THE OPTIMIZER ("0.1% an hour per agent", 0 of 39 passes in 78 min,
12 agents): the tester fires OnTimer on SIMULATED time, so the live
chart's 500ms EventSetMillisecondTimer over a 2016-2026 pass is ~600
MILLION OnTimer calls - each walking 4x PollTraining, the vote
readout's string build, the overlay advance and the deployed census.
None of it serves an inference-only pass: training never runs, per-bar
inference is driven by OnTickHandler off the tick stream, the risk
budget re-checks in OnTick, and there is no chart to keep fresh.
StepSetTimer now arms EventSetTimer(3600) in tester/optimizer/forward
(~2,600 calls per pass) and keeps the 500ms timer for live charts.
Plus a TESTER PASS SELF-PROFILE: per-tick buckets (pre / Expert.OnTick
/ journal) and the timer total, printed once at the pass's OnDeinit -
so if a pass is still slow it names its own consumer instead of being
diagnosed from outside.
OFFLOAD (operator: "as much calculation as possible to DLL/OpenCL"):
batch norm was the ONE stage still host-side on the DLL tier - the
device path was OpenCL-only, so every sample crossed the bus twice per
BN layer and normalized in interpreted MQL5 (and every model runs
batchnorm ON). Four new exports mirror AI\Network.cl's BatchNorm*
kernels 1:1 in DOUBLE precision (closer to the host reference than
the float OpenCL kernels): forward with running stats + frozen flag,
hidden gradient with the clamp derivative, gamma/beta accumulate, and
the batch-mean apply (no weight decay, moments-before-skip ordering,
sqrt-stored v). BnDeviceEligible/EnsureBnDeviceBuffers/all four
Dispatch* now route by backend; the EXISTING in-situ self-checks
(host-vs-device on the first real sample, latch-off + host fallback on
mismatch) verify the DLL kernels exactly as they verified OpenCL ones.
batch_accum_check regression: ALL CHECKS PASSED on the rebuilt DLL.
Same deployment coupling as bd46374: the .ex5 imports the new exports
- copy DirectML\WarriorCPU.dll into MQL5\Libraries (terminal closed)
together with the new .ex5, and re-copy it to the tester agents (or
just run DirectML\build_cpu.bat once with everything closed - it
deploys to every discovered Libraries folder).
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
A bad pathspec in a multi-file `git add` made the whole invocation a no-op except for
the 4 deletions already staged from an earlier `git rm` - Network.mqh's new inline
declarations, AI_NETWORK.md's table update, and the 4 new AI/Impl/*.mqh bodies never
landed in 46523dc. Same content already compiled clean; this just gets it into the
index. Tree is correct as of this commit; 46523dc alone is not.
