- Archive: 85 agent .txt files → docs/archive/agents/legacy_txt/ - Scripts: Move 110 shell scripts → scripts/ (keep deploy.sh in root) - Models: Move 18 .safetensors → ml/models/checkpoints/training_artifacts/ - Delete: 34 directories (~33GB freed) - target/, coverage_*, test artifacts - Build: Clean 14 build artifacts (.rlib, .o, .pid, binaries) - Tests: Move 14 .rs files → tests/standalone/ - SQL: Move 5 files → sql/ (keep init-db*.sql for Docker) - Wave 153: Archive to docs/archive/historical/wave153/ - Docs: Archive 9 markdown files to wave_d/reports/ and historical/ Total impact: ~34GB freed (both waves), root directory cleaned from 583 to ~40 essential files Directory count reduced from 65 to 31 (52% reduction) All historical data preserved in organized archive structure
20 lines
931 B
Diff
20 lines
931 B
Diff
--- a/scripts/runpod_deploy.py
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+++ b/scripts/runpod_deploy.py
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@@ -352,11 +352,11 @@ def main():
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# Query available GPUs (global availability)
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gpus = get_available_gpu_types()
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if not gpus:
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- print("\nERROR: No GPUs available with ≥16GB VRAM in SECURE cloud")
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- print("\n💡 TIP: This checks global availability. EUR-IS specific availability")
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- print(" is checked during deployment via REST API.")
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- sys.exit(1)
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+ print("\n⚠️ WARNING: No GPUs found with global secure cloud availability")
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+ print(" Proceeding to deployment anyway (REST API will check EUR-IS-1)")
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+ print(" This may fail if no GPUs are available in EUR-IS-1\n")
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+ # Don't exit - let REST API check EUR-IS-1 availability
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+ # sys.exit(1) # REMOVED: This prevented trying EUR-IS-1 deployment
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print(f"\n✅ Found {len(gpus)} GPU type(s) to try")
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