtype` to use for serialization; the supported types are `string` (default) and `variant`.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The serialized_sparse tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SerializeManySparse](#classtensorflow_1_1ops_1_1_serialize_many_sparse_1a8b0ce35d9eb1b1fc37fbe016a56e1d62)`(const ::`[tensorflow::Scope](/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sparse_indices, ::`[tensorflow::Input](/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sparse_values, ::`[tensorflow::Input](/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sparse_shape)` ||\n| [SerializeManySparse](#classtensorflow_1_1ops_1_1_serialize_many_sparse_1a9433bfca55151b54355f6be6952584e5)`(const ::`[tensorflow::Scope](/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sparse_indices, ::`[tensorflow::Input](/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sparse_values, ::`[tensorflow::Input](/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sparse_shape, const `[SerializeManySparse::Attrs](/api_docs/cc/struct/tensorflow/ops/serialize-many-sparse/attrs#structtensorflow_1_1ops_1_1_serialize_many_sparse_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_serialize_many_sparse_1ad0bf6a7b871bfa34f2e3be438f685117) | [Operation](/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [serialized_sparse](#classtensorflow_1_1ops_1_1_serialize_many_sparse_1ad8accf23c3264d678f050a59da40ea64) | `::`[tensorflow::Output](/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|---------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_serialize_many_sparse_1a7739b8a72c33da0538593ca0f83715e9)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_serialize_many_sparse_1a133c0f10bcd9f50787a6e29449ee4654)`() const ` | |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_serialize_many_sparse_1a97858863786b75af5f1b18e86b52470a)`() const ` | |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------|\n| [OutType](#classtensorflow_1_1ops_1_1_serialize_many_sparse_1a05cc33d0e457bc120df0e1b365db8ffd)`(DataType x)` | [Attrs](/api_docs/cc/struct/tensorflow/ops/serialize-many-sparse/attrs#structtensorflow_1_1ops_1_1_serialize_many_sparse_1_1_attrs) |\n\n| ### Structs ||\n|---------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::SerializeManySparse::Attrs](/api_docs/cc/struct/tensorflow/ops/serialize-many-sparse/attrs) | Optional attribute setters for [SerializeManySparse](/api_docs/cc/class/tensorflow/ops/serialize-many-sparse#classtensorflow_1_1ops_1_1_serialize_many_sparse). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### serialized_sparse\n\n```scdoc\n::tensorflow::Output serialized_sparse\n``` \n\nPublic functions\n----------------\n\n### SerializeManySparse\n\n```gdscript\n SerializeManySparse(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input sparse_indices,\n ::tensorflow::Input sparse_values,\n ::tensorflow::Input sparse_shape\n)\n``` \n\n### SerializeManySparse\n\n```gdscript\n SerializeManySparse(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input sparse_indices,\n ::tensorflow::Input sparse_values,\n ::tensorflow::Input sparse_shape,\n const SerializeManySparse::Attrs & attrs\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n``` \n\nPublic static functions\n-----------------------\n\n### OutType\n\n```text\nAttrs OutType(\n DataType x\n)\n```"]]
