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..

28 Commits

Author SHA1 Message Date
270b1e48db cuda : sync llama.cpp fixes 2023-11-15 15:52:06 +02:00
b7c82a37b1 whisper : enable beam-search by default 2023-11-15 15:36:45 +02:00
4c245ea108 whisper : avoid starting sampling threads with bs=1 2023-11-15 13:41:38 +02:00
820f45895e whisper : add check for max number of decoders 2023-11-15 13:28:16 +02:00
6c8a003acf whisper : add comment about the KV cache size 2023-11-14 23:00:57 +02:00
ae1bd69041 bench : add batch size 5 bench 2023-11-14 22:45:08 +02:00
3ed9af34f2 whisper : fix decoders initializer 2023-11-14 22:14:52 +02:00
9006946e4b whisper : speed-up sampling 2023-11-14 22:05:31 +02:00
d77603578b whisper : clear kv cache when using whisper_decode API 2023-11-14 21:04:33 +02:00
b2123cb463 whisper : fix mem leak again + remove oboslete function 2023-11-14 19:12:21 +02:00
3d24e35f49 whisper : fix memory leak in whisper_batch 2023-11-14 17:14:22 +02:00
91096daa1a whisper : full batched decoding support 2023-11-14 16:57:28 +02:00
8b943f9843 whisper : move kv_self to whisper_state 2023-11-14 14:59:08 +02:00
3cbaaed060 whisper : add whisper_batch 2023-11-14 10:24:04 +02:00
d4231649e6 java : use tiny.en for tests (#1484)
* java : use tiny.en for tests

* java : try to fix full params struct
2023-11-13 16:53:55 +02:00
3e5c7feeff whisper : add grammar-based sampling (#1229)
* whisper : add grammar-based sampling

* build : fix after master merge

* command : fix exception when recognizing the command

* whisper : fine-tuning grammar functionality

* command : grammar-related improvements

- option to read grammar from file
- add sample grammars for colors and chess moves
- fine-tune the performance further

* grammars : add assistant + update comments

* command : enable beam-search, add "no_timestamps", add "context", add p

* whisper : remove comment

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-11-13 10:51:34 +02:00
c23598e4ca talk-llama : add n_gpu_layers parameter (#1475) 2023-11-13 10:04:16 +02:00
54a08bde29 examples : add whisper.android.java for compatibility with older Android versions using Java (#1382)
* save the recorded audio to a file

* Alignment -help

* Save the correct audio

* chage to a consistent coding style

* Correct typo

* Update examples/stream/stream.cpp

* Update examples/stream/stream.cpp

* Correct variable misuse

* Update examples/stream/stream.cpp

* Update examples/stream/stream.cpp

* Update examples/stream/stream.cpp

* Update examples/stream/stream.cpp

* add *.bin .cxx/ .gradle/ cmake-build-debug/ to gitignore

* add whisper.android.java

* Added support for older versions of Android of Java

* add examples for android java

* add README.md for android java

* add fullTranscribeWithTime

* 增加 toString()方法和测试

* change return type to void

* update to v1.4.1

* add WhisperService

* chage to whisper_full_get_segment_t1

* add method transcribeDataWithTime

* modified toString
```
return "[" + start + " --> " + end + "]:" + sentence;
```

* Optimize code logic

* update text view on handle

* set max lines

* change Chinese to English

* Update bindings/java/build.gradle

* Update .gitignore

* add android.java to github action

* chage android.java to   android_java in build.yml

* remove gradle

* chage jdk to temurin in android_java of CI

* chage jdk to temurin 11 in android_java of CI

* add x to gradlew

* set api-level for android_java of CI

* Update examples/whisper.android.java/app/src/main/jni/whisper/CMakeLists.txt

* add ndk version in build.gradle

* remove local.properties

* add testFullTranscribeWithTime

---------

Co-authored-by: litongmacos <litongjava@qq.com>
Co-authored-by: bobqianic <129547291+bobqianic@users.noreply.github.com>
2023-11-12 18:31:58 +02:00
9f8bbd3fee readme : update comment about source code 2023-11-12 17:47:37 +02:00
3172006a24 ggml : fix some compile warnings 2023-11-12 16:36:20 +02:00
684bc8bd70 readme : update GPU / CUDA 2023-11-12 15:40:37 +02:00
b0502836b8 whisper : add full CUDA and Metal offloading (#1472)
* whisper : migrate to ggml-backend

* whisper : fix logit reading

* whisper : fix tensor allocation during load

* whisper : fix beam-search with CUDA

* whisper : free backends + fix compile warning

* whisper : print when CUDA is enabled

* whisper : fix CoreML

* make : clean-up

* talk : fix compile warning

* whisper : support ggml_conv with CUDA and Metal (#1473)

* ggml : add CUDA support for ggml_conv

* whisper : remove ggml_repeat for conv bias + single backend

* cuda : fix im2col kernel

* metal : add im2col support + mul mat-vec f16 x f16

* bench-all : add q4 models

* whisper : clean-up

* quantize-all : fix

* ggml : im2col opts

* whisper : avoid whisper_model_data wrapper

* whisper : add note that ggml_mul_mat_pad does not work with CUDA

* whisper : factor out graph compute in common function

* whisper : fixes

* whisper : fix UB with measure buffers

* whisper : try to fix the parallel whisper_state functionality (#1479)

* whisper : try to fix the parallel whisper_state functionality

* whisper : fix multi-state Metal

* whisper : free backend instances in whisper_state
2023-11-12 15:31:08 +02:00
ec7a6f04f9 whisper : return with error from whisper_encode_internal and whisper_decode_internal when abort callback is true (#1456)
Co-authored-by: Ben Nortier <ben@bjnortier.com>
2023-11-10 13:51:16 +02:00
37947203e6 talk-llama : add language auto detect (#1467)
* Add '-l auto' to talk-llama example

* Update examples/talk-llama/talk-llama.cpp

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-11-09 19:21:44 +02:00
953419c69a openvino : update convert-whisper-to-openvino.py to support v3 (#1459) 2023-11-09 12:42:39 +02:00
0de8582f65 coreml : use the correct n_mel value (#1458) 2023-11-08 20:01:41 +00:00
baeb733691 whisper : reset mel time when resetting timings (#1452)
Co-authored-by: Ben Nortier <ben@bjnortier.com>
2023-11-08 15:52:23 +02:00
d03c60dd7f ios : add support for Swift Package Manager (#1370)
* Add support for Swift

* Make it build in Xcode

* Use the SPM package in the SwiftUI example app
2023-11-07 23:53:31 +02:00
96 changed files with 5387 additions and 2229 deletions

View File

@ -396,6 +396,32 @@ jobs:
cd examples/whisper.android
./gradlew assembleRelease --no-daemon
android_java:
runs-on: ubuntu-latest
steps:
- name: Clone
uses: actions/checkout@v3
- name: set up JDK 11
uses: actions/setup-java@v3
with:
java-version: '11'
distribution: 'temurin'
cache: gradle
- name: Setup Android SDK
uses: android-actions/setup-android@v2
with:
api-level: 30
build-tools-version: 30.0.3
- name: Build
run: |
cd examples/whisper.android.java
chmod +x ./gradlew
./gradlew assembleRelease
java:
needs: [ 'windows' ]
runs-on: windows-latest

10
.gitignore vendored
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@ -8,6 +8,7 @@
.DS_Store
build/
build-coreml/
build-em/
build-debug/
build-release/
@ -18,6 +19,11 @@ build-no-accel/
build-sanitize-addr/
build-sanitize-thread/
# SPM
.build/
.swiftpm
*.metallib
/main
/stream
/command
@ -48,3 +54,7 @@ bindings/java/.idea/
.idea/
benchmark_results.csv
cmake-build-debug/
.cxx/
.gradle/
local.properties

View File

@ -307,7 +307,7 @@ ggml-backend.o: ggml-backend.c ggml.h ggml-backend.h
ggml-quants.o: ggml-quants.c ggml.h ggml-quants.h
$(CC) $(CFLAGS) -c $< -o $@
WHISPER_OBJ += ggml-alloc.o ggml-backend.o ggml-quants.o
WHISPER_OBJ += ggml.o ggml-alloc.o ggml-backend.o ggml-quants.o
whisper.o: whisper.cpp whisper.h ggml.h ggml-cuda.h
$(CXX) $(CXXFLAGS) -c $< -o $@
@ -331,11 +331,11 @@ ggml-metal.o: ggml-metal.m ggml-metal.h
WHISPER_OBJ += ggml-metal.o
endif
libwhisper.a: ggml.o $(WHISPER_OBJ)
$(AR) rcs libwhisper.a ggml.o $(WHISPER_OBJ)
libwhisper.a: $(WHISPER_OBJ)
$(AR) rcs libwhisper.a $(WHISPER_OBJ)
libwhisper.so: ggml.o $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) -shared -o libwhisper.so ggml.o $(WHISPER_OBJ) $(LDFLAGS)
libwhisper.so: $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) -shared -o libwhisper.so $(WHISPER_OBJ) $(LDFLAGS)
clean:
rm -f *.o main stream command talk talk-llama bench quantize lsp libwhisper.a libwhisper.so
@ -349,30 +349,30 @@ CC_SDL=`sdl2-config --cflags --libs`
SRC_COMMON = examples/common.cpp examples/common-ggml.cpp
SRC_COMMON_SDL = examples/common-sdl.cpp
main: examples/main/main.cpp $(SRC_COMMON) ggml.o $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/main/main.cpp $(SRC_COMMON) ggml.o $(WHISPER_OBJ) -o main $(LDFLAGS)
main: examples/main/main.cpp $(SRC_COMMON) $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/main/main.cpp $(SRC_COMMON) $(WHISPER_OBJ) -o main $(LDFLAGS)
./main -h
bench: examples/bench/bench.cpp ggml.o $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/bench/bench.cpp ggml.o $(WHISPER_OBJ) -o bench $(LDFLAGS)
bench: examples/bench/bench.cpp $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/bench/bench.cpp $(WHISPER_OBJ) -o bench $(LDFLAGS)
quantize: examples/quantize/quantize.cpp ggml.o $(WHISPER_OBJ) $(SRC_COMMON)
$(CXX) $(CXXFLAGS) examples/quantize/quantize.cpp $(SRC_COMMON) ggml.o $(WHISPER_OBJ) -o quantize $(LDFLAGS)
quantize: examples/quantize/quantize.cpp $(WHISPER_OBJ) $(SRC_COMMON)
$(CXX) $(CXXFLAGS) examples/quantize/quantize.cpp $(SRC_COMMON) $(WHISPER_OBJ) -o quantize $(LDFLAGS)
stream: examples/stream/stream.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) ggml.o $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/stream/stream.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) ggml.o $(WHISPER_OBJ) -o stream $(CC_SDL) $(LDFLAGS)
stream: examples/stream/stream.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/stream/stream.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o stream $(CC_SDL) $(LDFLAGS)
command: examples/command/command.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) ggml.o $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/command/command.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) ggml.o $(WHISPER_OBJ) -o command $(CC_SDL) $(LDFLAGS)
command: examples/command/command.cpp examples/grammar-parser.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/command/command.cpp examples/grammar-parser.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o command $(CC_SDL) $(LDFLAGS)
lsp: examples/lsp/lsp.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) ggml.o $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/lsp/lsp.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) ggml.o $(WHISPER_OBJ) -o lsp $(CC_SDL) $(LDFLAGS)
lsp: examples/lsp/lsp.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/lsp/lsp.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o lsp $(CC_SDL) $(LDFLAGS)
talk: examples/talk/talk.cpp examples/talk/gpt-2.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) ggml.o $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/talk/talk.cpp examples/talk/gpt-2.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) ggml.o $(WHISPER_OBJ) -o talk $(CC_SDL) $(LDFLAGS)
talk: examples/talk/talk.cpp examples/talk/gpt-2.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/talk/talk.cpp examples/talk/gpt-2.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o talk $(CC_SDL) $(LDFLAGS)
talk-llama: examples/talk-llama/talk-llama.cpp examples/talk-llama/llama.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) ggml.o $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/talk-llama/talk-llama.cpp examples/talk-llama/llama.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) ggml.o $(WHISPER_OBJ) -o talk-llama $(CC_SDL) $(LDFLAGS)
talk-llama: examples/talk-llama/talk-llama.cpp examples/talk-llama/llama.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ)
$(CXX) $(CXXFLAGS) examples/talk-llama/talk-llama.cpp examples/talk-llama/llama.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) $(WHISPER_OBJ) -o talk-llama $(CC_SDL) $(LDFLAGS)
#
# Audio samples

77
Package.swift Normal file
View File

@ -0,0 +1,77 @@
// swift-tools-version:5.5
import PackageDescription
#if arch(arm) || arch(arm64)
let platforms: [SupportedPlatform]? = [
.macOS(.v12),
.iOS(.v14),
.watchOS(.v4),
.tvOS(.v14)
]
let exclude: [String] = []
let resources: [Resource] = [
.process("ggml-metal.metal")
]
let additionalSources: [String] = ["ggml-metal.m"]
let additionalSettings: [CSetting] = [
.unsafeFlags(["-fno-objc-arc"]),
.define("GGML_USE_METAL")
]
#else
let platforms: [SupportedPlatform]? = nil
let exclude: [String] = ["ggml-metal.metal"]
let resources: [Resource] = []
let additionalSources: [String] = []
let additionalSettings: [CSetting] = []
#endif
let package = Package(
name: "whisper",
platforms: platforms,
products: [
.library(name: "whisper", targets: ["whisper"]),
],
targets: [
.target(
name: "whisper",
path: ".",
exclude: exclude + [
"bindings",
"cmake",
"coreml",
"examples",
"extra",
"models",
"samples",
"tests",
"CMakeLists.txt",
"ggml-cuda.cu",
"ggml-cuda.h",
"Makefile"
],
sources: [
"ggml.c",
"whisper.cpp",
"ggml-alloc.c",
"ggml-backend.c",
"ggml-quants.c"
] + additionalSources,
resources: resources,
publicHeadersPath: "spm-headers",
cSettings: [
.unsafeFlags(["-Wno-shorten-64-to-32", "-O3", "-DNDEBUG"]),
.define("GGML_USE_ACCELERATE")
// NOTE: NEW_LAPACK will required iOS version 16.4+
// We should consider add this in the future when we drop support for iOS 14
// (ref: ref: https://developer.apple.com/documentation/accelerate/1513264-cblas_sgemm?language=objc)
// .define("ACCELERATE_NEW_LAPACK"),
// .define("ACCELERATE_LAPACK_ILP64")
] + additionalSettings,
linkerSettings: [
.linkedFramework("Accelerate")
]
)
],
cxxLanguageStandard: .cxx11
)

View File

@ -16,12 +16,10 @@ High-performance inference of [OpenAI's Whisper](https://github.com/openai/whisp
- VSX intrinsics support for POWER architectures
- Mixed F16 / F32 precision
- [4-bit and 5-bit integer quantization support](https://github.com/ggerganov/whisper.cpp#quantization)
- Low memory usage (Flash Attention)
- Zero memory allocations at runtime
- Support for CPU-only inference
- [Partial GPU support for NVIDIA via cuBLAS](https://github.com/ggerganov/whisper.cpp#nvidia-gpu-support-via-cublas)
- [Efficient GPU support for NVIDIA](https://github.com/ggerganov/whisper.cpp#nvidia-gpu-support-via-cublas)
- [Partial OpenCL GPU support via CLBlast](https://github.com/ggerganov/whisper.cpp#opencl-gpu-support-via-clblast)
- [BLAS CPU support via OpenBLAS](https://github.com/ggerganov/whisper.cpp#blas-cpu-support-via-openblas)
- [OpenVINO Support](https://github.com/ggerganov/whisper.cpp#openvino-support)
- [C-style API](https://github.com/ggerganov/whisper.cpp/blob/master/whisper.h)
@ -36,10 +34,8 @@ Supported platforms:
- [x] Windows ([MSVC](https://github.com/ggerganov/whisper.cpp/blob/master/.github/workflows/build.yml#L117-L144) and [MinGW](https://github.com/ggerganov/whisper.cpp/issues/168)]
- [x] [Raspberry Pi](https://github.com/ggerganov/whisper.cpp/discussions/166)
The entire implementation of the model is contained in 2 source files:
- Tensor operations: [ggml.h](ggml.h) / [ggml.c](ggml.c)
- Transformer inference: [whisper.h](whisper.h) / [whisper.cpp](whisper.cpp)
The entire high-level implementation of the model is contained in [whisper.h](whisper.h) and [whisper.cpp](whisper.cpp).
The rest of the code is part of the [ggml](https://github.com/ggerganov/ggml) machine learning library.
Having such a lightweight implementation of the model allows to easily integrate it in different platforms and applications.
As an example, here is a video of running the model on an iPhone 13 device - fully offline, on-device: [whisper.objc](examples/whisper.objc)
@ -400,12 +396,12 @@ This can result in significant speedup in encoder performance. Here are the inst
The first time run on an OpenVINO device is slow, since the OpenVINO framework will compile the IR (Intermediate Representation) model to a device-specific 'blob'. This device-specific blob will get
cached for the next run.
For more information about the Core ML implementation please refer to PR [#1037](https://github.com/ggerganov/whisper.cpp/pull/1037).
## NVIDIA GPU support via cuBLAS
## NVIDIA GPU support
With NVIDIA cards the Encoder processing can to a large extent be offloaded to the GPU through cuBLAS.
With NVIDIA cards the processing of the models is done efficiently on the GPU via cuBLAS and custom CUDA kernels.
First, make sure you have installed `cuda`: https://developer.nvidia.com/cuda-downloads
Now build `whisper.cpp` with cuBLAS support:

View File

@ -9,6 +9,7 @@ archivesBaseName = 'whispercpp'
group = 'io.github.ggerganov'
version = '1.4.0'
sourceCompatibility = 1.8
targetCompatibility = 1.8

View File

@ -2,6 +2,7 @@ package io.github.ggerganov.whispercpp;
import com.sun.jna.Native;
import com.sun.jna.Pointer;
import io.github.ggerganov.whispercpp.bean.WhisperSegment;
import io.github.ggerganov.whispercpp.params.WhisperContextParams;
import io.github.ggerganov.whispercpp.params.WhisperFullParams;
import io.github.ggerganov.whispercpp.params.WhisperSamplingStrategy;
@ -9,6 +10,8 @@ import io.github.ggerganov.whispercpp.params.WhisperSamplingStrategy;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
/**
* Before calling most methods, you must call `initContext(modelPath)` to initialise the `ctx` Pointer.
@ -160,6 +163,28 @@ public class WhisperCpp implements AutoCloseable {
return str.toString().trim();
}
public List<WhisperSegment> fullTranscribeWithTime(WhisperFullParams whisperParams, float[] audioData) throws IOException {
if (ctx == null) {
throw new IllegalStateException("Model not initialised");
}
if (lib.whisper_full(ctx, whisperParams, audioData, audioData.length) != 0) {
throw new IOException("Failed to process audio");
}
int nSegments = lib.whisper_full_n_segments(ctx);
List<WhisperSegment> segments= new ArrayList<>(nSegments);
for (int i = 0; i < nSegments; i++) {
long t0 = lib.whisper_full_get_segment_t0(ctx, i);
String text = lib.whisper_full_get_segment_text(ctx, i);
long t1 = lib.whisper_full_get_segment_t1(ctx, i);
segments.add(new WhisperSegment(t0,t1,text));
}
return segments;
}
// public int getTextSegmentCount(Pointer ctx) {
// return lib.whisper_full_n_segments(ctx);

View File

@ -0,0 +1,47 @@
package io.github.ggerganov.whispercpp.bean;
/**
* Created by litonglinux@qq.com on 10/21/2023_7:48 AM
*/
public class WhisperSegment {
private long start, end;
private String sentence;
public WhisperSegment() {
}
public WhisperSegment(long start, long end, String sentence) {
this.start = start;
this.end = end;
this.sentence = sentence;
}
public long getStart() {
return start;
}
public long getEnd() {
return end;
}
public String getSentence() {
return sentence;
}
public void setStart(long start) {
this.start = start;
}
public void setEnd(long end) {
this.end = end;
}
public void setSentence(String sentence) {
this.sentence = sentence;
}
@Override
public String toString() {
return "[" + start + " --> " + end + "]:" + sentence;
}
}

View File

@ -58,6 +58,9 @@ public class WhisperFullParams extends Structure {
no_context = enable ? CBool.FALSE : CBool.TRUE;
}
/** Generate timestamps or not? */
public CBool no_timestamps;
/** Flag to force single segment output (useful for streaming). (default = false) */
public CBool single_segment;
@ -304,10 +307,16 @@ public class WhisperFullParams extends Structure {
logits_filter_callback = CallbackReference.getFunctionPointer(callback);
}
/** Grammar stuff */
public Pointer grammar_rules;
public long n_grammar_rules;
public long i_start_rule;
public float grammar_penalty;
@Override
protected List<String> getFieldOrder() {
return Arrays.asList("strategy", "n_threads", "n_max_text_ctx", "offset_ms", "duration_ms", "translate",
"no_context", "single_segment",
"no_context", "single_segment", "no_timestamps",
"print_special", "print_progress", "print_realtime", "print_timestamps", "token_timestamps",
"thold_pt", "thold_ptsum", "max_len", "split_on_word", "max_tokens", "speed_up", "audio_ctx",
"tdrz_enable", "initial_prompt", "prompt_tokens", "prompt_n_tokens", "language", "detect_language",
@ -316,6 +325,7 @@ public class WhisperFullParams extends Structure {
"new_segment_callback", "new_segment_callback_user_data",
"progress_callback", "progress_callback_user_data",
"encoder_begin_callback", "encoder_begin_callback_user_data",
"logits_filter_callback", "logits_filter_callback_user_data");
"logits_filter_callback", "logits_filter_callback_user_data",
"grammar_rules", "n_grammar_rules", "i_start_rule", "grammar_penalty");
}
}

View File

@ -2,6 +2,7 @@ package io.github.ggerganov.whispercpp;
import static org.junit.jupiter.api.Assertions.*;
import io.github.ggerganov.whispercpp.bean.WhisperSegment;
import io.github.ggerganov.whispercpp.params.CBool;
import io.github.ggerganov.whispercpp.params.WhisperFullParams;
import io.github.ggerganov.whispercpp.params.WhisperSamplingStrategy;
@ -11,6 +12,7 @@ import javax.sound.sampled.AudioInputStream;
import javax.sound.sampled.AudioSystem;
import java.io.File;
import java.io.FileNotFoundException;
import java.util.List;
class WhisperCppTest {
private static WhisperCpp whisper = new WhisperCpp();
@ -20,11 +22,12 @@ class WhisperCppTest {
static void init() throws FileNotFoundException {
// By default, models are loaded from ~/.cache/whisper/ and are usually named "ggml-${name}.bin"
// or you can provide the absolute path to the model file.
//String modelName = "../../models/ggml-tiny.bin";
String modelName = "../../models/ggml-tiny.en.bin";
try {
whisper.initContext(modelName);
// whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY);
// whisper.getJavaDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH);
//whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY);
//whisper.getJavaDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH);
modelInitialised = true;
} catch (FileNotFoundException ex) {
System.out.println("Model " + modelName + " not found");
@ -72,11 +75,11 @@ class WhisperCppTest {
byte[] b = new byte[audioInputStream.available()];
float[] floats = new float[b.length / 2];
// WhisperFullParams params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY);
//WhisperFullParams params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY);
WhisperFullParams params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH);
params.setProgressCallback((ctx, state, progress, user_data) -> System.out.println("progress: " + progress));
params.print_progress = CBool.FALSE;
// params.initial_prompt = "and so my fellow Americans um, like";
//params.initial_prompt = "and so my fellow Americans um, like";
try {
@ -99,4 +102,43 @@ class WhisperCppTest {
audioInputStream.close();
}
}
@Test
void testFullTranscribeWithTime() throws Exception {
if (!modelInitialised) {
System.out.println("Model not initialised, skipping test");
return;
}
// Given
File file = new File(System.getProperty("user.dir"), "../../samples/jfk.wav");
AudioInputStream audioInputStream = AudioSystem.getAudioInputStream(file);
byte[] b = new byte[audioInputStream.available()];
float[] floats = new float[b.length / 2];
//WhisperFullParams params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY);
WhisperFullParams params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH);
params.setProgressCallback((ctx, state, progress, user_data) -> System.out.println("progress: " + progress));
params.print_progress = CBool.FALSE;
//params.initial_prompt = "and so my fellow Americans um, like";
try {
audioInputStream.read(b);
for (int i = 0, j = 0; i < b.length; i += 2, j++) {
int intSample = (int) (b[i + 1]) << 8 | (int) (b[i]) & 0xFF;
floats[j] = intSample / 32767.0f;
}
List<WhisperSegment> segments = whisper.fullTranscribeWithTime(params, floats);
assertTrue(segments.size() > 0, "The size of segments should be greater than 0");
for (WhisperSegment segment : segments) {
System.out.println(segment);
}
} finally {
audioInputStream.close();
}
}
}

View File

@ -123,7 +123,7 @@ API_AVAILABLE(macos(12.0), ios(15.0), watchos(8.0), tvos(15.0)) __attribute__((v
/**
Make a prediction using the convenience interface
@param logmel_data as 1 × 80 × 3000 3-dimensional array of floats:
@param logmel_data as 1 × n_mel × 3000 3-dimensional array of floats:
@param error If an error occurs, upon return contains an NSError object that describes the problem. If you are not interested in possible errors, pass in NULL.
@return the prediction as whisper_encoder_implOutput
*/

View File

@ -3,6 +3,8 @@
// Code is derived from the work of Github user @wangchou
// ref: https://github.com/wangchou/callCoreMLFromCpp
#include <stdint.h>
#if __cplusplus
extern "C" {
#endif
@ -14,6 +16,8 @@ void whisper_coreml_free(struct whisper_coreml_context * ctx);
void whisper_coreml_encode(
const whisper_coreml_context * ctx,
int64_t n_ctx,
int64_t n_mel,
float * mel,
float * out);

View File

@ -48,13 +48,15 @@ void whisper_coreml_free(struct whisper_coreml_context * ctx) {
void whisper_coreml_encode(
const whisper_coreml_context * ctx,
int64_t n_ctx,
int64_t n_mel,
float * mel,
float * out) {
MLMultiArray * inMultiArray = [
[MLMultiArray alloc] initWithDataPointer: mel
shape: @[@1, @80, @3000]
shape: @[@1, @(n_mel), @(n_ctx)]
dataType: MLMultiArrayDataTypeFloat32
strides: @[@(240000), @(3000), @1]
strides: @[@(n_ctx*n_mel), @(n_ctx), @1]
deallocator: nil
error: nil
];

View File

@ -23,6 +23,7 @@ add_library(${TARGET} STATIC
common.cpp
common-ggml.h
common-ggml.cpp
grammar-parser.cpp
)
include(DefaultTargetOptions)

