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docs(paged): reject GDN M5 QS-early phase
Record the Phase 11 default-off QS-early GDN experiment, its canonical md5 gates, the same-session GB10 A/B regression, and the rejected diff artifact. Assisted-by: Codex:gpt-5
This commit is contained in:
@@ -928,3 +928,58 @@ Conclusion:
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- A future GDN prefill attempt should either share the `A/T` work across value
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slabs or switch to a different FLA-style chunk design; it should not repeat
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this env-gated two-slab M5 variant.
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## Phase 11 GDN M5 QS-Early Rejection
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Phase 11 tested a smaller C=16 M5 scheduling shortcut instead of reopening C32:
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move the `QS = Qc * S0` state-boundary tensor-core pass earlier and keep it
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default-off behind `GDN_M5_QS_EARLY=1`.
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Correctness artifacts:
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/gates/gated_delta_net_default.txt`
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/gates/gated_delta_net_qs_early.txt`
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/gates/gate_moe_default.md5`
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/gates/gate_dense_default.md5`
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/gates/gate_moe_qs_early.md5`
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/gates/gate_dense_qs_early.md5`
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Correctness result:
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- Default and QS-early paths matched canonical md5 exactly:
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- MoE `8cb0ce23777bf55f92f63d0292c756b0`.
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- Dense `5951a5b4d624ce891e22ab5fca9bc439`.
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- KL was not needed.
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Performance artifacts:
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/ab/moe_base.txt`
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/ab/moe_qs_early.txt`
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/ab/dense_base.txt`
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/ab/dense_qs_early.txt`
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Performance A/B:
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| Model | Mode | PP | TG | B | S_PP t/s | S_TG t/s | S t/s |
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|-------|------|----|----|---|----------|----------|-------|
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| MoE | M5 base | 512 | 4 | 32 | 2325.67 | 355.60 | 2229.90 |
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| MoE | QS-early | 512 | 4 | 32 | 2315.77 | 353.27 | 2220.16 |
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| MoE | M5 base | 2048 | 4 | 32 | 2441.54 | 390.53 | 2416.80 |
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| MoE | QS-early | 2048 | 4 | 32 | 2420.26 | 389.89 | 2395.94 |
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| Dense | M5 base | 512 | 4 | 32 | 975.15 | 142.71 | 932.97 |
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| Dense | QS-early | 512 | 4 | 32 | 968.23 | 144.24 | 927.17 |
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| Dense | M5 base | 2048 | 4 | 32 | 1021.06 | 183.34 | 1012.04 |
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| Dense | QS-early | 2048 | 4 | 32 | 1015.77 | 183.73 | 1006.88 |
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Rejected diff:
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/rejected/qs_early_rejected.diff`
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Conclusion:
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- Do not ship Phase 11 QS-early as implemented.
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- Merely moving the QS state-boundary product earlier is not enough; it remains
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an extra MMA pass and does not reduce the M5 critical path.
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- The next GDN attempt should skip local scheduling-only changes and scope a
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true shared-A/Ai blocked-solve or global-scratch design, with an explicit
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scratch/synchronization cost model before coding.
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@@ -174,6 +174,7 @@ GDN is the #1 prefill-gap contributor (+59.2 us/tok, ~30%). vLLM's FLA `chunk_ga
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| BV block-occupancy A/B (tf32) | raise blocks/SM | REJECTED (occupancy NOT the bound) | 1844 vs 1814 S_PP (-1.04%, within noise) |
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| bf16-C64 | bf16 Gram at C=64 | REJECTED | -18.75%; O(C^2) intra-chunk + serial recurrence dominates |
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| Phase 10 C32 slab M5 | C=32, two `dv_tile=64` slabs, default-off `GDN_C32_SLAB=1` | REJECTED | md5-clean after tail-row zeroing, but slower: MoE 2048 2430.32 -> 2054.86; dense 2048 1019.25 -> 903.73 |
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| Phase 11 QS-early M5 | move `QS = Qc * S0` earlier, default-off `GDN_M5_QS_EARLY=1` | REJECTED | md5-clean, but slightly slower: MoE 2048 2441.54 -> 2420.26; dense 2048 1021.06 -> 1015.77 |
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Why not occupancy/dtype: the cost is the **O(C^2) intra-chunk triangular A-inverse solve + the strictly-serial inter-chunk recurrence**, with C forced to **16** by GB10's 99 KB dynamic-smem cap (the 128x128 f32 state alone is 64 KB). M5 captures the tractable TC part; it does not fully close 2.62x because vLLM's FLA blocked-solve is a more complete TC implementation.
