Perf: reuse L2 IN args across SceneTest rounds - #1854
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📝 WalkthroughWalkthroughHost tensor staging now uses retained, aligned device-buffer slices. Compatible runs skip repeated H2D copies. Zero-byte tensors avoid allocation. Cleanup frees only run-owned device allocations. ChangesRetained host tensor staging
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🟠 High · up to This change reuses retained staging buffers and skips host-to-device copies, but the current implementation can execute with stale tensor data or produce out-of-range device slices, and failed repopulation may preserve invalid reuse state. The PR is not merge-ready until these correctness and lifecycle issues are fixed. Sequence Diagram(s)sequenceDiagram
participant Runtime as Runtime run
participant Host as Host tensors
participant Staging as RetainedTempBump
participant Device as Device memory
Runtime->>Staging: initialize staging and compare layout
Staging->>Device: grow or reuse retained storage
Runtime->>Host: read non-OUT tensor data
Runtime->>Device: copy H2D when reuse is unavailable
Runtime->>Device: preserve retained slices during cleanup
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✅ Passed checks (4 passed)
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In `@src/a2a3/runtime/host_build_graph/host/runtime_maker.cpp`:
- Around line 311-356: Update align_up, begin, and acquire to detect size_t
overflow before alignment and addition operations: reject values that cannot be
safely aligned, accumulate required staging bytes with checked arithmetic, and
validate aligned plus bytes before comparing with capacity or returning a slice.
On overflow, fail safely without allocating or exposing an out-of-range device
slice.
- Around line 380-417: Release staging layout metadata when the runner-owned
retained buffer is finalized. Update the DeviceRunner retained-buffer
finalization path to call forget_staging_meta() for the buffer before or as it
is freed, ensuring staging_meta() cannot retain entries across runner
lifecycles.
- Around line 881-883: Update the H2D skip logic using
RetainedTempBump::staging_populated_for so an address-and-size Layout alone
cannot establish freshness. Require a producer-supplied content generation or
dirty version matching the staged data before skipping H2D; otherwise keep H2D
enabled, including when IN or INOUT tensors were modified in place between
binds.
- Around line 952-953: Update the staging-population flow around
RetainedTempBump::mark_staging_populated so existing metadata is invalidated
before any H2D copy or tensor_access.add() can modify retained staging when
skip_h2d is false, including the no-growth path. Only mark the staging buffer
populated after the complete staging sequence succeeds, preventing later binds
from trusting a partially overwritten buffer.
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src/a2a3/runtime/host_build_graph/host/runtime_maker.cppsrc/a2a3/runtime/host_build_graph/runtime/runtime.h
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Opt-in SceneTest L2 pinning (REUSE_L2_IN_ACROSS_ROUNDS) pre-uploads stable orchestration IN tensors once when --rounds > 1, so later rounds skip repeated H2D. Enabled only on Qwen3 decode cases; default remains main-compatible.
Pre-upload immutable L2 inputs automatically for multi-round scene tests. Carry a host-only view through materialization so host-build-graph orchestration can read those inputs while kernels keep using the fixed device address.
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Summary
--rounds > 1, pre-upload every nonempty orchestrationINtensor once and reuse its fixed device address in every round.OUTandINOUTon the existing per-round host staging, reset, and copy-back path.host_build_graphregisters that view with the existingHostTensorAccessor, so host orchestration can read input contents while AICPU/AICore tasks continue to use the device address.Behavior
rounds == 1rounds > 1INOUT/INOUTThe host view is internal runtime metadata. It does not change the
ChipTensordevice ABI, add host/device mapping, or introduce generation/cache policy.Performance
The original Qwen3-14B decode measurement for this optimization (A2/A3 HBG, batch 16 / seq 3500, 10 rounds,
--skip-golden) reported:Validation
benchmark_bgemm,--rounds 2: passed both rounds with golden validation.benchmark_bgemm,--rounds 2: passed both rounds with golden validation.vector_example,--rounds 2: passed both rounds with golden validation.Local onboard validation was not started because the mandatory architecture gate could not initialize
npu-smi(dcmi module initialize failed,-8005). The PR CI onboard lanes passed on A2/A3 and A5, including DeepSeek and network1.