View File

@ -81,7 +81,7 @@ int whisper_bench_full(const whisper_params & params) {
}
// heat encoder
if (int ret = whisper_encode(ctx, 0, params.n_threads) != 0) {
fprintf(stderr, "error: failed to encode model: %d\n", ret);
fprintf(stderr, "error: failed to encode: %d\n", ret);
return 4;
}
@ -90,13 +90,13 @@ int whisper_bench_full(const whisper_params & params) {
// prompt heat
if (int ret = whisper_decode(ctx, tokens, 256, 0, params.n_threads) != 0) {
fprintf(stderr, "error: failed to encode model: %d\n", ret);
fprintf(stderr, "error: failed to decode: %d\n", ret);
return 4;
}
// text-generation heat
if (int ret = whisper_decode(ctx, tokens, 1, 256, params.n_threads) != 0) {
fprintf(stderr, "error: failed to encode model: %d\n", ret);
fprintf(stderr, "error: failed to decode: %d\n", ret);
return 4;
}
@ -104,20 +104,30 @@ int whisper_bench_full(const whisper_params & params) {
// actual run
if (int ret = whisper_encode(ctx, 0, params.n_threads) != 0) {
fprintf(stderr, "error: failed to encode model: %d\n", ret);
fprintf(stderr, "error: failed to encode: %d\n", ret);
return 4;
}
for (int i = 0; i < 16; i++) {
if (int ret = whisper_decode(ctx, tokens, 256, 0, params.n_threads) != 0) {
fprintf(stderr, "error: failed to encode model: %d\n", ret);
// text-generation
for (int i = 0; i < 256; i++) {
if (int ret = whisper_decode(ctx, tokens, 1, i, params.n_threads) != 0) {
fprintf(stderr, "error: failed to decode: %d\n", ret);
return 4;
}
}
for (int i = 0; i < 256; i++) {
if (int ret = whisper_decode(ctx, tokens, 1, i, params.n_threads) != 0) {
fprintf(stderr, "error: failed to encode model: %d\n", ret);
// batched decoding
for (int i = 0; i < 64; i++) {
if (int ret = whisper_decode(ctx, tokens, 5, 0, params.n_threads) != 0) {
fprintf(stderr, "error: failed to decode: %d\n", ret);
return 4;
}
}
// prompt processing
for (int i = 0; i < 16; i++) {
if (int ret = whisper_decode(ctx, tokens, 256, 0, params.n_threads) != 0) {
fprintf(stderr, "error: failed to decode: %d\n", ret);
return 4;
}
}

View File

@ -9,6 +9,7 @@
#include "common-sdl.h"
#include "common.h"
#include "whisper.h"
#include "grammar-parser.h"
#include <sstream>
#include <cassert>
@ -21,6 +22,11 @@
#include <vector>
#include <map>
bool file_exists(const std::string & fname) {
std::ifstream f(fname.c_str());
return f.good();
}
// command-line parameters
struct whisper_params {
int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
@ -30,8 +36,12 @@ struct whisper_params {
int32_t max_tokens = 32;
int32_t audio_ctx = 0;
float vad_thold = 0.6f;
float freq_thold = 100.0f;
float vad_thold = 0.6f;
float freq_thold = 100.0f;
float grammar_penalty = 100.0f;
grammar_parser::parse_state grammar_parsed;
bool speed_up = false;
bool translate = false;
@ -45,6 +55,8 @@ struct whisper_params {
std::string fname_out;
std::string commands;
std::string prompt;
std::string context;
std::string grammar;
};
void whisper_print_usage(int argc, char ** argv, const whisper_params & params);
@ -75,6 +87,9 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
else if (arg == "-f" || arg == "--file") { params.fname_out = argv[++i]; }
else if (arg == "-cmd" || arg == "--commands") { params.commands = argv[++i]; }
else if (arg == "-p" || arg == "--prompt") { params.prompt = argv[++i]; }
else if (arg == "-ctx" || arg == "--context") { params.context = argv[++i]; }
else if ( arg == "--grammar") { params.grammar = argv[++i]; }
else if ( arg == "--grammar-penalty") { params.grammar_penalty = std::stof(argv[++i]); }
else {
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
whisper_print_usage(argc, argv, params);
@ -109,16 +124,30 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
fprintf(stderr, " -f FNAME, --file FNAME [%-7s] text output file name\n", params.fname_out.c_str());
fprintf(stderr, " -cmd FNAME, --commands FNAME [%-7s] text file with allowed commands\n", params.commands.c_str());
fprintf(stderr, " -p, --prompt [%-7s] the required activation prompt\n", params.prompt.c_str());
fprintf(stderr, " -ctx, --context [%-7s] sample text to help the transcription\n", params.context.c_str());
fprintf(stderr, " --grammar GRAMMAR [%-7s] GBNF grammar to guide decoding\n", params.grammar.c_str());
fprintf(stderr, " --grammar-penalty N [%-7.1f] scales down logits of nongrammar tokens\n", params.grammar_penalty);
fprintf(stderr, "\n");
}
std::string transcribe(whisper_context * ctx, const whisper_params & params, const std::vector<float> & pcmf32, float & prob, int64_t & t_ms) {
std::string transcribe(
whisper_context * ctx,
const whisper_params & params,
const std::vector<float> & pcmf32,
const std::string & grammar_rule,
float & logprob_min,
float & logprob_sum,
int & n_tokens,
int64_t & t_ms) {
const auto t_start = std::chrono::high_resolution_clock::now();
prob = 0.0f;
logprob_min = 0.0f;
logprob_sum = 0.0f;
n_tokens = 0;
t_ms = 0;
whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
//whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_BEAM_SEARCH);
wparams.print_progress = false;
wparams.print_special = params.print_special;
@ -126,19 +155,41 @@ std::string transcribe(whisper_context * ctx, const whisper_params & params, con
wparams.print_timestamps = !params.no_timestamps;
wparams.translate = params.translate;
wparams.no_context = true;
wparams.no_timestamps = params.no_timestamps;
wparams.single_segment = true;
wparams.max_tokens = params.max_tokens;
wparams.language = params.language.c_str();
wparams.n_threads = params.n_threads;
wparams.audio_ctx = params.audio_ctx;
wparams.speed_up = params.speed_up;
wparams.audio_ctx = params.audio_ctx;
wparams.speed_up = params.speed_up;
wparams.temperature = 0.4f;
wparams.temperature_inc = 1.0f;
wparams.greedy.best_of = 5;
wparams.beam_search.beam_size = 5;
wparams.initial_prompt = params.context.data();
const auto & grammar_parsed = params.grammar_parsed;
auto grammar_rules = grammar_parsed.c_rules();
if (!params.grammar_parsed.rules.empty() && !grammar_rule.empty()) {
if (grammar_parsed.symbol_ids.find(grammar_rule) == grammar_parsed.symbol_ids.end()) {
fprintf(stderr, "%s: warning: grammar rule '%s' not found - skipping grammar sampling\n", __func__, grammar_rule.c_str());
} else {
wparams.grammar_rules = grammar_rules.data();
wparams.n_grammar_rules = grammar_rules.size();
wparams.i_start_rule = grammar_parsed.symbol_ids.at(grammar_rule);
wparams.grammar_penalty = params.grammar_penalty;
}
}
if (whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size()) != 0) {
return "";
}
int prob_n = 0;
std::string result;
const int n_segments = whisper_full_n_segments(ctx);
@ -147,19 +198,17 @@ std::string transcribe(whisper_context * ctx, const whisper_params & params, con
result += text;
const int n_tokens = whisper_full_n_tokens(ctx, i);
for (int j = 0; j < n_tokens; ++j) {
const int n = whisper_full_n_tokens(ctx, i);
for (int j = 0; j < n; ++j) {
const auto token = whisper_full_get_token_data(ctx, i, j);
prob += token.p;
++prob_n;
if(token.plog > 0.0f) exit(0);
logprob_min = std::min(logprob_min, token.plog);
logprob_sum += token.plog;
++n_tokens;
}
}
if (prob_n > 0) {
prob /= prob_n;
}
const auto t_end = std::chrono::high_resolution_clock::now();
t_ms = std::chrono::duration_cast<std::chrono::milliseconds>(t_end - t_start).count();
@ -250,7 +299,7 @@ int process_command_list(struct whisper_context * ctx, audio_async &audio, const
fprintf(stderr, " ]\n");
}
std::string k_prompt = "select one from the available words: ";
std::string k_prompt = "select one from the available words: ";
for (int i = 0; i < (int) allowed_commands.size(); ++i) {
if (i > 0) {
k_prompt += ", ";
@ -418,7 +467,9 @@ int always_prompt_transcription(struct whisper_context * ctx, audio_async & audi
bool is_running = true;
bool ask_prompt = true;
float prob = 0.0f;
float logprob_min = 0.0f;
float logprob_sum = 0.0f;
int n_tokens = 0;
std::vector<float> pcmf32_cur;
@ -456,7 +507,7 @@ int always_prompt_transcription(struct whisper_context * ctx, audio_async & audi
// detect the commands
audio.get(params.command_ms, pcmf32_cur);
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, prob, t_ms));
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, "", logprob_min, logprob_sum, n_tokens, t_ms));
const auto words = get_words(txt);
@ -492,18 +543,27 @@ int always_prompt_transcription(struct whisper_context * ctx, audio_async & audi
// general-purpose mode
// freely transcribe the voice into text
int process_general_transcription(struct whisper_context * ctx, audio_async &audio, const whisper_params &params) {
int process_general_transcription(struct whisper_context * ctx, audio_async & audio, const whisper_params & params) {
bool is_running = true;
bool have_prompt = false;
bool ask_prompt = true;
float prob0 = 0.0f;
float prob = 0.0f;
float logprob_min0 = 0.0f;
float logprob_min = 0.0f;
float logprob_sum0 = 0.0f;
float logprob_sum = 0.0f;
int n_tokens0 = 0;
int n_tokens = 0;
std::vector<float> pcmf32_cur;
std::vector<float> pcmf32_prompt;
const std::string k_prompt = "Ok Whisper, start listening for commands.";
std::string k_prompt = "Ok Whisper, start listening for commands.";
if (!params.prompt.empty()) {
k_prompt = params.prompt;
}
fprintf(stderr, "\n");
fprintf(stderr, "%s: general-purpose mode\n", __func__);
@ -536,9 +596,11 @@ int process_general_transcription(struct whisper_context * ctx, audio_async &aud
// wait for activation phrase
audio.get(params.prompt_ms, pcmf32_cur);
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, prob0, t_ms));
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, "prompt", logprob_min0, logprob_sum0, n_tokens0, t_ms));
fprintf(stdout, "%s: Heard '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", txt.c_str(), "\033[0m", (int) t_ms);
const float p = 100.0f * std::exp(logprob_min0);
fprintf(stdout, "%s: Heard '%s%s%s', (t = %d ms, p = %.2f%%)\n", __func__, "\033[1m", txt.c_str(), "\033[0m", (int) t_ms, p);
const float sim = similarity(txt, k_prompt);
@ -559,19 +621,30 @@ int process_general_transcription(struct whisper_context * ctx, audio_async &aud
// we have heard the activation phrase, now detect the commands
audio.get(params.command_ms, pcmf32_cur);
//printf("len prompt: %.4f\n", pcmf32_prompt.size() / (float) WHISPER_SAMPLE_RATE);
//printf("len command: %.4f\n", pcmf32_cur.size() / (float) WHISPER_SAMPLE_RATE);
// prepend 3 second of silence
pcmf32_cur.insert(pcmf32_cur.begin(), 3.0f*WHISPER_SAMPLE_RATE, 0.0f);
// prepend the prompt audio
pcmf32_cur.insert(pcmf32_cur.begin(), pcmf32_prompt.begin(), pcmf32_prompt.end());
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, prob, t_ms));
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, "root", logprob_min, logprob_sum, n_tokens, t_ms));
prob = 100.0f*(prob - prob0);
//const float p = 100.0f * std::exp((logprob - logprob0) / (n_tokens - n_tokens0));
const float p = 100.0f * std::exp(logprob_min);
//fprintf(stdout, "%s: heard '%s'\n", __func__, txt.c_str());
// find the prompt in the text
float best_sim = 0.0f;
size_t best_len = 0;
for (int n = 0.8*k_prompt.size(); n <= 1.2*k_prompt.size(); ++n) {
for (size_t n = 0.8*k_prompt.size(); n <= 1.2*k_prompt.size(); ++n) {
if (n >= txt.size()) {
break;
}
const auto prompt = txt.substr(0, n);
const float sim = similarity(prompt, k_prompt);
@ -584,9 +657,16 @@ int process_general_transcription(struct whisper_context * ctx, audio_async &aud
}
}
const std::string command = ::trim(txt.substr(best_len));
fprintf(stdout, "%s: DEBUG: txt = '%s', prob = %.2f%%\n", __func__, txt.c_str(), p);
if (best_len == 0) {
fprintf(stdout, "%s: WARNING: command not recognized, try again\n", __func__);
} else {
// cut the prompt from the decoded text
const std::string command = ::trim(txt.substr(best_len));
fprintf(stdout, "%s: Command '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", command.c_str(), "\033[0m", (int) t_ms);
}
fprintf(stdout, "%s: Command '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", command.c_str(), "\033[0m", (int) t_ms);
fprintf(stdout, "\n");
}
@ -654,12 +734,36 @@ int main(int argc, char ** argv) {
int ret_val = 0;
if (!params.commands.empty()) {
ret_val = process_command_list(ctx, audio, params);
} else if (!params.prompt.empty()) {
ret_val = always_prompt_transcription(ctx, audio, params);
} else {
ret_val = process_general_transcription(ctx, audio, params);
if (!params.grammar.empty()) {
auto & grammar = params.grammar_parsed;
if (file_exists(params.grammar.c_str())) {
// read grammar from file
std::ifstream ifs(params.grammar.c_str());
const std::string txt = std::string((std::istreambuf_iterator<char>(ifs)), std::istreambuf_iterator<char>());
grammar = grammar_parser::parse(txt.c_str());
} else {
// read grammar from string
grammar = grammar_parser::parse(params.grammar.c_str());
}
// will be empty (default) if there are parse errors
if (grammar.rules.empty()) {
ret_val = 1;
} else {
fprintf(stderr, "%s: grammar:\n", __func__);
grammar_parser::print_grammar(stderr, grammar);
fprintf(stderr, "\n");
}
}
if (ret_val == 0) {
if (!params.commands.empty()) {
ret_val = process_command_list(ctx, audio, params);
} else if (!params.prompt.empty() && params.grammar_parsed.rules.empty()) {
ret_val = always_prompt_transcription(ctx, audio, params);
} else {
ret_val = process_general_transcription(ctx, audio, params);
}
}
audio.pause();

View File

@ -181,7 +181,7 @@ private:
// It is assumed that PCM data is normalized to a range from -1 to 1
bool write_audio(const float * data, size_t length) {
for (size_t i = 0; i < length; ++i) {
const auto intSample = static_cast<const int16_t>(data[i] * 32767);
const int16_t intSample = data[i] * 32767;
file.write(reinterpret_cast<const char *>(&intSample), sizeof(int16_t));
dataSize += sizeof(int16_t);
}

423
examples/grammar-parser.cpp Normal file
View File

@ -0,0 +1,423 @@
#include "grammar-parser.h"
#include <cstdint>
#include <cwchar>
#include <string>
#include <utility>
#include <stdexcept>
#include <exception>
namespace grammar_parser {
// NOTE: assumes valid utf8 (but checks for overrun)
// copied from whisper.cpp
std::pair<uint32_t, const char *> decode_utf8(const char * src) {
static const int lookup[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 3, 4 };
uint8_t first_byte = static_cast<uint8_t>(*src);
uint8_t highbits = first_byte >> 4;
int len = lookup[highbits];
uint8_t mask = (1 << (8 - len)) - 1;
uint32_t value = first_byte & mask;
const char * end = src + len; // may overrun!
const char * pos = src + 1;
for ( ; pos < end && *pos; pos++) {
value = (value << 6) + (static_cast<uint8_t>(*pos) & 0x3F);
}
return std::make_pair(value, pos);
}
uint32_t get_symbol_id(parse_state & state, const char * src, size_t len) {
uint32_t next_id = static_cast<uint32_t>(state.symbol_ids.size());
auto result = state.symbol_ids.insert(std::make_pair(std::string(src, len), next_id));
return result.first->second;
}
uint32_t generate_symbol_id(parse_state & state, const std::string & base_name) {
uint32_t next_id = static_cast<uint32_t>(state.symbol_ids.size());
state.symbol_ids[base_name + '_' + std::to_string(next_id)] = next_id;
return next_id;
}
void add_rule(
parse_state & state,
uint32_t rule_id,
const std::vector<whisper_grammar_element> & rule) {
if (state.rules.size() <= rule_id) {
state.rules.resize(rule_id + 1);
}
state.rules[rule_id] = rule;
}
bool is_word_char(char c) {
return ('a' <= c && c <= 'z') || ('A' <= c && c <= 'Z') || c == '-' || ('0' <= c && c <= '9');
}
std::pair<uint32_t, const char *> parse_hex(const char * src, int size) {
const char * pos = src;
const char * end = src + size;
uint32_t value = 0;
for ( ; pos < end && *pos; pos++) {
value <<= 4;
char c = *pos;
if ('a' <= c && c <= 'f') {
value += c - 'a' + 10;
} else if ('A' <= c && c <= 'F') {
value += c - 'A' + 10;
} else if ('0' <= c && c <= '9') {
value += c - '0';
} else {
break;
}
}
if (pos != end) {
throw std::runtime_error("expecting " + std::to_string(size) + " hex chars at " + src);
}
return std::make_pair(value, pos);
}
const char * parse_space(const char * src, bool newline_ok) {
const char * pos = src;
while (*pos == ' ' || *pos == '\t' || *pos == '#' ||
(newline_ok && (*pos == '\r' || *pos == '\n'))) {
if (*pos == '#') {
while (*pos && *pos != '\r' && *pos != '\n') {
pos++;
}
} else {
pos++;
}
}
return pos;
}
const char * parse_name(const char * src) {
const char * pos = src;
while (is_word_char(*pos)) {
pos++;
}
if (pos == src) {
throw std::runtime_error(std::string("expecting name at ") + src);
}
return pos;
}
std::pair<uint32_t, const char *> parse_char(const char * src) {
if (*src == '\\') {
switch (src[1]) {
case 'x': return parse_hex(src + 2, 2);
case 'u': return parse_hex(src + 2, 4);
case 'U': return parse_hex(src + 2, 8);
case 't': return std::make_pair('\t', src + 2);
case 'r': return std::make_pair('\r', src + 2);
case 'n': return std::make_pair('\n', src + 2);
case '\\':
case '"':
case '[':
case ']':
return std::make_pair(src[1], src + 2);
default:
throw std::runtime_error(std::string("unknown escape at ") + src);
}
} else if (*src) {
return decode_utf8(src);
}
throw std::runtime_error("unexpected end of input");
}
const char * parse_alternates(
parse_state & state,
const char * src,
const std::string & rule_name,
uint32_t rule_id,
bool is_nested);
const char * parse_sequence(
parse_state & state,
const char * src,
const std::string & rule_name,
std::vector<whisper_grammar_element> & out_elements,
bool is_nested) {
size_t last_sym_start = out_elements.size();
const char * pos = src;
while (*pos) {
if (*pos == '"') { // literal string
pos++;
last_sym_start = out_elements.size();
while (*pos != '"') {
auto char_pair = parse_char(pos);
pos = char_pair.second;
out_elements.push_back({WHISPER_GRETYPE_CHAR, char_pair.first});
}
pos = parse_space(pos + 1, is_nested);
} else if (*pos == '[') { // char range(s)
pos++;
enum whisper_gretype start_type = WHISPER_GRETYPE_CHAR;
if (*pos == '^') {
pos++;
start_type = WHISPER_GRETYPE_CHAR_NOT;
}
last_sym_start = out_elements.size();
while (*pos != ']') {
auto char_pair = parse_char(pos);
pos = char_pair.second;
enum whisper_gretype type = last_sym_start < out_elements.size()
? WHISPER_GRETYPE_CHAR_ALT
: start_type;
out_elements.push_back({type, char_pair.first});
if (pos[0] == '-' && pos[1] != ']') {
auto endchar_pair = parse_char(pos + 1);
pos = endchar_pair.second;
out_elements.push_back({WHISPER_GRETYPE_CHAR_RNG_UPPER, endchar_pair.first});
}
}
pos = parse_space(pos + 1, is_nested);
} else if (is_word_char(*pos)) { // rule reference
const char * name_end = parse_name(pos);
uint32_t ref_rule_id = get_symbol_id(state, pos, name_end - pos);
pos = parse_space(name_end, is_nested);
last_sym_start = out_elements.size();
out_elements.push_back({WHISPER_GRETYPE_RULE_REF, ref_rule_id});
} else if (*pos == '(') { // grouping
// parse nested alternates into synthesized rule
pos = parse_space(pos + 1, true);
uint32_t sub_rule_id = generate_symbol_id(state, rule_name);
pos = parse_alternates(state, pos, rule_name, sub_rule_id, true);
last_sym_start = out_elements.size();
// output reference to synthesized rule
out_elements.push_back({WHISPER_GRETYPE_RULE_REF, sub_rule_id});
if (*pos != ')') {
throw std::runtime_error(std::string("expecting ')' at ") + pos);
}
pos = parse_space(pos + 1, is_nested);
} else if (*pos == '*' || *pos == '+' || *pos == '?') { // repetition operator
if (last_sym_start == out_elements.size()) {
throw std::runtime_error(std::string("expecting preceeding item to */+/? at ") + pos);
}
// apply transformation to previous symbol (last_sym_start to end) according to
// rewrite rules:
// S* --> S' ::= S S' |
// S+ --> S' ::= S S' | S
// S? --> S' ::= S |
uint32_t sub_rule_id = generate_symbol_id(state, rule_name);
std::vector<whisper_grammar_element> sub_rule;
// add preceding symbol to generated rule
sub_rule.insert(
sub_rule.end(), out_elements.begin() + last_sym_start, out_elements.end());
if (*pos == '*' || *pos == '+') {
// cause generated rule to recurse
sub_rule.push_back({WHISPER_GRETYPE_RULE_REF, sub_rule_id});
}
// mark start of alternate def
sub_rule.push_back({WHISPER_GRETYPE_ALT, 0});
if (*pos == '+') {
// add preceding symbol as alternate only for '+' (otherwise empty)
sub_rule.insert(
sub_rule.end(), out_elements.begin() + last_sym_start, out_elements.end());
}
sub_rule.push_back({WHISPER_GRETYPE_END, 0});
add_rule(state, sub_rule_id, sub_rule);
// in original rule, replace previous symbol with reference to generated rule
out_elements.resize(last_sym_start);
out_elements.push_back({WHISPER_GRETYPE_RULE_REF, sub_rule_id});
pos = parse_space(pos + 1, is_nested);
} else {
break;
}
}
return pos;
}
const char * parse_alternates(
parse_state & state,
const char * src,
const std::string & rule_name,
uint32_t rule_id,
bool is_nested) {
std::vector<whisper_grammar_element> rule;
const char * pos = parse_sequence(state, src, rule_name, rule, is_nested);
while (*pos == '|') {
rule.push_back({WHISPER_GRETYPE_ALT, 0});
pos = parse_space(pos + 1, true);
pos = parse_sequence(state, pos, rule_name, rule, is_nested);
}
rule.push_back({WHISPER_GRETYPE_END, 0});
add_rule(state, rule_id, rule);
return pos;
}
const char * parse_rule(parse_state & state, const char * src) {
const char * name_end = parse_name(src);
const char * pos = parse_space(name_end, false);
size_t name_len = name_end - src;
uint32_t rule_id = get_symbol_id(state, src, name_len);
const std::string name(src, name_len);
if (!(pos[0] == ':' && pos[1] == ':' && pos[2] == '=')) {
throw std::runtime_error(std::string("expecting ::= at ") + pos);
}
pos = parse_space(pos + 3, true);
pos = parse_alternates(state, pos, name, rule_id, false);
if (*pos == '\r') {
pos += pos[1] == '\n' ? 2 : 1;
} else if (*pos == '\n') {
pos++;
} else if (*pos) {
throw std::runtime_error(std::string("expecting newline or end at ") + pos);
}
return parse_space(pos, true);
}
parse_state parse(const char * src) {
try {
parse_state state;
const char * pos = parse_space(src, true);
while (*pos) {
pos = parse_rule(state, pos);
}
return state;
} catch (const std::exception & err) {
fprintf(stderr, "%s: error parsing grammar: %s\n", __func__, err.what());
return parse_state();
}
}
void print_grammar_char(FILE * file, uint32_t c) {
if (0x20 <= c && c <= 0x7f) {
fprintf(file, "%c", static_cast<char>(c));
} else {
// cop out of encoding UTF-8
fprintf(file, "<U+%04X>", c);
}
}
bool is_char_element(whisper_grammar_element elem) {
switch (elem.type) {
case WHISPER_GRETYPE_CHAR: return true;
case WHISPER_GRETYPE_CHAR_NOT: return true;
case WHISPER_GRETYPE_CHAR_ALT: return true;
case WHISPER_GRETYPE_CHAR_RNG_UPPER: return true;
default: return false;
}
}
void print_rule_binary(FILE * file, const std::vector<whisper_grammar_element> & rule) {
for (auto elem : rule) {
switch (elem.type) {
case WHISPER_GRETYPE_END: fprintf(file, "END"); break;
case WHISPER_GRETYPE_ALT: fprintf(file, "ALT"); break;
case WHISPER_GRETYPE_RULE_REF: fprintf(file, "RULE_REF"); break;
case WHISPER_GRETYPE_CHAR: fprintf(file, "CHAR"); break;
case WHISPER_GRETYPE_CHAR_NOT: fprintf(file, "CHAR_NOT"); break;
case WHISPER_GRETYPE_CHAR_RNG_UPPER: fprintf(file, "CHAR_RNG_UPPER"); break;
case WHISPER_GRETYPE_CHAR_ALT: fprintf(file, "CHAR_ALT"); break;
}
switch (elem.type) {
case WHISPER_GRETYPE_END:
case WHISPER_GRETYPE_ALT:
case WHISPER_GRETYPE_RULE_REF:
fprintf(file, "(%u) ", elem.value);
break;
case WHISPER_GRETYPE_CHAR:
case WHISPER_GRETYPE_CHAR_NOT:
case WHISPER_GRETYPE_CHAR_RNG_UPPER:
case WHISPER_GRETYPE_CHAR_ALT:
fprintf(file, "(\"");
print_grammar_char(file, elem.value);
fprintf(file, "\") ");
break;
}
}
fprintf(file, "\n");
}
void print_rule(
FILE * file,
uint32_t rule_id,
const std::vector<whisper_grammar_element> & rule,
const std::map<uint32_t, std::string> & symbol_id_names) {
if (rule.empty() || rule.back().type != WHISPER_GRETYPE_END) {
throw std::runtime_error(
"malformed rule, does not end with WHISPER_GRETYPE_END: " + std::to_string(rule_id));
}
fprintf(file, "%s ::= ", symbol_id_names.at(rule_id).c_str());
for (size_t i = 0, end = rule.size() - 1; i < end; i++) {
whisper_grammar_element elem = rule[i];
switch (elem.type) {
case WHISPER_GRETYPE_END:
throw std::runtime_error(
"unexpected end of rule: " + std::to_string(rule_id) + "," +
std::to_string(i));
case WHISPER_GRETYPE_ALT:
fprintf(file, "| ");
break;
case WHISPER_GRETYPE_RULE_REF:
fprintf(file, "%s ", symbol_id_names.at(elem.value).c_str());
break;
case WHISPER_GRETYPE_CHAR:
fprintf(file, "[");
print_grammar_char(file, elem.value);
break;
case WHISPER_GRETYPE_CHAR_NOT:
fprintf(file, "[^");
print_grammar_char(file, elem.value);
break;
case WHISPER_GRETYPE_CHAR_RNG_UPPER:
if (i == 0 || !is_char_element(rule[i - 1])) {
throw std::runtime_error(
"WHISPER_GRETYPE_CHAR_RNG_UPPER without preceding char: " +
std::to_string(rule_id) + "," + std::to_string(i));
}
fprintf(file, "-");
print_grammar_char(file, elem.value);
break;
case WHISPER_GRETYPE_CHAR_ALT:
if (i == 0 || !is_char_element(rule[i - 1])) {
throw std::runtime_error(
"WHISPER_GRETYPE_CHAR_ALT without preceding char: " +
std::to_string(rule_id) + "," + std::to_string(i));
}
print_grammar_char(file, elem.value);
break;
}
if (is_char_element(elem)) {
switch (rule[i + 1].type) {
case WHISPER_GRETYPE_CHAR_ALT:
case WHISPER_GRETYPE_CHAR_RNG_UPPER:
break;
default:
fprintf(file, "] ");
}
}
}
fprintf(file, "\n");
}
void print_grammar(FILE * file, const parse_state & state) {
try {
std::map<uint32_t, std::string> symbol_id_names;
for (auto kv : state.symbol_ids) {
symbol_id_names[kv.second] = kv.first;
}
for (size_t i = 0, end = state.rules.size(); i < end; i++) {
// fprintf(file, "%zu: ", i);
// print_rule_binary(file, state.rules[i]);
print_rule(file, uint32_t(i), state.rules[i], symbol_id_names);
// fprintf(file, "\n");
}
} catch (const std::exception & err) {
fprintf(stderr, "\n%s: error printing grammar: %s\n", __func__, err.what());
}
}
std::vector<const whisper_grammar_element *> parse_state::c_rules() const{
std::vector<const whisper_grammar_element *> ret;
for (const auto & rule : rules) {
ret.push_back(rule.data());
}
return ret;
}
}