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@@ -173,6 +173,7 @@ products through tensor cores. The series chased that headroom.
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| BV block-occupancy A/B (tf32) | raise blocks/SM to test if occupancy is the bound | **REJECTED** (occupancy is NOT the bound; latency is wave-hidden) | two arms statistically equal: **1844 vs 1814 S_PP (-1.04%, within noise)** | GDNAB armA/armB |
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| bf16-C64 | bf16 Gram at the larger C=64 chunk | **REJECTED** | **-18.75%** - the O(C^2) intra-chunk triangular-solve + serial recurrence dominates, so growing C hurts | recorded verdict / GDN build-plan |
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| Phase 10 C32 slab M5 | C=32 with two `dv_tile=64` slabs, default-off `GDN_C32_SLAB=1` | **REJECTED** | md5-clean after tail-row zeroing, but S_PP regressed: MoE 2048 **2430.32 -> 2054.86**, dense 2048 **1019.25 -> 903.73** | phase10 gates/ab |
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| Phase 11 QS-early M5 | move `QS = Qc * S0` earlier, default-off `GDN_M5_QS_EARLY=1` | **REJECTED** | md5-clean, but S_PP regressed slightly: MoE 2048 **2441.54 -> 2420.26**, dense 2048 **1021.06 -> 1015.77** | phase11 gates/ab |
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**Why the bottleneck is not occupancy/dtype:** the cost is the **O(C^2)
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intra-chunk triangular solve + the serial inter-chunk recurrence dependency**, not
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@@ -493,6 +493,34 @@ Artifacts:
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- `/home/mudler/bench/phase10_gdn_c32_slab/ab/`
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- `/home/mudler/bench/phase10_gdn_c32_slab/rejected/c32_slab_tailfix_rejected.diff`
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### Phase 11 GDN M5 QS-early update
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Phase 11 tested the smallest possible C=16 follow-up after the C32 slab
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rejection: move the `QS = Qc * S0` state-boundary product earlier in the M5
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chunk loop behind `GDN_M5_QS_EARLY=1`.
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Result:
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- The candidate built on DGX and stayed md5-exact:
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MoE `8cb0ce23777bf55f92f63d0292c756b0`, dense
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`5951a5b4d624ce891e22ab5fca9bc439`.
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- It regressed S_PP slightly in both families:
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MoE 2048 `2441.54 -> 2420.26`, dense 2048 `1021.06 -> 1015.77`.
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Decision:
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- **REJECT** QS-early.
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- Do not add it to the LocalAI patch stack.
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- A scheduling-only move that still performs the same QS MMA does not close the
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GDN gap. The next GDN scope should be a real shared-A/Ai blocked-solve or
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global-scratch design, not another local reorder.
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Artifacts:
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/gates/`
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/ab/`
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/rejected/qs_early_rejected.diff`
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---
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# PROFILE-VALIDATED PATH (both-engine nsys, adversarially verified Sun Jun 28 11:55:12 PM UTC 2026)
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@@ -25,7 +25,7 @@
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- Read-only: `/home/mudler/_git/llama.cpp/ggml/src/ggml-cuda/gated_delta_net.cu`
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- Artifact: `/home/mudler/bench/phase11_gdn_m5_state_boundary/`
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- [ ] **Step 1: Check DGX is free**
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- [x] **Step 1: Check DGX is free**
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Run:
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@@ -46,7 +46,7 @@ compute=0
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FREE...
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```
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- [ ] **Step 2: Record source provenance**
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- [x] **Step 2: Record source provenance**
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Run:
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@@ -58,7 +58,7 @@ git -C /home/mudler/_git/llama.cpp rev-parse HEAD
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Expected: clean llama.cpp fork and DGX mirror before source edits.
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- [ ] **Step 3: Create artifact directory**
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- [x] **Step 3: Create artifact directory**
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Run:
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@@ -74,7 +74,7 @@ Expected: command exits 0.
