Record CUDA benchmark diagnostics
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@@ -14,7 +14,7 @@ from pathlib import Path
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from typing import Any
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from .downloader import compute_shard_checksum, download_shard
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from .hardware import detect_hardware, benchmark_throughput
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from .hardware import detect_hardware, benchmark_throughput_checked
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from .relay_bridge import RelayHttpBridge, peer_id_from_wallet
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from .server import StubNodeServer
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from .torch_server import TorchNodeServer
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@@ -386,7 +386,18 @@ def run_startup(
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print(f" Memory budget: {memory_budget_mb / 1024:.1f} GB {memory_budget_source}", flush=True)
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print("Benchmarking compute...", flush=True)
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bench_tps = benchmark_throughput(device)
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if device != "cuda" and gpu_name:
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_cuda_score, cuda_ok, cuda_error = benchmark_throughput_checked("cuda")
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hw["cuda_benchmark_ok"] = cuda_ok
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if cuda_error:
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hw["cuda_benchmark_error"] = cuda_error
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if not cuda_ok:
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print(f" CUDA benchmark unavailable: {cuda_error}; using CPU benchmark", flush=True)
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bench_tps, bench_ok, bench_error = benchmark_throughput_checked(device)
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hw["benchmark_device"] = device
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hw["benchmark_ok"] = bench_ok
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if bench_error:
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hw["benchmark_error"] = bench_error
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device_label = "GPU" if device == "cuda" else "CPU"
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print(f" {device_label} throughput index: {bench_tps:,.0f}", flush=True)
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