29
examples/grammar-parser.h Normal file
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@ -0,0 +1,29 @@
// Implements a parser for an extended Backus-Naur form (BNF), producing the
// binary context-free grammar format specified by whisper.h. Supports character
// ranges, grouping, and repetition operators. As an example, a grammar for
// arithmetic might look like:
//
// root ::= expr
// expr ::= term ([-+*/] term)*
// term ::= num | "(" space expr ")" space
// num ::= [0-9]+ space
// space ::= [ \t\n]*
#pragma once
#include "whisper.h"
#include <vector>
#include <map>
#include <cstdint>
#include <string>
namespace grammar_parser {
struct parse_state {
std::map<std::string, uint32_t> symbol_ids;
std::vector<std::vector<whisper_grammar_element>> rules;
std::vector<const whisper_grammar_element *> c_rules() const;
};
parse_state parse(const char * src);
void print_grammar(FILE * file, const parse_state & state);
}

View File

@ -62,8 +62,8 @@ struct whisper_params {
int32_t progress_step = 5;
int32_t max_context = -1;
int32_t max_len = 0;
int32_t best_of = 2;
int32_t beam_size = -1;
int32_t best_of = whisper_full_default_params(WHISPER_SAMPLING_GREEDY).greedy.best_of;
int32_t beam_size = whisper_full_default_params(WHISPER_SAMPLING_BEAM_SEARCH).beam_search.beam_size;
float word_thold = 0.01f;
float entropy_thold = 2.40f;
@ -925,9 +925,9 @@ int main(int argc, char ** argv) {
if (params.detect_language) {
params.language = "auto";
}
fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, lang = %s, task = %s, %stimestamps = %d ...\n",
fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, %d beams + best of %d, lang = %s, task = %s, %stimestamps = %d ...\n",
__func__, fname_inp.c_str(), int(pcmf32.size()), float(pcmf32.size())/WHISPER_SAMPLE_RATE,
params.n_threads, params.n_processors,
params.n_threads, params.n_processors, params.beam_size, params.best_of,
params.language.c_str(),
params.translate ? "translate" : "transcribe",
params.tinydiarize ? "tdrz = 1, " : "",

View File

@ -53,6 +53,7 @@ struct whisper_params {
int32_t capture_id = -1;
int32_t max_tokens = 32;
int32_t audio_ctx = 0;
int32_t n_gpu_layers = 0;
float vad_thold = 0.6f;
float freq_thold = 100.0f;
@ -90,6 +91,7 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
else if (arg == "-c" || arg == "--capture") { params.capture_id = std::stoi(argv[++i]); }
else if (arg == "-mt" || arg == "--max-tokens") { params.max_tokens = std::stoi(argv[++i]); }
else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(argv[++i]); }
else if (arg == "-ngl" || arg == "--n-gpu-layers") { params.n_gpu_layers = std::stoi(argv[++i]); }
else if (arg == "-vth" || arg == "--vad-thold") { params.vad_thold = std::stof(argv[++i]); }
else if (arg == "-fth" || arg == "--freq-thold") { params.freq_thold = std::stof(argv[++i]); }
else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; }
@ -134,6 +136,7 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
fprintf(stderr, " -c ID, --capture ID [%-7d] capture device ID\n", params.capture_id);
fprintf(stderr, " -mt N, --max-tokens N [%-7d] maximum number of tokens per audio chunk\n", params.max_tokens);
fprintf(stderr, " -ac N, --audio-ctx N [%-7d] audio context size (0 - all)\n", params.audio_ctx);
fprintf(stderr, " -ngl N, --n-gpu-layers N [%-7s] number of layers to store in VRAM\n", params.n_gpu_layers);
fprintf(stderr, " -vth N, --vad-thold N [%-7.2f] voice activity detection threshold\n", params.vad_thold);
fprintf(stderr, " -fth N, --freq-thold N [%-7.2f] high-pass frequency cutoff\n", params.freq_thold);
fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false");
@ -248,7 +251,7 @@ int main(int argc, char ** argv) {
return 1;
}
if (whisper_lang_id(params.language.c_str()) == -1) {
if (params.language != "auto" && whisper_lang_id(params.language.c_str()) == -1) {
fprintf(stderr, "error: unknown language '%s'\n", params.language.c_str());
whisper_print_usage(argc, argv, params);
exit(0);
@ -268,6 +271,8 @@ int main(int argc, char ** argv) {
auto lmparams = llama_model_default_params();
if (!params.use_gpu) {
lmparams.n_gpu_layers = 0;
} else {
lmparams.n_gpu_layers = params.n_gpu_layers;
}
struct llama_model * model_llama = llama_load_model_from_file(params.model_llama.c_str(), lmparams);

View File

@ -121,13 +121,13 @@ bool gpt2_model_load(const std::string & fname, gpt2_model & model, gpt_vocab &
return false;
}
std::string word;
char word[129];
for (int i = 0; i < n_vocab; i++) {
uint32_t len;
fin.read((char *) &len, sizeof(len));
word.resize(len);
fin.read((char *) word.data(), len);
word[len] = '\0';
fin.read((char *) word, len);
vocab.token_to_id[word] = i;
vocab.id_to_token[i] = word;

View File

@ -0,0 +1,15 @@
*.iml
.gradle
/local.properties
/.idea/caches
/.idea/libraries
/.idea/modules.xml
/.idea/workspace.xml
/.idea/navEditor.xml
/.idea/assetWizardSettings.xml
.DS_Store
/build
/captures
.externalNativeBuild
.cxx
local.properties

View File

@ -0,0 +1,20 @@
A sample Android app using java code and [whisper.cpp](https://github.com/ggerganov/whisper.cpp/) to do voice-to-text transcriptions.
To use:
1. Select a model from the [whisper.cpp repository](https://github.com/ggerganov/whisper.cpp/tree/master/models).[^1]
2. Copy the model to the "app/src/main/assets/models" folder.
3. Select a sample audio file (for example, [jfk.wav](https://github.com/ggerganov/whisper.cpp/raw/master/samples/jfk.wav)).
4. Copy the sample to the "app/src/main/assets/samples" folder.
5. Modify the modelFilePath in the WhisperService.java
6. Modify the sampleFilePath in the WhisperService.java
7. Select the "release" active build variant, and use Android Studio to run and deploy to your device.
[^1]: I recommend the tiny or base models for running on an Android device.
PS:
1. Do not move this android project folder individually to other folders, because this android project folder depends on the files of the whole project.
2. The cpp code is compiled during the build process
3. If you want to import a compiled cpp project in your Android project, please refer to the https://github.com/litongjava/whisper.cpp.android.java.demo
![](README_files/1.jpg)

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@ -0,0 +1 @@
/build

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@ -0,0 +1,58 @@
plugins {
id 'com.android.application'
}
android {
compileSdkVersion 30
buildToolsVersion '30.0.3'
defaultConfig {
applicationId "com.litongjava.whisper.android.java"
minSdkVersion 21
targetSdkVersion 30
versionCode 1
versionName "1.0"
testInstrumentationRunner "androidx.test.runner.AndroidJUnitRunner"
externalNativeBuild {
cmake {
cppFlags ""
}
}
ndk {
abiFilters 'arm64-v8a', 'armeabi-v7a', 'x86', 'x86_64'
}
}
buildTypes {
release {
signingConfig signingConfigs.debug
minifyEnabled true
proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro'
}
}
externalNativeBuild {
cmake {
path "src/main/jni/whisper/CMakeLists.txt"
}
}
ndkVersion "25.2.9519653"
compileOptions {
sourceCompatibility JavaVersion.VERSION_1_8
targetCompatibility JavaVersion.VERSION_1_8
}
}
dependencies {
implementation 'androidx.appcompat:appcompat:1.1.0'
implementation 'com.google.android.material:material:1.1.0'
implementation 'androidx.constraintlayout:constraintlayout:1.1.3'
testImplementation 'junit:junit:4.+'
androidTestImplementation 'androidx.test.ext:junit:1.1.5'
androidTestImplementation 'androidx.test.espresso:espresso-core:3.5.1'
//litongjava
implementation 'com.litongjava:android-view-inject:1.0'
implementation 'com.litongjava:jfinal-aop:1.0.1'
implementation 'com.litongjava:litongjava-android-utils:1.0.0'
}

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@ -0,0 +1,21 @@
# Add project specific ProGuard rules here.
# You can control the set of applied configuration files using the
# proguardFiles setting in build.gradle.
#
# For more details, see
# http://developer.android.com/guide/developing/tools/proguard.html
# If your project uses WebView with JS, uncomment the following
# and specify the fully qualified class name to the JavaScript interface
# class:
#-keepclassmembers class fqcn.of.javascript.interface.for.webview {
# public *;
#}
# Uncomment this to preserve the line number information for
# debugging stack traces.
#-keepattributes SourceFile,LineNumberTable
# If you keep the line number information, uncomment this to
# hide the original source file name.
#-renamesourcefileattribute SourceFile

View File

@ -0,0 +1,26 @@
package com.litongjava.whisper.android.java;
import android.content.Context;
import androidx.test.platform.app.InstrumentationRegistry;
import androidx.test.ext.junit.runners.AndroidJUnit4;
import org.junit.Test;
import org.junit.runner.RunWith;
import static org.junit.Assert.*;
/**
* Instrumented test, which will execute on an Android device.
*
* @see <a href="http://d.android.com/tools/testing">Testing documentation</a>
*/
@RunWith(AndroidJUnit4.class)
public class ExampleInstrumentedTest {
@Test
public void useAppContext() {
// Context of the app under test.
Context appContext = InstrumentationRegistry.getInstrumentation().getTargetContext();
assertEquals("com.litongjava.whisper.android.java", appContext.getPackageName());
}
}

View File

@ -0,0 +1,22 @@
<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
package="com.litongjava.whisper.android.java">
<application
android:allowBackup="true"
android:name=".app.App"
android:icon="@mipmap/ic_launcher"
android:label="@string/app_name"
android:roundIcon="@mipmap/ic_launcher_round"
android:supportsRtl="true"
android:theme="@style/Theme.Whisperandroidjava">
<activity android:name=".MainActivity">
<intent-filter>
<action android:name="android.intent.action.MAIN" />
<category android:name="android.intent.category.LAUNCHER" />
</intent-filter>
</activity>
</application>
</manifest>

View File

@ -0,0 +1,40 @@
<?xml version="1.0" encoding="UTF-8" ?>
<configuration debug="false" xmlns="http://ch.qos.logback/xml/ns/logback"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://ch.qos.logback/xml/ns/logback https://raw.githubusercontent.com/enricopulatzo/logback-XSD/master/src/main/xsd/logback.xsd
http://ch.qos.logback/xml/ns/logback ">
<!--Define the storage address of the log file Do not use relative paths in the LogBack configuration. -->
<property name="LOG_HOME" value="logs" />
<!--Formatted output: %d means the date, %-6level: log level from the left display 6 characters wide, %m: log message, %n is a newline character -->
<property name="CONSOLE_LOG_PATTERN"
value="%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-6level%logger{0}.%M:%L - %m%n" />
<!-- console output -->
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
<encoder class="ch.qos.logback.classic.encoder.PatternLayoutEncoder">
<pattern>${CONSOLE_LOG_PATTERN}</pattern>
</encoder>
</appender>
<!-- Generate log files on a daily basis -->
<appender name="FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
<encoder class="ch.qos.logback.classic.encoder.PatternLayoutEncoder">
<pattern>${CONSOLE_LOG_PATTERN}</pattern>
</encoder>
<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
<!--File name for log file output -->
<fileNamePattern>${LOG_HOME}/project-name-%d{yyyy-MM-dd}.log</fileNamePattern>
<!--Maximum size of log file -->
<maxHistory>180</maxHistory>
</rollingPolicy>
<!--日志文件最大的大小 -->
<triggeringPolicy class="ch.qos.logback.core.rolling.SizeBasedTriggeringPolicy">
<maxFileSize>10MB</maxFileSize>
</triggeringPolicy>
</appender>
<!-- Log output level and source-->
<root level="info">
<appender-ref ref="STDOUT" />
<appender-ref ref="FILE" />
</root>
</configuration>

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package com.litongjava.whisper.android.java;
import androidx.annotation.RequiresApi;
import androidx.appcompat.app.AppCompatActivity;
import android.content.Context;
import android.os.Build;
import android.os.Bundle;
import android.os.Handler;
import android.os.Looper;
import android.view.View;
import android.widget.TextView;
import com.blankj.utilcode.util.ThreadUtils;
import com.litongjava.android.view.inject.annotation.FindViewById;
import com.litongjava.android.view.inject.annotation.FindViewByIdLayout;
import com.litongjava.android.view.inject.annotation.OnClick;
import com.litongjava.android.view.inject.utils.ViewInjectUtils;
import com.litongjava.jfinal.aop.Aop;
import com.litongjava.jfinal.aop.AopManager;
import com.litongjava.whisper.android.java.services.WhisperService;
import com.litongjava.whisper.android.java.task.LoadModelTask;
import com.litongjava.whisper.android.java.task.TranscriptionTask;
import com.litongjava.whisper.android.java.utils.AssetUtils;
import com.whispercpp.java.whisper.WhisperLib;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.File;
@FindViewByIdLayout(R.layout.activity_main)
public class MainActivity extends AppCompatActivity {
@FindViewById(R.id.sample_text)
private TextView tv;
Logger log = LoggerFactory.getLogger(this.getClass());
private WhisperService whisperService = Aop.get(WhisperService.class);
@RequiresApi(api = Build.VERSION_CODES.O)
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
//setContentView(R.layout.activity_main);
ViewInjectUtils.injectActivity(this, this);
initAopBean();
showSystemInfo();
}
private void initAopBean() {
Handler mainHandler = new Handler(Looper.getMainLooper());
AopManager.me().addSingletonObject(mainHandler);
}
@RequiresApi(api = Build.VERSION_CODES.O)
@OnClick(R.id.loadModelBtn)
public void loadModelBtn_OnClick(View v) {
Context context = getBaseContext();
ThreadUtils.executeByIo(new LoadModelTask(tv));
}
@OnClick(R.id.transcriptSampleBtn)
public void transcriptSampleBtn_OnClick(View v) {
Context context = getBaseContext();
long start = System.currentTimeMillis();
String sampleFilePath = "samples/jfk.wav";
File filesDir = context.getFilesDir();
File sampleFile = AssetUtils.copyFileIfNotExists(context, filesDir, sampleFilePath);
long end = System.currentTimeMillis();
String msg = "copy file:" + (end - start) + "ms";
outputMsg(tv, msg);
ThreadUtils.executeByIo(new TranscriptionTask(tv, sampleFile));
}
private void outputMsg(TextView tv, String msg) {
tv.append(msg + "\n");
log.info(msg);
}
@RequiresApi(api = Build.VERSION_CODES.O)
@OnClick(R.id.systemInfoBtn)
public void systemInfoBtn_OnClick(View v) {
showSystemInfo();
}
@RequiresApi(api = Build.VERSION_CODES.O)
public void showSystemInfo() {
String systemInfo = WhisperLib.getSystemInfo();
tv.append(systemInfo + "\n");
}
@OnClick(R.id.clearBtn)
public void clearBtn_OnClick(View v) {
tv.setText("");
}
@RequiresApi(api = Build.VERSION_CODES.O)
@Override
protected void onDestroy() {
super.onDestroy();
whisperService.release();
}
}

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package com.litongjava.whisper.android.java.app;
import android.app.Application;
import com.blankj.utilcode.util.Utils;
public class App extends Application {
@Override
public void onCreate() {
super.onCreate();
Utils.init(this);
}
}

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package com.litongjava.whisper.android.java.bean;
/**
* Created by litonglinux@qq.com on 10/21/2023_7:48 AM
*/
public class WhisperSegment {
private long start, end;
private String sentence;
public WhisperSegment() {
}
public WhisperSegment(long start, long end, String sentence) {
this.start = start;
this.end = end;
this.sentence = sentence;
}
public long getStart() {
return start;
}
public long getEnd() {
return end;
}
public String getSentence() {
return sentence;
}
public void setStart(long start) {
this.start = start;
}
public void setEnd(long end) {
this.end = end;
}
public void setSentence(String sentence) {
this.sentence = sentence;
}
@Override
public String toString() {
return "["+start+" --> "+end+"]:"+sentence;
}
}

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package com.litongjava.whisper.android.java.services;
import android.content.Context;
import android.os.Build;
import android.os.Handler;
import android.widget.TextView;
import android.widget.Toast;
import androidx.annotation.RequiresApi;
import com.blankj.utilcode.util.ToastUtils;
import com.blankj.utilcode.util.Utils;
import com.litongjava.android.utils.dialog.AlertDialogUtils;
import com.litongjava.jfinal.aop.Aop;
import com.litongjava.whisper.android.java.bean.WhisperSegment;
import com.litongjava.whisper.android.java.single.LocalWhisper;
import com.litongjava.whisper.android.java.utils.WaveEncoder;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.File;
import java.io.IOException;
import java.util.List;
import java.util.concurrent.ExecutionException;
public class WhisperService {
private Logger log = LoggerFactory.getLogger(this.getClass());
private final Object lock = new Object();
@RequiresApi(api = Build.VERSION_CODES.O)
public void loadModel(TextView tv) {
String modelFilePath = LocalWhisper.modelFilePath;
String msg = "load model from :" + modelFilePath + "\n";
outputMsg(tv, msg);
long start = System.currentTimeMillis();
LocalWhisper.INSTANCE.init();
long end = System.currentTimeMillis();
msg = "model load successful:" + (end - start) + "ms";
outputMsg(tv, msg);
ToastUtils.showLong(msg);
}
@RequiresApi(api = Build.VERSION_CODES.O)
public void transcribeSample(TextView tv, File sampleFile) {
String msg = "";
msg = "transcribe file from :" + sampleFile.getAbsolutePath();
outputMsg(tv, msg);
Long start = System.currentTimeMillis();
float[] audioData = new float[0]; // 读取音频样本
try {
audioData = WaveEncoder.decodeWaveFile(sampleFile);
} catch (IOException e) {
e.printStackTrace();
return;
}
long end = System.currentTimeMillis();
msg = "decode wave file:" + (end - start) + "ms";
outputMsg(tv, msg);
start = System.currentTimeMillis();
List<WhisperSegment> transcription = null;
try {
//transcription = LocalWhisper.INSTANCE.transcribeData(audioData);
transcription = LocalWhisper.INSTANCE.transcribeDataWithTime(audioData);
} catch (ExecutionException e) {
e.printStackTrace();
} catch (InterruptedException e) {
e.printStackTrace();
}
end = System.currentTimeMillis();
if(transcription!=null){
ToastUtils.showLong(transcription.toString());
msg = "Transcript successful:" + (end - start) + "ms";
outputMsg(tv, msg);
outputMsg(tv, transcription.toString());
}else{
msg = "Transcript failed:" + (end - start) + "ms";
outputMsg(tv, msg);
}
}
private void outputMsg(TextView tv, String msg) {
log.info(msg);
if(tv!=null){
Aop.get(Handler.class).post(()->{ tv.append(msg + "\n");});
}
}
@RequiresApi(api = Build.VERSION_CODES.O)
public void release() {
//noting to do
}
}

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package com.litongjava.whisper.android.java.single;
import android.app.Application;
import android.os.Build;
import android.os.Handler;
import androidx.annotation.RequiresApi;
import com.blankj.utilcode.util.ToastUtils;
import com.blankj.utilcode.util.Utils;
import com.litongjava.jfinal.aop.Aop;
import com.litongjava.whisper.android.java.bean.WhisperSegment;
import com.litongjava.whisper.android.java.utils.AssetUtils;
import com.whispercpp.java.whisper.WhisperContext;
import java.io.File;
import java.util.List;
import java.util.concurrent.ExecutionException;
@RequiresApi(api = Build.VERSION_CODES.O)
public enum LocalWhisper {
INSTANCE;
public static final String modelFilePath = "models/ggml-tiny.bin";
private WhisperContext whisperContext;
@RequiresApi(api = Build.VERSION_CODES.O)
LocalWhisper() {
Application context = Utils.getApp();
File filesDir = context.getFilesDir();
File modelFile = AssetUtils.copyFileIfNotExists(context, filesDir, modelFilePath);
String realModelFilePath = modelFile.getAbsolutePath();
whisperContext = WhisperContext.createContextFromFile(realModelFilePath);
}
public synchronized String transcribeData(float[] data) throws ExecutionException, InterruptedException {
if(whisperContext==null){
toastModelLoading();
return null;
}else{
return whisperContext.transcribeData(data);
}
}
private static void toastModelLoading() {
Aop.get(Handler.class).post(()->{
ToastUtils.showShort("please wait for model loading");
});
}
public List<WhisperSegment> transcribeDataWithTime(float[] audioData) throws ExecutionException, InterruptedException {
if(whisperContext==null){
toastModelLoading();
return null;
}else{
return whisperContext.transcribeDataWithTime(audioData);
}
}
public void init() {
//noting to do.but init
}
}

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package com.litongjava.whisper.android.java.task;
import android.content.Context;
import android.os.Build;
import android.os.Handler;
import android.widget.TextView;
import com.blankj.utilcode.util.ThreadUtils;
import com.litongjava.jfinal.aop.Aop;
import com.litongjava.whisper.android.java.services.WhisperService;
import java.io.File;
public class LoadModelTask extends ThreadUtils.Task<Object> {
private final TextView tv;
public LoadModelTask(TextView tv) {
this.tv = tv;
}
@Override
public Object doInBackground() {
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.O) {
Aop.get(WhisperService.class).loadModel(tv);
}else{
Aop.get(Handler.class).post(()->{
tv.append("not supported android devices");
});
}
return null;
}
@Override
public void onSuccess(Object result) {
}
@Override
public void onCancel() {
}
@Override
public void onFail(Throwable t) {
}
}

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package com.litongjava.whisper.android.java.task;
import android.content.Context;
import android.os.Build;
import android.widget.TextView;
import com.blankj.utilcode.util.ThreadUtils;
import com.litongjava.jfinal.aop.Aop;
import com.litongjava.whisper.android.java.services.WhisperService;
import java.io.File;
public class TranscriptionTask extends ThreadUtils.Task<Object> {
private final TextView tv;
private final File sampleFile;
public TranscriptionTask(TextView tv, File sampleFile) {
this.tv = tv;
this.sampleFile = sampleFile;
}
@Override
public Object doInBackground() {
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.O) {
Aop.get(WhisperService.class).transcribeSample(tv, sampleFile);
}else{
tv.append("not supported android devices");
}
return null;
}
@Override
public void onSuccess(Object result) {
}
@Override
public void onCancel() {
}
@Override
public void onFail(Throwable t) {
}
}

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package com.litongjava.whisper.android.java.utils;
import android.content.Context;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.BufferedInputStream;
import java.io.BufferedOutputStream;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;
public class AssetUtils {
private static Logger log = LoggerFactory.getLogger(AssetUtils.class);
public static File copyFileIfNotExists(Context context, File distDir, String filename) {
File dstFile = new File(distDir, filename);
if (dstFile.exists()) {
return dstFile;
} else {
File parentFile = dstFile.getParentFile();
log.info("parentFile:{}", parentFile);
if (!parentFile.exists()) {
parentFile.mkdirs();
}
AssetUtils.copyFileFromAssets(context, filename, dstFile);
}
return dstFile;
}
public static void copyDirectoryFromAssets(Context appCtx, String srcDir, String dstDir) {
if (srcDir.isEmpty() || dstDir.isEmpty()) {
return;
}
try {
if (!new File(dstDir).exists()) {
new File(dstDir).mkdirs();
}
for (String fileName : appCtx.getAssets().list(srcDir)) {
String srcSubPath = srcDir + File.separator + fileName;
String dstSubPath = dstDir + File.separator + fileName;
if (new File(srcSubPath).isDirectory()) {
copyDirectoryFromAssets(appCtx, srcSubPath, dstSubPath);
} else {
copyFileFromAssets(appCtx, srcSubPath, dstSubPath);
}
}
} catch (Exception e) {
e.printStackTrace();
}
}
public static void copyFileFromAssets(Context appCtx, String srcPath, String dstPath) {
File dstFile = new File(dstPath);
copyFileFromAssets(appCtx, srcPath, dstFile);
}
public static void copyFileFromAssets(Context appCtx, String srcPath, File dstFile) {
if (srcPath.isEmpty()) {
return;
}
InputStream is = null;
OutputStream os = null;
try {
is = new BufferedInputStream(appCtx.getAssets().open(srcPath));
os = new BufferedOutputStream(new FileOutputStream(dstFile));
byte[] buffer = new byte[1024];
int length = 0;
while ((length = is.read(buffer)) != -1) {
os.write(buffer, 0, length);
}
} catch (FileNotFoundException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
} finally {
try {
os.close();
is.close();
} catch (IOException e) {
e.printStackTrace();
}
}
}
}

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package com.litongjava.whisper.android.java.utils;
import java.io.ByteArrayOutputStream;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileOutputStream;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.nio.ByteOrder;
import java.nio.ShortBuffer;
public class WaveEncoder {
public static float[] decodeWaveFile(File file) throws IOException {
ByteArrayOutputStream baos = new ByteArrayOutputStream();
try (FileInputStream fis = new FileInputStream(file)) {
byte[] buffer = new byte[1024];
int bytesRead;
while ((bytesRead = fis.read(buffer)) != -1) {
baos.write(buffer, 0, bytesRead);
}
}
ByteBuffer byteBuffer = ByteBuffer.wrap(baos.toByteArray());
byteBuffer.order(ByteOrder.LITTLE_ENDIAN);
int channel = byteBuffer.getShort(22);
byteBuffer.position(44);
ShortBuffer shortBuffer = byteBuffer.asShortBuffer();
short[] shortArray = new short[shortBuffer.limit()];
shortBuffer.get(shortArray);
float[] output = new float[shortArray.length / channel];
for (int index = 0; index < output.length; index++) {
if (channel == 1) {
output[index] = Math.max(-1f, Math.min(1f, shortArray[index] / 32767.0f));
} else {
output[index] = Math.max(-1f, Math.min(1f, (shortArray[2 * index] + shortArray[2 * index + 1]) / 32767.0f / 2.0f));
}
}
return output;
}
public static void encodeWaveFile(File file, short[] data) throws IOException {
try (FileOutputStream fos = new FileOutputStream(file)) {
fos.write(headerBytes(data.length * 2));
ByteBuffer buffer = ByteBuffer.allocate(data.length * 2);
buffer.order(ByteOrder.LITTLE_ENDIAN);
buffer.asShortBuffer().put(data);
byte[] bytes = new byte[buffer.limit()];
buffer.get(bytes);
fos.write(bytes);
}
}
private static byte[] headerBytes(int totalLength) {
if (totalLength < 44)
throw new IllegalArgumentException("Total length must be at least 44 bytes");
ByteBuffer buffer = ByteBuffer.allocate(44);
buffer.order(ByteOrder.LITTLE_ENDIAN);
buffer.put((byte) 'R');
buffer.put((byte) 'I');
buffer.put((byte) 'F');
buffer.put((byte) 'F');
buffer.putInt(totalLength - 8);
buffer.put((byte) 'W');
buffer.put((byte) 'A');
buffer.put((byte) 'V');
buffer.put((byte) 'E');
buffer.put((byte) 'f');
buffer.put((byte) 'm');
buffer.put((byte) 't');
buffer.put((byte) ' ');
buffer.putInt(16);
buffer.putShort((short) 1);
buffer.putShort((short) 1);
buffer.putInt(16000);
buffer.putInt(32000);
buffer.putShort((short) 2);
buffer.putShort((short) 16);
buffer.put((byte) 'd');
buffer.put((byte) 'a');
buffer.put((byte) 't');
buffer.put((byte) 'a');
buffer.putInt(totalLength - 44);
buffer.position(0);
byte[] bytes = new byte[buffer.limit()];
buffer.get(bytes);
return bytes;
}
}