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- Modify: `/home/mudler/_git/llama.cpp/ggml/src/ggml-cuda/gated_delta_net.cu`
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- Mirror: `/home/mudler/llama-phase6-source/ggml/src/ggml-cuda/gated_delta_net.cu`
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- [ ] **Step 1: Add an env selector**
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- [x] **Step 1: Add an env selector**
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Add a static env flag near the existing `gdn_tc` selector:
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@@ -87,7 +87,7 @@ static const bool gdn_m5_qs_early = []{
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Route it only for `S_v == 128 && n_tokens >= gdn_chunk_min && gdn_tc >= 4`.
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- [ ] **Step 2: Add a template boolean for the candidate**
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- [x] **Step 2: Add a template boolean for the candidate**
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Extend the chunked launch templates with a defaulted boolean, keeping existing
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call sites source-compatible:
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@@ -107,7 +107,7 @@ static void launch_gdn_chunked(...)
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Use the boolean only inside the M3/M5 code path. Existing launches must remain
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`launch_gdn_chunked<128, 16, TC_>(...)`.
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- [ ] **Step 3: Move QS deposition earlier for candidate only**
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- [x] **Step 3: Move QS deposition earlier for candidate only**
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In `gated_delta_net_chunked_cuda`, after the KS/RHS section and before the
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`solve A U = RHS` section, add a candidate-only QS pass:
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@@ -157,7 +157,7 @@ if constexpr (TC >= 2 && !QS_EARLY) {
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This is intentionally conservative. It should not change math order for the
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deposited QS values, only their scheduling relative to the solve/P build.
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- [ ] **Step 4: Add a candidate launch arm**
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- [x] **Step 4: Add a candidate launch arm**
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In `launch_gated_delta_net`, when `gdn_m5_qs_early && gdn_tc >= 4`, call:
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@@ -168,7 +168,7 @@ return;
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Default M5 must continue to call `launch_gdn_chunked<128, 16, 4>(...)`.
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- [ ] **Step 5: Mirror to DGX and build**
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- [x] **Step 5: Mirror to DGX and build**
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Run:
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@@ -180,12 +180,20 @@ ssh dgx.casa 'cd /home/mudler/llama-phase6-source/build-cuda && cmake --build .
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Expected: build exits 0.
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Result:
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- Candidate implemented as a default-off `GDN_M5_QS_EARLY=1` path in the
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llama.cpp fork.
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- The patch only touched `ggml/src/ggml-cuda/gated_delta_net.cu`.
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- DGX build passed for `test-backend-ops`, `llama-completion`, and
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`llama-batched-bench`.
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## Task 3: Correctness Gates
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**Files:**
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- Artifact: `/home/mudler/bench/phase11_gdn_m5_state_boundary/gates/`
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- [ ] **Step 1: Run focused op gates**
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- [x] **Step 1: Run focused op gates**
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Run:
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@@ -198,7 +206,7 @@ GDN_M5_QS_EARLY=1 GDN_TC=5 GDN_CHUNK_MIN=2 ./test-backend-ops test -b CUDA0 -o G
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Expected: both logs show CUDA0 `OK` for all `GATED_DELTA_NET` cases.
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- [ ] **Step 2: Run canonical md5 gates**
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- [x] **Step 2: Run canonical md5 gates**
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Run:
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@@ -224,18 +232,31 @@ MoE 8cb0ce23777bf55f92f63d0292c756b0
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Dense 5951a5b4d624ce891e22ab5fca9bc439
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```
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- [ ] **Step 3: Stop if md5 changes**
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- [x] **Step 3: Stop if md5 changes**
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If either candidate md5 differs, do not benchmark yet. Run the KL gate from
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`backend/cpp/llama-cpp-localai-paged/docs/PAGED_BITEXACT_NOTE.md` and accept
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only if KL is benign and the transcript is sane.
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Result:
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- Default op gate: `/home/mudler/bench/phase11_gdn_m5_state_boundary/gates/gated_delta_net_default.txt`.
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- QS-early op gate: `/home/mudler/bench/phase11_gdn_m5_state_boundary/gates/gated_delta_net_qs_early.txt`.
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- Both focused op logs reported the same OK count.
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- Default md5:
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- MoE `8cb0ce23777bf55f92f63d0292c756b0`.
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- Dense `5951a5b4d624ce891e22ab5fca9bc439`.
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- QS-early md5:
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- MoE `8cb0ce23777bf55f92f63d0292c756b0`.
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- Dense `5951a5b4d624ce891e22ab5fca9bc439`.
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- KL was not needed because md5 matched canonical exactly.
