Module gpu 

GPU-accelerated batch inference for the MoE classifier via wgpu compute shaders.

Processes N feature vectors in a single GPU dispatch, achieving ~10-100x throughput over CPU for large batches. Falls back to CPU when no GPU is available or for batches smaller than the crossover threshold.

Architecture mirrors ml_scorer.rs exactly:

• Gate: Linear(41→6) + softmax
• 6 experts: Linear(41→32)+ReLU → Linear(32→16)+ReLU → Linear(16→1)
• Output: sigmoid(weighted sum of expert logits)

Functions

batch_ml_inference

Score multiple (credential, context) pairs in a single batch.

gpu_available

Check if GPU acceleration is available. Return true when GPU scoring support is available in this build/runtime.

gpu_probe

Probe GPU availability and adapter metadata without panicking.