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package com.whispercpp.java.whisper;
import android.os.Build;
import android.util.Log;
import androidx.annotation.RequiresApi;
import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
public class CpuInfo {
private static final String LOG_TAG = "WhisperCpuConfig";
private List<String> lines;
public CpuInfo(List<String> lines) {
this.lines = lines;
}
@RequiresApi(api = Build.VERSION_CODES.N)
public int getHighPerfCpuCount0() {
try {
return getHighPerfCpuCountByFrequencies();
} catch (Exception e) {
Log.d(LOG_TAG, "Couldn't read CPU frequencies", e);
return getHighPerfCpuCountByVariant();
}
}
@RequiresApi(api = Build.VERSION_CODES.N)
private int getHighPerfCpuCountByFrequencies() {
List<Integer> frequencies = getCpuValues("processor", line -> {
try {
return getMaxCpuFrequency(Integer.parseInt(line.trim()));
} catch (IOException e) {
e.printStackTrace();
}
return 0;
}
);
Log.d(LOG_TAG, "Binned cpu frequencies (frequency, count): " + binnedValues(frequencies));
return countDroppingMin(frequencies);
}
@RequiresApi(api = Build.VERSION_CODES.N)
private int getHighPerfCpuCountByVariant() {
List<Integer> variants = getCpuValues("CPU variant", line -> Integer.parseInt(line.trim().substring(line.indexOf("0x") + 2), 16));
Log.d(LOG_TAG, "Binned cpu variants (variant, count): " + binnedValues(variants));
return countKeepingMin(variants);
}
@RequiresApi(api = Build.VERSION_CODES.N)
private Map<Integer, Integer> binnedValues(List<Integer> values) {
Map<Integer, Integer> countMap = new HashMap<>();
for (int value : values) {
countMap.put(value, countMap.getOrDefault(value, 0) + 1);
}
return countMap;
}
@RequiresApi(api = Build.VERSION_CODES.N)
private List<Integer> getCpuValues(String property, Mapper mapper) {
List<Integer> values = new ArrayList<>();
for (String line : lines) {
if (line.startsWith(property)) {
values.add(mapper.map(line.substring(line.indexOf(':') + 1)));
}
}
values.sort(Integer::compareTo);
return values;
}
@RequiresApi(api = Build.VERSION_CODES.N)
private int countDroppingMin(List<Integer> values) {
int min = values.stream().mapToInt(i -> i).min().orElse(Integer.MAX_VALUE);
return (int) values.stream().filter(value -> value > min).count();
}
@RequiresApi(api = Build.VERSION_CODES.N)
private int countKeepingMin(List<Integer> values) {
int min = values.stream().mapToInt(i -> i).min().orElse(Integer.MAX_VALUE);
return (int) values.stream().filter(value -> value.equals(min)).count();
}
@RequiresApi(api = Build.VERSION_CODES.N)
public static int getHighPerfCpuCount() {
try {
return readCpuInfo().getHighPerfCpuCount0();
} catch (Exception e) {
Log.d(LOG_TAG, "Couldn't read CPU info", e);
return Math.max(Runtime.getRuntime().availableProcessors() - 4, 0);
}
}
private static CpuInfo readCpuInfo() throws IOException {
try (BufferedReader reader = new BufferedReader(new FileReader("/proc/cpuinfo"))) {
List<String> lines = new ArrayList<>();
String line;
while ((line = reader.readLine()) != null) {
lines.add(line);
}
return new CpuInfo(lines);
}
}
private static int getMaxCpuFrequency(int cpuIndex) throws IOException {
String path = "/sys/devices/system/cpu/cpu" + cpuIndex + "/cpufreq/cpuinfo_max_freq";
try (BufferedReader reader = new BufferedReader(new FileReader(path))) {
return Integer.parseInt(reader.readLine());
}
}
private interface Mapper {
int map(String line);
}
}

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package com.whispercpp.java.whisper;
import android.content.res.AssetManager;
import android.os.Build;
import android.util.Log;
import androidx.annotation.RequiresApi;
import com.litongjava.whisper.android.java.bean.WhisperSegment;
import java.io.InputStream;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
public class WhisperContext {
private static final String LOG_TAG = "LibWhisper";
private long ptr;
private final ExecutorService executorService;
private WhisperContext(long ptr) {
this.ptr = ptr;
this.executorService = Executors.newSingleThreadExecutor();
}
public String transcribeData(float[] data) throws ExecutionException, InterruptedException {
return executorService.submit(new Callable<String>() {
@RequiresApi(api = Build.VERSION_CODES.O)
@Override
public String call() throws Exception {
if (ptr == 0L) {
throw new IllegalStateException();
}
int numThreads = WhisperCpuConfig.getPreferredThreadCount();
Log.d(LOG_TAG, "Selecting " + numThreads + " threads");
StringBuilder result = new StringBuilder();
synchronized (this) {
WhisperLib.fullTranscribe(ptr, numThreads, data);
int textCount = WhisperLib.getTextSegmentCount(ptr);
for (int i = 0; i < textCount; i++) {
String sentence = WhisperLib.getTextSegment(ptr, i);
result.append(sentence);
}
}
return result.toString();
}
}).get();
}
public List<WhisperSegment> transcribeDataWithTime(float[] data) throws ExecutionException, InterruptedException {
return executorService.submit(new Callable<List<WhisperSegment>>() {
@RequiresApi(api = Build.VERSION_CODES.O)
@Override
public List<WhisperSegment> call() throws Exception {
if (ptr == 0L) {
throw new IllegalStateException();
}
int numThreads = WhisperCpuConfig.getPreferredThreadCount();
Log.d(LOG_TAG, "Selecting " + numThreads + " threads");
List<WhisperSegment> segments = new ArrayList<>();
synchronized (this) {
// StringBuilder result = new StringBuilder();
WhisperLib.fullTranscribe(ptr, numThreads, data);
int textCount = WhisperLib.getTextSegmentCount(ptr);
for (int i = 0; i < textCount; i++) {
long start = WhisperLib.getTextSegmentT0(ptr, i);
String sentence = WhisperLib.getTextSegment(ptr, i);
long end = WhisperLib.getTextSegmentT1(ptr, i);
// result.append();
segments.add(new WhisperSegment(start, end, sentence));
}
// return result.toString();
}
return segments;
}
}).get();
}
@RequiresApi(api = Build.VERSION_CODES.O)
public String benchMemory(int nthreads) throws ExecutionException, InterruptedException {
return executorService.submit(() -> WhisperLib.benchMemcpy(nthreads)).get();
}
@RequiresApi(api = Build.VERSION_CODES.O)
public String benchGgmlMulMat(int nthreads) throws ExecutionException, InterruptedException {
return executorService.submit(() -> WhisperLib.benchGgmlMulMat(nthreads)).get();
}
@RequiresApi(api = Build.VERSION_CODES.O)
public void release() throws ExecutionException, InterruptedException {
executorService.submit(() -> {
if (ptr != 0L) {
WhisperLib.freeContext(ptr);
ptr = 0;
}
}).get();
}
@RequiresApi(api = Build.VERSION_CODES.O)
public static WhisperContext createContextFromFile(String filePath) {
long ptr = WhisperLib.initContext(filePath);
if (ptr == 0L) {
throw new RuntimeException("Couldn't create context with path " + filePath);
}
return new WhisperContext(ptr);
}
@RequiresApi(api = Build.VERSION_CODES.O)
public static WhisperContext createContextFromInputStream(InputStream stream) {
long ptr = WhisperLib.initContextFromInputStream(stream);
if (ptr == 0L) {
throw new RuntimeException("Couldn't create context from input stream");
}
return new WhisperContext(ptr);
}
@RequiresApi(api = Build.VERSION_CODES.O)
public static WhisperContext createContextFromAsset(AssetManager assetManager, String assetPath) {
long ptr = WhisperLib.initContextFromAsset(assetManager, assetPath);
if (ptr == 0L) {
throw new RuntimeException("Couldn't create context from asset " + assetPath);
}
return new WhisperContext(ptr);
}
@RequiresApi(api = Build.VERSION_CODES.O)
public static String getSystemInfo() {
return WhisperLib.getSystemInfo();
}
}

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package com.whispercpp.java.whisper;
import android.os.Build;
import androidx.annotation.RequiresApi;
public class WhisperCpuConfig {
@RequiresApi(api = Build.VERSION_CODES.N)
public static int getPreferredThreadCount() {
return Math.max(CpuInfo.getHighPerfCpuCount(), 2);
}
}

View File

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package com.whispercpp.java.whisper;
import android.content.res.AssetManager;
import android.os.Build;
import android.util.Log;
import androidx.annotation.RequiresApi;
import java.io.InputStream;
@RequiresApi(api = Build.VERSION_CODES.O)
public class WhisperLib {
private static final String LOG_TAG = "LibWhisper";
static {
Log.d(LOG_TAG, "Primary ABI: " + Build.SUPPORTED_ABIS[0]);
boolean loadVfpv4 = false;
boolean loadV8fp16 = false;
if (WhisperUtils.isArmEabiV7a()) {
String cpuInfo = WhisperUtils.cpuInfo();
if (cpuInfo != null) {
Log.d(LOG_TAG, "CPU info: " + cpuInfo);
if (cpuInfo.contains("vfpv4")) {
Log.d(LOG_TAG, "CPU supports vfpv4");
loadVfpv4 = true;
}
}
} else if (WhisperUtils.isArmEabiV8a()) {
String cpuInfo = WhisperUtils.cpuInfo();
if (cpuInfo != null) {
Log.d(LOG_TAG, "CPU info: " + cpuInfo);
if (cpuInfo.contains("fphp")) {
Log.d(LOG_TAG, "CPU supports fp16 arithmetic");
loadV8fp16 = true;
}
}
}
if (loadVfpv4) {
Log.d(LOG_TAG, "Loading libwhisper_vfpv4.so");
System.loadLibrary("whisper_vfpv4");
} else if (loadV8fp16) {
Log.d(LOG_TAG, "Loading libwhisper_v8fp16_va.so");
System.loadLibrary("whisper_v8fp16_va");
} else {
Log.d(LOG_TAG, "Loading libwhisper.so");
System.loadLibrary("whisper");
}
}
public static native long initContextFromInputStream(InputStream inputStream);
public static native long initContextFromAsset(AssetManager assetManager, String assetPath);
public static native long initContext(String modelPath);
public static native void freeContext(long contextPtr);
public static native void fullTranscribe(long contextPtr, int numThreads, float[] audioData);
public static native int getTextSegmentCount(long contextPtr);
public static native String getTextSegment(long contextPtr, int index);
public static native long getTextSegmentT0(long contextPtr, int index);
public static native long getTextSegmentT1(long contextPtr, int index);
public static native String getSystemInfo();
public static native String benchMemcpy(int nthread);
public static native String benchGgmlMulMat(int nthread);
}

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package com.whispercpp.java.whisper;
import android.os.Build;
import android.util.Log;
import androidx.annotation.RequiresApi;
import java.io.File;
import java.nio.file.Path;
public class WhisperUtils {
private static final String LOG_TAG = "LibWhisper";
public static boolean isArmEabiV7a() {
return Build.SUPPORTED_ABIS[0].equals("armeabi-v7a");
}
public static boolean isArmEabiV8a() {
return Build.SUPPORTED_ABIS[0].equals("arm64-v8a");
}
@RequiresApi(api = Build.VERSION_CODES.O)
public static String cpuInfo() {
try {
Path path = new File("/proc/cpuinfo").toPath();
return new String(java.nio.file.Files.readAllBytes(path));
} catch (Exception e) {
Log.w(LOG_TAG, "Couldn't read /proc/cpuinfo", e);
return null;
}
}
}

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cmake_minimum_required(VERSION 3.10)
project(whisper.cpp)
set(CMAKE_CXX_STANDARD 11)
set(WHISPER_LIB_DIR ${CMAKE_SOURCE_DIR}/../../../../../../../)
set(
SOURCE_FILES
${WHISPER_LIB_DIR}/ggml.c
${WHISPER_LIB_DIR}/ggml-alloc.c
${WHISPER_LIB_DIR}/ggml-backend.c
${WHISPER_LIB_DIR}/ggml-quants.c
${WHISPER_LIB_DIR}/whisper.cpp
${CMAKE_SOURCE_DIR}/jni.c
)
find_library(LOG_LIB log)
function(build_library target_name)
add_library(
${target_name}
SHARED
${SOURCE_FILES}
)
target_link_libraries(${target_name} ${LOG_LIB} android)
if (${target_name} STREQUAL "whisper_v8fp16_va")
target_compile_options(${target_name} PRIVATE -march=armv8.2-a+fp16)
elseif (${target_name} STREQUAL "whisper_vfpv4")
target_compile_options(${target_name} PRIVATE -mfpu=neon-vfpv4)
endif ()
if (NOT ${CMAKE_BUILD_TYPE} STREQUAL "Debug")
target_compile_options(${target_name} PRIVATE -O3)
target_compile_options(${target_name} PRIVATE -fvisibility=hidden -fvisibility-inlines-hidden)
target_compile_options(${target_name} PRIVATE -ffunction-sections -fdata-sections)
#target_link_options(${target_name} PRIVATE -Wl,--gc-sections)
#target_link_options(${target_name} PRIVATE -Wl,--exclude-libs,ALL)
#target_link_options(${target_name} PRIVATE -flto)
endif ()
endfunction()
build_library("whisper") # Default target
if (${ANDROID_ABI} STREQUAL "arm64-v8a")
build_library("whisper_v8fp16_va")
elseif (${ANDROID_ABI} STREQUAL "armeabi-v7a")
build_library("whisper_vfpv4")
endif ()
include_directories(${WHISPER_LIB_DIR})

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#include <jni.h>
#include <android/asset_manager.h>
#include <android/asset_manager_jni.h>
#include <android/log.h>
#include <stdlib.h>
#include <sys/sysinfo.h>
#include <string.h>
#include "whisper.h"
#include "ggml.h"
#define UNUSED(x) (void)(x)
#define TAG "JNI"
#define LOGI(...) __android_log_print(ANDROID_LOG_INFO, TAG, __VA_ARGS__)
#define LOGW(...) __android_log_print(ANDROID_LOG_WARN, TAG, __VA_ARGS__)
static inline int min(int a, int b) {
return (a < b) ? a : b;
}
static inline int max(int a, int b) {
return (a > b) ? a : b;
}
struct input_stream_context {
size_t offset;
JNIEnv * env;
jobject thiz;
jobject input_stream;
jmethodID mid_available;
jmethodID mid_read;
};
size_t inputStreamRead(void * ctx, void * output, size_t read_size) {
struct input_stream_context* is = (struct input_stream_context*)ctx;
jint avail_size = (*is->env)->CallIntMethod(is->env, is->input_stream, is->mid_available);
jint size_to_copy = read_size < avail_size ? (jint)read_size : avail_size;
jbyteArray byte_array = (*is->env)->NewByteArray(is->env, size_to_copy);
jint n_read = (*is->env)->CallIntMethod(is->env, is->input_stream, is->mid_read, byte_array, 0, size_to_copy);
if (size_to_copy != read_size || size_to_copy != n_read) {
LOGI("Insufficient Read: Req=%zu, ToCopy=%d, Available=%d", read_size, size_to_copy, n_read);
}
jbyte* byte_array_elements = (*is->env)->GetByteArrayElements(is->env, byte_array, NULL);
memcpy(output, byte_array_elements, size_to_copy);
(*is->env)->ReleaseByteArrayElements(is->env, byte_array, byte_array_elements, JNI_ABORT);
(*is->env)->DeleteLocalRef(is->env, byte_array);
is->offset += size_to_copy;
return size_to_copy;
}
bool inputStreamEof(void * ctx) {
struct input_stream_context* is = (struct input_stream_context*)ctx;
jint result = (*is->env)->CallIntMethod(is->env, is->input_stream, is->mid_available);
return result <= 0;
}
void inputStreamClose(void * ctx) {
}
JNIEXPORT jlong JNICALL
Java_com_whispercpp_java_whisper_WhisperLib_initContextFromInputStream(
JNIEnv *env, jobject thiz, jobject input_stream) {
UNUSED(thiz);
struct whisper_context *context = NULL;
struct whisper_model_loader loader = {};
struct input_stream_context inp_ctx = {};
inp_ctx.offset = 0;
inp_ctx.env = env;
inp_ctx.thiz = thiz;
inp_ctx.input_stream = input_stream;
jclass cls = (*env)->GetObjectClass(env, input_stream);
inp_ctx.mid_available = (*env)->GetMethodID(env, cls, "available", "()I");
inp_ctx.mid_read = (*env)->GetMethodID(env, cls, "read", "([BII)I");
loader.context = &inp_ctx;
loader.read = inputStreamRead;
loader.eof = inputStreamEof;
loader.close = inputStreamClose;
loader.eof(loader.context);
context = whisper_init(&loader);
return (jlong) context;
}
static size_t asset_read(void *ctx, void *output, size_t read_size) {
return AAsset_read((AAsset *) ctx, output, read_size);
}
static bool asset_is_eof(void *ctx) {
return AAsset_getRemainingLength64((AAsset *) ctx) <= 0;
}
static void asset_close(void *ctx) {
AAsset_close((AAsset *) ctx);
}
static struct whisper_context *whisper_init_from_asset(
JNIEnv *env,
jobject assetManager,
const char *asset_path
) {
LOGI("Loading model from asset '%s'\n", asset_path);
AAssetManager *asset_manager = AAssetManager_fromJava(env, assetManager);
AAsset *asset = AAssetManager_open(asset_manager, asset_path, AASSET_MODE_STREAMING);
if (!asset) {
LOGW("Failed to open '%s'\n", asset_path);
return NULL;
}
whisper_model_loader loader = {
.context = asset,
.read = &asset_read,
.eof = &asset_is_eof,
.close = &asset_close
};
return whisper_init(&loader);
}
JNIEXPORT jlong JNICALL
Java_com_whispercpp_java_whisper_WhisperLib_initContextFromAsset(
JNIEnv *env, jobject thiz, jobject assetManager, jstring asset_path_str) {
UNUSED(thiz);
struct whisper_context *context = NULL;
const char *asset_path_chars = (*env)->GetStringUTFChars(env, asset_path_str, NULL);
context = whisper_init_from_asset(env, assetManager, asset_path_chars);
(*env)->ReleaseStringUTFChars(env, asset_path_str, asset_path_chars);
return (jlong) context;
}
JNIEXPORT jlong JNICALL
Java_com_whispercpp_java_whisper_WhisperLib_initContext(
JNIEnv *env, jobject thiz, jstring model_path_str) {
UNUSED(thiz);
struct whisper_context *context = NULL;
const char *model_path_chars = (*env)->GetStringUTFChars(env, model_path_str, NULL);
context = whisper_init_from_file(model_path_chars);
(*env)->ReleaseStringUTFChars(env, model_path_str, model_path_chars);
return (jlong) context;
}
JNIEXPORT void JNICALL
Java_com_whispercpp_java_whisper_WhisperLib_freeContext(
JNIEnv *env, jobject thiz, jlong context_ptr) {
UNUSED(env);
UNUSED(thiz);
struct whisper_context *context = (struct whisper_context *) context_ptr;
whisper_free(context);
}
JNIEXPORT void JNICALL
Java_com_whispercpp_java_whisper_WhisperLib_fullTranscribe(
JNIEnv *env, jobject thiz, jlong context_ptr, jint num_threads, jfloatArray audio_data) {
UNUSED(thiz);
struct whisper_context *context = (struct whisper_context *) context_ptr;
jfloat *audio_data_arr = (*env)->GetFloatArrayElements(env, audio_data, NULL);
const jsize audio_data_length = (*env)->GetArrayLength(env, audio_data);
// The below adapted from the Objective-C iOS sample
struct whisper_full_params params = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
params.print_realtime = true;
params.print_progress = false;
params.print_timestamps = true;
params.print_special = false;
params.translate = false;
params.language = "en";
params.n_threads = num_threads;
params.offset_ms = 0;
params.no_context = true;
params.single_segment = false;
whisper_reset_timings(context);
LOGI("About to run whisper_full");
if (whisper_full(context, params, audio_data_arr, audio_data_length) != 0) {
LOGI("Failed to run the model");
} else {
whisper_print_timings(context);
}
(*env)->ReleaseFloatArrayElements(env, audio_data, audio_data_arr, JNI_ABORT);
}
JNIEXPORT jint JNICALL
Java_com_whispercpp_java_whisper_WhisperLib_getTextSegmentCount(
JNIEnv *env, jobject thiz, jlong context_ptr) {
UNUSED(env);
UNUSED(thiz);
struct whisper_context *context = (struct whisper_context *) context_ptr;
return whisper_full_n_segments(context);
}
JNIEXPORT jstring JNICALL
Java_com_whispercpp_java_whisper_WhisperLib_getTextSegment(
JNIEnv *env, jobject thiz, jlong context_ptr, jint index) {
UNUSED(thiz);
struct whisper_context *context = (struct whisper_context *) context_ptr;
const char *text = whisper_full_get_segment_text(context, index);
jstring string = (*env)->NewStringUTF(env, text);
return string;
}
JNIEXPORT jlong JNICALL
Java_com_whispercpp_java_whisper_WhisperLib_getTextSegmentT0(JNIEnv *env, jobject thiz,jlong context_ptr, jint index) {
UNUSED(thiz);
struct whisper_context *context = (struct whisper_context *) context_ptr;
const int64_t t0 = whisper_full_get_segment_t0(context, index);
return (jlong)t0;
}
JNIEXPORT jlong JNICALL
Java_com_whispercpp_java_whisper_WhisperLib_getTextSegmentT1(JNIEnv *env, jobject thiz,jlong context_ptr, jint index) {
UNUSED(thiz);
struct whisper_context *context = (struct whisper_context *) context_ptr;
const int64_t t1 = whisper_full_get_segment_t1(context, index);
return (jlong)t1;
}
JNIEXPORT jstring JNICALL
Java_com_whispercpp_java_whisper_WhisperLib_getSystemInfo(
JNIEnv *env, jobject thiz
) {
UNUSED(thiz);
const char *sysinfo = whisper_print_system_info();
jstring string = (*env)->NewStringUTF(env, sysinfo);
return string;
}
JNIEXPORT jstring JNICALL
Java_com_whispercpp_java_whisper_WhisperLib_benchMemcpy(JNIEnv *env, jobject thiz,
jint n_threads) {
UNUSED(thiz);
const char *bench_ggml_memcpy = whisper_bench_memcpy_str(n_threads);
jstring string = (*env)->NewStringUTF(env, bench_ggml_memcpy);
}
JNIEXPORT jstring JNICALL
Java_com_whispercpp_java_whisper_WhisperLib_benchGgmlMulMat(JNIEnv *env, jobject thiz,
jint n_threads) {
UNUSED(thiz);
const char *bench_ggml_mul_mat = whisper_bench_ggml_mul_mat_str(n_threads);
jstring string = (*env)->NewStringUTF(env, bench_ggml_mul_mat);
}

View File

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xmlns:aapt="http://schemas.android.com/aapt"
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android:viewportWidth="108"
android:viewportHeight="108">
<path android:pathData="M31,63.928c0,0 6.4,-11 12.1,-13.1c7.2,-2.6 26,-1.4 26,-1.4l38.1,38.1L107,108.928l-32,-1L31,63.928z">
<aapt:attr name="android:fillColor">
<gradient
android:endX="85.84757"
android:endY="92.4963"
android:startX="42.9492"
android:startY="49.59793"
android:type="linear">
<item
android:color="#44000000"
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<item
android:color="#00000000"
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</gradient>
</aapt:attr>
</path>
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View File

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<?xml version="1.0" encoding="utf-8"?>
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android:width="108dp"
android:height="108dp"
android:viewportWidth="108"
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View File

@ -0,0 +1,57 @@
<?xml version="1.0" encoding="utf-8"?>
<LinearLayout xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:app="http://schemas.android.com/apk/res-auto"
xmlns:tools="http://schemas.android.com/tools"
android:layout_width="match_parent"
android:layout_height="match_parent"
android:orientation="vertical"
tools:context=".MainActivity">
<LinearLayout
android:layout_width="match_parent"
android:layout_height="wrap_content">
<Button
android:id="@+id/systemInfoBtn"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:text="System Info" />
<Button
android:id="@+id/loadModelBtn"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:text="Load model" />
</LinearLayout>
<LinearLayout
android:layout_width="wrap_content"
android:layout_height="wrap_content">
<Button
android:id="@+id/transcriptSampleBtn"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:text="Transcribe sample" />
<Button
android:id="@+id/clearBtn"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:text="Clear" />
</LinearLayout>
<TextView
android:id="@+id/sample_text"
android:layout_width="match_parent"
android:layout_height="wrap_content"
android:text="Hello World!"
app:layout_constraintBottom_toBottomOf="parent"
app:layout_constraintLeft_toLeftOf="parent"
app:layout_constraintRight_toRightOf="parent"
app:layout_constraintTop_toTopOf="parent"
android:scrollbarAlwaysDrawHorizontalTrack="true"
android:maxLines="999"/>
</LinearLayout>

View File

@ -0,0 +1,5 @@
<?xml version="1.0" encoding="utf-8"?>
<adaptive-icon xmlns:android="http://schemas.android.com/apk/res/android">
<background android:drawable="@drawable/ic_launcher_background" />
<foreground android:drawable="@drawable/ic_launcher_foreground" />
</adaptive-icon>

View File

@ -0,0 +1,5 @@
<?xml version="1.0" encoding="utf-8"?>
<adaptive-icon xmlns:android="http://schemas.android.com/apk/res/android">
<background android:drawable="@drawable/ic_launcher_background" />
<foreground android:drawable="@drawable/ic_launcher_foreground" />
</adaptive-icon>

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@ -0,0 +1,16 @@
<resources xmlns:tools="http://schemas.android.com/tools">
<!-- Base application theme. -->
<style name="Theme.Whisperandroidjava" parent="Theme.MaterialComponents.DayNight.DarkActionBar">
<!-- Primary brand color. -->
<item name="colorPrimary">@color/purple_200</item>
<item name="colorPrimaryVariant">@color/purple_700</item>
<item name="colorOnPrimary">@color/black</item>
<!-- Secondary brand color. -->
<item name="colorSecondary">@color/teal_200</item>
<item name="colorSecondaryVariant">@color/teal_200</item>
<item name="colorOnSecondary">@color/black</item>
<!-- Status bar color. -->
<item name="android:statusBarColor" tools:targetApi="l">?attr/colorPrimaryVariant</item>
<!-- Customize your theme here. -->
</style>
</resources>

View File

@ -0,0 +1,10 @@
<?xml version="1.0" encoding="utf-8"?>
<resources>
<color name="purple_200">#FFBB86FC</color>
<color name="purple_500">#FF6200EE</color>
<color name="purple_700">#FF3700B3</color>
<color name="teal_200">#FF03DAC5</color>
<color name="teal_700">#FF018786</color>
<color name="black">#FF000000</color>
<color name="white">#FFFFFFFF</color>
</resources>

View File

@ -0,0 +1,3 @@
<resources>
<string name="app_name">whisper.android.java</string>
</resources>

