whisper.swiftui : add model download list & bench methods (#2546)

* swift : fix resources & exclude build

* whisper : impl whisper_timings struct & api

* whisper.swiftui : model list & bench methods

* whisper : return ptr for whisper_get_timings

* revert unnecessary change

* whisper : avoid designated initializer

* whisper.swiftui: code style changes

* whisper.swiftui : get device name / os from UIDevice

* whisper.swiftui : fix UIDevice usage

* whisper.swiftui : add memcpy and ggml_mul_mat (commented)
This commit is contained in:
Jhen-Jie Hong 2024-11-14 03:51:34 +08:00 committed by GitHub
parent a28d82e373
commit 5f8a086e22
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
9 changed files with 403 additions and 19 deletions

View File

@ -18,16 +18,17 @@ let package = Package(
name: "whisper",
path: ".",
exclude: [
"build",
"bindings",
"cmake",
"coreml",
"examples",
"extra",
"scripts",
"models",
"samples",
"tests",
"CMakeLists.txt",
"Makefile"
"Makefile",
"ggml/src/ggml-metal-embed.metal"
],
sources: [
"ggml/src/ggml.c",
@ -38,7 +39,7 @@ let package = Package(
"ggml/src/ggml-quants.c",
"ggml/src/ggml-metal.m"
],
resources: [.process("ggml-metal.metal")],
resources: [.process("ggml/src/ggml-metal.metal")],
publicHeadersPath: "spm-headers",
cSettings: [
.unsafeFlags(["-Wno-shorten-64-to-32", "-O3", "-DNDEBUG"]),

View File

@ -1,4 +1,5 @@
import Foundation
import UIKit
import whisper
enum WhisperError: Error {
@ -55,11 +56,93 @@ actor WhisperContext {
return transcription
}
static func benchMemcpy(nThreads: Int32) async -> String {
return String.init(cString: whisper_bench_memcpy_str(nThreads))
}
static func benchGgmlMulMat(nThreads: Int32) async -> String {
return String.init(cString: whisper_bench_ggml_mul_mat_str(nThreads))
}
private func systemInfo() -> String {
var info = ""
if (ggml_cpu_has_neon() != 0) { info += "NEON " }
if (ggml_cpu_has_metal() != 0) { info += "METAL " }
if (ggml_cpu_has_blas() != 0) { info += "BLAS " }
return String(info.dropLast())
}
func benchFull(modelName: String, nThreads: Int32) async -> String {
let nMels = whisper_model_n_mels(context)
if (whisper_set_mel(context, nil, 0, nMels) != 0) {
return "error: failed to set mel"
}
// heat encoder
if (whisper_encode(context, 0, nThreads) != 0) {
return "error: failed to encode"
}
var tokens = [whisper_token](repeating: 0, count: 512)
// prompt heat
if (whisper_decode(context, &tokens, 256, 0, nThreads) != 0) {
return "error: failed to decode"
}
// text-generation heat
if (whisper_decode(context, &tokens, 1, 256, nThreads) != 0) {
return "error: failed to decode"
}
whisper_reset_timings(context)
// actual run
if (whisper_encode(context, 0, nThreads) != 0) {
return "error: failed to encode"
}
// text-generation
for i in 0..<256 {
if (whisper_decode(context, &tokens, 1, Int32(i), nThreads) != 0) {
return "error: failed to decode"
}
}
// batched decoding
for _ in 0..<64 {
if (whisper_decode(context, &tokens, 5, 0, nThreads) != 0) {
return "error: failed to decode"
}
}
// prompt processing
for _ in 0..<16 {
if (whisper_decode(context, &tokens, 256, 0, nThreads) != 0) {
return "error: failed to decode"
}
}
whisper_print_timings(context)
let deviceModel = await UIDevice.current.model
let systemName = await UIDevice.current.systemName
let systemInfo = self.systemInfo()
let timings: whisper_timings = whisper_get_timings(context).pointee
let encodeMs = String(format: "%.2f", timings.encode_ms)
let decodeMs = String(format: "%.2f", timings.decode_ms)
let batchdMs = String(format: "%.2f", timings.batchd_ms)
let promptMs = String(format: "%.2f", timings.prompt_ms)
return "| \(deviceModel) | \(systemName) | \(systemInfo) | \(modelName) | \(nThreads) | 1 | \(encodeMs) | \(decodeMs) | \(batchdMs) | \(promptMs) | <todo> |"
}
static func createContext(path: String) throws -> WhisperContext {
var params = whisper_context_default_params()
#if targetEnvironment(simulator)
params.use_gpu = false
print("Running on the simulator, using CPU")
#else
params.flash_attn = true // Enabled by default for Metal
#endif
let context = whisper_init_from_file_with_params(path, params)
if let context {

