bump llama.cpp to 1703bfeaa: a gated-delta-net layer behind a type cast no longer fails the graph (fixes #1925)

docs/hrx.md

@@ -389,6 +389,38 @@ layout (8.80 s and 8.85 s) and gives the same text. `test-hrx-fa-transposed-valu
 backend (8 cases). Why 256-token launches are faster than one 512-token launch at long key counts is measured,
 not explained.
 
+### Fixed: a gated-delta-net layer behind a type cast failed the whole graph ([engine#1925](https://github.com/1bit-MONSTER/engine/issues/1925))
+
+On Qwen3.8-Flash-Next, a long prompt failed at the first 512-token batch past 2,048 tokens of context when the
+sparse attention path's mask chain ran on the device:
+
+```
+graph_compute: unsupported HRX node 160: L2_NORM output=f32[128,16,512,1]<-L2_NORM inputs=[f32[128,16,512,1]<-VIEW] consumers=[174:GATED_DELTA_NET]
+```
+
+The fused gated-delta-net dispatch did match that node. The fault was the order in which the graph was walked.
+The scheduler walks a graph in dependency order and takes the matmuls first, which is what puts a layer's gate
+and beta projections ahead of the `L2_NORM` its fused pattern starts from. A type cast is an in-place copy that
+names its own output as an input. The walk counted that as a dependency, so the copy waited for itself, the walk
+stopped there, and every node after it was taken in index order. In index order the `L2_NORM` comes before the
+projections, and the pattern was refused because it would have read a projection that had not run. The sparse
+path's mask chain contains such casts, so the failure needed both a long context and that chain on the device.
+
+The walk no longer counts a node's own output as a dependency (llama.cpp #302). The fused matcher also keeps a
+match when a node of its pattern that only renames storage was already passed.
+
+Measured on gfx1151 (2026-11-11, Flash-Next UD-IQ3_XXS, `-c 19456 -np 1`, one 18,782-token request, a build of
+the fork with only the two changed objects replaced): `unsupported HRX node` 1 before, 0 after; all 390 fused
+gated-delta-net roots accepted; the whole prefill runs. `tests/test-hrx-gdn-passed-alias.cpp` plans the layer
+behind a cast on the host and requires the same dispatches as without it. Qwen3.5-4B, which has the same layer
+type and no sparse path, gives the same tokens on the old and the new library (128 of 128 in three alternated pairs), uses the same 33
+dispatch registrations in the same order, and runs at the same rate (`llama-bench -p 512 -n 64 -r 5`, old, new,
+old, new: decode 57.4, 58.3, 58.1, 58.2 tok/s; prefill 3,516, 3,042, 3,109, 3,213).
+
+Not shown by this: that the answer at 18.8k is the same with the mask chain on the device as with it on the
+CPU. Three of the four long requests in these runs, on the old library and the new, ended in all-NaN logits on
+the first sampled token, which is [engine#1536](https://github.com/1bit-MONSTER/engine/issues/1536).
+
 ### MoE decode and the kernel cache (llama.cpp #32, #33)
 
 - **MoE decode.** With one to four tokens, a `MUL_MAT_ID` (a MoE expert matmul) runs as a GEMV over

registry/architectures.json

@@ -1,7 +1,7 @@
 {
  "about": "HF architecture -> GGUF architecture and the backends whose code accepts it. Generated by tools/registry_build.py from the pinned sources; do not edit.",
  "sources": {
-  "llama.cpp (hrx)": "7a1f2b81ce17aaa84a40b766d1b06e5fd4601196"
+  "llama.cpp (hrx)": "1703bfeaaaae16686e0ea5fd22b18b6fa2163fa1"
  },
  "counts": {
   "hrx": 298,