Release 0.56.0

CHANGELOG.md

@@ -9,6 +9,14 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [0.56.0] — 2026-09-20
+
+Back in lock-step with the engine: ships against **SKaiNET engine 0.56.0** (the engine skipped
+0.55.0 to realign the two version lines). The engine's `scaledDotProductAttention` is now
+grouped-query native, so GQA models stop tiling K/V up to the query heads — eagerly, on the tape and
+in the exported StableHLO — and the compiled leg of SKEEP-005 lands here: structure at compile time,
+cores at run time.
+
 ### Added — SKEEP-005 phase 2: the compiled leg, structure at compile time, cores at run time
 
 - **GQA without head expansion on the tape**: the engine's SDPA is grouped-query native, so
@@ -29,6 +37,19 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
   `SKAINET_TASK_GROUPS` too (`GEMMA_TASK_GROUPS` deprecated alias). Docs: spec "Phase 2", explanation
   "The compiled leg", IREE Android runtime reference "Task topology", eager-vs-compiled row.
 
+### Changed
+
+- **Engine 0.56.0** (`skainet = "0.56.0"`): grouped-query-native SDPA, its StableHLO lowering with the
+  head groups as a batching dimension, structural schedule defaults, schedule-aware graph contexts.
+- **`IreeRedecodeSession` qualifies bare function names in both create paths**: the module-qualified
+  name (`module.<fn>`) now feeds `nativeCreate` and `nativeCreateWithTopology` alike.
+- **Convention plugins 1.1.0** (`sk.ainet.multiplatform`, `sk.ainet.npm-pins`,
+  `sk.ainet.transformers.bom-coverage`); `asr-domain`, `llm-core` and `transformer-core` pin
+  `jvmTarget = JVM_21` — 1.1.0 defaults to 17, which cannot inline the engine's JVM 21 bytecode.
+- Benchmark notes describe the measurement hardware by device class; the MiniLM export harness uses
+  domain-neutral probe sentences.
+- Dependency bumps: AGP 9.4.1, kotest 6.2.5, kotlinpoet 2.4.0, binary-compatibility-validator 0.18.2.
+
 ## [0.55.0] — 2026-09-11
 
 A transformers-only release, same pattern as 0.54.1: no new engine version, still against

README.md

@@ -109,8 +109,19 @@ Honest status — see the project-status note at the top of this README.
 
 ## Current release
 
-The current release is **0.55.0** (against **SKaiNET 0.54.0** — a transformers-only release, same
-pattern as 0.54.1: no new engine version needed).
+The current release is **0.56.0**, back in lock-step with **SKaiNET 0.56.0** (the engine skipped
+0.55.0 to realign the two version lines).
+
+**Grouped-query attention without head expansion, and the compiled leg of SKEEP-005.** The engine's
+`scaledDotProductAttention` is grouped-query native, so `MultiHeadAttention` and
+`HybridTransformerBlock` hand it K/V with their own head count: `repeatKVHeads` is gone from tapes,
+traced graphs and StableHLO exports, which now batch attention over the head groups. The SmolLM2
+and FunctionGemma export harnesses stamp the structural schedule (`parallel_dims = [batch, heads]`,
+never a core count) into the module; OPTIMIZED mode runs the compiled JVM graph under the caller's
+schedule, bit-identical sequential vs. parallel; and on Android the IREE runtime takes its core
+count at run time (`IreeRedecodeSession(taskTopologyGroupCount)`, `SKAINET_TASK_GROUPS`).
+
+It builds on **0.55.0**, a transformers-only release against SKaiNET 0.54.0.
 
