Vaccine:
- Replaced upload_batch_gpu (sync DtoD) with upload_batch_ptrs_6 +
submit_indirect_upload_ops (async indirect kernels). Zero sync.
- Deleted upload_batch_gpu entirely — no callers remain.
Causal intervention:
- Removed entirely from hot path. Was running 14 cuBLAS forward passes
every 100 steps with no readback and no training decision based on
the result. Pure GPU waste.
- Kernel still exists in cubin for future offline analysis.
Causal readback:
- Removed stream.synchronize() + memcpy_dtoh from run_causal_intervention.
Return value was already discarded by caller. Now returns 0.0 immediately.
Sensitivity stays on GPU.
Dead code:
- Deleted upload_batch_gpu (72 lines) — replaced by indirect upload.
Per-step hot path on step 2+:
9 graph replays (~45µs)
5 async HtoD (92 bytes, ~5µs)
Zero sync. Zero DtoH. Zero alloc. Zero CPU compute.
Zero concerns.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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