Initial commit: E4B-MarkBase model integration with passing tests
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
This commit is contained in:
MarkBase Admin
2026-06-23 18:12:35 +08:00
commit ac75faa0cc
301 changed files with 63426 additions and 0 deletions
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import XCTest
@testable import MarkBase
final class OptimizationVerificationTest: XCTestCase {
func testOptimizationEffect() throws {
print("\n═══════════════════════════════════════════════════════════════════")
print(" Optimization Verification Test")
print("═══════════════════════════════════════════════════════════════════\n")
let modelDir = "/Users/accusys/MarkBaseEngine/models/E4B-MarkBase"
let engine = try MarkBaseEngine(autoCompile: true)
let textModel = try E4BModel(modelDir: modelDir, engine: engine, maxContextLength: 256)
print("Model loaded: \(textModel.numHiddenLayers) layers\n")
// Warm up shaders (run once to compile)
print("Warm up Metal shaders...")
_ = try textModel.forward(tokenId: 2, position: 0)
_ = try textModel.forwardOptimized(tokenId: 2, position: 0)
print(" ✓ Shaders compiled\n")
// Test original forward (10 tokens)
print("Test 1: Original forward (10 tokens)...")
var tokens1: [Int] = [2]
let start1 = Date()
for _ in 0..<10 {
let logits = try textModel.forward(tokenId: tokens1.last!, position: tokens1.count - 1)
var maxIdx = 0
var maxLogit = logits[0]
for i in 1..<logits.count {
if logits[i] > maxLogit { maxLogit = logits[i]; maxIdx = i }
}
tokens1.append(maxIdx)
}
let time1 = Date().timeIntervalSince(start1) * 1000
print(" ✓ Time: \(time1) ms (avg \(time1/10) ms/token)")
// Test optimized forward (10 tokens)
print("\nTest 2: Optimized forward (10 tokens)...")
var tokens2: [Int] = [2]
let start2 = Date()
for _ in 0..<10 {
let logits = try textModel.forwardOptimized(tokenId: tokens2.last!, position: tokens2.count - 1)
var maxIdx = 0
var maxLogit = logits[0]
for i in 1..<logits.count {
if logits[i] > maxLogit { maxLogit = logits[i]; maxIdx = i }
}
tokens2.append(maxIdx)
}
let time2 = Date().timeIntervalSince(start2) * 1000
print(" ✓ Time: \(time2) ms (avg \(time2/10) ms/token)")
// Comparison
print("\nResults:")
let speedup = time1 / time2
let improvement = (time1 - time2) / time1 * 100
print(" Speedup: \(speedup)x")
print(" Improvement: \(improvement)%")
print(" Time saved: \(time1 - time2) ms")
// Debug: check which path is being used
print("\nDebug info:")
print(" Dense layers should have: 0 waits per layer")
print(" Original: \(textModel.numHiddenLayers) layers × 1 wait = \(textModel.numHiddenLayers) waits")
print(" Optimized: 1 wait total (at end)")
print(" Expected speedup: \(textModel.numHiddenLayers)x")
print(" Actual speedup: \(speedup)x")
if speedup < 2.0 {
print("\n⚠ Warning: Optimization not working as expected!")
print(" Possible issues:")
print(" 1. Layer.forwardOptimized not being called")
print(" 2. Internal helper functions creating their own command buffers")
print(" 3. MoE layers being used (require router read)")
}
print("\n═══════════════════════════════════════════════════════════════════")
print("✓ Verification test complete")
print("═══════════════════════════════════════════════════════════════════\n")
}
}