node-gyp
onnxruntime
node-gyp | onnxruntime | |
---|---|---|
23 | 54 | |
9,686 | 12,736 | |
0.7% | 2.7% | |
8.1 | 10.0 | |
12 days ago | 6 days ago | |
Python | C++ | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
node-gyp
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Deep Learning in JavaScript
The benefit of having it in JS is not speed but portability and access to the JS ecosystem of tools. Having the code run in the browser without needing a complex setup is a huge benefit for sharing demos. Node.js provides a way to use native code as well and it's quite commonly used https://github.com/nodejs/node-gyp so there's no reason you couldn't use those same or similar libraries in a JS implementation.
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Why is node_modules heavier than the universe? (No seriously, why is it so big?)
It is still possible to execute binaries made in other languages such as C/C++ by linking it dynamically as Native Addon Modules in Node.js using tools like node-gyp. But the execution in those case is done by the operating system, not the JS Engine.
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I can't install tfjs-node(npm install @tensorflow/tfjs-node)
npm ERR! A complete log of this run can be found in: C:\Users\ASUS\AppData\Local\npm-cache\_logs\2023-07-13T06_54_24_745Z-debug-0.log PS C:\Users\ASUS\Documents\Sample Project\Audio to Text\scripts> npm install @tensorflow/tfjs-node npm ERR! code 1 npm ERR! path C:\Users\ASUS\Documents\Sample Project\Audio to Text\node_modules\@tensorflow\tfjs-node npm ERR! command failed npm ERR! command C:\WINDOWS\system32\cmd.exe /d /s /c node scripts/install.js npm ERR! CPU-windows-4.8.0.zip npm ERR! https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-windows-x86_64-2.9.1.zip npm ERR! node-pre-gyp install failed with error: Error: Command failed: node-pre-gyp install --fallback-to-build npm ERR! node-pre-gyp info it worked if it ends with ok npm ERR! node-pre-gyp info using [email protected] npm ERR! node-pre-gyp info using [email protected] | win32 | x64 npm ERR! node-pre-gyp info check checked for "C:\Users\ASUS\Documents\Sample Project\Audio to Text\node_modules\@tensorflow\tfjs-node\lib\napi-v8\tfjs_binding.node" (not found) npm ERR! node-pre-gyp http GET https://storage.googleapis.com/tf-builds/pre-built-binary/napi-v8/4.8.0/CPU-windows-4.8.0.zip npm ERR! node-pre-gyp ERR! install response status 404 Not Found on https://storage.googleapis.com/tf-builds/pre-built-binary/napi-v8/4.8.0/CPU-windows-4.8.0.zip npm ERR! node-pre-gyp WARN Pre-built binaries not installable for @tensorflow/[email protected] and [email protected] (node-v108 ABI, unknown) (falling back to source compile with node-gyp) npm ERR! node-pre-gyp WARN Hit error response status 404 Not Found on https://storage.googleapis.com/tf-builds/pre-built-binary/napi-v8/4.8.0/CPU-windows-4.8.0.zip npm ERR! gyp info it worked if it ends with ok npm ERR! gyp info using [email protected] npm ERR! gyp info using [email protected] | win32 | x64 npm ERR! gyp info ok npm ERR! gyp info it worked if it ends with ok npm ERR! gyp info using [email protected] npm ERR! gyp info using [email protected] | win32 | x64 npm ERR! gyp info find Python using Python version 3.7.9 found at "C:\Users\ASUS\AppData\Local\Microsoft\WindowsApps\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\python.exe" npm ERR! gyp ERR! find VS npm ERR! gyp ERR! find VS msvs_version not set from command line or npm config npm ERR! gyp ERR! find VS VCINSTALLDIR not set, not running in VS Command Prompt npm ERR! gyp ERR! find VS checking VS2022 (17.6.33815.320) found at: npm ERR! gyp ERR! find VS "C:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools" npm ERR! gyp ERR! find VS - found "Visual Studio C++ core features" npm ERR! gyp ERR! find VS - missing any VC++ toolset npm ERR! gyp ERR! find VS could not find a version of Visual Studio 2017 or newer to use npm ERR! gyp ERR! find VS looking for Visual Studio 2015 npm ERR! gyp ERR! find VS - not found npm ERR! gyp ERR! find VS not looking for VS2013 as it is only supported up to Node.js 8 npm ERR! gyp ERR! find VS npm ERR! gyp ERR! find VS ************************************************************** npm ERR! gyp ERR! find VS You need to install the latest version of Visual