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## Task 4: Performance A/B
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**Files:**
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- Artifact: `/home/mudler/bench/phase11_gdn_m5_state_boundary/ab/`
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- [ ] **Step 1: Run same-session MoE and dense A/B**
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- [x] **Step 1: Run same-session MoE and dense A/B**
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Run:
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@@ -254,7 +275,7 @@ env $LCAND ./llama-batched-bench -m /home/mudler/bench/q36-27b-nvfp4.gguf -c 131
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Expected: candidate improves S_PP for at least the target MoE prefill cases and
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does not regress dense outside noise.
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- [ ] **Step 2: Decide accept/reject**
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- [x] **Step 2: Decide accept/reject**
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Accept only if:
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@@ -273,6 +294,35 @@ git -C /home/mudler/_git/llama.cpp diff -- ggml/src/ggml-cuda/gated_delta_net.cu
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Then restore fork and DGX mirror.
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Result:
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Artifacts:
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/ab/moe_base.txt`
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/ab/moe_qs_early.txt`
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/ab/dense_base.txt`
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- `/home/mudler/bench/phase11_gdn_m5_state_boundary/ab/dense_qs_early.txt`
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| Model | Mode | PP | TG | B | S_PP t/s | S_TG t/s | S t/s |
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|-------|------|----|----|---|----------|----------|-------|
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| MoE | M5 base | 512 | 4 | 32 | 2325.67 | 355.60 | 2229.90 |
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| MoE | QS-early | 512 | 4 | 32 | 2315.77 | 353.27 | 2220.16 |
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| MoE | M5 base | 2048 | 4 | 32 | 2441.54 | 390.53 | 2416.80 |
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| MoE | QS-early | 2048 | 4 | 32 | 2420.26 | 389.89 | 2395.94 |
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| Dense | M5 base | 512 | 4 | 32 | 975.15 | 142.71 | 932.97 |
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| Dense | QS-early | 512 | 4 | 32 | 968.23 | 144.24 | 927.17 |
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| Dense | M5 base | 2048 | 4 | 32 | 1021.06 | 183.34 | 1012.04 |
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| Dense | QS-early | 2048 | 4 | 32 | 1015.77 | 183.73 | 1006.88 |
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Decision:
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- Reject the QS-early source patch.
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- The candidate is correctness-clean but does not improve S_PP and slightly
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regresses both model families.
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- Rejected diff saved at:
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`/home/mudler/bench/phase11_gdn_m5_state_boundary/rejected/qs_early_rejected.diff`.
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- The llama.cpp fork and DGX mirror were restored to the prior accepted state.
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## Task 5: Mirror Accepted Patch or Record Rejection
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**Files:**
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@@ -282,7 +332,7 @@ Then restore fork and DGX mirror.
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- Modify: `backend/cpp/llama-cpp-localai-paged/docs/PARITY_HANDOFF.md`
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- Modify: `backend/cpp/llama-cpp-localai-paged/docs/VLLM_PARITY_FINAL.md`
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- [ ] **Step 1: If accepted, commit fork patch**
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- [x] **Step 1: If accepted, commit fork patch**
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Commit in `/home/mudler/_git/llama.cpp` only after gates pass:
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@@ -291,7 +341,7 @@ git add ggml/src/ggml-cuda/gated_delta_net.cu
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git commit -m "feat(cuda): add gated delta net M5 QS-early path"
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```
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- [ ] **Step 2: Generate LocalAI patch**
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- [x] **Step 2: Generate LocalAI patch**
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Run:
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@@ -302,7 +352,7 @@ git -C /home/mudler/_git/llama.cpp format-patch -1 HEAD \
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Do not hand-edit the generated patch.
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- [ ] **Step 3: Update docs and commit LocalAI**
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- [x] **Step 3: Update docs and commit LocalAI**
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Record artifacts, md5/KL results, A/B numbers, and the decision. Commit with:
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@@ -327,3 +377,9 @@ git add backend/cpp/llama-cpp-localai-paged/docs/GB10_PARITY_PHASE0_RESULTS.md \
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git commit -m "docs(paged): record GDN M5 QS-early result" \
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-m "Assisted-by: Codex:gpt-5"
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```
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Result:
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- No fork commit and no LocalAI `0055` patch were generated because the
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candidate failed the performance gate.
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- Phase 11 is a docs-only rejection record.
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Reference in New Issue
Block a user