 **A new `asr-domain` module, and `BackendProvider` learns capabilities/options.** Generic ASR
 task types (`Transcription`, `DecodingOptions`, `FeatureFrames`, ...) move up from the downstream
@@ -232,7 +243,7 @@ The recommended way to consume is via the BOM. It pins every published `skainet-
 
 ```kotlin
 dependencies {
-    implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.55.0"))
+    implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.56.0"))
 
     // Versions resolved from the BOM:
     implementation("sk.ainet.transformers:skainet-transformers-core")

docs/modules/ROOT/pages/reference/moonshine-encoder.adoc

@@ -24,7 +24,7 @@ a DSL decoder is future work.
 [source,kotlin]
 ----
 dependencies {
-    implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.55.0"))
+    implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.56.0"))
     implementation("sk.ainet.transformers:skainet-transformers-inference-moonshine")
 }
 ----

docs/modules/ROOT/pages/tutorials/android-getting-started.adoc

@@ -55,7 +55,7 @@ dependencies {
     // self-registers it on ART at process start — nothing to call.
     runtimeOnly("sk.ainet.core:skainet-backend-jni-cpu")
 
-    implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.55.0"))
+    implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.56.0"))
     implementation("sk.ainet.transformers:skainet-transformers-core")
     implementation("sk.ainet.transformers:skainet-transformers-runtime-kllama")
     implementation("sk.ainet.transformers:skainet-transformers-inference-llama")

docs/modules/ROOT/pages/tutorials/getting-started-java.adoc

@@ -25,7 +25,7 @@ In your `build.gradle.kts`:
 [source,kotlin]
 ----
 dependencies {
-    implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.55.0"))
+    implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.56.0"))
 
     implementation("sk.ainet.transformers:skainet-transformers-runtime-kllama")
     implementation("sk.ainet.transformers:skainet-transformers-agent")
@@ -41,7 +41,7 @@ Or in Maven (Maven needs the `-jvm` classifier suffix on platform artifacts):
     <dependency>
       <groupId>sk.ainet.transformers</groupId>
       <artifactId>skainet-transformers-bom</artifactId>
-      <version>0.55.0</version>
+      <version>0.56.0</version>
       <type>pom</type>
       <scope>import</scope>
     </dependency>

docs/modules/ROOT/pages/tutorials/getting-started-leaf.adoc

@@ -34,7 +34,7 @@ encoder output to the advertised dimensionality. The runtime applies it automati
 [source,kotlin]
 ----
 dependencies {
-    implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.55.0"))
+    implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.56.0"))
     implementation("sk.ainet.transformers:skainet-transformers-providers")
 }
 ----

docs/modules/ROOT/pages/tutorials/llama3-tool-calling.adoc

@@ -52,7 +52,7 @@ The pieces you need live in three modules:
 [source,kotlin]
 ----
 dependencies {
-    implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.55.0"))
+    implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.56.0"))
 
     implementation("sk.ainet.transformers:skainet-transformers-runtime-kllama")
     implementation("sk.ainet.transformers:skainet-transformers-agent")

docs/modules/ROOT/pages/tutorials/parallel-attention-getting-started.adoc

@@ -10,7 +10,7 @@ schedule only decides where the work runs.
 
 * JDK 21+ (the JVM is the only target with a parallel schedule; others run `Schedule.Sequential`).
 * A Llama 3.2 or Qwen3 GGUF, for example `Llama-3.2-1B-Instruct-Q8_0.gguf`.
-* SKaiNET-transformers 0.55.0 or later.
+* SKaiNET-transformers 0.56.0 or later.
 
 == Step 1: Dependencies
 

gradle.properties

@@ -1,5 +1,5 @@
 GROUP=sk.ainet.transformers
-VERSION_NAME=0.55.0
+VERSION_NAME=0.56.0
 
 POM_DESCRIPTION=SKaiNET-transformers
 

llm-inference/gemma/README.md

@@ -4,7 +4,7 @@ Reusable **Gemma** model (incl. the FunctionGemma tool-calling fine-tune) author
 a portable graph producer with **no runtime/board/Torq code**. Pair it with the runtime module below to
 decode on-device.
 
-- **Coordinate:** `sk.ainet.transformers:skainet-transformers-inference-gemma:0.55.0`
+- **Coordinate:** `sk.ainet.transformers:skainet-transformers-inference-gemma:0.56.0`
 - **Targets:** `android`, `iosArm64`, `iosSimulatorArm64`, `macosArm64`, `linuxX64`, `linuxArm64` (broadly
   portable — mobile through server).
 - **Entry point:** `gemmaNetwork()` / `GemmaNetworkLoader` (loads a GGUF, builds the DSL graph, incl. the
@@ -24,8 +24,8 @@ FunctionGemma has a one-liner facade in `…:skainet-transformers-runtime-kgemma
 
 ```kotlin
 dependencies {
-    implementation("sk.ainet.transformers:skainet-transformers-inference-gemma:0.55.0")
-    implementation("sk.ainet.transformers:skainet-transformers-runtime-gemma-iree:0.55.0") // on-device decode
+    implementation("sk.ainet.transformers:skainet-transformers-inference-gemma:0.56.0")
+    implementation("sk.ainet.transformers:skainet-transformers-runtime-gemma-iree:0.56.0") // on-device decode
 }
 ```