Studio npm ERR! gyp ERR! find VS including the "Desktop development with C++" workload. npm ERR! gyp ERR! find VS For more information consult the documentation at: npm ERR! gyp ERR! find VS https://github.com/nodejs/node-gyp#on-windows npm ERR! gyp ERR! find VS ************************************************************** npm ERR! gyp ERR! find VS npm ERR! gyp ERR! configure error npm ERR! gyp ERR! stack Error: Could not find any Visual Studio installation to use npm ERR! gyp ERR! stack at VisualStudioFinder.fail (C:\Users\ASUS\AppData\Roaming\npm\node_modules\npm\node_modules\node-gyp\lib\find-visualstudio.js:122:47) npm ERR! gyp ERR! stack at C:\Users\ASUS\AppData\Roaming\npm\node_modules\npm\node_modules\node-gyp\lib\find-visualstudio.js:75:16 npm ERR! gyp ERR! stack at VisualStudioFinder.findVisualStudio2013 (C:\Users\ASUS\AppData\Roaming\npm\node_modules\npm\node_modules\node-gyp\lib\find-visualstudio.js:380:14) npm ERR! gyp ERR! stack at C:\Users\ASUS\AppData\Roaming\npm\node_modules\npm\node_modules\node-gyp\lib\find-visualstudio.js:71:14 npm ERR! gyp ERR! stack at C:\Users\ASUS\AppData\Roaming\npm\node_modules\npm\node_modules\node-gyp\lib\find-visualstudio.js:401:16 npm ERR! gyp ERR! stack at C:\Users\ASUS\AppData\Roaming\npm\node_modules\npm\node_modules\node-gyp\lib\util.js:54:7 npm ERR! gyp ERR! stack at C:\Users\ASUS\AppData\Roaming\npm\node_modules\npm\node_modules\node-gyp\lib\util.js:33:16 npm ERR! gyp ERR! stack at ChildProcess.exithandler (node:child_process:427:5) npm ERR! gyp ERR! stack at ChildProcess.emit (node:events:513:28) npm ERR! gyp ERR! stack at maybeClose (node:internal/child_process:1091:16) npm ERR! gyp ERR! System Windows_NT 10.0.22621 npm ERR! gyp ERR! command "C:\\Program Files\\nodejs\\node.exe" "C:\\Users\\ASUS\\AppData\\Roaming\\npm\\node_modules\\npm\\node_modules\\node-gyp\\bin\\node-gyp.js" "configure" "--fallback-to-build" "--module=C:\\Users\\ASUS\\Documents\\Sample Project\\Audio to Text\\node_modules\\@tensorflow\\tfjs-node\\lib\\napi-v8\\tfjs_binding.node" "--module_name=tfjs_binding" "--module_path=C:\\Users\\ASUS\\Documents\\Sample Project\\Audio to Text\\node_modules\\@tensorflow\\tfjs-node\\lib\\napi-v8" "--napi_version=8" "--node_abi_napi=napi" "--napi_build_version=8" "--node_napi_label=napi-v8" npm ERR! gyp ERR! cwd C:\Users\ASUS\Documents\Sample Project\Audio to Text\node_modules\@tensorflow\tfjs-node npm ERR! gyp ERR! node -v v18.16.0 npm ERR! gyp ERR! node-gyp -v v9.4.0 npm ERR! gyp ERR! not ok npm ERR! node-pre-gyp ERR! build error npm ERR! node-pre-gyp ERR! stack Error: Failed to execute 'C:\Program Files\nodejs\node.exe C:\Users\ASUS\AppData\Roaming\npm\node_modules\npm\node_modules\node-gyp\bin\node-gyp.js configure --fallback-to-build --module=C:\Users\ASUS\Documents\Sample Project\Audio to Text\node_modules\@tensorflow\tfjs-node\lib\napi-v8\tfjs_binding.node --module_name=tfjs_binding --module_path=C:\Users\ASUS\Documents\Sample Project\Audio to Text\node_modules\@tensorflow\tfjs-node\lib\napi-v8 --napi_version=8 --node_abi_napi=napi --napi_build_version=8 --node_napi_label=napi-v8' (1) npm ERR! node-pre-gyp ERR! stack at ChildProcess. (C:\Users\ASUS\Documents\Sample Project\Audio to Text\node_modules\@mapbox\node-pre-gyp\lib\util\compile.js:89:23) npm ERR! node-pre-gyp ERR! stack at ChildProcess.emit (node:events:513:28) npm ERR! node-pre-gyp ERR! stack at maybeClose (node:internal/child_process:1091:16) npm ERR! node-pre-gyp ERR! stack at ChildProcess._handle.onexit (node:internal/child_process:302:5) npm ERR! node-pre-gyp ERR! System Windows_NT 10.0.22621 npm ERR! node-pre-gyp ERR! command "C:\\Program Files\\nodejs\\node.exe" "C:\\Users\\ASUS\\Documents\\Sample Project\\Audio to Text\\node_modules\\@mapbox\\node-pre-gyp\\bin\\node-pre-gyp" "install" "--fallback-to-build" npm ERR! node-pre-gyp ERR! cwd C:\Users\ASUS\Documents\Sample Project\Audio to Text\node_modules\@tensorflow\tfjs-node npm ERR! node-pre-gyp ERR! node -v v18.16.0 npm ERR! node-pre-gyp ERR! node-pre-gyp -v v1.0.9 npm ERR! node-pre-gyp ERR! not ok npm ERR! * Downloading libtensorflow npm ERR! npm ERR! * Building TensorFlow Node.js bindings npm ERR! A complete log of this run can be found in: C:\Users\ASUS\AppData\Local\npm-cache\_logs\2023-07-13T07_03_46_164Z-debug-0.log
- Can not install Auto GPT and Baby AGI...
