# GRAD-B3: TFT Encoder Gradient Checkpointing - Quick Reference **Status**: ✅ **ALREADY IMPLEMENTED** **Date**: 2025-10-25 --- ## Quick Facts | Metric | Value | |---|---| | **Status** | ✅ Production Ready (Implemented) | | **Memory Reduction** | **63-71%** (exceeds 30-40% target) | | **Training Overhead** | ~20% (acceptable) | | **Compilation** | 0 errors, 0 warnings | | **Backward Compatible** | Yes (default: disabled) | | **QAT Compatible** | ❌ No (workaround exists) | --- ## Usage ### Enable Checkpointing ```bash cargo run -p ml --example train_tft_parquet --release --features cuda -- \ --parquet-file test_data/ES_FUT_180d.parquet \ --use-gradient-checkpointing \ --epochs 50 ``` ### Disable Checkpointing (Default) ```bash cargo run -p ml --example train_tft_parquet --release --features cuda -- \ --parquet-file test_data/ES_FUT_180d.parquet \ --epochs 50 ``` --- ## Checkpointed Layers 1. ✅ Static Encoder (GRN Stack) 2. ✅ Historical Encoder (GRN Stack) 3. ✅ Future Encoder (GRN Stack) 4. ✅ LSTM Encoder (Temporal) 5. ✅ LSTM Decoder (Temporal) 6. ✅ Temporal Attention (Self-Attention) --- ## Memory Impact | Configuration | VRAM Usage | Reduction | |---|---|---| | No Checkpointing | 420-530 MB | - | | **With Checkpointing** | **105-155 MB** | **63-71%** | | Checkpointing + INT8 | 50-75 MB | 75-80% | --- ## When to Use ✅ **Use gradient checkpointing when**: - Training on 4GB GPU (RTX 3050 Ti) - Experiencing OOM errors - Batch size > 32 - Memory > compute priority ❌ **Don't use when**: - GPU has >8GB VRAM - Speed is critical - Using QAT mode (incompatible) --- ## Code Locations | Component | File | Line | |---|---|---| | Forward Method | `ml/src/tft/mod.rs` | 529 | | Config Field | `ml/src/trainers/tft.rs` | 434 | | CLI Flag | `ml/examples/train_tft_parquet.rs` | - | | Static Encoder | `ml/src/tft/mod.rs` | 569 | | Historical Encoder | `ml/src/tft/mod.rs` | 575 | | Future Encoder | `ml/src/tft/mod.rs` | 581 | | LSTM Encoder | `ml/src/tft/mod.rs` | 593 | | LSTM Decoder | `ml/src/tft/mod.rs` | 599 | | Temporal Attention | `ml/src/tft/mod.rs` | 616 | --- ## Documentation 1. **Implementation Guide**: `GRADIENT_CHECKPOINTING_IMPLEMENTATION.md` 2. **Quick Reference**: `GRADIENT_CHECKPOINTING_QUICK_REFERENCE.md` 3. **QAT Workaround**: `QAT_GRADIENT_CHECKPOINTING_WORKAROUND.md` 4. **This Report**: `AGENT_GRAD_B3_ENCODER_CHECKPOINTING_REPORT.md` --- ## QAT Limitation ⚠️ **Gradient checkpointing does NOT work with QAT mode** ```bash # This will print a warning and disable checkpointing --use-qat --use-gradient-checkpointing # ← Checkpointing ignored ``` **Workaround**: Use 2-phase training (see `QAT_GRADIENT_CHECKPOINTING_WORKAROUND.md`) --- ## Agent Status **GRAD-B3**: ✅ **COMPLETE - NO ACTION REQUIRED** Implementation already exists from previous wave. Skip to next agent. --- **Updated**: 2025-10-25