whisper-rs
XNNPACK
| whisper-rs | XNNPACK | |
|---|---|---|
| 2 | 8 | |
| 584 | 1,717 | |
| - | 2.6% | |
| 8.7 | 9.9 | |
| 7 days ago | 2 days ago | |
| Rust | C | |
| The Unlicense | GNU General Public License v3.0 or later |
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whisper-rs
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extract audio/speech as plain text (such as CC) from a video file (.MP4, .MOV)
You might want to look at whisper-rs which are bindings to whisper.cpp: https://github.com/tazz4843/whisper-rs.
- [P] Pure C/C++ port of OpenAI's Whisper
XNNPACK
- Xnnpack: High-efficiency floating-point neural network inference operators
- Can a NPU be used for vectors?
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Performance critical ML: How viable is Rust as an alternative to C++
Why are you writing your own inference code in C++ or Rust instead of using some kind of established framework like XNNPACK?
- [P] Pure C/C++ port of OpenAI's Whisper
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[Discussion] Is XNNPACK a part of mediapipe? or should be additionally configured with mediapipe?
XNNPACK - https://github.com/google/XNNPACK
- WebAssembly Techniques to Speed Up Matrix Multiplication by 120x
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Prediction: Macs won't see many new games, no matter how powerful their hardware is
Ok, concrete example time! At work, we're going to be using some software which includes XNNPACK, which is a library of highly-optimised operations for doing neural-network inference. This is the sort of thing where people have gone in and specifically tuned for performance, and nope, there's no attempt at all made to have code which is different for Intel/AMD or Apple/Other ARM. What they target is elements of the ISA, like NEON (i.e. ARM SIMD) and SSE, AVX etc. on x86(-64). And Wasm SIMD for Wasm.
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Where are Nvidia's DLSS models stored and how big are they?
It's quite simple. https://github.com/google/XNNPACK for example.
What are some alternatives?
DeepSpeed-MII - MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
AITemplate - AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
gemm-benchmark - Simple [sd]gemm benchmark, similar to ACES dgemm
HIP-CPU - An implementation of HIP that works on CPUs, across OSes.
cpuid2cpuflags - Tool to generate CPU_FLAGS_* for your CPU
wasmblr - C++ WebAssembly assembler in a single header file
Genann - simple neural network library in ANSI C
ruby-fann - Ruby library for interfacing with FANN (Fast Artificial Neural Network)