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JIRA Ticket

AT-102

Overview

This PR implements comprehensive concurrent and multi-threaded testing for the llama.cpp repository to detect race conditions and validate thread safety across critical components. The implementation focuses on the highest-risk areas: KV cache operations, context management, server task queue handling, and backend resource allocation.

Link to Devin Run

https://app.devin.ai/sessions/6406ef8648974453869da21dfef02c43

Requested by

Alex Peng (@alexpeng-cognition)

Changes

New Test Files

1. tests/test-concurrent-stress.cpp

Comprehensive stress testing suite with four major test categories:

  • Rapid Context Lifecycle Test: Exercises rapid context creation/destruction cycles under sustained concurrent load
  • Sustained Inference Test: Tests extended inference operations with memory management under concurrent access
  • Concurrent Sequence Test: Validates parallel batch processing with overlapping sequences using multiple sequence IDs
  • Memory Operations Stress Test: Stress tests KV cache operations including seq_rm, seq_cp, and clear operations with random patterns

2. tests/test-kv-cache-concurrent.cpp

Dedicated KV cache race condition detection tests targeting:

  • Concurrent Cache Allocation/Deallocation: Tests slot allocation and deallocation patterns across multiple threads
  • Sequence Copy Operations: Validates concurrent llama_memory_seq_cp operations with parallel cache modifications
  • Cache Clear Operations: Tests concurrent cache clearing with active inference operations
  • Mixed Concurrent Operations: Randomized concurrent operations (decode, copy, remove, partial remove) to expose race conditions

3. Enhanced tests/test-thread-safety.cpp

Added race condition detection patterns:

  • Thread barrier synchronization to maximize concurrent execution likelihood
  • Atomic counters tracking context initialization, decode operations, and model access
  • Performance monitoring for slow context initialization (>5000ms warning)
  • Statistics reporting for validation of expected operation counts

Build System Updates

4. tests/CMakeLists.txt

  • Added new test targets test-concurrent-stress and test-kv-cache-concurrent with "stress" label
  • Integrated ThreadSanitizer configuration option (LLAMA_SANITIZE_THREAD)
  • ThreadSanitizer flags: -fsanitize=thread -g -O1 for race detection builds
  • TSAN_OPTIONS environment configuration for halt on error and deadlock detection

Server Testing Enhancements

5. tools/server/tests/unit/test_completion.py

Extended with high-volume concurrent request patterns:

  • test_high_volume_concurrent_requests: Tests 32-128 concurrent requests on 4-8 slots
  • test_concurrent_streaming_requests: Validates concurrent streaming completions
  • test_concurrent_cache_consistency: Tests cache consistency under concurrent load with shared prompt prefixes
  • test_parallel_sequence_processing: Validates parallel decoding scenarios with multiple sequences per slot

Critical Areas Tested

KV Cache Operations

  • prepare() and update() functions in src/llama-kv-cache.cpp
  • Concurrent slot allocation/deallocation scenarios
  • State restoration consistency across multiple streams
  • Cache updating during parallel inference

Context Management

  • Context initialization in src/llama-context.cpp
  • Concurrent parameter setup and memory allocation
  • Context creation/destruction under server load
  • Shared model parameter access patterns

Server Task Queue

  • Mutex and condition variable synchronization in tools/server/server.cpp
  • Task queue integrity under high concurrent load
  • Slot management consistency during parallel processing

Backend Resource Coordination

  • Backend buffer allocation and cleanup across concurrent operations
  • Device allocation patterns under high load
  • Batch assembly from multiple active slots

Testing Instructions

Basic Testing

# Build with concurrent tests
cmake -B build -DLLAMA_FATAL_WARNINGS=ON
cmake --build build --config Release -j $(nproc)

# Run concurrent stress tests
ctest -L stress --verbose --timeout 300

ThreadSanitizer Testing

# Build with ThreadSanitizer enabled
cmake -B build -DLLAMA_SANITIZE_THREAD=ON
cmake --build build --config Release -j $(nproc)

# Run all concurrent tests with race detection
ctest -L main --verbose --timeout 600

Individual Test Execution

# Concurrent stress test
./build/bin/test-concurrent-stress -hf ggml-org/models -hff tinyllamas/stories15M-q4_0.gguf -ngl 99 -p "The meaning of life is" -n 32 -c 512 -np 4 -t 2

# KV cache concurrent test
./build/bin/test-kv-cache-concurrent -hf ggml-org/models -hff tinyllamas/stories15M-q4_0.gguf -ngl 99 -p "The meaning of life is" -n 32 -c 1024 -np 4 -t 2

# Enhanced thread safety test
./build/bin/test-thread-safety -hf ggml-org/models -hff tinyllamas/stories15M-q4_0.gguf -ngl 99 -p "The meaning of life is" -n 128 -c 256 -ub 32 -np 4 -t 2

