We need to fix numpy version since the latest is incompatible.
> A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
- Enable debugging a WASM loaded and executed from Python.
- Expose API to enable access to list of host directories. Similar to --dir in iwasm.
- Add another python language binding sample: native-symbol.
## Context
Some native libraries may want to explicitly delete an externref object without
waiting for the module instance to be deleted.
In addition, it may want to add a cleanup function.
## Proposed Changes
Implement:
* `wasm_externref_objdel` to explicitly delete an externeref'd object.
* `wasm_externref_set_cleanup` to set a cleanup function that is called when
the externref'd object is deleted.
## Context
Currently, WAMR supports compiling iwasm with flag `WAMR_BUILD_WASI_NN`.
However, there are scenarios where the user might prefer having it as a shared library.
## Proposed Changes
Decouple wasi-nn context management by internally managing the context given
a module instance reference.
## Context
Path to models use `/assets` for testing inside docker. While testing directly from
the repo we are forced to use soft-links or modify the paths.
## Proposed Changes
Use relative path and adjust docker volumes in docs.
Major changes:
- Public headers inside `wasi-nn/include`
- Put cmake files in `cmake` folder
- Make linux iwasm link with `${WASI_NN_LIBS}` so iwasm can enable wasi-nn
Before adding the new bindings:
1. Moved wasm-c-api in a subfolder wasmcapi in the package.
2. Adapted the tests to be able to run in this new structure.
New:
1. Added the WAMR API in another folder wamrapi in the same level as wasm-c-api.
2. Created an OOP proposal.
3. Added an example using this proposal.
- Split logic in several dockers
- runtime: wasi-nn-cpu and wasi-nn- Nvidia-gpu.
- compilation: wasi-nn-compile. Prepare the testing wasm and generates the TFLites.
- Implement GPU support for TFLite with Opencl.
Initial integration of WASI-NN based on #1225:
- Implement the library core/iwasm/libraries/wasi-nn
- Support TensorFlow, CPU, F32 at the first stage
- Add cmake variable `-DWAMR_BUILD_WASI_NN`
- Add test case based on Docker image and update document
Refer to #1573