View File

@ -0,0 +1,16 @@
<resources xmlns:tools="http://schemas.android.com/tools">
<!-- Base application theme. -->
<style name="Theme.Whisperandroidjava" parent="Theme.MaterialComponents.DayNight.DarkActionBar">
<!-- Primary brand color. -->
<item name="colorPrimary">@color/purple_500</item>
<item name="colorPrimaryVariant">@color/purple_700</item>
<item name="colorOnPrimary">@color/white</item>
<!-- Secondary brand color. -->
<item name="colorSecondary">@color/teal_200</item>
<item name="colorSecondaryVariant">@color/teal_700</item>
<item name="colorOnSecondary">@color/black</item>
<!-- Status bar color. -->
<item name="android:statusBarColor" tools:targetApi="l">?attr/colorPrimaryVariant</item>
<!-- Customize your theme here. -->
</style>
</resources>

View File

@ -0,0 +1,17 @@
package com.litongjava.whisper.android.java;
import org.junit.Test;
import static org.junit.Assert.*;
/**
* Example local unit test, which will execute on the development machine (host).
*
* @see <a href="http://d.android.com/tools/testing">Testing documentation</a>
*/
public class ExampleUnitTest {
@Test
public void addition_isCorrect() {
assertEquals(4, 2 + 2);
}
}

View File

@ -0,0 +1,24 @@
// Top-level build file where you can add configuration options common to all sub-projects/modules.
buildscript {
repositories {
google()
jcenter()
}
dependencies {
classpath "com.android.tools.build:gradle:4.1.3"
// NOTE: Do not place your application dependencies here; they belong
// in the individual module build.gradle files
}
}
allprojects {
repositories {
google()
jcenter()
}
}
task clean(type: Delete) {
delete rootProject.buildDir
}

View File

@ -0,0 +1,19 @@
# Project-wide Gradle settings.
# IDE (e.g. Android Studio) users:
# Gradle settings configured through the IDE *will override*
# any settings specified in this file.
# For more details on how to configure your build environment visit
# http://www.gradle.org/docs/current/userguide/build_environment.html
# Specifies the JVM arguments used for the daemon process.
# The setting is particularly useful for tweaking memory settings.
org.gradle.jvmargs=-Xmx2048m -Dfile.encoding=UTF-8
# When configured, Gradle will run in incubating parallel mode.
# This option should only be used with decoupled projects. More details, visit
# http://www.gradle.org/docs/current/userguide/multi_project_builds.html#sec:decoupled_projects
# org.gradle.parallel=true
# AndroidX package structure to make it clearer which packages are bundled with the
# Android operating system, and which are packaged with your app"s APK
# https://developer.android.com/topic/libraries/support-library/androidx-rn
android.useAndroidX=true
# Automatically convert third-party libraries to use AndroidX
android.enableJetifier=true

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View File

@ -0,0 +1,6 @@
#Fri Oct 20 11:07:15 HST 2023
distributionBase=GRADLE_USER_HOME
distributionPath=wrapper/dists
zipStoreBase=GRADLE_USER_HOME
zipStorePath=wrapper/dists
distributionUrl=https\://services.gradle.org/distributions/gradle-6.5-all.zip

172
examples/whisper.android.java/gradlew vendored Normal file
View File

@ -0,0 +1,172 @@
#!/usr/bin/env sh
##############################################################################
##
## Gradle start up script for UN*X
##
##############################################################################
# Attempt to set APP_HOME
# Resolve links: $0 may be a link
PRG="$0"
# Need this for relative symlinks.
while [ -h "$PRG" ] ; do
ls=`ls -ld "$PRG"`
link=`expr "$ls" : '.*-> \(.*\)$'`
if expr "$link" : '/.*' > /dev/null; then
PRG="$link"
else
PRG=`dirname "$PRG"`"/$link"
fi
done
SAVED="`pwd`"
cd "`dirname \"$PRG\"`/" >/dev/null
APP_HOME="`pwd -P`"
cd "$SAVED" >/dev/null
APP_NAME="Gradle"
APP_BASE_NAME=`basename "$0"`
# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
DEFAULT_JVM_OPTS=""
# Use the maximum available, or set MAX_FD != -1 to use that value.
MAX_FD="maximum"
warn () {
echo "$*"
}
die () {
echo
echo "$*"
echo
exit 1
}
# OS specific support (must be 'true' or 'false').
cygwin=false
msys=false
darwin=false
nonstop=false
case "`uname`" in
CYGWIN* )
cygwin=true
;;
Darwin* )
darwin=true
;;
MINGW* )
msys=true
;;
NONSTOP* )
nonstop=true
;;
esac
CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar
# Determine the Java command to use to start the JVM.
if [ -n "$JAVA_HOME" ] ; then
if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
# IBM's JDK on AIX uses strange locations for the executables
JAVACMD="$JAVA_HOME/jre/sh/java"
else
JAVACMD="$JAVA_HOME/bin/java"
fi
if [ ! -x "$JAVACMD" ] ; then
die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME
Please set the JAVA_HOME variable in your environment to match the
location of your Java installation."
fi
else
JAVACMD="java"
which java >/dev/null 2>&1 || die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
Please set the JAVA_HOME variable in your environment to match the
location of your Java installation."
fi
# Increase the maximum file descriptors if we can.
if [ "$cygwin" = "false" -a "$darwin" = "false" -a "$nonstop" = "false" ] ; then
MAX_FD_LIMIT=`ulimit -H -n`
if [ $? -eq 0 ] ; then
if [ "$MAX_FD" = "maximum" -o "$MAX_FD" = "max" ] ; then
MAX_FD="$MAX_FD_LIMIT"
fi
ulimit -n $MAX_FD
if [ $? -ne 0 ] ; then
warn "Could not set maximum file descriptor limit: $MAX_FD"
fi
else
warn "Could not query maximum file descriptor limit: $MAX_FD_LIMIT"
fi
fi
# For Darwin, add options to specify how the application appears in the dock
if $darwin; then
GRADLE_OPTS="$GRADLE_OPTS \"-Xdock:name=$APP_NAME\" \"-Xdock:icon=$APP_HOME/media/gradle.icns\""
fi
# For Cygwin, switch paths to Windows format before running java
if $cygwin ; then
APP_HOME=`cygpath --path --mixed "$APP_HOME"`
CLASSPATH=`cygpath --path --mixed "$CLASSPATH"`
JAVACMD=`cygpath --unix "$JAVACMD"`
# We build the pattern for arguments to be converted via cygpath
ROOTDIRSRAW=`find -L / -maxdepth 1 -mindepth 1 -type d 2>/dev/null`
SEP=""
for dir in $ROOTDIRSRAW ; do
ROOTDIRS="$ROOTDIRS$SEP$dir"
SEP="|"
done
OURCYGPATTERN="(^($ROOTDIRS))"
# Add a user-defined pattern to the cygpath arguments
if [ "$GRADLE_CYGPATTERN" != "" ] ; then
OURCYGPATTERN="$OURCYGPATTERN|($GRADLE_CYGPATTERN)"
fi
# Now convert the arguments - kludge to limit ourselves to /bin/sh
i=0
for arg in "$@" ; do
CHECK=`echo "$arg"|egrep -c "$OURCYGPATTERN" -`
CHECK2=`echo "$arg"|egrep -c "^-"` ### Determine if an option
if [ $CHECK -ne 0 ] && [ $CHECK2 -eq 0 ] ; then ### Added a condition
eval `echo args$i`=`cygpath --path --ignore --mixed "$arg"`
else
eval `echo args$i`="\"$arg\""
fi
i=$((i+1))
done
case $i in
(0) set -- ;;
(1) set -- "$args0" ;;
(2) set -- "$args0" "$args1" ;;
(3) set -- "$args0" "$args1" "$args2" ;;
(4) set -- "$args0" "$args1" "$args2" "$args3" ;;
(5) set -- "$args0" "$args1" "$args2" "$args3" "$args4" ;;
(6) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" ;;
(7) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" ;;
(8) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" ;;
(9) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" "$args8" ;;
esac
fi
# Escape application args
save () {
for i do printf %s\\n "$i" | sed "s/'/'\\\\''/g;1s/^/'/;\$s/\$/' \\\\/" ; done
echo " "
}
APP_ARGS=$(save "$@")
# Collect all arguments for the java command, following the shell quoting and substitution rules
eval set -- $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS "\"-Dorg.gradle.appname=$APP_BASE_NAME\"" -classpath "\"$CLASSPATH\"" org.gradle.wrapper.GradleWrapperMain "$APP_ARGS"
# by default we should be in the correct project dir, but when run from Finder on Mac, the cwd is wrong
if [ "$(uname)" = "Darwin" ] && [ "$HOME" = "$PWD" ]; then
cd "$(dirname "$0")"
fi
exec "$JAVACMD" "$@"

View File

@ -0,0 +1,84 @@
@if "%DEBUG%" == "" @echo off
@rem ##########################################################################
@rem
@rem Gradle startup script for Windows
@rem
@rem ##########################################################################
@rem Set local scope for the variables with windows NT shell
if "%OS%"=="Windows_NT" setlocal
set DIRNAME=%~dp0
if "%DIRNAME%" == "" set DIRNAME=.
set APP_BASE_NAME=%~n0
set APP_HOME=%DIRNAME%
@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
set DEFAULT_JVM_OPTS=
@rem Find java.exe
if defined JAVA_HOME goto findJavaFromJavaHome
set JAVA_EXE=java.exe
%JAVA_EXE% -version >NUL 2>&1
if "%ERRORLEVEL%" == "0" goto init
echo.
echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
echo.
echo Please set the JAVA_HOME variable in your environment to match the
echo location of your Java installation.
goto fail
:findJavaFromJavaHome
set JAVA_HOME=%JAVA_HOME:"=%
set JAVA_EXE=%JAVA_HOME%/bin/java.exe
if exist "%JAVA_EXE%" goto init
echo.
echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME%
echo.
echo Please set the JAVA_HOME variable in your environment to match the
echo location of your Java installation.
goto fail
:init
@rem Get command-line arguments, handling Windows variants
if not "%OS%" == "Windows_NT" goto win9xME_args
:win9xME_args
@rem Slurp the command line arguments.
set CMD_LINE_ARGS=
set _SKIP=2
:win9xME_args_slurp
if "x%~1" == "x" goto execute
set CMD_LINE_ARGS=%*
:execute
@rem Setup the command line
set CLASSPATH=%APP_HOME%\gradle\wrapper\gradle-wrapper.jar
@rem Execute Gradle
"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" org.gradle.wrapper.GradleWrapperMain %CMD_LINE_ARGS%
:end
@rem End local scope for the variables with windows NT shell
if "%ERRORLEVEL%"=="0" goto mainEnd
:fail
rem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of
rem the _cmd.exe /c_ return code!
if not "" == "%GRADLE_EXIT_CONSOLE%" exit 1
exit /b 1
:mainEnd
if "%OS%"=="Windows_NT" endlocal
:omega

View File

@ -0,0 +1,2 @@
include ':app'
rootProject.name = "whisper.android.java"

View File

@ -4,6 +4,7 @@
<component name="GradleSettings">
<option name="linkedExternalProjectsSettings">
<GradleProjectSettings>
<option name="testRunner" value="GRADLE" />
<option name="externalProjectPath" value="$PROJECT_DIR$" />
<option name="gradleJvm" value="#GRADLE_LOCAL_JAVA_HOME" />
<option name="modules">
@ -13,6 +14,7 @@
</set>
</option>
<option name="resolveExternalAnnotations" value="false" />
<option name="resolveModulePerSourceSet" value="false" />
</GradleProjectSettings>
</option>
</component>

View File

@ -1,4 +1,5 @@
import Foundation
import whisper
enum WhisperError: Error {
case couldNotInitializeContext

View File

@ -1,4 +0,0 @@
//
// Use this file to import your target's public headers that you would like to expose to Swift.
//
#import "whisper.h"

View File

@ -15,16 +15,9 @@
0AAC5D9B29539CCF003032C3 /* WhisperCppDemoApp.swift in Sources */ = {isa = PBXBuildFile; fileRef = 0AAC5D9A29539CCF003032C3 /* WhisperCppDemoApp.swift */; };
0AAC5D9D29539CCF003032C3 /* ContentView.swift in Sources */ = {isa = PBXBuildFile; fileRef = 0AAC5D9C29539CCF003032C3 /* ContentView.swift */; };
0AAC5D9F29539CD0003032C3 /* Assets.xcassets in Resources */ = {isa = PBXBuildFile; fileRef = 0AAC5D9E29539CD0003032C3 /* Assets.xcassets */; };
0AAC5DA329539CD0003032C3 /* Preview Assets.xcassets in Resources */ = {isa = PBXBuildFile; fileRef = 0AAC5DA229539CD0003032C3 /* Preview Assets.xcassets */; };
0AAC5DCB29539EB1003032C3 /* whisper.cpp in Sources */ = {isa = PBXBuildFile; fileRef = 0AAC5DC729539EB0003032C3 /* whisper.cpp */; settings = {COMPILER_FLAGS = "-DGGML_USE_METAL -Wno-shorten-64-to-32"; }; };
0AAC5DCC29539EB1003032C3 /* ggml.c in Sources */ = {isa = PBXBuildFile; fileRef = 0AAC5DC929539EB0003032C3 /* ggml.c */; settings = {COMPILER_FLAGS = "-DGGML_USE_ACCELERATE -DGGML_USE_METAL -Wno-shorten-64-to-32"; }; };
0AAC5DCE2953A05C003032C3 /* WhisperState.swift in Sources */ = {isa = PBXBuildFile; fileRef = 0AAC5DCD2953A05C003032C3 /* WhisperState.swift */; };
0AAC5DD12953A394003032C3 /* LibWhisper.swift in Sources */ = {isa = PBXBuildFile; fileRef = 0AAC5DD02953A394003032C3 /* LibWhisper.swift */; };
18ABE1522AF555FA0044A204 /* ggml-backend.c in Sources */ = {isa = PBXBuildFile; fileRef = 18ABE14C2AF555FA0044A204 /* ggml-backend.c */; };
18ABE1532AF555FA0044A204 /* ggml-quants.c in Sources */ = {isa = PBXBuildFile; fileRef = 18ABE1512AF555FA0044A204 /* ggml-quants.c */; };
18AED4812AB21F2B009D854F /* ggml-alloc.c in Sources */ = {isa = PBXBuildFile; fileRef = 18AED47F2AB21F2B009D854F /* ggml-alloc.c */; };
7FCB08262ACFA3A400AF3530 /* ggml-metal.m in Sources */ = {isa = PBXBuildFile; fileRef = 7FCB08252ACFA3A400AF3530 /* ggml-metal.m */; settings = {COMPILER_FLAGS = "-framework Foundation -framework Metal -framework MetalKit -fno-objc-arc"; }; };
7FCB08282ACFA48500AF3530 /* ggml-metal.metal in Sources */ = {isa = PBXBuildFile; fileRef = 7FCB08272ACFA48500AF3530 /* ggml-metal.metal */; };
E3F92DC52AFA8E3800A6A9D4 /* whisper in Frameworks */ = {isa = PBXBuildFile; productRef = E3F92DC42AFA8E3800A6A9D4 /* whisper */; };
/* End PBXBuildFile section */
/* Begin PBXFileReference section */
@ -38,25 +31,9 @@
0AAC5D9C29539CCF003032C3 /* ContentView.swift */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.swift; path = ContentView.swift; sourceTree = "<group>"; };
0AAC5D9E29539CD0003032C3 /* Assets.xcassets */ = {isa = PBXFileReference; lastKnownFileType = folder.assetcatalog; path = Assets.xcassets; sourceTree = "<group>"; };
0AAC5DA029539CD0003032C3 /* WhisperCppDemo.entitlements */ = {isa = PBXFileReference; lastKnownFileType = text.plist.entitlements; path = WhisperCppDemo.entitlements; sourceTree = "<group>"; };
0AAC5DA229539CD0003032C3 /* Preview Assets.xcassets */ = {isa = PBXFileReference; lastKnownFileType = folder.assetcatalog; path = "Preview Assets.xcassets"; sourceTree = "<group>"; };
0AAC5DC629539EAF003032C3 /* WhisperCppDemo-Bridging-Header.h */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.c.h; path = "WhisperCppDemo-Bridging-Header.h"; sourceTree = "<group>"; };
0AAC5DC729539EB0003032C3 /* whisper.cpp */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.cpp.cpp; path = whisper.cpp; sourceTree = "<group>"; };
0AAC5DC829539EB0003032C3 /* whisper.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; path = whisper.h; sourceTree = "<group>"; };
0AAC5DC929539EB0003032C3 /* ggml.c */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.c; path = ggml.c; sourceTree = "<group>"; };
0AAC5DCA29539EB0003032C3 /* ggml.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; path = ggml.h; sourceTree = "<group>"; };
0AAC5DCD2953A05C003032C3 /* WhisperState.swift */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.swift; path = WhisperState.swift; sourceTree = "<group>"; };
0AAC5DD02953A394003032C3 /* LibWhisper.swift */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.swift; path = LibWhisper.swift; sourceTree = "<group>"; };
18ABE14C2AF555FA0044A204 /* ggml-backend.c */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.c; path = "ggml-backend.c"; sourceTree = "<group>"; };
18ABE14D2AF555FA0044A204 /* ggml-backend.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; path = "ggml-backend.h"; sourceTree = "<group>"; };
18ABE14E2AF555FA0044A204 /* ggml-backend-impl.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; path = "ggml-backend-impl.h"; sourceTree = "<group>"; };
18ABE14F2AF555FA0044A204 /* ggml-quants.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; path = "ggml-quants.h"; sourceTree = "<group>"; };
18ABE1502AF555FA0044A204 /* ggml-impl.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; path = "ggml-impl.h"; sourceTree = "<group>"; };
18ABE1512AF555FA0044A204 /* ggml-quants.c */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.c; path = "ggml-quants.c"; sourceTree = "<group>"; };
18AED47F2AB21F2B009D854F /* ggml-alloc.c */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.c; path = "ggml-alloc.c"; sourceTree = "<group>"; };
18AED4802AB21F2B009D854F /* ggml-alloc.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; path = "ggml-alloc.h"; sourceTree = "<group>"; };
7FCB081E2ACFA04400AF3530 /* ggml-metal.h */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.h; path = "ggml-metal.h"; sourceTree = "<group>"; };
7FCB08252ACFA3A400AF3530 /* ggml-metal.m */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.c.objc; path = "ggml-metal.m"; sourceTree = "<group>"; };
7FCB08272ACFA48500AF3530 /* ggml-metal.metal */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.metal; path = "ggml-metal.metal"; sourceTree = "<group>"; };
E3F92DC22AFA8DD800A6A9D4 /* whisper.cpp */ = {isa = PBXFileReference; lastKnownFileType = wrapper; name = whisper.cpp; path = ../..; sourceTree = "<group>"; };
/* End PBXFileReference section */
/* Begin PBXFrameworksBuildPhase section */
@ -64,6 +41,7 @@
isa = PBXFrameworksBuildPhase;
buildActionMask = 2147483647;
files = (
E3F92DC52AFA8E3800A6A9D4 /* whisper in Frameworks */,
);
runOnlyForDeploymentPostprocessing = 0;
};
@ -99,11 +77,12 @@
0AAC5D8E29539CCF003032C3 = {
isa = PBXGroup;
children = (
E3F92DC22AFA8DD800A6A9D4 /* whisper.cpp */,
0A8E48FF2954B3F100704C1B /* README.md */,
0AAC5DC529539E89003032C3 /* whisper.cpp */,
0AAC5DCF2953A36C003032C3 /* whisper.cpp.swift */,
0AAC5D9929539CCF003032C3 /* whisper.swiftui.demo */,
0AAC5D9829539CCF003032C3 /* Products */,
E3F92DC32AFA8E3800A6A9D4 /* Frameworks */,
);
sourceTree = "<group>";
};
@ -128,42 +107,9 @@
path = whisper.swiftui.demo;
sourceTree = "<group>";
};
0AAC5DA129539CD0003032C3 /* Preview Content */ = {
isa = PBXGroup;
children = (
0AAC5DA229539CD0003032C3 /* Preview Assets.xcassets */,
);
name = "Preview Content";
path = "../Preview Content";
sourceTree = "<group>";
};
0AAC5DC529539E89003032C3 /* whisper.cpp */ = {
isa = PBXGroup;
children = (
7FCB08272ACFA48500AF3530 /* ggml-metal.metal */,
7FCB081E2ACFA04400AF3530 /* ggml-metal.h */,
7FCB08252ACFA3A400AF3530 /* ggml-metal.m */,
18ABE14E2AF555FA0044A204 /* ggml-backend-impl.h */,
18ABE14C2AF555FA0044A204 /* ggml-backend.c */,
18ABE14D2AF555FA0044A204 /* ggml-backend.h */,
18ABE1502AF555FA0044A204 /* ggml-impl.h */,
18ABE1512AF555FA0044A204 /* ggml-quants.c */,
18ABE14F2AF555FA0044A204 /* ggml-quants.h */,
18AED47F2AB21F2B009D854F /* ggml-alloc.c */,
18AED4802AB21F2B009D854F /* ggml-alloc.h */,
0AAC5DC929539EB0003032C3 /* ggml.c */,
0AAC5DCA29539EB0003032C3 /* ggml.h */,
0AAC5DC729539EB0003032C3 /* whisper.cpp */,
0AAC5DC829539EB0003032C3 /* whisper.h */,
);
name = whisper.cpp;
path = ../..;
sourceTree = "<group>";
};
0AAC5DCF2953A36C003032C3 /* whisper.cpp.swift */ = {
isa = PBXGroup;
children = (
0AAC5DC629539EAF003032C3 /* WhisperCppDemo-Bridging-Header.h */,
0AAC5DD02953A394003032C3 /* LibWhisper.swift */,
);
path = whisper.cpp.swift;
@ -182,11 +128,17 @@
children = (
0AAC5D9E29539CD0003032C3 /* Assets.xcassets */,
0AAC5DA029539CD0003032C3 /* WhisperCppDemo.entitlements */,
0AAC5DA129539CD0003032C3 /* Preview Content */,
);
path = "Supporting files";
sourceTree = "<group>";
};
E3F92DC32AFA8E3800A6A9D4 /* Frameworks */ = {
isa = PBXGroup;
children = (
);
name = Frameworks;
sourceTree = "<group>";
};
/* End PBXGroup section */
/* Begin PBXNativeTarget section */
@ -203,6 +155,9 @@
dependencies = (
);
name = whisper.swiftui;
packageProductDependencies = (
E3F92DC42AFA8E3800A6A9D4 /* whisper */,
);
productName = WhisperCppDemo;
productReference = 0AAC5D9729539CCF003032C3 /* whisper.swiftui.app */;
productType = "com.apple.product-type.application";
@ -247,7 +202,6 @@
buildActionMask = 2147483647;
files = (
0AA751482953AC2E001EE061 /* samples in Resources */,
0AAC5DA329539CD0003032C3 /* Preview Assets.xcassets in Resources */,
0A8E49002954B3F100704C1B /* README.md in Resources */,
0AA751492953AC2E001EE061 /* models in Resources */,
0AAC5D9F29539CD0003032C3 /* Assets.xcassets in Resources */,
@ -263,17 +217,10 @@
files = (
0AAC5D9D29539CCF003032C3 /* ContentView.swift in Sources */,
0AAC5D9B29539CCF003032C3 /* WhisperCppDemoApp.swift in Sources */,
0AAC5DCC29539EB1003032C3 /* ggml.c in Sources */,
18ABE1532AF555FA0044A204 /* ggml-quants.c in Sources */,
0AAC5DCE2953A05C003032C3 /* WhisperState.swift in Sources */,
7FCB08282ACFA48500AF3530 /* ggml-metal.metal in Sources */,
0AAC5DD12953A394003032C3 /* LibWhisper.swift in Sources */,
0AA7514C2953B569001EE061 /* RiffWaveUtils.swift in Sources */,
0AAC5DCB29539EB1003032C3 /* whisper.cpp in Sources */,
0AA7514E2953D958001EE061 /* Recorder.swift in Sources */,
7FCB08262ACFA3A400AF3530 /* ggml-metal.m in Sources */,
18AED4812AB21F2B009D854F /* ggml-alloc.c in Sources */,
18ABE1522AF555FA0044A204 /* ggml-backend.c in Sources */,
);
runOnlyForDeploymentPostprocessing = 0;
};
@ -401,7 +348,7 @@
CODE_SIGN_STYLE = Automatic;
CURRENT_PROJECT_VERSION = 1;
DEVELOPMENT_ASSET_PATHS = "\"whisper.swiftui.demo/Supporting files/Preview Content\"";
DEVELOPMENT_TEAM = P8JZH34X63;
DEVELOPMENT_TEAM = "";
ENABLE_HARDENED_RUNTIME = YES;
ENABLE_PREVIEWS = YES;
GENERATE_INFOPLIST_FILE = YES;
@ -425,7 +372,6 @@
SDKROOT = auto;
SUPPORTED_PLATFORMS = "iphoneos iphonesimulator macosx";
SWIFT_EMIT_LOC_STRINGS = YES;
SWIFT_OBJC_BRIDGING_HEADER = "whisper.cpp.swift/WhisperCppDemo-Bridging-Header.h";
SWIFT_OPTIMIZATION_LEVEL = "-Onone";
SWIFT_VERSION = 5.0;
TARGETED_DEVICE_FAMILY = "1,2";
@ -442,7 +388,7 @@
CODE_SIGN_STYLE = Automatic;
CURRENT_PROJECT_VERSION = 1;
DEVELOPMENT_ASSET_PATHS = "\"whisper.swiftui.demo/Supporting files/Preview Content\"";
DEVELOPMENT_TEAM = P8JZH34X63;
DEVELOPMENT_TEAM = "";
ENABLE_HARDENED_RUNTIME = YES;
ENABLE_PREVIEWS = YES;
GENERATE_INFOPLIST_FILE = YES;
@ -471,7 +417,6 @@
SDKROOT = auto;
SUPPORTED_PLATFORMS = "iphoneos iphonesimulator macosx";
SWIFT_EMIT_LOC_STRINGS = YES;
SWIFT_OBJC_BRIDGING_HEADER = "whisper.cpp.swift/WhisperCppDemo-Bridging-Header.h";
SWIFT_VERSION = 5.0;
TARGETED_DEVICE_FAMILY = "1,2";
};
@ -499,6 +444,13 @@
defaultConfigurationName = Release;
};
/* End XCConfigurationList section */
/* Begin XCSwiftPackageProductDependency section */
E3F92DC42AFA8E3800A6A9D4 /* whisper */ = {
isa = XCSwiftPackageProductDependency;
productName = whisper;
};
/* End XCSwiftPackageProductDependency section */
};
rootObject = 0AAC5D8F29539CCF003032C3 /* Project object */;
}

