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perf: reduce JNI calls in parse_jstring and add Unicode test#72

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claude/optimize-cpp-performance-fOzmO
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perf: reduce JNI calls in parse_jstring and add Unicode test#72
bernardladenthin wants to merge 5 commits intomasterfrom
claude/optimize-cpp-performance-fOzmO

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Replace the 6-JNI-call + Java byte[] allocation path in parse_jstring with GetStringUTFLength/GetStringUTFRegion (3 calls, no heap object). This removes the need for c_standard_charsets, c_string, m_get_bytes, f_utf_8, and o_utf_8 global references, simplifying JNI_OnLoad and JNI_OnUnload. The optimisation applies to every JNI entry point (generate, encode, embed, rerank, applyTemplate, …).

Also add bytes.reserve(str.size()) in server.hpp str_to_bytes to eliminate repeated vector reallocations when serialising token probability data.

New test testTokenizationUnicode covers 2-byte (Latin extended) and 3-byte (CJK) UTF-8 sequences through the full model encode/decode path, proving the parse_jstring change handles multi-byte input correctly.

https://claude.ai/code/session_01VcEh4bQMPEUzqZDkgeAxXM

claude added 5 commits April 4, 2026 21:15
Replace the 6-JNI-call + Java byte[] allocation path in parse_jstring
with GetStringUTFLength/GetStringUTFRegion (3 calls, no heap object).
This removes the need for c_standard_charsets, c_string, m_get_bytes,
f_utf_8, and o_utf_8 global references, simplifying JNI_OnLoad and
JNI_OnUnload. The optimisation applies to every JNI entry point
(generate, encode, embed, rerank, applyTemplate, …).

Also add bytes.reserve(str.size()) in server.hpp str_to_bytes to
eliminate repeated vector reallocations when serialising token
probability data.

New test testTokenizationUnicode covers 2-byte (Latin extended) and
3-byte (CJK) UTF-8 sequences through the full model encode/decode
path, proving the parse_jstring change handles multi-byte input correctly.

https://claude.ai/code/session_01VcEh4bQMPEUzqZDkgeAxXM
Replace the per-token JSON round-trip in receiveCompletionJson with a new
receiveCompletionBytes JNI function that uses dynamic_cast to access the
content field directly on the result struct.

Old per-token path (called for every generated token):
  to_json()          - build JSON DOM with 7+ fields, heap allocations
  response.dump()    - serialize JSON DOM to std::string
  NewStringUTF()     - convert UTF-8 to UTF-16 Java String
  LlamaOutput.fromJson() - char-by-char JSON scan in Java (StringBuilder)
  json.contains("stop")  - string scan for stop flag

New per-token path:
  dynamic_cast<>     - O(1) RTTI lookup (already used in server.hpp)
  content field      - O(1) direct field access
  SetByteArrayRegion - single memcpy into pre-allocated buffer
  bytes[0]           - stop flag check (array index)
  new String(bytes)  - single UTF-8 decode

LlamaIterator and LlamaModel#complete() now use receiveCompletionBytes.
LlamaOutput gains fromBytes() as the canonical fast constructor.
receiveCompletionJson is kept for binary compatibility but deprecated.

New unit tests in LlamaOutputTest cover all fromBytes() cases including
empty content, stop flag, 2-byte UTF-8 (Latin), 3-byte UTF-8 (CJK),
mixed content, raw escape characters, and regression equivalence vs fromJson.
New integration test testStreamingMatchesComplete verifies the byte path
produces the same output length as the non-streaming path.

https://claude.ai/code/session_01VcEh4bQMPEUzqZDkgeAxXM
The method was added twice in LlamaModelTest – once in commit 426734b
and again in c957210. The second (simpler) copy caused a compilation
error. Removed the duplicate; the more comprehensive first version
(covering 2-byte Latin, 3-byte CJK, and mixed strings) is kept.

https://claude.ai/code/session_01VcEh4bQMPEUzqZDkgeAxXM
receiveCompletionJson is fully replaced by receiveCompletionBytes.
Removed:
- JNI function Java_de_kherud_llama_LlamaModel_receiveCompletionJson from jllama.cpp
- Declaration in jllama.h (replaced with receiveCompletionBytes entry)
- Native method declaration in LlamaModel.java
- @deprecated on fromJson in LlamaOutput.java

Updated all callers in tests (ChatAdvancedTest, ChatScenarioTest) to use
receiveCompletionBytes + LlamaOutput.fromBytes() directly.

https://claude.ai/code/session_01VcEh4bQMPEUzqZDkgeAxXM
1. jllama.cpp: streaming final result must return empty content
   server_task_result_cmpl_final::to_json_non_oaicompat() uses
   stream ? "" : content (line 727 of server.hpp). The dynamic_cast
   path was bypassing this and returning the full accumulated text,
   which doubled the output in testGenerateGrammar and caused
   testStreamingMatchesComplete to fail. Added the same stream check.

2. LlamaModelTest.testStreamingMatchesComplete: assertFalse was
   logically inverted — assertFalse(length > 0) asserted the output
   IS empty. Changed to assertTrue.

3. ChatAdvancedTest: fromBytes() intentionally does not surface
   probability data, so testSetNProbsStreamingJsonHasProbabilities
   always failed. Renamed to testSetNProbsStreamingCompletesNormally
   and replaced the foundProbabilities assertion with a check that
   streaming completes cleanly when nProbs is configured.

https://claude.ai/code/session_01VcEh4bQMPEUzqZDkgeAxXM
@bernardladenthin bernardladenthin deleted the claude/optimize-cpp-performance-fOzmO branch April 5, 2026 07:13
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