View File

@ -0,0 +1,17 @@
import Foundation
struct Model: Identifiable {
var id = UUID()
var name: String
var info: String
var url: String
var filename: String
var fileURL: URL {
FileManager.default.urls(for: .documentDirectory, in: .userDomainMask)[0].appendingPathComponent(filename)
}
func fileExists() -> Bool {
FileManager.default.fileExists(atPath: fileURL.path)
}
}

View File

@ -14,7 +14,7 @@ class WhisperState: NSObject, ObservableObject, AVAudioRecorderDelegate {
private var recordedFile: URL? = nil
private var audioPlayer: AVAudioPlayer?
private var modelUrl: URL? {
private var builtInModelUrl: URL? {
Bundle.main.url(forResource: "ggml-base.en", withExtension: "bin", subdirectory: "models")
}
@ -28,23 +28,59 @@ class WhisperState: NSObject, ObservableObject, AVAudioRecorderDelegate {
override init() {
super.init()
loadModel()
}
func loadModel(path: URL? = nil, log: Bool = true) {
do {
try loadModel()
whisperContext = nil
if (log) { messageLog += "Loading model...\n" }
let modelUrl = path ?? builtInModelUrl
if let modelUrl {
whisperContext = try WhisperContext.createContext(path: modelUrl.path())
if (log) { messageLog += "Loaded model \(modelUrl.lastPathComponent)\n" }
} else {
if (log) { messageLog += "Could not locate model\n" }
}
canTranscribe = true
} catch {
print(error.localizedDescription)
messageLog += "\(error.localizedDescription)\n"
if (log) { messageLog += "\(error.localizedDescription)\n" }
}
}
private func loadModel() throws {
messageLog += "Loading model...\n"
if let modelUrl {
whisperContext = try WhisperContext.createContext(path: modelUrl.path())
messageLog += "Loaded model \(modelUrl.lastPathComponent)\n"
} else {
messageLog += "Could not locate model\n"
func benchCurrentModel() async {
if whisperContext == nil {
messageLog += "Cannot bench without loaded model\n"
return
}
messageLog += "Running benchmark for loaded model\n"
let result = await whisperContext?.benchFull(modelName: "<current>", nThreads: Int32(min(4, cpuCount())))
if (result != nil) { messageLog += result! + "\n" }
}
func bench(models: [Model]) async {
let nThreads = Int32(min(4, cpuCount()))
// messageLog += "Running memcpy benchmark\n"
// messageLog += await WhisperContext.benchMemcpy(nThreads: nThreads) + "\n"
//
// messageLog += "Running ggml_mul_mat benchmark with \(nThreads) threads\n"
// messageLog += await WhisperContext.benchGgmlMulMat(nThreads: nThreads) + "\n"
messageLog += "Running benchmark for all downloaded models\n"
messageLog += "| CPU | OS | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |\n"
messageLog += "| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n"
for model in models {
loadModel(path: model.fileURL, log: false)
if whisperContext == nil {
messageLog += "Cannot bench without loaded model\n"
break
}
let result = await whisperContext?.benchFull(modelName: model.name, nThreads: nThreads)
if (result != nil) { messageLog += result! + "\n" }
}
messageLog += "Benchmarking completed\n"
}
func transcribeSample() async {
@ -160,3 +196,8 @@ class WhisperState: NSObject, ObservableObject, AVAudioRecorderDelegate {
isRecording = false
}
}
fileprivate func cpuCount() -> Int {
ProcessInfo.processInfo.processorCount
}