View File

@ -18,11 +18,11 @@ else
fi
models=( \
"tiny" "tiny-q5_0" "tiny-q5_1" "tiny-q8_0" \
"base" "base-q5_0" "base-q5_1" "base-q8_0" \
"small" "small-q5_0" "small-q5_1" "small-q8_0" \
"medium" "medium-q5_0" "medium-q5_1" "medium-q8_0" \
"large" "large-q5_0" "large-q5_1" "large-q8_0" \
"tiny" "tiny-q4_0" "tiny-q4_1" "tiny-q5_0" "tiny-q5_1" "tiny-q8_0" \
"base" "base-q4_0" "base-q4_1" "base-q5_0" "base-q5_1" "base-q8_0" \
"small" "small-q4_0" "small-q4_1" "small-q5_0" "small-q5_1" "small-q8_0" \
"medium" "medium-q4_0" "medium-q4_1" "medium-q5_0" "medium-q5_1" "medium-q8_0" \
"large" "large-q4_0" "large-q4_1" "large-q5_0" "large-q5_1" "large-q8_0" \
)
if [ "$encoder_only" -eq 0 ]; then
@ -44,8 +44,8 @@ if [ "$encoder_only" -eq 0 ]; then
printf "\n"
fi
printf "| %6s | %6s | %16s | %11s | %3s | %7s | %7s | %7s | %7s |\n" "CPU" "OS" "Config" "Model" "Th" "Enc." "Dec." "PP" "Commit"
printf "| %6s | %6s | %16s | %11s | %3s | %7s | %7s | %7s | %7s |\n" "---" "---" "---" "---" "---" "---" "---" "---" "---"
printf "| %6s | %6s | %16s | %11s | %3s | %7s | %7s | %7s | %7s | %7s |\n" "CPU" "OS" "Config" "Model" "Th" "Enc." "Dec." "Bch5" "PP" "Commit"
printf "| %6s | %6s | %16s | %11s | %3s | %7s | %7s | %7s | %7s | %7s |\n" "---" "---" "---" "---" "---" "---" "---" "---" "---" "---"
for model in "${models[@]}"; do
# actual run
@ -56,6 +56,7 @@ for model in "${models[@]}"; do
# parse the output:
encode_time=$(echo "$output" | grep "encode time" | awk '{print $11}')
decode_time=$(echo "$output" | grep "decode time" | awk '{print $11}')
batchd_time=$(echo "$output" | grep "batchd time" | awk '{print $11}')
prompt_time=$(echo "$output" | grep "prompt time" | awk '{print $11}')
system_info=$(echo "$output" | grep "system_info")
n_threads=$(echo "$output" | grep "system_info" | awk '{print $4}')
@ -83,6 +84,10 @@ for model in "${models[@]}"; do
config="$config COREML"
fi
if [[ $system_info == *"CUDA = 1"* ]]; then
config="$config CUDA"
fi
if [[ $system_info == *"METAL = 1"* ]]; then
config="$config METAL"
fi
@ -90,6 +95,6 @@ for model in "${models[@]}"; do
commit=$(git rev-parse --short HEAD)
if [ $ret -eq 0 ]; then
printf "| <todo> | <todo> | %16s | %11s | %3s | %7s | %7s | %7s | %7s |\n" "$config" "$model" "$n_threads" "$encode_time" "$decode_time" "$prompt_time" "$commit"
printf "| <todo> | <todo> | %16s | %11s | %3s | %7s | %7s | %7s | %7s | %7s |\n" "$config" "$model" "$n_threads" "$encode_time" "$decode_time" "$batchd_time" "$prompt_time" "$commit"
fi
done

View File

@ -15,33 +15,13 @@ declare -a filedex
cd `dirname $0`
cd ../
# Let's loop across all the objects in the 'models' dir:
for i in ./models/*; do
# Check to see if it's a file or directory
if [ -d "$i" ]; then
# It's a directory! We should make sure it's not empty first:
if [ "$(ls -A $i)" ]; then
# Passed! Let's go searching for bin files (shouldn't need to go more than a layer deep here)
for f in "$i"/*.bin; do
# [Neuron Activation]
newfile=`echo "${f##*/}" | cut -d _ -f 1`;
if [ "$newfile" != "q5" ]; then
./quantize "${f}" "${i:-4}/${i:9:${#i}-4}-${qtype1}.bin" ${qtype1};
./quantize "${f}" "${i:-4}/${i:9:${#i}-4}-${qtype0}.bin" ${qtype0};
filedex+=( "${i:-4}/${i:9:${#i}-4}-${qtype1}.bin" "${i:-4}/${i:9:${#i}-4}-${qtype0}.bin" )
fi
done
fi
else
# It's a file! Let's make sure it's the right type:
if [ "${i##*.}" == "bin" ]; then
# And we probably want to skip the testing files
if [ "${i:9:8}" != "for-test" ]; then
# [Neuron Activation]
./quantize "${i}" "${i:-4}-${qtype1}.bin" ${qtype1};
./quantize "${i}" "${i:-4}-${qtype0}.bin" ${qtype0};
filedex+=( "${i:-4}-${qtype1}.bin" "${i:-4}-${qtype0}.bin" )
fi
for i in `ls ./models | grep ^ggml-.*.bin | grep -v "\-q"`; do
m="models/$i"
if [ -f "$m" ]; then
if [ "${m##*.}" == "bin" ]; then
./quantize "${m}" "${m::${#m}-4}-${qtype1}.bin" ${qtype1};
./quantize "${m}" "${m::${#m}-4}-${qtype0}.bin" ${qtype0};
filedex+=( "${m::${#m}-4}-${qtype1}.bin" "${m::${#m}-4}-${qtype0}.bin" )
fi
fi
done

