MarkBase Admin
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- 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
94 lines
3.7 KiB
Swift
94 lines
3.7 KiB
Swift
import XCTest
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@testable import MarkBase
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final class GenerationNaNTest: XCTestCase {
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func test26BA4BGenerationNoNaN() throws {
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print("\n" + String(repeating: "=", count: 60))
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print("26B-A4B Generation NaN Test - Final Verification")
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print(String(repeating: "=", count: 60))
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let modelDir = "/Users/accusys/MarkBaseEngine/models/gemma-4-26b-a4b-it-4bit"
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let engine = try MarkBaseEngine(autoCompile: true)
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let model = try E4BModel(modelDir: modelDir, engine: engine, maxContextLength: 128)
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print("\nModel loaded successfully")
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// Run generation like the original test
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let inputIds: [Int32] = [1, 3234, 357, 659, 198]
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print("\nRunning generation with input: \(inputIds)")
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do {
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// Process input tokens
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for (index, tokenId) in inputIds.enumerated() {
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let _ = try model.forward(tokenId: Int(tokenId), position: index)
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}
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print("\nInput tokens processed, generating new tokens...")
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// Generate new tokens
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var generatedTokens: [Int32] = []
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var lastToken = inputIds.last!
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for i in 0..<5 {
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let logits = try model.forward(tokenId: Int(lastToken), position: inputIds.count + i)
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let logitsNaNCount = logits.filter { $0.isNaN }.count
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print(" Generated token \(i): logits NaN count = \(logitsNaNCount)")
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if logitsNaNCount > 0 {
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print("ERROR: NaN detected during generation!")
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break
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}
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// Sample next token (simple argmax)
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let maxIdx = logits.enumerated().max(by: { $0.element < $1.element })!.offset
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generatedTokens.append(Int32(maxIdx))
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lastToken = Int32(maxIdx)
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}
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print("\n✓ Generation completed successfully!")
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print("Generated tokens: \(generatedTokens)")
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print("No NaN detected in any forward pass!")
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} catch {
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print("Generation failed: \(error)")
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}
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print("\n" + String(repeating: "=", count: 60))
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}
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func testGenerationPerformance() throws {
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print("\n" + String(repeating: "=", count: 60))
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print("26B-A4B Performance Benchmark")
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print(String(repeating: "=", count: 60))
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let modelDir = "/Users/accusys/MarkBaseEngine/models/gemma-4-26b-a4b-it-4bit"
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let engine = try MarkBaseEngine(autoCompile: true)
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let model = try E4BModel(modelDir: modelDir, engine: engine, maxContextLength: 128)
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let inputIds: [Int32] = [1, 3234, 357, 659, 198]
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// Benchmark generation
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let start = Date()
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for (index, tokenId) in inputIds.enumerated() {
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_ = try model.forward(tokenId: Int(tokenId), position: index)
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}
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// Generate 5 new tokens
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var lastToken = inputIds.last!
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for i in 0..<5 {
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let logits = try model.forward(tokenId: Int(lastToken), position: inputIds.count + i)
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let maxIdx = logits.enumerated().max(by: { $0.element < $1.element })!.offset
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lastToken = Int32(maxIdx)
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}
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let elapsed = Date().timeIntervalSince(start)
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let totalTokens = inputIds.count + 5
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let speed = Double(totalTokens) / elapsed
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print("\n✓ Generated \(totalTokens) tokens in \(String(format: "%.3f", elapsed))s")
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print("✓ Speed: \(String(format: "%.2f", speed)) tok/s")
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print("\n" + String(repeating: "=", count: 60))
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}
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} |