commit | 05d81f2810f5cc2008431785e56ec69d510c1aca | [log] [tgz] |
---|---|---|
author | Won Jeon <won.jeon@arm.com> | Fri Apr 19 17:38:02 2024 +0000 |
committer | Won Jeon <won.jeon@arm.com> | Fri Apr 19 18:32:54 2024 +0000 |
tree | 5e0682e8fbce7b60d4fda232dcace984651ae683 | |
parent | 793a6c5088d1cb59753eccc158173fbab8e44190 [diff] |
Update serialization_lib submodule TF_REFSPEC: refs/changes/33/845833/5 Signed-off-by: Won Jeon <won.jeon@arm.com> Change-Id: Iac9487002d5360a8c19745ced16f352f13bbbb98
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.