Trendshift - Ask AI

base on aot compiler <img src="docs/source/image/hercules_img.png"></img> <a href="https://hercules-docs.readthedocs.io/en/latest/">Documentation</a> <a></a>  .  </a> <a href="https://hercules-docs.readthedocs.io/en/latest/">文档</a> <a></a>  .  </a> <a href="CONTRIBUTORS.md">Contributors</a> <a></a>  .  </a> <a href="NEWS.md">Road Map</a> `Hercules`(`HS`) is parts of `EA`(elastic architecture)-`Kumo Search`. The roll of `HS` is to compile `python` and `C/C++` code to `plugin` library called by the upper layer of business eg. `relevance ranking` in `kumo search` or `timeliness ranking`. `HS` is drive by `HIR`, another form of mlir, the inputs can be `python` `hs` `c++`, they will be transformed to the `hir`'s unified `AST`. Finally, transform to ``llvm IR`` compile to a executable program or a `C/C++` callable shared library.   Now, ``HS`` is `0.2.x` milestone. The even-numbered version is the exploration version, we try some new features. Nonetheless, the current version(`0.2.x`) is very usable. * ``0.3.x``milestone will complete `dialect` of `c++ interpreter` and, so that ``HS`` can mixed compilation with c++ freely. python using `pybind` using some pyInit* and load module, For Release users’ mental burden, I imagine it should be like this, just give ``HS`` all you `python` and `C++` code, and the `includes` `links` for c++, then, ``HS`` give back to you the library or executable program or `jit` it. For the purpose, we already write a small tool for project dependencies manage [`carbin`][4], ``carbin`` can easy create project with as less knowledge as possible, it doc at [`carbin docs`][5]. * ``0.5.x``milestone will complete `dialect` of `Vectorization optimization` on cpu base on `simd` instructions, for `kumo` ann. maybe like `halide`. `gpu` is optional, for ``HS`` functional orientation to `easy business`, not `high performance computing` * ``0.7.x``milestone we plan to complete `dialect` of `rpc` `networking` schedule on multi thread and fibers environments. * ``0.9.x``is a big milestone, at this time, we aim to get through ``HS`` call python completely,include call `python`'s `pyext`, `whl pakage` directly. Now, we call `python`'s third party module by calling python's run time. * ``1.x`` after this milestone, we will focus on the upper layer application `plugins`, for example Cluster scheduling, rapid service deployment, solid storage, task of ``NLP``, infer ranking and etc. ## the hercules work flow ![pic][1] # try jupyter in docker ![](docs/source/image/demo_jupyter.gif) run the following command to start a jupyter notebook server in docker the password is `123456` ```bash docker run -p 8888:8888 lijippy/hs_jupyter:r0.2.7 \ /usr/local/bin/jupyter notebook --allow-root --ip 0.0.0.0 ``` [1]: docs/source/image/flow.webp [2]: docs/source/image/hercules_img.png [3]: https://hercules-docs.readthedocs.io/en/latest/ [4]: https://github.com/gottingen/carbin [5]: https://carbin.readthedocs.io/en/latest/", Assign "at most 3 tags" to the expected json: {"id":"9471","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"

AI prompts

AI prompts