View File

@ -1,5 +1,6 @@
import SwiftUI
import AVFoundation
import Foundation
struct ContentView: View {
@StateObject var whisperState = WhisperState()
@ -29,15 +30,125 @@ struct ContentView: View {
Text(verbatim: whisperState.messageLog)
.frame(maxWidth: .infinity, alignment: .leading)
}
.font(.footnote)
.padding()
.background(Color.gray.opacity(0.1))
.cornerRadius(10)
HStack {
Button("Clear Logs", action: {
whisperState.messageLog = ""
})
.font(.footnote)
.buttonStyle(.bordered)
Button("Copy Logs", action: {
UIPasteboard.general.string = whisperState.messageLog
})
.font(.footnote)
.buttonStyle(.bordered)
Button("Bench", action: {
Task {
await whisperState.benchCurrentModel()
}
})
.font(.footnote)
.buttonStyle(.bordered)
.disabled(!whisperState.canTranscribe)
Button("Bench All", action: {
Task {
await whisperState.bench(models: ModelsView.getDownloadedModels())
}
})
.font(.footnote)
.buttonStyle(.bordered)
.disabled(!whisperState.canTranscribe)
}
NavigationLink(destination: ModelsView(whisperState: whisperState)) {
Text("View Models")
}
.font(.footnote)
.padding()
}
.navigationTitle("Whisper SwiftUI Demo")
.padding()
}
}
}
struct ContentView_Previews: PreviewProvider {
static var previews: some View {
ContentView()
struct ModelsView: View {
@ObservedObject var whisperState: WhisperState
@Environment(\.dismiss) var dismiss
private static let models: [Model] = [
Model(name: "tiny", info: "(F16, 75 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny.bin", filename: "tiny.bin"),
Model(name: "tiny-q5_1", info: "(31 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny-q5_1.bin", filename: "tiny-q5_1.bin"),
Model(name: "tiny-q8_0", info: "(42 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny-q8_0.bin", filename: "tiny-q8_0.bin"),
Model(name: "tiny.en", info: "(F16, 75 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny.en.bin", filename: "tiny.en.bin"),
Model(name: "tiny.en-q5_1", info: "(31 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny.en-q5_1.bin", filename: "tiny.en-q5_1.bin"),
Model(name: "tiny.en-q8_0", info: "(42 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny.en-q8_0.bin", filename: "tiny.en-q8_0.bin"),
Model(name: "base", info: "(F16, 142 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.bin", filename: "base.bin"),
Model(name: "base-q5_1", info: "(57 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base-q5_1.bin", filename: "base-q5_1.bin"),
Model(name: "base-q8_0", info: "(78 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base-q8_0.bin", filename: "base-q8_0.bin"),
Model(name: "base.en", info: "(F16, 142 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin", filename: "base.en.bin"),
Model(name: "base.en-q5_1", info: "(57 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en-q5_1.bin", filename: "base.en-q5_1.bin"),
Model(name: "base.en-q8_0", info: "(78 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en-q8_0.bin", filename: "base.en-q8_0.bin"),
Model(name: "small", info: "(F16, 466 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-small.bin", filename: "small.bin"),
Model(name: "small-q5_1", info: "(181 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-small-q5_1.bin", filename: "small-q5_1.bin"),
Model(name: "small-q8_0", info: "(252 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-small-q8_0.bin", filename: "small-q8_0.bin"),
Model(name: "small.en", info: "(F16, 466 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-small.en.bin", filename: "small.en.bin"),
Model(name: "small.en-q5_1", info: "(181 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-small.en-q5_1.bin", filename: "small.en-q5_1.bin"),
Model(name: "small.en-q8_0", info: "(252 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-small.en-q8_0.bin", filename: "small.en-q8_0.bin"),
Model(name: "medium", info: "(F16, 1.5 GiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-medium.bin", filename: "medium.bin"),
Model(name: "medium-q5_0", info: "(514 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-medium-q5_0.bin", filename: "medium-q5_0.bin"),
Model(name: "medium-q8_0", info: "(785 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-medium-q8_0.bin", filename: "medium-q8_0.bin"),
Model(name: "medium.en", info: "(F16, 1.5 GiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-medium.en.bin", filename: "medium.en.bin"),
Model(name: "medium.en-q5_0", info: "(514 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-medium.en-q5_0.bin", filename: "medium.en-q5_0.bin"),
Model(name: "medium.en-q8_0", info: "(785 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-medium.en-q8_0.bin", filename: "medium.en-q8_0.bin"),
Model(name: "large-v1", info: "(F16, 2.9 GiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-large.bin", filename: "large.bin"),
Model(name: "large-v2", info: "(F16, 2.9 GiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-large-v2.bin", filename: "large-v2.bin"),
Model(name: "large-v2-q5_0", info: "(1.1 GiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-large-v2-q5_0.bin", filename: "large-v2-q5_0.bin"),
Model(name: "large-v2-q8_0", info: "(1.5 GiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-large-v2-q8_0.bin", filename: "large-v2-q8_0.bin"),
Model(name: "large-v3", info: "(F16, 2.9 GiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-large-v3.bin", filename: "large-v3.bin"),
Model(name: "large-v3-q5_0", info: "(1.1 GiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-large-v3-q5_0.bin", filename: "large-v3-q5_0.bin"),
Model(name: "large-v3-turbo", info: "(F16, 1.5 GiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-large-v3-turbo.bin", filename: "large-v3-turbo.bin"),
Model(name: "large-v3-turbo-q5_0", info: "(547 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-large-v3-turbo-q5_0.bin", filename: "large-v3-turbo-q5_0.bin"),
Model(name: "large-v3-turbo-q8_0", info: "(834 MiB)", url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-large-v3-turbo-q8_0.bin", filename: "large-v3-turbo-q8_0.bin"),
]
static func getDownloadedModels() -> [Model] {
// Filter models that have been downloaded
return models.filter {
FileManager.default.fileExists(atPath: $0.fileURL.path())
}
}
func loadModel(model: Model) {
Task {
dismiss()
whisperState.loadModel(path: model.fileURL)
}
}
var body: some View {
List {
Section(header: Text("Models")) {
ForEach(ModelsView.models) { model in
DownloadButton(model: model)
.onLoad(perform: loadModel)
}
}
}
.listStyle(GroupedListStyle())
.navigationBarTitle("Models", displayMode: .inline).toolbar {}
}
}
}
//struct ContentView_Previews: PreviewProvider {
// static var previews: some View {
// ContentView()
// }
//}