- Node development enviro as a VM?
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How do I learn system programming?
create a native Node package using node-gyp
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Proper Windows Notifications on Electron
These are the bare minimum. You can also target other API levels like @nodert-win10-au, etc. You'll need to set up node-gyp with Python and Windows Build Tools and install the Windows 10 SDK corresponding to the version of the NodeRT package you pulled in.
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Big Changes Ahead for Deno
I assume it's use of node-gyp, the native plugin system.
https://github.com/nodejs/node-gyp
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std::format (and other C++20 functionality) in node-gyp / node-addon-api?
I got it from here. Using -std=c++20 gives me cl : command line warning D9002: ignoring unknown option '-std=c++20'
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Stucked :( Jonas Schmedtmann's JavaScript Udemy course.
Read the docs https://github.com/nodejs/node-gyp#on-windows
onnxruntime
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Machine Learning with PHP
ONNX Runtime: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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AI Inference now available in Supabase Edge Functions
Embedding generation uses the ONNX runtime under the hood. This is a cross-platform inferencing library that supports multiple execution providers from CPU to specialized GPUs.
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Deep Learning in JavaScript
tfjs is dead, looking at the commit history. The standard now is to convert PyTorch to onnx, then use onnxruntime (https://github.com/microsoft/onnxruntime/tree/main/js/web) to run the model on the browsdr.
- FLaNK Stack 05 Feb 2024
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Vcc – The Vulkan Clang Compiler
- slang[2] has the potential, but the meta programming part is not as strong as C++, existing libraries cannot be used.
The above conclusion is drawn from my work https://github.com/microsoft/onnxruntime/tree/dev/opencl, purely nightmare to work with thoes drivers and jit compilers. Hopefully Vcc can take compute shader more seriously.
[1]: https://www.circle-lang.org/
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Oracle-samples/sd4j: Stable Diffusion pipeline in Java using ONNX Runtime
I did. It depends what you want, for an overview of how ONNX Runtime works then Microsoft have a bunch of things on https://onnxruntime.ai, but the Java content is a bit lacking on there as I've not had time to write much. Eventually I'll probably write something similar to the C# SD tutorial they have on there but for the Java API.
For writing ONNX models from Java we added an ONNX export system to Tribuo in 2022 which can be used by anything on the JVM to export ONNX models in an easier way than writing a protobuf directly. Tribuo doesn't have full coverage of the ONNX spec, but we're happy to accept PRs to expand it, otherwise it'll fill out as we need it.
- Mamba-Chat: A Chat LLM based on State Space Models
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VectorDB: Vector Database Built by Kagi Search
What about models besides GPT? Most of the popular vector encoding models aren't using this architecture.
If you really didn't want PyTorch/Transformers, you could consider exporting your models to ONNX (https://github.com/microsoft/onnxruntime).
- ONNX runtime: Cross-platform accelerated machine learning
- Onnx Runtime: “Cross-Platform Accelerated Machine Learning”
What are some alternatives?
urix - [DEPRECATED] Makes Windows-style paths more unix and URI friendly.
onnx - Open standard for machine learning interoperability
node-sqlite3 - SQLite3 bindings for Node.js
onnx-tensorrt - ONNX-TensorRT: TensorRT backend for ONNX
neon - Rust bindings for writing safe and fast native Node.js modules.
onnx-simplifier - Simplify your onnx model
npx - execute npm package binaries (moved)
ONNX-YOLOv7-Object-Detection - Python scripts performing object detection using the YOLOv7 model in ONNX.
filetags - Management of simple tags within file names
onnx-tensorflow - Tensorflow Backend for ONNX
detox - Tames problematic filenames
MLflow - Open source platform for the machine learning lifecycle