feat(worldmodel): Candle Rust port + GCP GPU scripts (ADR-147 Phase 4+6)
Candle native port — wifi-densepose-occworld-candle v0.3.0:
- config.rs: OccWorldConfig (14 params matching occworld.py)
- vqvae.rs: ClassEmbedding(18→64), VQCodebook(512×512, squared-L2),
QuantConv/PostQuantConv(1×1 Conv2d), fold_3d_to_2d helpers
ResNet encoder/decoder are documented stubs (Phase 5 checkpoint pending)
- transformer.rs: full Candle MHA transformer (2 layers, temporal+spatial
cross-attention, FFN, pre-norm residuals)
- inference.rs: OccWorldCandle::dummy() + ::load() + predict()
InferenceOutput: sem_pred(1,15,200,200,16) + trajectory_priors
- 14/14 tests pass (12 lib + 2 doctests)
GCP GPU scripts — scripts/gcp/:
- provision_training.sh: a2-highgpu-8g (8×A100 40GB) for Phase 5 retraining
- run_training.sh: rsync + torchrun 8-GPU train + checkpoint download
- provision_cosmos.sh: a2-ultragpu-1g (A100 80GB) for Cosmos evaluation
- cosmos_eval.sh: run Cosmos-Transfer2.5 inference, download results
- teardown.sh: safe checkpoint download + instance delete
Co-Authored-By: claude-flow <ruv@ruv.net>
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