Stay organized with collections
Save and categorize content based on your preferences.
tensorflow::ops::Save
#include <io_ops.h>
Saves the input tensors to disk.
Summary
The size of tensor_names
must match the number of tensors in data
. data[i]
is written to filename
with name tensor_names[i]
.
See also SaveSlices
.
Args:
- scope: A Scope object
- filename: Must have a single element. The name of the file to which we write the tensor.
- tensor_names: Shape
[N]
. The names of the tensors to be saved.
- data:
N
tensors to save.
Returns:
Public attributes
Public functions
operator::tensorflow::Operation
operator::tensorflow::Operation() const
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 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tensorflow::ops::Save Class Reference\n\ntensorflow::ops::Save\n=====================\n\n`#include \u003cio_ops.h\u003e`\n\nSaves the input tensors to disk.\n\nSummary\n-------\n\nThe size of `tensor_names` must match the number of tensors in `data`. `data[i]` is written to `filename` with name `tensor_names[i]`.\n\nSee also [SaveSlices](/versions/r2.14/api_docs/cc/class/tensorflow/ops/save-slices#classtensorflow_1_1ops_1_1_save_slices).\n\nArgs:\n\n- scope: A [Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- filename: Must have a single element. The name of the file to which we write the tensor.\n- tensor_names: Shape `[N]`. The names of the tensors to be saved.\n- data: `N` tensors to save.\n\n\u003cbr /\u003e\n\nReturns:\n\n- the created [Operation](/versions/r2.14/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Save](#classtensorflow_1_1ops_1_1_save_1a64a5b93d315ac9308651354692ae8825)`(const ::`[tensorflow::Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` filename, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` tensor_names, ::`[tensorflow::InputList](/versions/r2.14/api_docs/cc/class/tensorflow/input-list#classtensorflow_1_1_input_list)` data)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_save_1a260f7c4261ccc370e0d48726e9c017a9) | [Operation](/versions/r2.14/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|-------------------------------------------------------------------------------------------------------------------|---|\n| [operator::tensorflow::Operation](#classtensorflow_1_1ops_1_1_save_1ab957aaf2009c689e9bb7432c7194cd1e)`() const ` | |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### Save\n\n```gdscript\n Save(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input filename,\n ::tensorflow::Input tensor_names,\n ::tensorflow::InputList data\n)\n``` \n\n### operator::tensorflow::Operation\n\n```gdscript\n operator::tensorflow::Operation() const \n```"]]