ac75faa0cc
CI / build-and-test (push) Has been cancelled
- E4B-MarkBase model (42 layers, 4.4GB) loaded successfully - All Phase 1-6 tests passed (model loading, forward pass, vision/audio towers, token generation, performance) - All stress tests passed (5/5 in 127.6s) - Concurrent inference - Memory stress (67.5 tok/s, 0 NaN) - Continuous generation - Batch processing - Long-running stability - Swift Metal inference engine with multimodal support
188 lines
9.8 KiB
Swift
188 lines
9.8 KiB
Swift
import XCTest
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@testable import MarkBase
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final class AudioSeparateTest: XCTestCase {
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func testE2BAudioLoad() throws {
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print("\n═══════════════════════════════════════")
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print(" E2B Audio Load Test (AudioTowerE2B)")
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print("═══════════════════════════════════════\n")
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let modelDir = "/Users/accusys/.cache/huggingface/hub/models--mlx-community--gemma-4-e2b-it-4bit/snapshots/2c3e507453b4f218d05fe3cc97bea5c5a654257e"
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print("Step 1: Create engine...")
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let engine = try MarkBaseEngine(autoCompile: true)
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print(" ✓ Engine created")
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print("\nStep 2: Load AudioTowerE2B...")
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let acfg = loadAudioConfig(modelDir: modelDir)
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guard let reader = try? SafeTensorsReader(path: modelDir + "/model.safetensors") else {
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print(" ✗ No safetensors file")
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throw NSError(domain: "Audio", code: -1, userInfo: [NSLocalizedDescriptionKey: "No safetensors"])
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}
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let loadStart = Date()
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let audioTower = try loadAudioTowerE2B(reader: reader, config: acfg, engine: engine)
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let loadTime = Date().timeIntervalSince(loadStart) * 1000
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print(" ✓ Loaded in \(loadTime) ms")
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print(" Type: AudioTowerE2B (\(audioTower.config.numHiddenLayers) layers)")
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print(" Config: hiddenSize=\(audioTower.config.hiddenSize)")
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print(" Output: \(audioTower.config.outputProjDims)")
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print("\nStep 3: Generate synthetic mel spectrogram...")
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let seqLen = 100
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let nMels = 128
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var melFeatures: [[Float]] = []
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for _ in 0..<seqLen {
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var frame: [Float] = []
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for _ in 0..<nMels {
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frame.append(Float.random(in: -0.5...0.5))
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}
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melFeatures.append(frame)
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}
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print(" ✓ Mel shape: [\(seqLen), \(nMels)]")
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print("\nStep 4: Process audio forward pass...")
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let flatFeatures = melFeatures.flatMap { $0 }
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let inputBuffer = engine.device.makeBuffer(bytes: flatFeatures, length: flatFeatures.count * 4)!
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let outputBuffer = engine.device.makeBuffer(length: seqLen / 4 * audioTower.config.outputProjDims * 4)!
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let forwardStart = Date()
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try audioTower.forward(inputBuffer: inputBuffer, seqLen: seqLen, outputBuffer: outputBuffer)
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let forwardTime = Date().timeIntervalSince(forwardStart) * 1000
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let ptr = outputBuffer.contents().assumingMemoryBound(to: Float.self)
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let output = Array(UnsafeBufferPointer(start: ptr, count: seqLen / 4 * audioTower.config.outputProjDims))
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print(" ✓ Forward pass completed in \(forwardTime) ms")
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print(" Output shape: [\(seqLen / 4), \(audioTower.config.outputProjDims)]")
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print(" Range: [\(output.min() ?? 0), \(output.max() ?? 0)]")
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print(" NaN count: \(output.filter { $0.isNaN }.count)")
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XCTAssertFalse(output.contains { $0.isNaN }, "Audio output should not have NaN")
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print("\n═══════════════════════════════════════")
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print("✓ E2B audio test passed")
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print(" Load: \(loadTime) ms, Forward: \(forwardTime) ms")
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print("═══════════════════════════════════════\n")
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}
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func testE4BAudioLoad() throws {
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print("\n═══════════════════════════════════════")
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print(" E4B Audio Load Test (AudioTowerFull)")
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print("═══════════════════════════════════════\n")
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let modelDir = "/Users/accusys/MarkBaseEngine/models/E4B-MarkBase"
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print("Step 1: Create engine...")
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let engine = try MarkBaseEngine(autoCompile: true)
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print(" ✓ Engine created")
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print("\nStep 2: Load AudioTowerFull...")
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let acfg = loadAudioConfig(modelDir: modelDir)
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guard let reader = try? SafeTensorsReader(path: modelDir + "/model.safetensors") else {
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print(" ✗ No safetensors file")
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throw NSError(domain: "Audio", code: -1, userInfo: [NSLocalizedDescriptionKey: "No safetensors"])
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}
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let loadStart = Date()
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let audioTower = try loadAudioTower(reader: reader, config: acfg, engine: engine)
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let loadTime = Date().timeIntervalSince(loadStart) * 1000
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print(" ✓ Loaded in \(loadTime) ms")
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print(" Type: AudioTowerFull (\(audioTower.config.numHiddenLayers) layers)")
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print(" Config: hiddenSize=\(audioTower.config.hiddenSize)")
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print(" Output: \(audioTower.config.outputProjDims)")
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print("\nStep 3: Generate synthetic mel spectrogram...")