View File

@ -0,0 +1,102 @@
import SwiftUI
struct DownloadButton: View {
private var model: Model
@State private var status: String
@State private var downloadTask: URLSessionDownloadTask?
@State private var progress = 0.0
@State private var observation: NSKeyValueObservation?
private var onLoad: ((_ model: Model) -> Void)?
init(model: Model) {
self.model = model
status = model.fileExists() ? "downloaded" : "download"
}
func onLoad(perform action: @escaping (_ model: Model) -> Void) -> DownloadButton {
var button = self
button.onLoad = action
return button
}
private func download() {
status = "downloading"
print("Downloading model \(model.name) from \(model.url)")
guard let url = URL(string: model.url) else { return }
downloadTask = URLSession.shared.downloadTask(with: url) { temporaryURL, response, error in
if let error = error {
print("Error: \(error.localizedDescription)")
return
}
guard let response = response as? HTTPURLResponse, (200...299).contains(response.statusCode) else {
print("Server error!")
return
}
do {
if let temporaryURL = temporaryURL {
try FileManager.default.copyItem(at: temporaryURL, to: model.fileURL)
print("Writing to \(model.filename) completed")
status = "downloaded"
}
} catch let err {
print("Error: \(err.localizedDescription)")
}
}
observation = downloadTask?.progress.observe(\.fractionCompleted) { progress, _ in
self.progress = progress.fractionCompleted
}
downloadTask?.resume()
}
var body: some View {
VStack {
Button(action: {
if (status == "download") {
download()
} else if (status == "downloading") {
downloadTask?.cancel()
status = "download"
} else if (status == "downloaded") {
if !model.fileExists() {
download()
}
onLoad?(model)
}
}) {
let title = "\(model.name) \(model.info)"
if (status == "download") {
Text("Download \(title)")
} else if (status == "downloading") {
Text("\(title) (Downloading \(Int(progress * 100))%)")
} else if (status == "downloaded") {
Text("Load \(title)")
} else {
Text("Unknown status")
}
}.swipeActions {
if (status == "downloaded") {
Button("Delete") {
do {
try FileManager.default.removeItem(at: model.fileURL)
} catch {
print("Error deleting file: \(error)")
}
status = "download"
}
.tint(.red)
}
}
}
.onDisappear() {
downloadTask?.cancel()
}
}
}

