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jgrusewski a29f109b67 fix(cuda): resolve 35 caller-boundary type mismatches after CudaSlice migration

Update all callers to match the new pure-cudarc APIs introduced by the
hive agent CudaSlice migration. Key changes:

- GpuTrainingGuard::new() now takes Arc<CudaStream>; callers use from_device()
- check_and_accumulate/qvalue_stats/qvalue_divergence take &CudaSlice<f32>
  instead of &Tensor; callers convert via tensor_to_cuda_slice_f32()
- accumulate_q_value takes f32 scalar, returns () (no Result)
- GpuReplayBuffer::insert_batch gains batch_size arg, takes CudaSlice params
- signal_adapter functions take &Arc<CudaStream> (cudarc 0.17 Arc requirement)
- Add tensor_to_cuda_slice_u32() and cuda_f32_to_tensor() utility functions
- Replace CudaView usage with owned CudaSlice via tensor_to_cuda_slice_f32()
- Fix CudaStorage.device field access (was method call in older API)
- Fix borrow-after-move in copy_actions_out via scoped DtoD copy

Zero errors, zero warnings across lib + tests + examples + full workspace.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-03-17 14:05:31 +01:00

baseline_common

fix(ml): wire spread_cost_bps into RL training — commission + spread = total tx cost

2026-03-01 22:10:43 +01:00

cuda_test.rs

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

download_baseline.rs

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

evaluate_baseline.rs

fix(cuda): resolve 35 caller-boundary type mismatches after CudaSlice migration