View File

@ -39,7 +39,6 @@
#define cudaDeviceCanAccessPeer hipDeviceCanAccessPeer
#define cudaDeviceDisablePeerAccess hipDeviceDisablePeerAccess
#define cudaDeviceEnablePeerAccess hipDeviceEnablePeerAccess
#define cudaDeviceGetMemPool hipDeviceGetMemPool
#define cudaDeviceProp hipDeviceProp_t
#define cudaDeviceSynchronize hipDeviceSynchronize
#define cudaError_t hipError_t
@ -49,7 +48,6 @@
#define cudaEvent_t hipEvent_t
#define cudaEventDestroy hipEventDestroy
#define cudaFree hipFree
#define cudaFreeAsync hipFreeAsync
#define cudaFreeHost hipHostFree
#define cudaGetDevice hipGetDevice
#define cudaGetDeviceCount hipGetDeviceCount
@ -57,7 +55,6 @@
#define cudaGetErrorString hipGetErrorString
#define cudaGetLastError hipGetLastError
#define cudaMalloc hipMalloc
#define cudaMallocFromPoolAsync hipMallocFromPoolAsync
#define cudaMallocHost(ptr, size) hipHostMalloc(ptr, size, hipHostMallocDefault)
#define cudaMemcpy hipMemcpy
#define cudaMemcpy2DAsync hipMemcpy2DAsync
@ -66,9 +63,6 @@
#define cudaMemcpyDeviceToHost hipMemcpyDeviceToHost
#define cudaMemcpyHostToDevice hipMemcpyHostToDevice
#define cudaMemcpyKind hipMemcpyKind
#define cudaMemPool_t hipMemPool_t
#define cudaMemPoolAttrReleaseThreshold hipMemPoolAttrReleaseThreshold
#define cudaMemPoolSetAttribute hipMemPoolSetAttribute
#define cudaMemset hipMemset
#define cudaMemsetAsync hipMemsetAsync
#define cudaOccupancyMaxPotentialBlockSize hipOccupancyMaxPotentialBlockSize
@ -94,6 +88,8 @@
#define CC_OFFSET_AMD 1000000
#define CC_RDNA2 (CC_OFFSET_AMD + 1030)
#define GGML_CUDA_MAX_NODES 8192
// define this if you want to always fallback to MMQ kernels and not use cuBLAS for matrix multiplication
// on modern hardware, using cuBLAS is recommended as it utilizes F16 tensor cores which are very performant
// for large computational tasks. the drawback is that this requires some extra amount of VRAM:
@ -188,11 +184,11 @@ static_assert(sizeof(half) == sizeof(ggml_fp16_t), "wrong fp16 size");
do { \
cudaError_t err_ = (err); \
if (err_ != cudaSuccess) { \
int dev_id; \
cudaGetDevice(&dev_id); \
int id; \
cudaGetDevice(&id); \
fprintf(stderr, "\nCUDA error %d at %s:%d: %s\n", err_, __FILE__, __LINE__, \
cudaGetErrorString(err_)); \
fprintf(stderr, "current device: %d\n", dev_id); \
fprintf(stderr, "current device: %d\n", id); \
exit(1); \
} \
} while (0)
@ -202,11 +198,11 @@ static_assert(sizeof(half) == sizeof(ggml_fp16_t), "wrong fp16 size");
do { \
cublasStatus_t err_ = (err); \
if (err_ != CUBLAS_STATUS_SUCCESS) { \
int dev_id; \
cudaGetDevice(&dev_id); \
int id; \
cudaGetDevice(&id); \
fprintf(stderr, "\ncuBLAS error %d at %s:%d: %s\n", \
err_, __FILE__, __LINE__, cublasGetStatusString(err_)); \
fprintf(stderr, "current device: %d\n", dev_id); \
fprintf(stderr, "current device: %d\n", id); \
exit(1); \
} \
} while (0)
@ -440,6 +436,8 @@ static_assert(sizeof(block_q6_K) == sizeof(ggml_fp16_t) + 13*QK_K/16, "wrong q6_
#define CUDA_MUL_BLOCK_SIZE 256
#define CUDA_GELU_BLOCK_SIZE 256
#define CUDA_SILU_BLOCK_SIZE 256
#define CUDA_RELU_BLOCK_SIZE 256
#define CUDA_SQR_BLOCK_SIZE 256
#define CUDA_CPY_BLOCK_SIZE 32
#define CUDA_SCALE_BLOCK_SIZE 256
#define CUDA_CLAMP_BLOCK_SIZE 256
@ -472,7 +470,6 @@ static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUA
#define MAX_STREAMS 8
static cudaStream_t g_cudaStreams[GGML_CUDA_MAX_DEVICES][MAX_STREAMS] = { nullptr };
static cudaMemPool_t g_cudaMemPools[GGML_CUDA_MAX_DEVICES] = { nullptr };
struct ggml_tensor_extra_gpu {
void * data_device[GGML_CUDA_MAX_DEVICES]; // 1 pointer for each device for split tensors
@ -561,6 +558,24 @@ static __global__ void silu_f32(const float * x, float * dst, const int k) {
dst[i] = x[i] / (1.0f + expf(-x[i]));
}
static __global__ void relu_f32(const float * x, float * dst, const int k) {
const int i = blockDim.x*blockIdx.x + threadIdx.x;
if (i >= k) {
return;
}
dst[i] = fmaxf(x[i], 0);
}
static __global__ void sqr_f32(const float * x, float * dst, const int k) {
const int i = blockDim.x*blockIdx.x + threadIdx.x;
if (i >= k) {
return;
}
dst[i] = x[i] * x[i];
}
static __device__ __forceinline__ float2 warp_reduce_sum(float2 a) {
#pragma unroll
for (int mask = 16; mask > 0; mask >>= 1) {
@ -990,7 +1005,7 @@ static __global__ void dequantize_mul_mat_vec_q2_k(const void * __restrict__ vx,
static_assert(16%K_QUANTS_PER_ITERATION == 0, "16 must be divisible by K_QUANTS_PER_ITERATION");
const int row = blockIdx.y*blockDim.y + threadIdx.y;
const int row = blockIdx.x*blockDim.y + threadIdx.y;
if (row > nrows) return;
const int num_blocks_per_row = ncols / QK_K;
@ -1094,7 +1109,7 @@ static __global__ void dequantize_mul_mat_vec_q2_k(const void * __restrict__ vx,
static __global__ void dequantize_mul_mat_vec_q3_k(const void * __restrict__ vx, const float * __restrict__ yy, float * __restrict__ dst, const int ncols, int nrows) {
const int row = blockIdx.y*blockDim.y + threadIdx.y;
const int row = blockIdx.x*blockDim.y + threadIdx.y;
if (row > nrows) return;
const int num_blocks_per_row = ncols / QK_K;
@ -1198,7 +1213,7 @@ static __global__ void dequantize_mul_mat_vec_q3_k(const void * __restrict__ vx,
static __global__ void dequantize_mul_mat_vec_q4_k(const void * __restrict__ vx, const float * __restrict__ yy, float * __restrict__ dst, const int ncols, int nrows) {
const int row = blockIdx.y*blockDim.y + threadIdx.y;
const int row = blockIdx.x*blockDim.y + threadIdx.y;
if (row > nrows) return;
const int num_blocks_per_row = ncols / QK_K;
const int ib0 = row*num_blocks_per_row;
@ -1452,7 +1467,7 @@ static __global__ void dequantize_mul_mat_vec_q6_k(const void * __restrict__ vx,
static_assert(16%K_QUANTS_PER_ITERATION == 0, "16 must be divisible by K_QUANTS_PER_ITERATION");
const int row = blockIdx.y*blockDim.y + threadIdx.y;
const int row = blockIdx.x*blockDim.y + threadIdx.y;
if (row > nrows) return;
const int num_blocks_per_row = ncols / QK_K;
@ -4262,7 +4277,7 @@ template <bool need_check> static __global__ void
template <int qk, int qi, typename block_q_t, int vdr, vec_dot_q_cuda_t vec_dot_q_cuda>
static __global__ void mul_mat_vec_q(const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, const int ncols, const int nrows) {
const int row = blockIdx.y*blockDim.y + threadIdx.y;
const int row = blockIdx.x*blockDim.y + threadIdx.y;
if (row >= nrows) {
return;
@ -4302,7 +4317,7 @@ template <int qk, int qr, dequantize_kernel_t dequantize_kernel>
static __global__ void dequantize_mul_mat_vec(const void * __restrict__ vx, const dfloat * __restrict__ y, float * __restrict__ dst, const int ncols, const int nrows) {
// qk = quantized weights per x block
// qr = number of quantized weights per data value in x block
const int row = blockIdx.y*blockDim.y + threadIdx.y;
const int row = blockIdx.x*blockDim.y + threadIdx.y;
if (row >= nrows) {
return;
@ -4476,6 +4491,13 @@ static __device__ void cpy_1_f32_f16(const char * cxi, char * cdsti) {
*dsti = __float2half(*xi);
}
static __device__ void cpy_1_f16_f16(const char * cxi, char * cdsti) {
const half * xi = (const half *) cxi;
half * dsti = (half *) cdsti;
*dsti = *xi;
}
template <cpy_kernel_t cpy_1>
static __global__ void cpy_f32_f16(const char * cx, char * cdst, const int ne,
const int ne00, const int ne01, const int nb00, const int nb01, const int nb02,
@ -4729,6 +4751,25 @@ static __global__ void clamp_f32(const float * x, float * dst, const float min,
dst[i] = x[i] < min ? min : (x[i] > max ? max : x[i]);
}
static __global__ void im2col_f32_f16(
const float * x, half * dst,
int ofs0, int ofs1, int IW, int IH, int CHW,
int s0, int s1, int p0, int p1, int d0, int d1) {
const int iiw = blockIdx.z * s0 + threadIdx.z * d0 - p0;
const int iih = blockIdx.y * s1 + threadIdx.y * d1 - p1;
const int offset_dst =
(threadIdx.x * gridDim.y * gridDim.z + blockIdx.y * gridDim.z + blockIdx.z) * CHW +
(blockIdx.x * (blockDim.y * blockDim.z) + threadIdx.y * blockDim.z + threadIdx.z);
if (iih < 0 || iih >= IH || iiw < 0 || iiw >= IW) {
dst[offset_dst] = __float2half(0.0f);
} else {
const int offset_src = threadIdx.x * ofs0 + blockIdx.x * ofs1;
dst[offset_dst] = __float2half(x[offset_src + iih * IW + iiw]);
}
}
template<int qk, int qr, dequantize_kernel_t dq>
static void get_rows_cuda(const void * x, const int32_t * y, float * dst, const int nrows, const int ncols, cudaStream_t stream) {
const dim3 block_dims(CUDA_GET_ROWS_BLOCK_SIZE, 1, 1);
@ -4767,6 +4808,16 @@ static void silu_f32_cuda(const float * x, float * dst, const int k, cudaStream_
silu_f32<<<num_blocks, CUDA_SILU_BLOCK_SIZE, 0, stream>>>(x, dst, k);
}
static void relu_f32_cuda(const float * x, float * dst, const int k, cudaStream_t stream) {
const int num_blocks = (k + CUDA_RELU_BLOCK_SIZE - 1) / CUDA_RELU_BLOCK_SIZE;
relu_f32<<<num_blocks, CUDA_RELU_BLOCK_SIZE, 0, stream>>>(x, dst, k);
}
static void sqr_f32_cuda(const float * x, float * dst, const int k, cudaStream_t stream) {
const int num_blocks = (k + CUDA_SQR_BLOCK_SIZE - 1) / CUDA_SQR_BLOCK_SIZE;
sqr_f32<<<num_blocks, CUDA_SQR_BLOCK_SIZE, 0, stream>>>(x, dst, k);
}
static void norm_f32_cuda(const float * x, float * dst, const int ncols, const int nrows, cudaStream_t stream) {
GGML_ASSERT(ncols % WARP_SIZE == 0);
if (ncols < 1024) {
@ -4875,7 +4926,8 @@ static void dequantize_row_q6_K_cuda(const void * vx, dst_t * y, const int k, cu
static void dequantize_mul_mat_vec_q4_0_cuda(const void * vx, const dfloat * y, float * dst, const int ncols, const int nrows, cudaStream_t stream) {
GGML_ASSERT(ncols % GGML_CUDA_DMMV_X == 0);
const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
const dim3 block_nums(1, block_num_y, 1);
// the number of rows may exceed maximum grid size in the y or z dimensions, use the x dimension instead
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
dequantize_mul_mat_vec<QK4_0, QR4_0, dequantize_q4_0>
<<<block_nums, block_dims, 0, stream>>>(vx, y, dst, ncols, nrows);
@ -4884,7 +4936,7 @@ static void dequantize_mul_mat_vec_q4_0_cuda(const void * vx, const dfloat * y,
static void dequantize_mul_mat_vec_q4_1_cuda(const void * vx, const dfloat * y, float * dst, const int ncols, const int nrows, cudaStream_t stream) {
GGML_ASSERT(ncols % GGML_CUDA_DMMV_X == 0);
const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
dequantize_mul_mat_vec<QK4_1, QR4_1, dequantize_q4_1>
<<<block_nums, block_dims, 0, stream>>>(vx, y, dst, ncols, nrows);
@ -4893,7 +4945,7 @@ static void dequantize_mul_mat_vec_q4_1_cuda(const void * vx, const dfloat * y,
static void dequantize_mul_mat_vec_q5_0_cuda(const void * vx, const dfloat * y, float * dst, const int ncols, const int nrows, cudaStream_t stream) {
GGML_ASSERT(ncols % GGML_CUDA_DMMV_X == 0);
const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
dequantize_mul_mat_vec<QK5_0, QR5_0, dequantize_q5_0>
<<<block_nums, block_dims, 0, stream>>>(vx, y, dst, ncols, nrows);
@ -4902,7 +4954,7 @@ static void dequantize_mul_mat_vec_q5_0_cuda(const void * vx, const dfloat * y,
static void dequantize_mul_mat_vec_q5_1_cuda(const void * vx, const dfloat * y, float * dst, const int ncols, const int nrows, cudaStream_t stream) {
GGML_ASSERT(ncols % GGML_CUDA_DMMV_X == 0);
const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
dequantize_mul_mat_vec<QK5_1, QR5_1, dequantize_q5_1>
<<<block_nums, block_dims, 0, stream>>>(vx, y, dst, ncols, nrows);
@ -4911,7 +4963,7 @@ static void dequantize_mul_mat_vec_q5_1_cuda(const void * vx, const dfloat * y,
static void dequantize_mul_mat_vec_q8_0_cuda(const void * vx, const dfloat * y, float * dst, const int ncols, const int nrows, cudaStream_t stream) {
GGML_ASSERT(ncols % GGML_CUDA_DMMV_X == 0);
const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
dequantize_mul_mat_vec<QK8_0, QR8_0, dequantize_q8_0>
<<<block_nums, block_dims, 0, stream>>>(vx, y, dst, ncols, nrows);
@ -4921,7 +4973,7 @@ static void dequantize_mul_mat_vec_q2_K_cuda(const void * vx, const float * y, f
GGML_ASSERT(ncols % QK_K == 0);
const int ny = 2; // very slightly faster than 1 even when K_QUANTS_PER_ITERATION = 2
const int block_num_y = (nrows + ny - 1) / ny;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(32, ny, 1);
dequantize_mul_mat_vec_q2_k<<<block_nums, block_dims, 0, stream>>>(vx, y, dst, ncols, nrows);
}
@ -4930,7 +4982,7 @@ static void dequantize_mul_mat_vec_q3_K_cuda(const void * vx, const float * y, f
GGML_ASSERT(ncols % QK_K == 0);
const int ny = 2 / K_QUANTS_PER_ITERATION;
const int block_num_y = (nrows + ny - 1) / ny;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(32, ny, 1);
dequantize_mul_mat_vec_q3_k<<<block_nums, block_dims, 0, stream>>>(vx, y, dst, ncols, nrows);
}
@ -4939,7 +4991,7 @@ static void dequantize_mul_mat_vec_q4_K_cuda(const void * vx, const float * y, f
GGML_ASSERT(ncols % QK_K == 0);
const int ny = 2 / K_QUANTS_PER_ITERATION;
const int block_num_y = (nrows + ny - 1) / ny;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(32, ny, 1);
dequantize_mul_mat_vec_q4_k<<<block_nums, block_dims, 0, stream>>>(vx, y, dst, ncols, nrows);
}
@ -4954,7 +5006,7 @@ static void dequantize_mul_mat_vec_q6_K_cuda(const void * vx, const float * y, f
GGML_ASSERT(ncols % QK_K == 0);
const int ny = 2 / K_QUANTS_PER_ITERATION;
const int block_num_y = (nrows + ny - 1) / ny;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(32, ny, 1);
dequantize_mul_mat_vec_q6_k<<<block_nums, block_dims, 0, stream>>>(vx, y, dst, ncols, nrows);
}
@ -4962,7 +5014,7 @@ static void dequantize_mul_mat_vec_q6_K_cuda(const void * vx, const float * y, f
static void mul_mat_vec_q4_0_q8_1_cuda(const void * vx, const void * vy, float * dst, const int ncols, const int nrows, cudaStream_t stream) {
GGML_ASSERT(ncols % QK4_0 == 0);
const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
mul_mat_vec_q<QK4_0, QI4_0, block_q4_0, VDR_Q4_0_Q8_1_MMVQ, vec_dot_q4_0_q8_1>
<<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols, nrows);
@ -4971,7 +5023,7 @@ static void mul_mat_vec_q4_0_q8_1_cuda(const void * vx, const void * vy, float *
static void mul_mat_vec_q4_1_q8_1_cuda(const void * vx, const void * vy, float * dst, const int ncols, const int nrows, cudaStream_t stream) {
GGML_ASSERT(ncols % QK4_1 == 0);
const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
mul_mat_vec_q<QK4_0, QI4_1, block_q4_1, VDR_Q4_1_Q8_1_MMVQ, vec_dot_q4_1_q8_1>
<<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols, nrows);
@ -4980,7 +5032,7 @@ static void mul_mat_vec_q4_1_q8_1_cuda(const void * vx, const void * vy, float *
static void mul_mat_vec_q5_0_q8_1_cuda(const void * vx, const void * vy, float * dst, const int ncols, const int nrows, cudaStream_t stream) {
GGML_ASSERT(ncols % QK5_0 == 0);
const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
mul_mat_vec_q<QK5_0, QI5_0, block_q5_0, VDR_Q5_0_Q8_1_MMVQ, vec_dot_q5_0_q8_1>
<<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols, nrows);
@ -4989,7 +5041,7 @@ static void mul_mat_vec_q5_0_q8_1_cuda(const void * vx, const void * vy, float *
static void mul_mat_vec_q5_1_q8_1_cuda(const void * vx, const void * vy, float * dst, const int ncols, const int nrows, cudaStream_t stream) {
GGML_ASSERT(ncols % QK5_1 == 0);
const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
mul_mat_vec_q<QK5_1, QI5_1, block_q5_1, VDR_Q5_1_Q8_1_MMVQ, vec_dot_q5_1_q8_1>
<<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols, nrows);
@ -4998,7 +5050,7 @@ static void mul_mat_vec_q5_1_q8_1_cuda(const void * vx, const void * vy, float *
static void mul_mat_vec_q8_0_q8_1_cuda(const void * vx, const void * vy, float * dst, const int ncols, const int nrows, cudaStream_t stream) {
GGML_ASSERT(ncols % QK8_0 == 0);
const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
mul_mat_vec_q<QK8_0, QI8_0, block_q8_0, VDR_Q8_0_Q8_1_MMVQ, vec_dot_q8_0_q8_1>
<<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols, nrows);
@ -5007,7 +5059,7 @@ static void mul_mat_vec_q8_0_q8_1_cuda(const void * vx, const void * vy, float *
static void mul_mat_vec_q2_K_q8_1_cuda(const void * vx, const void * vy, float * dst, const int ncols, const int nrows, cudaStream_t stream) {
GGML_ASSERT(ncols % QK_K == 0);
const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
mul_mat_vec_q<QK_K, QI2_K, block_q2_K, VDR_Q2_K_Q8_1_MMVQ, vec_dot_q2_K_q8_1>
<<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols, nrows);
@ -5016,7 +5068,7 @@ static void mul_mat_vec_q2_K_q8_1_cuda(const void * vx, const void * vy, float *
static void mul_mat_vec_q3_K_q8_1_cuda(const void * vx, const void * vy, float * dst, const int ncols, const int nrows, cudaStream_t stream) {
GGML_ASSERT(ncols % QK_K == 0);
const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
mul_mat_vec_q<QK_K, QI3_K, block_q3_K, VDR_Q3_K_Q8_1_MMVQ, vec_dot_q3_K_q8_1>
<<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols, nrows);
@ -5025,7 +5077,7 @@ static void mul_mat_vec_q3_K_q8_1_cuda(const void * vx, const void * vy, float *
static void mul_mat_vec_q4_K_q8_1_cuda(const void * vx, const void * vy, float * dst, const int ncols, const int nrows, cudaStream_t stream) {
GGML_ASSERT(ncols % QK_K == 0);
const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
mul_mat_vec_q<QK_K, QI4_K, block_q4_K, VDR_Q4_K_Q8_1_MMVQ, vec_dot_q4_K_q8_1>
<<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols, nrows);
@ -5034,7 +5086,7 @@ static void mul_mat_vec_q4_K_q8_1_cuda(const void * vx, const void * vy, float *
static void mul_mat_vec_q5_K_q8_1_cuda(const void * vx, const void * vy, float * dst, const int ncols, const int nrows, cudaStream_t stream) {
GGML_ASSERT(ncols % QK_K == 0);
const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
mul_mat_vec_q<QK_K, QI5_K, block_q5_K, VDR_Q5_K_Q8_1_MMVQ, vec_dot_q5_K_q8_1>
<<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols, nrows);
@ -5043,7 +5095,7 @@ static void mul_mat_vec_q5_K_q8_1_cuda(const void * vx, const void * vy, float *
static void mul_mat_vec_q6_K_q8_1_cuda(const void * vx, const void * vy, float * dst, const int ncols, const int nrows, cudaStream_t stream) {
GGML_ASSERT(ncols % QK_K == 0);
const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
mul_mat_vec_q<QK_K, QI6_K, block_q6_K, VDR_Q6_K_Q8_1_MMVQ, vec_dot_q6_K_q8_1>
<<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols, nrows);
@ -5062,7 +5114,7 @@ static void convert_fp32_to_fp16_cuda(const void * vx, half * y, const int k, cu
static void convert_mul_mat_vec_f16_cuda(const void * vx, const dfloat * y, float * dst, const int ncols, const int nrows, cudaStream_t stream) {
GGML_ASSERT(ncols % GGML_CUDA_DMMV_X == 0);
const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
const dim3 block_nums(1, block_num_y, 1);
const dim3 block_nums(block_num_y, 1, 1);
const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
dequantize_mul_mat_vec<1, 1, convert_f16>
<<<block_nums, block_dims, 0, stream>>>(vx, y, dst, ncols, nrows);
@ -5618,6 +5670,16 @@ static void ggml_cpy_f32_f16_cuda(
(cx, cdst, ne, ne00, ne01, nb00, nb01, nb02, ne10, ne11, nb10, nb11, nb12);
}
static void ggml_cpy_f16_f16_cuda(
const char * cx, char * cdst, const int ne,
const int ne00, const int ne01, const int nb00, const int nb01, const int nb02,
const int ne10, const int ne11, const int nb10, const int nb11, const int nb12, cudaStream_t stream) {
const int num_blocks = (ne + CUDA_CPY_BLOCK_SIZE - 1) / CUDA_CPY_BLOCK_SIZE;
cpy_f32_f16<cpy_1_f16_f16><<<num_blocks, CUDA_CPY_BLOCK_SIZE, 0, stream>>>
(cx, cdst, ne, ne00, ne01, nb00, nb01, nb02, ne10, ne11, nb10, nb11, nb12);
}
static void scale_f32_cuda(const float * x, float * dst, const float scale, const int k, cudaStream_t stream) {
const int num_blocks = (k + CUDA_SCALE_BLOCK_SIZE - 1) / CUDA_SCALE_BLOCK_SIZE;
scale_f32<<<num_blocks, CUDA_SCALE_BLOCK_SIZE, 0, stream>>>(x, dst, scale, k);
@ -5701,6 +5763,15 @@ static void soft_max_f32_cuda(const float * x, float * dst, const int ncols_x, c
soft_max_f32<<<block_nums, block_dims, 0, stream>>>(x, dst, ncols_x);
}
static void im2col_f32_f16_cuda(const float * x, half * dst,
int OH, int IW, int IH, int OW, int IC,
int KH, int KW, int N, int ofs0, int ofs1,
int s0, int s1, int p0, int p1, int d0, int d1, cudaStream_t stream) {
dim3 block_nums(IC, OH, OW);
dim3 block_dims(N, KH, KW);
im2col_f32_f16<<<block_nums, block_dims, 0, stream>>>(x, dst, ofs0, ofs1, IW, IH, (IC * KH * KW), s0, s1, p0, p1, d0, d1);
}
// buffer pool for cuda
#define MAX_CUDA_BUFFERS 256
@ -5780,16 +5851,6 @@ static void * ggml_cuda_pool_malloc(size_t size, size_t * actual_size) {
return ptr;
}
static void * ggml_cuda_pool_malloc_async(size_t size, size_t * actual_size, int id, cudaStream_t stream) {
if (g_cudaMemPools[id] == nullptr) {
return ggml_cuda_pool_malloc(size, actual_size);
}
void *ptr;
CUDA_CHECK(cudaMallocFromPoolAsync(&ptr, size, g_cudaMemPools[id], stream));
*actual_size = size;
return ptr;
}
static void ggml_cuda_pool_free(void * ptr, size_t size) {
scoped_spin_lock lock(g_cuda_pool_lock);
int id;
@ -5807,12 +5868,10 @@ static void ggml_cuda_pool_free(void * ptr, size_t size) {
CUDA_CHECK(cudaFree(ptr));
}
static bool g_cublas_loaded = false;
static void ggml_cuda_pool_free_async(void * ptr, size_t actual_size, int id, cudaStream_t stream) {
if (g_cudaMemPools[id] == nullptr) {
return ggml_cuda_pool_free(ptr, actual_size);
}
CUDA_CHECK(cudaFreeAsync(ptr, stream));
bool ggml_cublas_loaded(void) {
return g_cublas_loaded;
}
void ggml_init_cublas() {
@ -5827,7 +5886,12 @@ void ggml_init_cublas() {
CUDA_CHECK(cudaDeviceSynchronize());
#endif
CUDA_CHECK(cudaGetDeviceCount(&g_device_count));
if (cudaGetDeviceCount(&g_device_count) != cudaSuccess) {
initialized = true;
g_cublas_loaded = false;
return;
}
GGML_ASSERT(g_device_count <= GGML_CUDA_MAX_DEVICES);
int64_t total_vram = 0;
#if defined(GGML_CUDA_FORCE_MMQ)
@ -5869,19 +5933,13 @@ void ggml_init_cublas() {
// create cublas handle
CUBLAS_CHECK(cublasCreate(&g_cublas_handles[id]));
CUBLAS_CHECK(cublasSetMathMode(g_cublas_handles[id], CUBLAS_TF32_TENSOR_OP_MATH));
// configure memory pool
cudaError_t err = cudaDeviceGetMemPool(&g_cudaMemPools[id], id);
if (err == cudaSuccess) {
size_t treshold = UINT64_MAX;
CUDA_CHECK(cudaMemPoolSetAttribute(g_cudaMemPools[id], cudaMemPoolAttrReleaseThreshold, &treshold));
}
}
// configure logging to stdout
// CUBLAS_CHECK(cublasLoggerConfigure(1, 1, 0, nullptr));
initialized = true;
g_cublas_loaded = true;
}
}
@ -6148,6 +6206,34 @@ inline void ggml_cuda_op_silu(
(void) src1_dd;
}
inline void ggml_cuda_op_relu(
const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst,
const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
relu_f32_cuda(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_cuda_op_sqr(
const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst,
const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
sqr_f32_cuda(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_cuda_op_norm(
const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst,
const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) {
@ -6469,7 +6555,7 @@ inline void ggml_cuda_op_mul_mat_cublas(
const to_fp16_cuda_t to_fp16_cuda = ggml_get_to_fp16_cuda(src0->type);
GGML_ASSERT(to_fp16_cuda != nullptr);
size_t ne = row_diff*ne00;
src0_as_f16 = (half *) ggml_cuda_pool_malloc_async(ne * sizeof(half), &src0_as, id, stream);
src0_as_f16 = (half *) ggml_cuda_pool_malloc(ne * sizeof(half), &src0_as);
to_fp16_cuda(src0_dd_i, src0_as_f16, ne, stream);
}
const half * src0_ptr = src0->type == GGML_TYPE_F16 ? (const half *) src0_dd_i : src0_as_f16;
@ -6480,12 +6566,12 @@ inline void ggml_cuda_op_mul_mat_cublas(
const to_fp16_cuda_t to_fp16_cuda = ggml_get_to_fp16_cuda(src1->type);
GGML_ASSERT(to_fp16_cuda != nullptr);
size_t ne = src1_ncols*ne10;
src1_as_f16 = (half *) ggml_cuda_pool_malloc_async(ne * sizeof(half), &src1_as, id, stream);
src1_as_f16 = (half *) ggml_cuda_pool_malloc(ne * sizeof(half), &src1_as);
to_fp16_cuda(src1_ddf_i, src1_as_f16, ne, stream);
}
const half * src1_ptr = src1->type == GGML_TYPE_F16 ? (const half *) src1_ddq_i : src1_as_f16;
size_t dst_f16_as = 0;
half * dst_f16 = (half *) ggml_cuda_pool_malloc_async(row_diff*src1_ncols * sizeof(half), &dst_f16_as, id, stream);
const half * src1_ptr = src1->type == GGML_TYPE_F16 ? (const half *) src1_ddf_i : src1_as_f16;
size_t dst_as = 0;
half * dst_f16 = (half *) ggml_cuda_pool_malloc(row_diff*src1_ncols * sizeof(half), &dst_as);
const half alpha_f16 = 1.0f;
const half beta_f16 = 0.0f;
@ -6503,15 +6589,14 @@ inline void ggml_cuda_op_mul_mat_cublas(
const to_fp32_cuda_t to_fp32_cuda = ggml_get_to_fp32_cuda(GGML_TYPE_F16);
to_fp32_cuda(dst_f16, dst_dd_i, row_diff*src1_ncols, stream);
if (dst_f16_as != 0) {
ggml_cuda_pool_free_async(dst_f16, dst_f16_as, id, stream);
}
ggml_cuda_pool_free(dst_f16, dst_as);
if (src0_as != 0) {
ggml_cuda_pool_free_async(src0_as_f16, src0_as, id, stream);
ggml_cuda_pool_free(src0_as_f16, src0_as);
}
if (src1_as != 0) {
ggml_cuda_pool_free_async(src1_as_f16, src1_as, id, stream);
ggml_cuda_pool_free(src1_as_f16, src1_as);
}
}
else {
@ -6521,7 +6606,7 @@ inline void ggml_cuda_op_mul_mat_cublas(
if (src0->type != GGML_TYPE_F32) {
const to_fp32_cuda_t to_fp32_cuda = ggml_get_to_fp32_cuda(src0->type);
GGML_ASSERT(to_fp32_cuda != nullptr);
src0_ddq_as_f32 = (float *) ggml_cuda_pool_malloc_async(row_diff*ne00 * sizeof(float), &src0_as, id, stream); // NOLINT
src0_ddq_as_f32 = (float *) ggml_cuda_pool_malloc(row_diff*ne00 * sizeof(float), &src0_as); // NOLINT
to_fp32_cuda(src0_dd_i, src0_ddq_as_f32, row_diff*ne00, stream);
}
const float * src0_ddf_i = src0->type == GGML_TYPE_F32 ? (const float *) src0_dd_i : src0_ddq_as_f32;
@ -6538,7 +6623,7 @@ inline void ggml_cuda_op_mul_mat_cublas(
&beta, dst_dd_i, ldc));
if (src0_as != 0) {
ggml_cuda_pool_free_async(src0_ddq_as_f32, src0_as, id, stream);
ggml_cuda_pool_free(src0_ddq_as_f32, src0_as);
}
}
@ -6659,6 +6744,45 @@ inline void ggml_cuda_op_alibi(
(void) src1_dd;
}
inline void ggml_cuda_op_im2col(
const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst,
const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F16);
GGML_ASSERT(src1->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F16);
const int32_t s0 = ((const int32_t*)(dst->op_params))[0];
const int32_t s1 = ((const int32_t*)(dst->op_params))[1];
const int32_t p0 = ((const int32_t*)(dst->op_params))[2];
const int32_t p1 = ((const int32_t*)(dst->op_params))[3];
const int32_t d0 = ((const int32_t*)(dst->op_params))[4];
const int32_t d1 = ((const int32_t*)(dst->op_params))[5];
const bool is_2D = ((const int32_t*)(dst->op_params))[6] == 1;
const int64_t N = src1->ne[is_2D ? 3 : 2];
const int64_t IC = src1->ne[is_2D ? 2 : 1];
const int64_t IH = is_2D ? src1->ne[1] : 1;
const int64_t IW = src1->ne[0];
const int64_t KH = is_2D ? src0->ne[1] : 1;
const int64_t KW = src0->ne[0];
const int64_t OH = is_2D ? dst->ne[2] : 1;
const int64_t OW = dst->ne[1];
const size_t ofs0 = src1->nb[is_2D ? 3 : 2] / 4; // nb is byte offset, src is type float32
const size_t ofs1 = src1->nb[is_2D ? 2 : 1] / 4; // nb is byte offset, src is type float32
im2col_f32_f16_cuda(src1_dd, (half*) dst_dd,
OH, IW, IH, OW, IC, KH, KW, N,
ofs0, ofs1, s0, s1, p0, p1, d0, d1, main_stream);
(void) src0;
(void) src0_dd;
}
inline void ggml_cuda_op_diag_mask_inf(
const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst,
const float * src0_dd, const float * src1_dd, float * dst_dd, const cudaStream_t & main_stream) {
@ -6924,6 +7048,8 @@ static void ggml_cuda_op_mul_mat(
int64_t row_low[GGML_CUDA_MAX_DEVICES];
int64_t row_high[GGML_CUDA_MAX_DEVICES];
int used_devices = 0;
for (int64_t id = 0; id < g_device_count; ++id) {
// by default, use all rows
row_low[id] = 0;
@ -6951,6 +7077,8 @@ static void ggml_cuda_op_mul_mat(
continue;
}
used_devices++;
const bool src1_on_device = src1->backend == GGML_BACKEND_GPU && id == g_main_device;
const bool dst_on_device = dst->backend == GGML_BACKEND_GPU && id == g_main_device;
@ -6961,22 +7089,21 @@ static void ggml_cuda_op_mul_mat(
src0_dd[id] = (char *) src0_extra->data_device[id];
} else {
const size_t size_src0_ddq = split ? (row_high[id]-row_low[id])*ne00 * src0_ts/src0_bs : ggml_nbytes(src0);
src0_dd[id] = (char *) ggml_cuda_pool_malloc_async(ggml_nbytes(src0), &src0_as[id], id, stream);
src0_dd[id] = (char *) ggml_cuda_pool_malloc(ggml_nbytes(src0), &src0_as[id]);
}
if (src1_on_device && src1_is_contiguous) {
src1_ddf[id] = (float *) src1_extra->data_device[id];
} else {
src1_ddf[id] = (float *) ggml_cuda_pool_malloc_async(ggml_nbytes(src1), &src1_asf[id], id, stream);
src1_ddf[id] = (float *) ggml_cuda_pool_malloc(ggml_nbytes(src1), &src1_asf[id]);
}
if (convert_src1_to_q8_1) {
const size_t size_dst_ddq = nrows1*src1_padded_col_size*q8_1_ts/q8_1_bs;
src1_ddq[id] = (char *) ggml_cuda_pool_malloc_async(size_dst_ddq, &src1_asq[id], id, stream);
src1_ddq[id] = (char *) ggml_cuda_pool_malloc(nrows1*src1_padded_col_size*q8_1_ts/q8_1_bs, &src1_asq[id]);
if (src1_on_device && src1_is_contiguous) {
quantize_row_q8_1_cuda(src1_ddf[id], src1_ddq[id], ne10, nrows1, src1_padded_col_size, stream);
// CUDA_CHECK(cudaGetLastError());
CUDA_CHECK(cudaGetLastError());
}
}
@ -6984,18 +7111,18 @@ static void ggml_cuda_op_mul_mat(
dst_dd[id] = (float *) dst_extra->data_device[id];
} else {
const size_t size_dst_ddf = split ? (row_high[id]-row_low[id])*ne1*sizeof(float) : ggml_nbytes(dst);
dst_dd[id] = (float *) ggml_cuda_pool_malloc_async(size_dst_ddf, &dst_as[id], id, stream);
dst_dd[id] = (float *) ggml_cuda_pool_malloc(size_dst_ddf, &dst_as[id]);
}
}
// if multiple devices are used they need to wait for the main device
// here an event is recorded that signals that the main device has finished calculating the input data
if (split && g_device_count > 1) {
if (split && used_devices > 1) {
CUDA_CHECK(ggml_cuda_set_device(g_main_device));
CUDA_CHECK(cudaEventRecord(src0_extra->events[g_main_device][0], g_cudaStreams[g_main_device][0]));
}
const int64_t src1_col_stride = split && g_device_count > 1 ? MUL_MAT_SRC1_COL_STRIDE : ne11;
const int64_t src1_col_stride = split && used_devices > 1 ? MUL_MAT_SRC1_COL_STRIDE : ne11;
for (int64_t src1_col_0 = 0; src1_col_0 < ne11; src1_col_0 += src1_col_stride) {
const int64_t is = split ? (src1_col_0/src1_col_stride) % MAX_STREAMS : 0;
const int64_t src1_ncols = src1_col_0 + src1_col_stride > ne11 ? ne11 - src1_col_0 : src1_col_stride;
@ -7110,6 +7237,27 @@ static void ggml_cuda_op_mul_mat(
}
}
for (int64_t id = 0; id < g_device_count; ++id) {
if ((!split && id != g_main_device) || row_low[id] == row_high[id]) {
continue;
}
CUDA_CHECK(ggml_cuda_set_device(id));
// free buffers again when done
if (src0_as[id] > 0) {
ggml_cuda_pool_free(src0_dd[id], src0_as[id]);
}
if (src1_asf[id] > 0) {
ggml_cuda_pool_free(src1_ddf[id], src1_asf[id]);
}
if (src1_asq[id] > 0) {
ggml_cuda_pool_free(src1_ddq[id], src1_asq[id]);
}
if (dst_as[id] > 0) {
ggml_cuda_pool_free(dst_dd[id], dst_as[id]);
}
}
// main device waits for all other devices to be finished
if (split && g_device_count > 1) {
int64_t is_max = (ne11 + MUL_MAT_SRC1_COL_STRIDE - 1) / MUL_MAT_SRC1_COL_STRIDE;
@ -7117,6 +7265,9 @@ static void ggml_cuda_op_mul_mat(
CUDA_CHECK(ggml_cuda_set_device(g_main_device));
for (int64_t id = 0; id < g_device_count; ++id) {
if (row_low[id] == row_high[id]) {
continue;
}
for (int64_t is = 0; is < is_max; ++is) {
CUDA_CHECK(cudaStreamWaitEvent(g_cudaStreams[g_main_device][0], src0_extra->events[id][is], 0));
}
@ -7127,21 +7278,6 @@ static void ggml_cuda_op_mul_mat(
CUDA_CHECK(ggml_cuda_set_device(g_main_device));
CUDA_CHECK(cudaDeviceSynchronize());
}
for (int64_t id = 0; id < g_device_count; ++id) {
if (src0_as[id] > 0) {
ggml_cuda_pool_free_async(src0_dd[id], src0_as[id], id, g_cudaStreams[id][0]);
}
if (src1_asf[id] > 0) {
ggml_cuda_pool_free_async(src1_ddf[id], src1_asf[id], id, g_cudaStreams[id][0]);
}
if (src1_asq[id] > 0) {
ggml_cuda_pool_free_async(src1_ddq[id], src1_asq[id], id, g_cudaStreams[id][0]);
}
if (dst_as[id] > 0) {
ggml_cuda_pool_free_async(dst_dd[id], dst_as[id], id, g_cudaStreams[id][0]);
}
}
}
static void ggml_cuda_repeat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
@ -7168,6 +7304,14 @@ static void ggml_cuda_silu(const ggml_tensor * src0, const ggml_tensor * src1, g
ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_silu);
}
static void ggml_cuda_relu(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_relu);
}
static void ggml_cuda_sqr(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_sqr);
}
static void ggml_cuda_norm(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_norm);
}
@ -7177,6 +7321,8 @@ static void ggml_cuda_rms_norm(const ggml_tensor * src0, const ggml_tensor * src
}
bool ggml_cuda_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) {
if (!g_cublas_loaded) return false;
const int64_t ne10 = src1->ne[0];
const int64_t ne0 = dst->ne[0];
@ -7328,11 +7474,11 @@ static void ggml_cuda_mul_mat_mat_batched_cublas(const ggml_tensor * src0, const
GGML_ASSERT(to_fp16_cuda != nullptr);
size_t src1_as = 0;
half * src1_as_f16 = (half *) ggml_cuda_pool_malloc_async(ne1 * sizeof(half), &src1_as, id, main_stream);
half * src1_as_f16 = (half *) ggml_cuda_pool_malloc(ne1 * sizeof(half), &src1_as);
to_fp16_cuda(src1_ddf, src1_as_f16, ne1, main_stream);
size_t dst_as = 0;
half * dst_f16 = (half *) ggml_cuda_pool_malloc_async(ne * sizeof(half), &dst_as, id, main_stream);
half * dst_f16 = (half *) ggml_cuda_pool_malloc(ne * sizeof(half), &dst_as);
GGML_ASSERT(ne12 % ne02 == 0);
GGML_ASSERT(ne13 % ne03 == 0);
@ -7386,8 +7532,8 @@ static void ggml_cuda_mul_mat_mat_batched_cublas(const ggml_tensor * src0, const
size_t ptrs_src_s = 0;
size_t ptrs_dst_s = 0;
ptrs_src = (const void **) ggml_cuda_pool_malloc_async(2*ne23*sizeof(void *), &ptrs_src_s, id, main_stream);
ptrs_dst = ( void **) ggml_cuda_pool_malloc_async(1*ne23*sizeof(void *), &ptrs_dst_s, id, main_stream);
ptrs_src = (const void **) ggml_cuda_pool_malloc(2*ne23*sizeof(void *), &ptrs_src_s);
ptrs_dst = ( void **) ggml_cuda_pool_malloc(1*ne23*sizeof(void *), &ptrs_dst_s);
dim3 block_dims(ne13, ne12);
k_compute_batched_ptrs<<<1, block_dims, 0, main_stream>>>(
@ -7400,6 +7546,7 @@ static void ggml_cuda_mul_mat_mat_batched_cublas(const ggml_tensor * src0, const
dst->nb[2], dst->nb[3],
r2, r3);
CUDA_CHECK(cudaGetLastError());
CUBLAS_CHECK(
cublasGemmBatchedEx(g_cublas_handles[id], CUBLAS_OP_T, CUBLAS_OP_N,
ne01, ne11, ne10,
@ -7411,30 +7558,29 @@ static void ggml_cuda_mul_mat_mat_batched_cublas(const ggml_tensor * src0, const
CUBLAS_GEMM_DEFAULT_TENSOR_OP));
if (ptrs_src_s != 0) {
ggml_cuda_pool_free_async(ptrs_src, ptrs_src_s, id, main_stream);
ggml_cuda_pool_free(ptrs_src, ptrs_src_s);
}
if (ptrs_dst_s != 0) {
ggml_cuda_pool_free_async(ptrs_dst, ptrs_dst_s, id, main_stream);
ggml_cuda_pool_free(ptrs_dst, ptrs_dst_s);
}
}
#endif
const to_fp32_cuda_t to_fp32_cuda = ggml_get_to_fp32_cuda(GGML_TYPE_F16);
to_fp32_cuda(dst_f16, dst_ddf, ne, main_stream);
if (src1_as != 0) {
ggml_cuda_pool_free_async(src1_as_f16, src1_as, id, main_stream);
}
if (dst_as != 0) {
ggml_cuda_pool_free_async(dst_f16, dst_as, id, main_stream);
}
ggml_cuda_pool_free(src1_as_f16, src1_as);
ggml_cuda_pool_free(dst_f16, dst_as);
}
static void ggml_cuda_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
const bool all_on_device =
(src0->backend == GGML_BACKEND_GPU) &&
(src0->backend == GGML_BACKEND_GPU || src0->backend == GGML_BACKEND_GPU_SPLIT) &&
(src1->backend == GGML_BACKEND_GPU) &&
( dst->backend == GGML_BACKEND_GPU);
const bool split = src0->backend == GGML_BACKEND_GPU_SPLIT;
int64_t min_compute_capability = INT_MAX;
for (int64_t id = 0; id < g_device_count; ++id) {
if (min_compute_capability > g_compute_capabilities[id] && g_tensor_split[id] < (id + 1 < g_device_count ? g_tensor_split[id + 1] : 1.0f)) {
@ -7456,13 +7602,13 @@ static void ggml_cuda_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1
//printf("src0 is contiguous %d, transposed %d, type = %s, name = %s\n", ggml_is_contiguous(src0), ggml_is_transposed(src0), ggml_type_name(src0->type), src0->name);
//printf("src1 is contiguous %d, transposed %d, type = %s, name = %s\n", ggml_is_contiguous(src1), ggml_is_transposed(src1), ggml_type_name(src1->type), src1->name);
if (all_on_device && !use_tensor_cores && src0->type == GGML_TYPE_F16 && ggml_is_permuted(src0) && ggml_is_permuted(src1) && src1->ne[1] == 1) {
if (!split && all_on_device && !use_tensor_cores && src0->type == GGML_TYPE_F16 && ggml_is_permuted(src0) && ggml_is_permuted(src1) && src1->ne[1] == 1) {
// KQ single-batch
ggml_cuda_mul_mat_vec_p021(src0, src1, dst);
} else if (all_on_device && !use_tensor_cores && src0->type == GGML_TYPE_F16 && !ggml_is_contiguous(src0) && !ggml_is_transposed(src1) && src1->ne[1] == 1) {
} else if (!split && all_on_device && !use_tensor_cores && src0->type == GGML_TYPE_F16 && !ggml_is_contiguous(src0) && !ggml_is_transposed(src1) && src1->ne[1] == 1) {
// KQV single-batch
ggml_cuda_mul_mat_vec_nc(src0, src1, dst);
} else if (all_on_device && use_tensor_cores && src0->type == GGML_TYPE_F16 && src1->type == GGML_TYPE_F32 && !ggml_is_transposed(src0) && !ggml_is_transposed(src1)) {
} else if (!split && all_on_device && use_tensor_cores && src0->type == GGML_TYPE_F16 && src1->type == GGML_TYPE_F32 && !ggml_is_transposed(src0) && !ggml_is_transposed(src1)) {
// KQ + KQV multi-batch
ggml_cuda_mul_mat_mat_batched_cublas(src0, src1, dst);
} else if (src0->type == GGML_TYPE_F32) {
@ -7549,6 +7695,9 @@ static void ggml_cuda_cpy(const ggml_tensor * src0, const ggml_tensor * src1, gg
} else if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F16) {
ggml_cpy_f32_f16_cuda(src0_ddc, src1_ddc, ne, ne00, ne01, nb00, nb01, nb02,
ne10, ne11, nb10, nb11, nb12, main_stream);
} else if (src0->type == GGML_TYPE_F16 && src1->type == GGML_TYPE_F16) {
ggml_cpy_f16_f16_cuda(src0_ddc, src1_ddc, ne, ne00, ne01, nb00, nb01, nb02,
ne10, ne11, nb10, nb11, nb12, main_stream);
} else {
fprintf(stderr, "%s: unsupported type combination (%s to %s)\n", __func__,
ggml_type_name(src0->type), ggml_type_name(src1->type));
@ -7580,6 +7729,10 @@ static void ggml_cuda_alibi(const ggml_tensor * src0, const ggml_tensor * src1,
ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_alibi);
}
static void ggml_cuda_im2col(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
ggml_cuda_op_flatten(src0, src1, dst, ggml_cuda_op_im2col);
}
static void ggml_cuda_nop(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
(void) src0;
(void) src1;
@ -7691,11 +7844,11 @@ static size_t g_temp_tensor_extra_index = 0;
static ggml_tensor_extra_gpu * ggml_cuda_alloc_temp_tensor_extra() {
if (g_temp_tensor_extras == nullptr) {
g_temp_tensor_extras = new ggml_tensor_extra_gpu[GGML_DEFAULT_GRAPH_SIZE];
g_temp_tensor_extras = new ggml_tensor_extra_gpu[GGML_CUDA_MAX_NODES];
}
size_t alloc_index = g_temp_tensor_extra_index;
g_temp_tensor_extra_index = (g_temp_tensor_extra_index + 1) % GGML_DEFAULT_GRAPH_SIZE;
g_temp_tensor_extra_index = (g_temp_tensor_extra_index + 1) % GGML_CUDA_MAX_NODES;
ggml_tensor_extra_gpu * extra = &g_temp_tensor_extras[alloc_index];
memset(extra, 0, sizeof(*extra));
@ -7862,6 +8015,8 @@ void ggml_cuda_free_scratch() {
}
bool ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor) {
if (!g_cublas_loaded) return false;
ggml_cuda_func_t func;
const bool any_on_device = tensor->backend == GGML_BACKEND_GPU
|| (tensor->src[0] != nullptr && (tensor->src[0]->backend == GGML_BACKEND_GPU || tensor->src[0]->backend == GGML_BACKEND_GPU_SPLIT))
@ -7871,6 +8026,15 @@ bool ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_
return false;
}
if (tensor->op == GGML_OP_MUL_MAT) {
if (tensor->src[0]->ne[3] != tensor->src[1]->ne[3]) {
#ifndef NDEBUG
fprintf(stderr, "%s: cannot compute %s: src0->ne[3] = %d, src1->ne[3] = %d - fallback to CPU\n", __func__, tensor->name, tensor->src[0]->ne[3], tensor->src[1]->ne[3]);
#endif
return false;
}
}
switch (tensor->op) {
case GGML_OP_REPEAT:
func = ggml_cuda_repeat;
@ -7895,6 +8059,9 @@ bool ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_
case GGML_UNARY_OP_SILU:
func = ggml_cuda_silu;
break;
case GGML_UNARY_OP_RELU:
func = ggml_cuda_relu;
break;
default:
return false;
} break;
@ -7913,6 +8080,9 @@ bool ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_
case GGML_OP_SCALE:
func = ggml_cuda_scale;
break;
case GGML_OP_SQR:
func = ggml_cuda_sqr;
break;
case GGML_OP_CLAMP:
if (!any_on_device) {
return false;
@ -7943,6 +8113,9 @@ bool ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_
case GGML_OP_ALIBI:
func = ggml_cuda_alibi;
break;
case GGML_OP_IM2COL:
func = ggml_cuda_im2col;
break;
default:
return false;
}
@ -8002,11 +8175,11 @@ struct ggml_backend_buffer_context_cuda {
ggml_tensor_extra_gpu * ggml_cuda_alloc_temp_tensor_extra() {
if (temp_tensor_extras == nullptr) {
temp_tensor_extras = new ggml_tensor_extra_gpu[GGML_DEFAULT_GRAPH_SIZE];
temp_tensor_extras = new ggml_tensor_extra_gpu[GGML_CUDA_MAX_NODES];
}
size_t alloc_index = temp_tensor_extra_index;
temp_tensor_extra_index = (temp_tensor_extra_index + 1) % GGML_DEFAULT_GRAPH_SIZE;
temp_tensor_extra_index = (temp_tensor_extra_index + 1) % GGML_CUDA_MAX_NODES;
ggml_tensor_extra_gpu * extra = &temp_tensor_extras[alloc_index];
memset(extra, 0, sizeof(*extra));

