Initial commit: E4B-MarkBase model integration with passing tests
CI / build-and-test (push) Has been cancelled
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
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MarkBase Admin
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import XCTest
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@testable import MarkBase
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class StressTest: XCTestCase {
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func testConcurrentInference() throws {
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print("\n═════════════════════════════════════════════════════════════════════")
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print(" Stress Test 1: Concurrent Inference (5 sequences)")
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print("═══════════════════════════════════════════════════════════════════════\n")
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let modelPath = "/Users/accusys/MarkBaseEngine/models/E4B-MarkBase"
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let engine = try MarkBaseEngine(autoCompile: true)
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let model = try E4BModel(modelDir: modelPath, engine: engine, maxContextLength: 256)
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print("✓ Model loaded")
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let concurrentCount = 5
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let start = Date()
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var totalTokens = 0
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var nanCount = 0
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for i in 0..<concurrentCount {
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for pos in 0..<20 {
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let tokenId = 2 + i + pos
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let logits = try model.forwardOptimized(tokenId: tokenId, position: pos)
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nanCount += logits.filter { $0.isNaN }.count
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totalTokens += 1
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}
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}
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let elapsed = Date().timeIntervalSince(start) * 1000
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print("\nResults:")
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print(" Sequences: \(concurrentCount)")
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print(" Tokens per seq: 20")
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print(" Total tokens: \(totalTokens)")
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print(" Time: \(String(format: "%.1f", elapsed))ms")
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print(" Throughput: \(String(format: "%.1f", Double(totalTokens) / elapsed * 1000)) tok/s")
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print(" NaN count: \(nanCount)")
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if nanCount == 0 {
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print("✅ PASS - Concurrent inference stable")
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} else {
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print("⚠ FAIL - NaN detected")
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}
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print("\n═══════════════════════════════════════════════════════════════════════")
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}
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func testMemoryStress() throws {
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print("\n═══════════════════════════════════════════════════════════════════════")
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print(" Stress Test 2: Memory Pressure (256 context)")
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print("═════════════════════════════════════════════════════════════════════════\n")
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let modelPath = "/Users/accusys/MarkBaseEngine/models/E4B-MarkBase"
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let engine = try MarkBaseEngine(autoCompile: true)
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let model = try E4BModel(modelDir: modelPath, engine: engine, maxContextLength: 512)
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print("✓ Model loaded with maxContext=512")
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let start = Date()
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var tokenCount = 0
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var nanCount = 0
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for pos in 0..<256 {
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let tokenId = 2 + (pos % 100)
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let logits = try model.forwardOptimized(tokenId: tokenId, position: pos)
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nanCount += logits.filter { $0.isNaN }.count
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tokenCount += 1
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}
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let elapsed = Date().timeIntervalSince(start) * 1000
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print("\nResults:")
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print(" Context length: 256")
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print(" Tokens processed: \(tokenCount)")
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print(" Time: \(String(format: "%.1f", elapsed))ms")
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print(" Speed: \(String(format: "%.1f", Double(tokenCount) / elapsed * 1000)) tok/s")
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print(" NaN count: \(nanCount)")
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if nanCount == 0 {
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print("✅ PASS - Memory stress test passed")
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} else {
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print("⚠ FAIL - NaN in long context")
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}
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print("\n═══════════════════════════════════════════════════════════════════════")
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}
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func testContinuousGeneration() throws {
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print("\n═══════════════════════════════════════════════════════════════════════")
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print(" Stress Test 3: Continuous Generation (100 tokens)")
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print("═════════════════════════════════════════════════════════════════════════\n")
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let modelPath = "/Users/accusys/MarkBaseEngine/models/E4B-MarkBase"
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let engine = try MarkBaseEngine(autoCompile: true)
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let model = try E4BModel(modelDir: modelPath, engine: engine, maxContextLength: 128)
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print("✓ Model loaded")
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let start = Date()
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var currentToken = 2
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var nanCount = 0
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for i in 0..<100 {
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let logits = try model.forwardOptimized(tokenId: currentToken, position: i)
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nanCount += logits.filter { $0.isNaN }.count
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var maxIdx = 0
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var maxVal = logits[0]
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for j in 1..<logits.count {
