Isolate Trackio from Hub model acquisition
Browse files
training/run_fable_router_structural_smoke.py
CHANGED
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@@ -435,13 +435,18 @@ def main() -> int:
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try:
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import trackio
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trackio.init(
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project="autonoma-fable-router-smoke",
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name=f"{args.bank}-{stamp}",
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space_id="Swordnael/trackio",
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config={"bank": args.bank, "platform": args.platform, "mode": "structural-smoke"},
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)
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tracking = {"status": "
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run(args, result)
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result["status"] = "structural_smoke_passed_nonrouting"
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result["passed"] = True
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@@ -462,7 +467,7 @@ def main() -> int:
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result_path = output / "result.json"
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result_path.write_text(json.dumps(result, indent=2) + "\n", encoding="utf-8")
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try:
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-
if tracking["status"] == "
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import trackio
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trackio.finish()
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try:
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import trackio
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# Structural-smoke evidence is persisted directly to the private Hub
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# dataset. Keep Trackio local here: Trackio's Space mode configures a
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# Hub Bucket/Xet write context, which can leak into a subsequent large
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# model download in the same process. Full training uses a dedicated
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# remote Trackio process after acquisition instead.
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os.environ["TRACKIO_DIR"] = str(output / "trackio")
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trackio.init(
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project="autonoma-fable-router-smoke",
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name=f"{args.bank}-{stamp}",
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config={"bank": args.bank, "platform": args.platform, "mode": "structural-smoke"},
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)
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tracking = {"status": "started_local", "directory": str(output / "trackio")}
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run(args, result)
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result["status"] = "structural_smoke_passed_nonrouting"
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result["passed"] = True
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result_path = output / "result.json"
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result_path.write_text(json.dumps(result, indent=2) + "\n", encoding="utf-8")
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try:
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if tracking["status"] == "started_local":
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import trackio
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trackio.finish()
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