View File

@ -17,7 +17,12 @@ extern "C" {
#define GGML_CUDA_MAX_DEVICES 16
// Always success. To check if CUDA is actually loaded, use `ggml_cublas_loaded`.
GGML_API void ggml_init_cublas(void);
// Returns `true` if there are available CUDA devices and cublas loads successfully; otherwise, it returns `false`.
GGML_API bool ggml_cublas_loaded(void);
GGML_API void * ggml_cuda_host_malloc(size_t size);
GGML_API void ggml_cuda_host_free(void * ptr);

View File

@ -26,7 +26,7 @@
#include <stdbool.h>
// max memory buffers that can be mapped to the device
#define GGML_METAL_MAX_BUFFERS 16
#define GGML_METAL_MAX_BUFFERS 64
#define GGML_METAL_MAX_COMMAND_BUFFERS 32
struct ggml_tensor;

View File

@ -86,6 +86,7 @@ struct ggml_metal_context {
GGML_METAL_DECL_KERNEL(rms_norm);
GGML_METAL_DECL_KERNEL(norm);
GGML_METAL_DECL_KERNEL(mul_mv_f32_f32);
GGML_METAL_DECL_KERNEL(mul_mv_f16_f16);
GGML_METAL_DECL_KERNEL(mul_mv_f16_f32);
GGML_METAL_DECL_KERNEL(mul_mv_f16_f32_1row);
GGML_METAL_DECL_KERNEL(mul_mv_f16_f32_l4);
@ -114,6 +115,7 @@ struct ggml_metal_context {
GGML_METAL_DECL_KERNEL(rope_f32);
GGML_METAL_DECL_KERNEL(rope_f16);
GGML_METAL_DECL_KERNEL(alibi_f32);
GGML_METAL_DECL_KERNEL(im2col_f16);
GGML_METAL_DECL_KERNEL(cpy_f32_f16);
GGML_METAL_DECL_KERNEL(cpy_f32_f32);
GGML_METAL_DECL_KERNEL(cpy_f16_f16);
@ -126,7 +128,7 @@ struct ggml_metal_context {
// MSL code
// TODO: move the contents here when ready
// for now it is easier to work in a separate file
static NSString * const msl_library_source = @"see metal.metal";
//static NSString * const msl_library_source = @"see metal.metal";
// Here to assist with NSBundle Path Hack
@interface GGMLMetalClass : NSObject
@ -142,7 +144,8 @@ void ggml_metal_log_set_callback(ggml_log_callback log_callback, void * user_dat
ggml_metal_log_user_data = user_data;
}
static void ggml_metal_log(enum ggml_log_level level, const char* format, ...){
GGML_ATTRIBUTE_FORMAT(2, 3)
static void ggml_metal_log(enum ggml_log_level level, const char * format, ...){
if (ggml_metal_log_callback != NULL) {
va_list args;
va_start(args, format);
@ -287,6 +290,7 @@ struct ggml_metal_context * ggml_metal_init(int n_cb) {
GGML_METAL_ADD_KERNEL(rms_norm);
GGML_METAL_ADD_KERNEL(norm);
GGML_METAL_ADD_KERNEL(mul_mv_f32_f32);
GGML_METAL_ADD_KERNEL(mul_mv_f16_f16);
GGML_METAL_ADD_KERNEL(mul_mv_f16_f32);
GGML_METAL_ADD_KERNEL(mul_mv_f16_f32_1row);
GGML_METAL_ADD_KERNEL(mul_mv_f16_f32_l4);
@ -317,6 +321,7 @@ struct ggml_metal_context * ggml_metal_init(int n_cb) {
GGML_METAL_ADD_KERNEL(rope_f32);
GGML_METAL_ADD_KERNEL(rope_f16);
GGML_METAL_ADD_KERNEL(alibi_f32);
GGML_METAL_ADD_KERNEL(im2col_f16);
GGML_METAL_ADD_KERNEL(cpy_f32_f16);
GGML_METAL_ADD_KERNEL(cpy_f32_f32);
GGML_METAL_ADD_KERNEL(cpy_f16_f16);
@ -335,7 +340,7 @@ struct ggml_metal_context * ggml_metal_init(int n_cb) {
// https://developer.apple.com/metal/Metal-Feature-Set-Tables.pdf
for (int i = MTLGPUFamilyApple1 + 20; i >= MTLGPUFamilyApple1; --i) {
if ([ctx->device supportsFamily:i]) {
GGML_METAL_LOG_INFO("%s: GPU family: MTLGPUFamilyApple%d (%d)\n", __func__, i - MTLGPUFamilyApple1 + 1, i);
GGML_METAL_LOG_INFO("%s: GPU family: MTLGPUFamilyApple%d (%d)\n", __func__, i - (int) MTLGPUFamilyApple1 + 1, i);
break;
}
}
@ -386,6 +391,7 @@ void ggml_metal_free(struct ggml_metal_context * ctx) {
GGML_METAL_DEL_KERNEL(rms_norm);
GGML_METAL_DEL_KERNEL(norm);
GGML_METAL_DEL_KERNEL(mul_mv_f32_f32);
GGML_METAL_DEL_KERNEL(mul_mv_f16_f16);
GGML_METAL_DEL_KERNEL(mul_mv_f16_f32);
GGML_METAL_DEL_KERNEL(mul_mv_f16_f32_1row);
GGML_METAL_DEL_KERNEL(mul_mv_f16_f32_l4);
@ -416,6 +422,7 @@ void ggml_metal_free(struct ggml_metal_context * ctx) {
GGML_METAL_DEL_KERNEL(rope_f32);
GGML_METAL_DEL_KERNEL(rope_f16);
GGML_METAL_DEL_KERNEL(alibi_f32);
GGML_METAL_DEL_KERNEL(im2col_f16);
GGML_METAL_DEL_KERNEL(cpy_f32_f16);
GGML_METAL_DEL_KERNEL(cpy_f32_f32);
GGML_METAL_DEL_KERNEL(cpy_f16_f16);
@ -473,6 +480,10 @@ static id<MTLBuffer> ggml_metal_get_buffer(struct ggml_metal_context * ctx, stru
const int64_t tsize = ggml_nbytes(t);
if (t->buffer && t->buffer->backend && t->buffer->backend->context) {
ctx = t->buffer->backend->context;
}
// find the view that contains the tensor fully
for (int i = 0; i < ctx->n_buffers; ++i) {
const int64_t ioffs = (int64_t) t->data - (int64_t) ctx->buffers[i].data;
@ -573,7 +584,7 @@ bool ggml_metal_add_buffer(
ctx->device.recommendedMaxWorkingSetSize / 1024.0 / 1024.0);
if (ctx->device.currentAllocatedSize > ctx->device.recommendedMaxWorkingSetSize) {
GGML_METAL_LOG_WARN(", warning: current allocated size is greater than the recommended max working set size\n", __func__);
GGML_METAL_LOG_WARN("%s: warning: current allocated size is greater than the recommended max working set size\n", __func__);
} else {
GGML_METAL_LOG_INFO("\n");
}
@ -1139,6 +1150,7 @@ void ggml_metal_graph_compute(
switch (src0t) {
case GGML_TYPE_F32:
{
GGML_ASSERT(src1t == GGML_TYPE_F32);
[encoder setComputePipelineState:ctx->pipeline_mul_mv_f32_f32];
nrows = 4;
} break;
@ -1146,13 +1158,18 @@ void ggml_metal_graph_compute(
{
nth0 = 32;
nth1 = 1;
if (ne11 * ne12 < 4) {
[encoder setComputePipelineState:ctx->pipeline_mul_mv_f16_f32_1row];
} else if (ne00 >= 128 && ne01 >= 8 && ne00%4 == 0) {
[encoder setComputePipelineState:ctx->pipeline_mul_mv_f16_f32_l4];
nrows = ne11;
if (src1t == GGML_TYPE_F32) {
if (ne11 * ne12 < 4) {
[encoder setComputePipelineState:ctx->pipeline_mul_mv_f16_f32_1row];
} else if (ne00 >= 128 && ne01 >= 8 && ne00%4 == 0) {
[encoder setComputePipelineState:ctx->pipeline_mul_mv_f16_f32_l4];
nrows = ne11;
} else {
[encoder setComputePipelineState:ctx->pipeline_mul_mv_f16_f32];
nrows = 4;
}
} else {
[encoder setComputePipelineState:ctx->pipeline_mul_mv_f16_f32];
[encoder setComputePipelineState:ctx->pipeline_mul_mv_f16_f16];
nrows = 4;
}
} break;
@ -1464,6 +1481,58 @@ void ggml_metal_graph_compute(
[encoder dispatchThreadgroups:MTLSizeMake(ne01, ne02, ne03) threadsPerThreadgroup:MTLSizeMake(nth, 1, 1)];
} break;
case GGML_OP_IM2COL:
{
GGML_ASSERT(src0->type == GGML_TYPE_F16);
GGML_ASSERT(src1->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F16);
const int32_t s0 = ((const int32_t *)(dst->op_params))[0];
const int32_t s1 = ((const int32_t *)(dst->op_params))[1];
const int32_t p0 = ((const int32_t *)(dst->op_params))[2];
const int32_t p1 = ((const int32_t *)(dst->op_params))[3];
const int32_t d0 = ((const int32_t *)(dst->op_params))[4];
const int32_t d1 = ((const int32_t *)(dst->op_params))[5];
const bool is_2D = ((const int32_t *)(dst->op_params))[6] == 1;
const int32_t N = src1->ne[is_2D ? 3 : 2];
const int32_t IC = src1->ne[is_2D ? 2 : 1];
const int32_t IH = is_2D ? src1->ne[1] : 1;
const int32_t IW = src1->ne[0];
const int32_t KH = is_2D ? src0->ne[1] : 1;
const int32_t KW = src0->ne[0];
const int32_t OH = is_2D ? dst->ne[2] : 1;
const int32_t OW = dst->ne[1];
const int32_t CHW = IC * KH * KW;
const int32_t ofs0 = src1->nb[is_2D ? 3 : 2] / 4;
const int32_t ofs1 = src1->nb[is_2D ? 2 : 1] / 4;
switch (src0->type) {
case GGML_TYPE_F32: GGML_ASSERT(false && "not implemented"); break;
case GGML_TYPE_F16: [encoder setComputePipelineState:ctx->pipeline_im2col_f16]; break;
default: GGML_ASSERT(false);
};
[encoder setBuffer:id_src1 offset:offs_src1 atIndex:0];
[encoder setBuffer:id_dst offset:offs_dst atIndex:1];
[encoder setBytes:&ofs0 length:sizeof( int32_t) atIndex:2];
[encoder setBytes:&ofs1 length:sizeof( int32_t) atIndex:3];
[encoder setBytes:&IW length:sizeof( int32_t) atIndex:4];
[encoder setBytes:&IH length:sizeof( int32_t) atIndex:5];
[encoder setBytes:&CHW length:sizeof( int32_t) atIndex:6];
[encoder setBytes:&s0 length:sizeof( int32_t) atIndex:7];
[encoder setBytes:&s1 length:sizeof( int32_t) atIndex:8];
[encoder setBytes:&p0 length:sizeof( int32_t) atIndex:9];
[encoder setBytes:&p1 length:sizeof( int32_t) atIndex:10];
[encoder setBytes:&d0 length:sizeof( int32_t) atIndex:11];
[encoder setBytes:&d1 length:sizeof( int32_t) atIndex:12];
[encoder dispatchThreadgroups:MTLSizeMake(IC, OH, OW) threadsPerThreadgroup:MTLSizeMake(N, KH, KW)];
} break;
case GGML_OP_DUP:
case GGML_OP_CPY:
case GGML_OP_CONT:

View File

@ -792,7 +792,7 @@ kernel void kernel_mul_mv_f32_f32(
constant int64_t & ne0,
constant int64_t & ne1,
uint3 tgpig[[threadgroup_position_in_grid]],
uint tiisg[[thread_index_in_simdgroup]]) {
uint tiisg[[thread_index_in_simdgroup]]) {
const int64_t r0 = tgpig.x;
const int64_t rb = tgpig.y*N_F32_F32;
@ -844,6 +844,79 @@ kernel void kernel_mul_mv_f32_f32(
}
}
#define N_F16_F16 4
kernel void kernel_mul_mv_f16_f16(
device const char * src0,
device const char * src1,
device float * dst,
constant int64_t & ne00,
constant int64_t & ne01,
constant int64_t & ne02,
constant uint64_t & nb00,
constant uint64_t & nb01,
constant uint64_t & nb02,
constant int64_t & ne10,
constant int64_t & ne11,
constant int64_t & ne12,
constant uint64_t & nb10,
constant uint64_t & nb11,
constant uint64_t & nb12,
constant int64_t & ne0,
constant int64_t & ne1,
uint3 tgpig[[threadgroup_position_in_grid]],
uint tiisg[[thread_index_in_simdgroup]]) {
const int64_t r0 = tgpig.x;
const int64_t rb = tgpig.y*N_F16_F16;
const int64_t im = tgpig.z;
device const half * x = (device const half *) (src0 + r0*nb01 + im/(ne12/ne02)*nb02);
if (ne00 < 128) {
for (int row = 0; row < N_F16_F16; ++row) {
int r1 = rb + row;
if (r1 >= ne11) {
break;
}
device const half * y = (device const half *) (src1 + r1*nb11 + im*nb12);
float sumf = 0;
for (int i = tiisg; i < ne00; i += 32) {
sumf += (half) x[i] * (half) y[i];
}
float all_sum = simd_sum(sumf);
if (tiisg == 0) {
dst[im*ne1*ne0 + r1*ne0 + r0] = all_sum;
}
}
} else {
device const half4 * x4 = (device const half4 *)x;
for (int row = 0; row < N_F16_F16; ++row) {
int r1 = rb + row;
if (r1 >= ne11) {
break;
}
device const half * y = (device const half *) (src1 + r1*nb11 + im*nb12);
device const half4 * y4 = (device const half4 *) y;
float sumf = 0;
for (int i = tiisg; i < ne00/4; i += 32) {
for (int k = 0; k < 4; ++k) sumf += (half) x4[i][k] * y4[i][k];
}
float all_sum = simd_sum(sumf);
if (tiisg == 0) {
for (int i = 4*(ne00/4); i < ne00; ++i) all_sum += (half) x[i] * y[i];
dst[im*ne1*ne0 + r1*ne0 + r0] = all_sum;
}
}
}
}
kernel void kernel_mul_mv_f16_f32_1row(
device const char * src0,
device const char * src1,
@ -1229,6 +1302,39 @@ kernel void kernel_rope(
template [[host_name("kernel_rope_f32")]] kernel rope_t kernel_rope<float>;
template [[host_name("kernel_rope_f16")]] kernel rope_t kernel_rope<half>;
kernel void kernel_im2col_f16(
device const float * x,
device half * dst,
constant int32_t & ofs0,
constant int32_t & ofs1,
constant int32_t & IW,
constant int32_t & IH,
constant int32_t & CHW,
constant int32_t & s0,
constant int32_t & s1,
constant int32_t & p0,
constant int32_t & p1,
constant int32_t & d0,
constant int32_t & d1,
uint3 tgpig[[threadgroup_position_in_grid]],
uint3 tgpg[[threadgroups_per_grid]],
uint3 tpitg[[thread_position_in_threadgroup]],
uint3 ntg[[threads_per_threadgroup]]) {
const int32_t iiw = tgpig[2] * s0 + tpitg[2] * d0 - p0;
const int32_t iih = tgpig[1] * s1 + tpitg[1] * d1 - p1;
const int32_t offset_dst =
(tpitg[0] * tgpg[1] * tgpg[2] + tgpig[1] * tgpg[2] + tgpig[2]) * CHW +
(tgpig[0] * (ntg[1] * ntg[2]) + tpitg[1] * ntg[2] + tpitg[2]);
if (iih < 0 || iih >= IH || iiw < 0 || iiw >= IW) {
dst[offset_dst] = 0.0f;
} else {
const int32_t offset_src = tpitg[0] * ofs0 + tgpig[0] * ofs1;
dst[offset_dst] = x[offset_src + iih * IW + iiw];
}
}
kernel void kernel_cpy_f16_f16(
device const half * src0,
device half * dst,

1056
ggml.c

File diff suppressed because it is too large Load Diff

19
ggml.h
View File

@ -403,13 +403,8 @@ extern "C" {
GGML_OP_ROPE_BACK,
GGML_OP_ALIBI,
GGML_OP_CLAMP,
GGML_OP_CONV_1D,
GGML_OP_CONV_1D_STAGE_0, // internal
GGML_OP_CONV_1D_STAGE_1, // internal
GGML_OP_CONV_TRANSPOSE_1D,
GGML_OP_CONV_2D,
GGML_OP_CONV_2D_STAGE_0, // internal
GGML_OP_CONV_2D_STAGE_1, // internal
GGML_OP_IM2COL,
GGML_OP_CONV_TRANSPOSE_2D,
GGML_OP_POOL_1D,
GGML_OP_POOL_2D,
@ -1398,6 +1393,18 @@ extern "C" {
float min,
float max);
GGML_API struct ggml_tensor * ggml_im2col(
struct ggml_context * ctx,
struct ggml_tensor * a,
struct ggml_tensor * b,
int s0,
int s1,
int p0,
int p1,
int d0,
int d1,
bool is_2D);
GGML_API struct ggml_tensor * ggml_conv_1d(
struct ggml_context * ctx,
struct ggml_tensor * a,

57
grammars/assistant.gbnf Normal file
View File

@ -0,0 +1,57 @@
# - "turn on lights."
# - "set thermostat to 22."
# - "increase TV by 10."
# - "decrease oven by 50."
# - "play music."
# - "stop podcast."
# - "schedule cleaning at 3pm."
# - "cancel cleaning."
# - "remind me to buy milk at 5pm."
# - "show me security system."
# - "hide washing machine."
# - "what is the lights status?"
# - "what is the current thermostat value?"
# - "what is the security system status?"
# - "what is the door lock status?"
# - "what is the camera battery level?"
# - "what is the weather like today?"
# - "what is the forecast for tomorrow?"
# - "what is the time?"
# - "what is my schedule for today?"
# - "what tasks do I have?"
# - "what reminders do I have?"
#
# example:
#
# ./command -m ./models/ggml-tiny.en.bin -t 8 --grammar ./grammars/assistant.gbnf --prompt "Ok Whisper, start listening for commands." --context "Whisper is a home assistant. It recognizes voice commands. Time is 11pm." --grammar-penalty 10
#
root ::= init " " (command | question) "."
prompt ::= init
# leading space is very important!
init ::= " Ok Whisper, start listening for commands."
command ::= "Turn " ("on" | "off") " " device | "Set " device " to " value |
"Increase " device " by " value | "Decrease " device " by " value |
"Play " media | "Stop " media | "Schedule " task " at " time | "Cancel " task |
"Remind me to " task " at " time | "Show me " device | "Hide " device
question ::= "What is the " device " status?" | "What is the current " device " value?" |
"What is the " device " temperature?" | "What is the " device " humidity?" |
"What is the " device " power consumption?" | "What is the " device " battery level?" |
"What is the weather like today?" | "What is the forecast for tomorrow?" |
"What is the time?" | "What is my schedule for today?" | "What tasks do I have?" |
"What reminders do I have?"
device ::= "lights" | "thermostat" | "security system" | "door lock" | "camera" | "speaker" | "TV" |
"music player" | "coffee machine" | "oven" | "refrigerator" | "washing machine" |
"vacuum cleaner"
value ::= [0-9]+
media ::= "music" | "radio" | "podcast" | "audiobook" | "TV show" | "movie"
task ::= [a-zA-Z]+ (" " [a-zA-Z]+)?
time ::= [0-9] [0-9]? ("am" | "pm")?

29
grammars/chess.gbnf Normal file
View File

@ -0,0 +1,29 @@
# - bishop to c3
# - rook to d4
# - knight to e5
# - d4 d5 knight to c3
# - c3 queen to d4 king b1
# - pawn to a1 bishop to b2 knight to c3
#
# The prompt (--prompt) is the initial phrase that the user has to say.
# This is used to prime Whisper with how the user is expected to speak.
#
# Provide long context (--context) with sample moves to help Whisper decode the correct sequence.
# Longer context is better, but it slightly increases the processing time.
#
# example:
#
# ./command -m ./models/ggml-tiny.en.bin -t 8 --grammar ./grammars/chess.gbnf --prompt "rook to b4, f3," --context "d4 d5 knight to c3, pawn to a1, bishop to b2 king e8," --grammar-penalty 100
#
root ::= init move move? move? "."
prompt ::= init "."
# leading space is very important!
init ::= " rook to b4, f3"
move ::= ", " ((piece | pawn | king) " " "to "?)? [a-h] [1-8]
piece ::= "bishop" | "rook" | "knight" | "queen"
king ::= "king"
pawn ::= "pawn"

16
grammars/colors.gbnf Normal file
View File

@ -0,0 +1,16 @@
# - red
# - green
# - blue
#
# example:
#
# ./command -m ./models/ggml-tiny.en.bin -t 8 --grammar ./grammars/colors.gbnf --prompt "red, green, blue," --context "green, red, blue,"
#
root ::= init color "."
prompt ::= init "."
# leading space is very important!
init ::= " red, green, blue"
color ::= ", " ("red" | "green" | "blue")

View File

@ -252,7 +252,7 @@ class WhisperANE(Whisper):
def convert_encoder(hparams, model, quantize=False):
model.eval()
input_shape = (1, 80, 3000)
input_shape = (1, hparams.n_mels, 3000)
input_data = torch.randn(input_shape)
traced_model = torch.jit.trace(model, input_data)
@ -302,7 +302,7 @@ if __name__ == "__main__":
parser.add_argument("--optimize-ane", type=bool, help="optimize for ANE execution (currently broken)", default=False)
args = parser.parse_args()
if args.model not in ["tiny", "tiny.en", "base", "base.en", "small", "small.en", "medium", "medium.en", "large", "large-v1", "large-v2"]:
if args.model not in ["tiny", "tiny.en", "base", "base.en", "small", "small.en", "small.en-tdrz", "medium", "medium.en", "large", "large-v1", "large-v2"]:
raise ValueError("Invalid model name")
whisper = load_model(args.model).cpu()

View File

@ -9,7 +9,7 @@ import shutil
def convert_encoder(hparams, encoder, mname):
encoder.eval()
mel = torch.zeros((1, 80, 3000))
mel = torch.zeros((1, hparams.n_mels, 3000))
onnx_folder=os.path.join(os.path.dirname(__file__),"onnx_encoder")

1
spm-headers/ggml.h Symbolic link
View File

@ -0,0 +1 @@
../ggml.h

1
spm-headers/whisper.h Symbolic link
View File

@ -0,0 +1 @@
../whisper.h

File diff suppressed because it is too large Load Diff

View File

@ -1,6 +1,8 @@
#ifndef WHISPER_H
#define WHISPER_H
#include "ggml.h"
#include <stddef.h>
#include <stdint.h>
#include <stdbool.h>
@ -76,7 +78,9 @@ extern "C" {
struct whisper_state;
struct whisper_full_params;
typedef int whisper_token;
typedef int32_t whisper_pos;
typedef int32_t whisper_token;
typedef int32_t whisper_seq_id;
struct whisper_context_params {
bool use_gpu;
@ -107,18 +111,49 @@ extern "C" {
void (*close)(void * ctx);
} whisper_model_loader;
// grammar element type
enum whisper_gretype {
// end of rule definition
WHISPER_GRETYPE_END = 0,
// start of alternate definition for rule
WHISPER_GRETYPE_ALT = 1,
// non-terminal element: reference to rule
WHISPER_GRETYPE_RULE_REF = 2,
// terminal element: character (code point)
WHISPER_GRETYPE_CHAR = 3,
// inverse char(s) ([^a], [^a-b] [^abc])
WHISPER_GRETYPE_CHAR_NOT = 4,
// modifies a preceding WHISPER_GRETYPE_CHAR or LLAMA_GRETYPE_CHAR_ALT to
// be an inclusive range ([a-z])
WHISPER_GRETYPE_CHAR_RNG_UPPER = 5,
// modifies a preceding WHISPER_GRETYPE_CHAR or
// WHISPER_GRETYPE_CHAR_RNG_UPPER to add an alternate char to match ([ab], [a-zA])
WHISPER_GRETYPE_CHAR_ALT = 6,
};
typedef struct whisper_grammar_element {
enum whisper_gretype type;
uint32_t value; // Unicode code point or rule ID
} whisper_grammar_element;
// Various functions for loading a ggml whisper model.
// Allocate (almost) all memory needed for the model.
// Return NULL on failure
WHISPER_API struct whisper_context * whisper_init_from_file_with_params(const char * path_model, struct whisper_context_params params);
WHISPER_API struct whisper_context * whisper_init_from_buffer_with_params(void * buffer, size_t buffer_size, struct whisper_context_params params);
WHISPER_API struct whisper_context * whisper_init_with_params(struct whisper_model_loader * loader, struct whisper_context_params params);
WHISPER_API struct whisper_context * whisper_init_from_file_with_params (const char * path_model, struct whisper_context_params params);
WHISPER_API struct whisper_context * whisper_init_from_buffer_with_params(void * buffer, size_t buffer_size, struct whisper_context_params params);
WHISPER_API struct whisper_context * whisper_init_with_params (struct whisper_model_loader * loader, struct whisper_context_params params);
// These are the same as the above, but the internal state of the context is not allocated automatically
// It is the responsibility of the caller to allocate the state using whisper_init_state() (#523)
WHISPER_API struct whisper_context * whisper_init_from_file_with_params_no_state(const char * path_model, struct whisper_context_params params);
WHISPER_API struct whisper_context * whisper_init_from_buffer_with_params_no_state(void * buffer, size_t buffer_size, struct whisper_context_params params);
WHISPER_API struct whisper_context * whisper_init_with_params_no_state(struct whisper_model_loader * loader, struct whisper_context_params params);
WHISPER_API struct whisper_context * whisper_init_from_file_with_params_no_state (const char * path_model, struct whisper_context_params params);
WHISPER_API struct whisper_context * whisper_init_from_buffer_with_params_no_state(void * buffer, size_t buffer_size, struct whisper_context_params params);
WHISPER_API struct whisper_context * whisper_init_with_params_no_state (struct whisper_model_loader * loader, struct whisper_context_params params);
WHISPER_DEPRECATED(
WHISPER_API struct whisper_context * whisper_init_from_file(const char * path_model),
@ -400,6 +435,7 @@ extern "C" {
bool translate;
bool no_context; // do not use past transcription (if any) as initial prompt for the decoder
bool no_timestamps; // do not generate timestamps
bool single_segment; // force single segment output (useful for streaming)
bool print_special; // print special tokens (e.g. <SOT>, <EOT>, <BEG>, etc.)
bool print_progress; // print progress information
@ -477,6 +513,11 @@ extern "C" {
// called by each decoder to filter obtained logits
whisper_logits_filter_callback logits_filter_callback;
void * logits_filter_callback_user_data;
const whisper_grammar_element ** grammar_rules;
size_t n_grammar_rules;
size_t i_start_rule;
float grammar_penalty;
};
// NOTE: this function allocates memory, and it is the responsibility of the caller to free the pointer - see whisper_free_context_params & whisper_free_params()
@ -570,8 +611,7 @@ extern "C" {
// Control logging output; default behavior is to print to stderr
typedef void (*whisper_log_callback)(const char * line);
WHISPER_API void whisper_set_log_callback(whisper_log_callback callback);
WHISPER_API void whisper_log_set(ggml_log_callback log_callback, void * user_data);
#ifdef __cplusplus
}