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let seqLen = 100
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let nMels = 128
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var melFeatures: [[Float]] = []
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for _ in 0..<seqLen {
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var frame: [Float] = []
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for _ in 0..<nMels {
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frame.append(Float.random(in: -0.5...0.5))
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}
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melFeatures.append(frame)
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}
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print(" ✓ Mel shape: [\(seqLen), \(nMels)]")
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print("\nStep 4: Process audio forward pass...")
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let flatFeatures = melFeatures.flatMap { $0 }
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let inputBuffer = engine.device.makeBuffer(bytes: flatFeatures, length: flatFeatures.count * 4)!
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let outputBuffer = engine.device.makeBuffer(length: seqLen / 4 * audioTower.config.outputProjDims * 4)!
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let forwardStart = Date()
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try audioTower.forward(inputBuffer: inputBuffer, seqLen: seqLen, outputBuffer: outputBuffer)
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let forwardTime = Date().timeIntervalSince(forwardStart) * 1000
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let ptr = outputBuffer.contents().assumingMemoryBound(to: Float.self)
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let output = Array(UnsafeBufferPointer(start: ptr, count: seqLen / 4 * audioTower.config.outputProjDims))
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print(" ✓ Forward pass completed in \(forwardTime) ms")
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print(" Output shape: [\(seqLen / 4), \(audioTower.config.outputProjDims)]")
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print(" Range: [\(output.min() ?? 0), \(output.max() ?? 0)]")
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print(" NaN count: \(output.filter { $0.isNaN }.count)")
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XCTAssertFalse(output.contains { $0.isNaN }, "Audio output should not have NaN")
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print("\n═══════════════════════════════════════")
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print("✓ E4B audio test passed")
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print(" Load: \(loadTime) ms, Forward: \(forwardTime) ms")
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print("═══════════════════════════════════════\n")
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}
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func test12BAudioLoad() throws {
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print("\n═══════════════════════════════════════")
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print(" 12B Audio Load Test (AudioTower12B)")
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print("═══════════════════════════════════════\n")
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let modelDir = "/Users/accusys/.cache/huggingface/hub/models--mlx-community--gemma-4-12B-it-4bit/snapshots/73bcf09092aa277861d5a191b989b666f7f32e8f"
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print("Step 1: Create engine...")
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let engine = try MarkBaseEngine(autoCompile: true)
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print(" ✓ Engine created")
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print("\nStep 2: Load AudioTower12B...")
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let loadStart = Date()
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let audioTower = try AudioTower12B.load(modelDir: modelDir, engine: engine)
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let loadTime = Date().timeIntervalSince(loadStart) * 1000
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print(" ✓ Loaded in \(loadTime) ms")
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print(" Type: AudioTower12B (projection only)")
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print(" Config: inDim=\(audioTower.config.audioDim), outDim=\(audioTower.config.outputDim)")
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print("\nStep 3: Generate synthetic audio embeddings (640-dim)...")
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let seqLen = 100
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let audioDim = audioTower.config.audioDim
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var audioEmbeds: [Float] = []
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for _ in 0..<seqLen * audioDim {
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audioEmbeds.append(Float.random(in: -0.5...0.5))
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}
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print(" ✓ Audio shape: [\(seqLen), \(audioDim)]")
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print("\nStep 4: Process audio through projection...")
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let inputBuffer = engine.device.makeBuffer(bytes: audioEmbeds, length: audioEmbeds.count * 4)!
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let outputBuffer = engine.device.makeBuffer(length: seqLen * audioTower.config.outputDim * 4)!
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let forwardStart = Date()
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try audioTower.forward(inputBuffer: inputBuffer, seqLen: seqLen, outputBuffer: outputBuffer)
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let forwardTime = Date().timeIntervalSince(forwardStart) * 1000
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let ptr = outputBuffer.contents().assumingMemoryBound(to: Float.self)
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let output = Array(UnsafeBufferPointer(start: ptr, count: seqLen * audioTower.config.outputDim))
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print(" ✓ Forward pass completed in \(forwardTime) ms")
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print(" Output shape: [\(seqLen), \(audioTower.config.outputDim)]")
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print(" Range: [\(output.min() ?? 0), \(output.max() ?? 0)]")
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print(" NaN count: \(output.filter { $0.isNaN }.count)")
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XCTAssertFalse(output.contains { $0.isNaN }, "Audio output should not have NaN")
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print("\n═══════════════════════════════════════")
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print("✓ 12B audio test passed")
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print(" Load: \(loadTime) ms, Forward: \(forwardTime) ms")
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print("═══════════════════════════════════════\n")
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}
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} |