Files

dependabot[bot] 2c5e7bc650 Bump tensorflow from 2.10.0 to 2.10.1 in /core/iwasm/libraries/wasi-nn/test (#1735 )

Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.10.0 to 2.10.1.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](https://github.com/tensorflow/tensorflow/compare/v2.10.0...v2.10.1)

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

2022-11-22 16:21:06 +08:00

test

Bump tensorflow from 2.10.0 to 2.10.1 in /core/iwasm/libraries/wasi-nn/test (#1735 )

2022-11-22 16:21:06 +08:00

.dockerignore

Integrate WASI-NN into WAMR (#1521 )

2022-10-12 12:09:29 +08:00

logger.h

Integrate WASI-NN into WAMR (#1521 )

2022-10-12 12:09:29 +08:00

README.md

Integrate WASI-NN into WAMR (#1521 )

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wasi_nn_common.h

Integrate WASI-NN into WAMR (#1521 )

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wasi_nn_native.c

Integrate WASI-NN into WAMR (#1521 )

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wasi_nn_tensorflow.cpp

Integrate WASI-NN into WAMR (#1521 )

2022-10-12 12:09:29 +08:00

wasi_nn_tensorflow.hpp

Integrate WASI-NN into WAMR (#1521 )

2022-10-12 12:09:29 +08:00

wasi_nn.cmake

Integrate WASI-NN into WAMR (#1521 )

2022-10-12 12:09:29 +08:00

wasi_nn.h

Integrate WASI-NN into WAMR (#1521 )

2022-10-12 12:09:29 +08:00

README.md

WASI-NN

How to use

Enable WASI-NN in the WAMR by spefiying it in the cmake building configuration as follows,

set (WAMR_BUILD_WASI_NN  1)

The definition of the functions provided by WASI-NN is in the header file core/iwasm/libraries/wasi-nn/wasi_nn.h.

By only including this file in your WASM application you will bind WASI-NN into your module.

Tests

To run the tests we assume that the current directory is the root of the repository.

Build the docker image,

docker build -t wasi-nn -f core/iwasm/libraries/wasi-nn/test/Dockerfile .

Run the container

docker run wasi-nn

If all the tests have run properly you will the the following message in the terminal,

Tests: passed!

What is missing

Only 1 model at a time is supported.
- graph and graph-execution-context are ignored.
Only tensorflow (lite) is supported.
Only cpu is supported.