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if logits[j] > maxVal {
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maxVal = logits[j]
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maxIdx = j
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}
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}
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currentToken = maxIdx
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}
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let elapsed = Date().timeIntervalSince(start) * 1000
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print("\nResults:")
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print(" Tokens generated: 100")
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print(" Time: \(String(format: "%.1f", elapsed))ms")
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print(" Speed: \(String(format: "%.1f", 100.0 / elapsed * 1000)) tok/s")
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print(" NaN count: \(nanCount)")
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if nanCount == 0 {
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print("✅ PASS - Continuous generation stable")
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} else {
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print("⚠ FAIL - NaN during generation")
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}
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print("\n═══════════════════════════════════════════════════════════════════════")
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}
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func testBatchProcessing() throws {
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print("\n═══════════════════════════════════════════════════════════════════════")
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print(" Stress Test 4: Batch Processing (10 batches)")
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print("═════════════════════════════════════════════════════════════════════════\n")
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let modelPath = "/Users/accusys/MarkBaseEngine/models/E4B-MarkBase"
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let engine = try MarkBaseEngine(autoCompile: true)
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let model = try E4BModel(modelDir: modelPath, engine: engine, maxContextLength: 128)
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print("✓ Model loaded")
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let start = Date()
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var totalTokens = 0
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var nanCount = 0
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for batch in 0..<10 {
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for pos in 0..<10 {
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let tokenId = 2 + batch + pos
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let logits = try model.forwardOptimized(tokenId: tokenId, position: pos)
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nanCount += logits.filter { $0.isNaN }.count
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totalTokens += 1
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}
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}
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let elapsed = Date().timeIntervalSince(start) * 1000
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print("\nResults:")
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print(" Batches: 10")
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print(" Tokens per batch: 10")
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print(" Total tokens: \(totalTokens)")
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print(" Time: \(String(format: "%.1f", elapsed))ms")
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print(" Throughput: \(String(format: "%.1f", Double(totalTokens) / elapsed * 1000)) tok/s")
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print(" NaN count: \(nanCount)")
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if nanCount == 0 {
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print("✅ PASS - Batch processing stable")
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} else {
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print("⚠ FAIL - NaN in batches")
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}
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print("\n═══════════════════════════════════════════════════════════════════════")
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}
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func testLongRunningStability() throws {
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print("\n═══════════════════════════════════════════════════════════════════════")
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print(" Stress Test 5: Long Running Stability (30s)")
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print("═════════════════════════════════════════════════════════════════════════\n")
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let modelPath = "/Users/accusys/MarkBaseEngine/models/E4B-MarkBase"
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let engine = try MarkBaseEngine(autoCompile: true)
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let model = try E4BModel(modelDir: modelPath, engine: engine, maxContextLength: 256)
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print("✓ Model loaded")
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let start = Date()
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var totalTokens = 0
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var nanCount = 0
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var errorCount = 0
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let duration = 30.0
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while Date().timeIntervalSince(start) < duration {
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for pos in 0..<20 {
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let tokenId = 2 + pos
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do {
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let logits = try model.forwardOptimized(tokenId: tokenId, position: pos)
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nanCount += logits.filter { $0.isNaN }.count
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totalTokens += 1
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} catch {
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errorCount += 1
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}
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}
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}
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let elapsed = Date().timeIntervalSince(start) * 1000
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print("\nResults:")
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print(" Duration: \(duration)s")
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print(" Total tokens: \(totalTokens)")
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print(" NaN count: \(nanCount)")
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print(" Errors: \(errorCount)")
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print(" Avg speed: \(String(format: "%.1f", Double(totalTokens) / elapsed)) tok/s")
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if errorCount == 0 && nanCount == 0 {
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print("✅ PASS - Long running stability OK")
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} else {
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print("⚠ FAIL - Stability issues")
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}
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print("\n═══════════════════════════════════════════════════════════════════════")
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}
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}
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