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
43 lines
3.6 KiB
Swift
43 lines
3.6 KiB
Swift
import XCTest
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@testable import MarkBase
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final class VisionSummaryTest: XCTestCase {
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func testVisionSummary() throws {
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print("\n═══════════════════════════════════════════════════════════════════")
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print(" Vision Tower Comparison Summary")
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print("═══════════════════════════════════════════════════════════════════\n")
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print("Based on previous test results (run separately):\n")
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print("┌─────────┬──────────────────────┬─────────────┬───────────┬───────────┬──────────┬───────────┐")
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print("│ Model │ Vision Tower Type │ Hidden Dim │ Patch Dim │ Output Dim│ Layers │ Load(ms) │")
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print("├─────────┼──────────────────────┼─────────────┼───────────┼───────────┼──────────┼───────────┤")
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print(String(format: "│ %-7s │ %-20s │ %-11d │ %-9s │ %-9d │ %-8d │ %-8.1f │", "E2B", "VisionTowerE2B", 768, "N/A", 2560, 16, 39919.0))
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print(String(format: "│ %-7s │ %-20s │ %-11d │ %-9d │ %-9d │ %-8d │ %-8.1f │", "E4B", "VisionTowerFull", 768, 768, 2560, 16, 16653.0))
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print(String(format: "│ %-7s │ %-20s │ %-11d │ %-9d │ %-9d │ %-8s │ %-8.1f │", "12B", "VisionTower12B", 3840, 6912, 3840, "simplified", 646.4))
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print("└─────────┴──────────────────────┴─────────────┴───────────┴───────────┴──────────┴───────────┘")
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print()
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print("Weight Format:")
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print(" E2B: bfloat16 linear.weights + input_min/max (dynamic quantization)")
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print(" E4B: uint32 packed weights + scales/biases (static quantization)")
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print(" 12B: uint32 packed weights + scales/biases (simplified projection only)")
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print()
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print("Load Time Comparison:")
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print(" E2B vs E4B: 2.4x slower (bfloat16 vs uint32 quantized)")
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print(" E4B vs 12B: 26x slower (16-layer full tower vs simplified projection)")
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print(" E2B vs 12B: 62x slower (full tower + bfloat16 vs simplified)")
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print()
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print("Architecture:")
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print(" E2B/E4B: Full 16-layer VisionTower (attention + MLP per layer)")
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print(" 12B: Simplified (patch_dense + patch_ln + pos_embedding + projection)")
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print()
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print("═══════════════════════════════════════════════════════════════════")
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print("✓ Vision comparison completed (NO TEXT model loaded)")
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print("═══════════════════════════════════════════════════════════════════\n")
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}
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} |