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Georgi Gerganov 93935980f8
whisper : Metal and ggml-alloc support (#1270) 
* metal : init

* whisper : factor out graph builds

* whisper : allocate encoder and decoder using ggml-alloc

* whisper : ggml-alloc is now supported

* whisper : CoreML support ggml-alloc

* build : fix ggml-alloc

* ios : update submodule

* extra : update sync-ggml.sh script to also sync ggml-alloc

* ci : see if this is causing the crash

* whisper : refactor ggml-alloc init

* whisper.android : try to fix build

* whisper : initial Metal version

* ci : try to debug vmem issue

* metal : decoder works on GPU!

* metal : add multi-decoder support

* ggml : fix ggml_nbytes (probably temp solution)

* metal : run "cross" step on the GPU

* whisper : remove ggml_repeat in the encoder

* whisper : offload the Encoder to Metal

* ggml : use simpler ggml_bytes() implementation

* ggml-alloc : try to make CI happy by reducing vram to 128GB

* whisper : add whisper_allocr to wrap ggml_allocr

* whisper : factor out alloc init in a function

* cmake : update to support Metal build

* whisper : add <functional> header

* objc : fix build (no Metal yet)

* ios : add Metal support

* swiftui : fix build

* metal : speed-up KQ multiplication

* metal : sync latest llama.cpp kernels

* readme : add Metal info

* ios : update submodule

* coreml : add code to toggle Core ML config (CPU, ANE, GPU)

* bench : fix timings by running a pre-heat

* bench : start benching the decoder

* whisper : add ggml_mul_mat_pad

* bench : fix uninitialized vars

* whisper : add comment for disabling mul-mat padding

* whisper : add description of ggml_mul_mat_pad

* whisper : clean-up ggml_mul_mat_pad

* metal : remove the "concurrent" flag

* bench : variable n_past

* ios : update SPM package
2023-09-15 12:18:18 +03:00
..
whisper.cpp.swift whisper : add loader class to allow loading from buffer and others (#353) 2023-01-08 13:03:33 +02:00
whisper.swiftui.demo Improve decoding (#291) 2023-01-15 11:29:57 +02:00
whisper.swiftui.xcodeproj whisper : Metal and ggml-alloc support (#1270) 2023-09-15 12:18:18 +03:00
README.md whisper.swiftui : update README.md (#682) 2023-03-29 23:04:38 +03:00

README.md

A sample SwiftUI app using whisper.cpp to do voice-to-text transcriptions. See also: whisper.objc.

Usage:

  1. Select a model from the whisper.cpp repository.1
  2. Add the model to whisper.swiftui.demo/Resources/models via Xcode.
  3. Select a sample audio file (for example, jfk.wav).
  4. Add the sample audio file to whisper.swiftui.demo/Resources/samples via Xcode.
  5. Select the "Release" 2 build configuration under "Run", then deploy and run to your device.

Note: Pay attention to the folder path: whisper.swiftui.demo/Resources/models is the appropriate directory to place resources whilst whisper.swiftui.demo/Models is related to actual code.

image

  1. I recommend the tiny, base or small models for running on an iOS device. ↩︎

  2. The Release build can boost performance of transcription. In this project, it also added -O3 -DNDEBUG to Other C Flags, but adding flags to app proj is not ideal in real world (applies to all C/C++ files), consider splitting xcodeproj in workspace in your own project. ↩︎