feat: add Mano manifold optimizer (mano_adamw)

- implement Mano (v2) with axis-rotating tangent projection and manifold normalization, replacing Newton-Schulz iteration
- composite ManoAdamW reuses partition_optimizer_parameters and composite helpers
- register mano_adamw in OptimizerFactory, export Mano and ManoAdamW
- add --mano_momentum and --mano_nesterov CLI options in Optimizer group
- add mano_adamw hyperparameters branch in train.py
- document mano_adamw in params.md
- add tests for single-step projection, axis alternation, factory registration, closure, and resume
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2026-08-01 08:51:08 +08:00
parent 6c76c16480
commit 6db276f37a
6 changed files with 367 additions and 2 deletions
+12 -1
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@@ -35,7 +35,7 @@ non-matrix parameters through **AdamW** (`fused=True`).
| Parameter | Description | Default |
|-----------|-------------|---------|
| `--optimizer` | Built-in optimizer (`muon_adamw`, `nora_nadamw`) | `muon_adamw` |
| `--optimizer` | Built-in optimizer (`muon_adamw`, `nora_nadamw`, `mano_adamw`) | `muon_adamw` |
| `--weight_decay` | Weight decay (applied to Muon matrix params; non-matrix use 0) | 0.1 |
| `--muon_momentum` | Muon momentum factor | 0.95 |
| `--muon_nesterov` | Enable Nesterov momentum for Muon | True |
@@ -55,6 +55,17 @@ under DTensor sharding and rejects layouts sharded along the last dimension.
| `--nora_momentum` | Nora Nesterov interpolation factor | 0.95 |
| `--nora_weight_decay` | Nora matrix weight decay | 0.0 |
`mano_adamw` routes internal `Linear.weight` matrices to **Mano** (manifold
normalized optimizer) and the remaining parameters to **NAdamW**. Mano projects
the momentum onto the tangent space of the Oblique manifold and normalizes it,
alternating the projection axis (row/column) each step — replacing Muon's
Newton-Schulz iteration with a cheaper normalization.
| Parameter | Description | Default |
|-----------|-------------|---------|
| `--mano_momentum` | Mano momentum factor | 0.95 |
| `--mano_nesterov` | Enable Nesterov momentum for Mano | True |
Optimizer identity and hyperparameters are saved in checkpoint metadata. Optimizer
states are intentionally not interchangeable: resume older MuonAdamW checkpoints
with `--optimizer=muon_adamw`.