X11 inference interface for the deployability backtester. Two new
public methods on PerceptionTrainer:
forward_only(snapshots) -> Vec<f32>
Forward-only pass over a K-snapshot window. Wraps evaluate() with
dummy zero-valued labels and discards the loss. Returns the same
[K, B, N_HORIZONS]-shaped probability output as evaluate_batched.
from_checkpoint(dev, cfg, path) -> Result<Self>
Build a PerceptionTrainer ready for inference: constructs a fresh
trainer (with random init) to wire up kernel handles + grad
buffers + scratches, then overwrites the trunk's weights from the
Checkpoint file via CfcTrunk::load_checkpoint. The optimizer +
grad buffers stay allocated — unused at inference, but allocating
them keeps the struct invariant uniform. A leaner inference-only
struct can be added later if memory matters.
Architectural note: the trunk is the source of truth for weights (X1-X9
established that). PerceptionTrainer is the kernel-launch adapter that
drives forward + backward over those weights. Inference doesn't need a
separate forward path on the trunk — the trainer's evaluate_batched
already does the full chain correctly. fxt-backtest can now construct a
PerceptionTrainer in inference role via from_checkpoint + call
forward_only per decision.
Verification: ml-alpha + ml-backtesting + fxt-backtest build clean.
ml-alpha lib tests: 33 pass.
4f888abbf0