MarkBase Admin
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
57 lines
2.4 KiB
Swift
57 lines
2.4 KiB
Swift
import XCTest
|
|
@testable import MarkBase
|
|
|
|
final class MoEHiddenStateNaNDebugTest: XCTestCase {
|
|
|
|
func testHiddenStateNaNDebug() throws {
|
|
print("\n═══════════════════════════════════════")
|
|
print(" Hidden State NaN Debug (Layer 5)")
|
|
print("═══════════════════════════════════════\n")
|
|
|
|
let modelDir = "/Users/accusys/MarkBaseEngine/models/gemma-4-26b-a4b-it-4bit"
|
|
|
|
print("Step 1: Load model...")
|
|
fflush(stdout)
|
|
let engine = try MarkBaseEngine(autoCompile: true)
|
|
let model = try E4BModel(modelDir: modelDir, engine: engine, maxContextLength: 32)
|
|
print(" ✓ Model loaded")
|
|
fflush(stdout)
|
|
|
|
// Get Layer 5 info
|
|
print("\nStep 2: Layer 5 info...")
|
|
fflush(stdout)
|
|
let layer5 = model.layers[5]
|
|
print(" Layer 5: isFull=\(layer5.config.isSliding ? false : true), headDim=\(layer5.config.headDim), nKvHeads=\(layer5.config.nKvHeads)")
|
|
print(" Layer 5: useMoE=\(layer5.useMoE)")
|
|
print(" Layer 5: routerScale=\(layer5.routerScale)")
|
|
fflush(stdout)
|
|
|
|
print("\nStep 3: Run forward with monitoring...")
|
|
fflush(stdout)
|
|
|
|
let h = model.temps.io
|
|
let hs = model.hiddenSize
|
|
|
|
// Run first token
|
|
let _ = try model.forward(tokenId: 10979, position: 0, debug: true)
|
|
|
|
// Check hidden state after each layer
|
|
print("\n Hidden state after each layer:")
|
|
fflush(stdout)
|
|
|
|
let hiddenVals = engine.readFloats(from: h, count: min(20, hs))
|
|
let maxVal = hiddenVals.max() ?? 0
|
|
let minVal = hiddenVals.min() ?? 0
|
|
let hasNaN = hiddenVals.contains { $0.isNaN }
|
|
|
|
print(" After all layers: max=\(maxVal), min=\(minVal), hasNaN=\(hasNaN)")
|
|
print(" Hidden sample: \(hiddenVals[0..<min(10, hs)])")
|
|
fflush(stdout)
|
|
|
|
print("\n═══════════════════════════════════════")
|
|
print("✓ NaN debug completed")
|
|
print("═══════════════════════════════════════\n")
|
|
fflush(stdout)
|
|
}
|
|
}
|