HIP-CPU
whisper-rs
| HIP-CPU | whisper-rs | |
|---|---|---|
| 5 | 2 | |
| 104 | 580 | |
| 2.9% | - | |
| 7.2 | 8.7 | |
| about 1 month ago | 3 days ago | |
| C++ | Rust | |
| MIT License | The Unlicense |
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.
HIP-CPU
- HIP CPU
- [P] Pure C/C++ port of OpenAI's Whisper
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AMD publishes GPUFORT as Open Source to address CUDA’s dominance
If I'm reading this right, this is Fortran's equivalent of HIP, i.e. a way to (semi-)automatically convert CUDA-based solution to a more backend-independent one so that the same source can be run both on CUDA and ROCm GPUs (and potentially more; e.g. they also have an experimental CPU backend).
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Test Coverage with CUDA
So, I know that you asked about cuda, but this might actually be possible in hip, and you can convert your code to hip relatively easily. The path would be to use the CPU implementation (https://github.com/ROCm-Developer-Tools/HIP-CPU) and then run your code coverage on that.
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
What are some alternatives?
AdaptiveCpp - Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!
DeepSpeed-MII - MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
libcudacxx - [ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl
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.
rocFFT - Next generation FFT implementation for ROCm
XNNPACK - High-efficiency floating-point neural network inference operators for mobile, server, and Web
HIP - HIP: C++ Heterogeneous-Compute Interface for Portability
stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
rocBLAS - Next generation BLAS implementation for ROCm platform