8d89fe80ff
- 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
30 lines
842 B
Bash
Executable File
30 lines
842 B
Bash
Executable File
#!/bin/bash
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# Bypass volume cache - download binary directly from S3
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set -e
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echo "================================================"
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echo "Bypassing Volume Cache - Downloading from S3"
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echo "================================================"
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# Download fresh binary from S3
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aws s3 cp s3://se3zdnb5o4/binaries/current/hyperopt_mamba2_demo /tmp/demo \
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--endpoint-url https://s3api-eur-is-1.runpod.io
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# Make executable
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chmod +x /tmp/demo
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# Verify it has correct arguments
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echo "Verifying binary..."
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/tmp/demo --help | grep -q "base-dir" && echo "✅ Binary verified" || (echo "❌ Wrong binary!" && exit 1)
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# Execute training
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echo "Starting training..."
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/tmp/demo \
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--parquet-file /runpod-volume/test_data/ES_FUT_180d.parquet \
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--base-dir /runpod-volume/ml_training \
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--trials 2 \
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--epochs 1 \
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--batch-size-max 256 \
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--seed 42
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