commit | beb3ea0819794a9d835142065643a489917c3994 | [log] [tgz] |
---|---|---|
author | Eric Kunze <eric.kunze@arm.com> | Mon Sep 19 14:30:51 2022 -0700 |
committer | Eric Kunze <eric.kunze@arm.com> | Mon Oct 24 13:58:46 2022 -0700 |
tree | 09c6e54e4f49a1006ba243ce16523777a7203280 | |
parent | 5e4073f63247b6d63a0937df8764714d45cd5974 [diff] |
Avoid crash when serializing unranked tensor Report an error instead during serialization. Change-Id: Ib53b1c76079909aaf84f643655939d024d7eec0c
The TOSA MLIR Translator repository implements translators between the TOSA MLIR dialect and serialized representations.
The current implementation supports serialization from MLIR form to flatbuffers. A deserializer from flatbuffers to MLIR form is in development.
##TOSA serialization library https://review.mlplatform.org/plugins/gitiles/tosa/serialization_lib The library includes a FlatBuffers schema and a C++ API for reading and writing a TOSA graph as a flatbuffer.
This repository does not currently build standalone. It must be included within another MLIR repository with a pass manager registering the passes implemented within this repository.
The included CMake rules can be used to add this repository as a submodule. The include/SerializationPasses.h enables MLIR pass registration inclusion.
If target "tosa_serialize" is linked correctly, you should able to see "--tosa-serialize" and "--tosa-serialize-json" options available in your MLIR pass manager/MLIR optimizer.
To serialize a TOSA MLIR graph to TOSA flatbuffer binary file:
<YOUR_MLIR_OPTIMIZER> --tosa-serialize <TOSA_MLIR_GRAPH>
--tosa-flatbuffer-filename <TOSA_FLATBUFFER_FILENAME>
To serialize a TOSA MLIR graph to TOSA flatbuffer JSON file:
<YOUR_MLIR_OPTIMIZER> --tosa-serialize <TOSA_MLIR_GRAPH>
--tosa-flatbuffer-schema <PATH_TO_TOSA_FLATBUFFER_SCHEMA>
--tosa-flatbuffer-filename <TOSA_FLATBUFFER_FILENAME>
where <PATH_TO_TOSA_FLATBUFFER_SCHEMA> is provided within the serialization library submodule in third_party/serialization_lib/schema/tosa.fbs
The TOSA MLIR Translator is licensed under Apache-2.0 with LLVM Exceptions.