jgrusewski d95e205d4b refactor(ml): delete mixed_precision module — BF16 unconditional on CUDA ...

Eliminate the entire mixed_precision runtime indirection layer:
- Delete crates/ml-core/src/mixed_precision.rs (training_dtype, ensure_training_dtype, align_dim_for_tensor_cores)
- Inline ~100 call sites across 130 files to constants:
  training_dtype(&device) → candle_core::DType::BF16
  ensure_training_dtype(x) → x.to_dtype(candle_core::DType::BF16)
  align_dim_for_tensor_cores(x, &device) → (x + 7) & !7
- Remove re-exports from ml-dqn, ml-supervised, ml lib.rs
- Clean config/toml/json/shell references

No CPU/Metal training path exists — BF16 is the only dtype.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-03-16 16:11:48 +01:00

..

alternative

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2025-10-30 01:26:02 +01:00

base

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database

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ml

refactor(ml): delete mixed_precision module — BF16 unconditional on CUDA

2026-03-16 16:11:48 +01:00

monitoring

chore(infra): remove dead Cockpit TF, CI-CD dashboards, stale Grafana configs

2026-03-02 15:13:40 +01:00

prometheus

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2026-03-04 23:46:36 +01:00

redis

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sqlx

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tuning

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2025-11-28 10:29:45 +01:00

development.toml

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ml_models_staging.toml

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paper_trading_config.yaml

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performance-benchmark.toml

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production.toml

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server-extensions.cnf

chore: Second cleanup wave - organize root directory

2025-10-30 01:26:02 +01:00

staging.toml

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tarpaulin.toml

chore: Major documentation cleanup - remove 2,060 obsolete files

2025-11-28 10:29:45 +01:00

universe-es-mbp10-test.toml

feat(ml): re-enable OFI features from MBP-10 order book data

2026-03-07 13:00:07 +01:00

universe-es-mbp10.toml

feat(data): schema-configurable Databento download with MinIO upload

2026-03-07 12:19:46 +01:00

universe-futures-baseline.toml

fix(ml): add stype_in=Parent for Databento .FUT symbol downloads

2026-02-23 20:02:38 +01:00