View File

@ -17,6 +17,8 @@
0AAC5D9F29539CD0003032C3 /* Assets.xcassets in Resources */ = {isa = PBXBuildFile; fileRef = 0AAC5D9E29539CD0003032C3 /* Assets.xcassets */; };
0AAC5DCE2953A05C003032C3 /* WhisperState.swift in Sources */ = {isa = PBXBuildFile; fileRef = 0AAC5DCD2953A05C003032C3 /* WhisperState.swift */; };
0AAC5DD12953A394003032C3 /* LibWhisper.swift in Sources */ = {isa = PBXBuildFile; fileRef = 0AAC5DD02953A394003032C3 /* LibWhisper.swift */; };
7F79E0EE2CE0A78000ACD7BF /* DownloadButton.swift in Sources */ = {isa = PBXBuildFile; fileRef = 7F79E0ED2CE0A78000ACD7BF /* DownloadButton.swift */; };
7F79E0F02CE0C6F700ACD7BF /* Model.swift in Sources */ = {isa = PBXBuildFile; fileRef = 7F79E0EF2CE0C6F700ACD7BF /* Model.swift */; };
E3F92DC52AFA8E3800A6A9D4 /* whisper in Frameworks */ = {isa = PBXBuildFile; productRef = E3F92DC42AFA8E3800A6A9D4 /* whisper */; };
/* End PBXBuildFile section */
@ -33,6 +35,8 @@
0AAC5DA029539CD0003032C3 /* WhisperCppDemo.entitlements */ = {isa = PBXFileReference; lastKnownFileType = text.plist.entitlements; path = WhisperCppDemo.entitlements; 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>"; };
7F79E0ED2CE0A78000ACD7BF /* DownloadButton.swift */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.swift; path = DownloadButton.swift; sourceTree = "<group>"; };
7F79E0EF2CE0C6F700ACD7BF /* Model.swift */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.swift; path = Model.swift; sourceTree = "<group>"; };
E3F92DC22AFA8DD800A6A9D4 /* whisper.cpp */ = {isa = PBXFileReference; lastKnownFileType = wrapper; name = whisper.cpp; path = ../..; sourceTree = "<group>"; };
/* End PBXFileReference section */
@ -52,6 +56,7 @@
isa = PBXGroup;
children = (
0AAC5DCD2953A05C003032C3 /* WhisperState.swift */,
7F79E0EF2CE0C6F700ACD7BF /* Model.swift */,
);
path = Models;
sourceTree = "<group>";
@ -119,6 +124,7 @@
isa = PBXGroup;
children = (
0AAC5D9C29539CCF003032C3 /* ContentView.swift */,
7F79E0ED2CE0A78000ACD7BF /* DownloadButton.swift */,
);
path = UI;
sourceTree = "<group>";
@ -220,7 +226,9 @@
0AAC5DCE2953A05C003032C3 /* WhisperState.swift in Sources */,
0AAC5DD12953A394003032C3 /* LibWhisper.swift in Sources */,
0AA7514C2953B569001EE061 /* RiffWaveUtils.swift in Sources */,
7F79E0EE2CE0A78000ACD7BF /* DownloadButton.swift in Sources */,
0AA7514E2953D958001EE061 /* Recorder.swift in Sources */,
7F79E0F02CE0C6F700ACD7BF /* Model.swift in Sources */,
);
runOnlyForDeploymentPostprocessing = 0;
};

View File

@ -423,6 +423,14 @@ extern "C" {
WHISPER_API whisper_token whisper_token_transcribe(struct whisper_context * ctx);
// Performance information from the default state.
struct whisper_timings {
float sample_ms;
float encode_ms;
float decode_ms;
float batchd_ms;
float prompt_ms;
};
WHISPER_API struct whisper_timings * whisper_get_timings(struct whisper_context * ctx);
WHISPER_API void whisper_print_timings(struct whisper_context * ctx);
WHISPER_API void whisper_reset_timings(struct whisper_context * ctx);

View File

@ -4186,6 +4186,19 @@ whisper_token whisper_token_transcribe(struct whisper_context * ctx) {
return ctx->vocab.token_transcribe;
}
struct whisper_timings * whisper_get_timings(struct whisper_context * ctx) {
if (ctx->state == nullptr) {
return nullptr;
}
whisper_timings * timings = new whisper_timings;
timings->sample_ms = 1e-3f * ctx->state->t_sample_us / std::max(1, ctx->state->n_sample);
timings->encode_ms = 1e-3f * ctx->state->t_encode_us / std::max(1, ctx->state->n_encode);
timings->decode_ms = 1e-3f * ctx->state->t_decode_us / std::max(1, ctx->state->n_decode);
timings->batchd_ms = 1e-3f * ctx->state->t_batchd_us / std::max(1, ctx->state->n_batchd);
timings->prompt_ms = 1e-3f * ctx->state->t_prompt_us / std::max(1, ctx->state->n_prompt);
return timings;
}
void whisper_print_timings(struct whisper_context * ctx) {
const int64_t t_end_us = ggml_time_us();