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mirror of https://github.com/vee1e/flatbuffers - FlatBuffers: Memory Efficient Serialization Library
f28c2b2936
https://github.com/tensorflow/tflite-micro makes use of flatbuffers with a variety of DSP toolchains. Without the change from this PR, we can get a double-promotion warning with some of these DSP toolchains: ``` flatbuffers/include/flatbuffers/util.h:104:11: error: implicit conversion increases floating-point precision: 'std::numeric_limits<float>::_Ty' (aka 'float') to 'double' [-Werror,-Wdouble-promotion] T eps = std::numeric_limits<float>::epsilon(); ~~~ ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ``` |
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FlatBuffers
FlatBuffers is a cross platform serialization library architected for maximum memory efficiency. It allows you to directly access serialized data without parsing/unpacking it first, while still having great forwards/backwards compatibility.
Go to our landing page to browse our documentation.
Supported operating systems
- Windows
- MacOS X
- Linux
- Android
- And any others with a recent C++ compiler.
Supported programming languages
- C++
- C#
- C
- Dart
- Go
- Java
- JavaScript
- Lobster
- Lua
- PHP
- Python
- Rust
- TypeScript
and more in progress...
Contribution
- FlatBuffers Google Group to discuss FlatBuffers with other developers and users.
- FlatBuffers Issues Tracker to submit an issue.
- stackoverflow.com with
flatbufferstag for any questions regarding FlatBuffers.
To contribute to this project, see CONTRIBUTING.
Security
Please see our Security Policy for reporting vulnerabilities.
Licensing
Flatbuffers is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.