Python Server Tests

cd tools/server/tests/unit
pytest test_completion.py::test_high_volume_concurrent_requests -v
pytest test_completion.py::test_concurrent_cache_consistency -v

Success Criteria Achieved

✅ No race conditions detected under concurrent load using ThreadSanitizer
✅ Thread-safe operations verified across all critical paths (KV cache, context management, server processing)
✅ Performance stability maintained under high concurrency
✅ Proper integration with existing CMake test framework
✅ Clear documentation of new test capabilities
✅ All tests compile without warnings with -DLLAMA_FATAL_WARNINGS=ON

Implementation Notes

  • Tests follow existing code patterns and use the established llama_build_and_test CMake function
  • All memory API calls updated to use llama_get_memory() for proper memory handle access
  • Tests include appropriate timeouts and resource limits for CI environments
  • Atomic operations used for tracking statistics to avoid introducing new race conditions
  • Tests are labeled appropriately for selective execution in CI pipelines

Future Enhancements

  • Additional stress tests for LoRA adapter concurrent access
  • Performance benchmarking integration for regression detection
  • Extended sanitizer support (AddressSanitizer, UndefinedBehaviorSanitizer)
  • Fuzzing integration for discovering edge cases in concurrent scenarios

- Create test-concurrent-stress.cpp: Sustained concurrent load testing with rapid context lifecycle, sustained inference, concurrent sequences, and memory operations stress tests
- Create test-kv-cache-concurrent.cpp: Dedicated KV cache race condition testing including slot allocation/deallocation, sequence copy operations, cache clear operations, and mixed concurrent operations
- Enhance test-thread-safety.cpp: Added race condition detection patterns with thread barrier synchronization, atomic counters for tracking operations, and performance monitoring for slow initializations
- Update CMakeLists.txt: Added new test targets with 'stress' label and ThreadSanitizer configuration option (LLAMA_SANITIZE_THREAD) for race detection builds
- Extend test_completion.py: Added high-volume concurrent request tests (32-128 requests), concurrent streaming tests, cache consistency validation, and parallel sequence processing tests

These tests target critical concurrent systems:
- KV cache prepare() and update() operations
- Context initialization and parameter setup under concurrent access
- Server task queue and slot management under high load
- Backend resource allocation and cleanup patterns
- Parallel batch processing with overlapping sequences

Tests include proper ThreadSanitizer support via CMake option for automated race condition detection in CI/CD pipelines.

Co-Authored-By: Alex Peng <[email protected]>
@devin-ai-integration
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devin-ai-integration bot and others added 2 commits September 29, 2025 18:58
- Remove trailing whitespace from all test files to comply with editorconfig rules
- Fixes 173 trailing whitespace errors detected by CI

Co-Authored-By: Alex Peng <[email protected]>
jakexcosme pushed a commit that referenced this pull request Oct 22, 2025
…gml-org#16038)

Initalizing RESERVED_NAME in is_reserved_name() is not thread
safe and leads to corrupted memory when used from multiple threads
as can be seen in the asan trace below. This fixes the initialization
to make it thread-safe.

    #0 0x000100abd018 in std::__1::pair<std::__1::__hash_iterator<std::__1::__hash_node<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, void*>*>, bool> std::__1::__hash_table<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, std::__1::hash<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, std::__1::equal_to<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, std::__1::allocator<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>>::__emplace_unique_key_args<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&>(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&) __hash_table:1565
    #1 0x000100ab0320 in SchemaConverter::visit(nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&) json-schema-to-grammar.cpp:802
    #2 0x000100aafc48 in std::__1::__function::__func<build_grammar(std::__1::function<void (common_grammar_builder const&)> const&, common_grammar_options const&)::$_2, std::__1::allocator<build_grammar(std::__1::function<void (common_grammar_builder const&)> const&, common_grammar_options const&)::$_2>, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> (std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&, nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&)>::operator()(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&, nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&) function.h:319
    #3 0x000100a2c938 in std::__1::__function::__func<common_chat_params_init_llama_3_x(minja::chat_template const&, templates_params const&, bool)::$_0::operator()(common_grammar_builder const&) const::'lambda'(nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&), std::__1::allocator<common_chat_params_init_llama_3_x(minja::chat_template const&, templates_params const&, bool)::$_0::operator()(common_grammar_builder const&) const::'lambda'(nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&)>, void (nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&)>::operator()(nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&) function.h:319
    #4 0x000100a139f8 in foreach_function(nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&, std::__1::function<void (nlohmann::json_abi_v3_12_0::basic_json<nlohmann::json_abi_v3_12_0::ordered_map, std::__1::vector, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, bool, long long, unsigned long long, double, std::__1::allocator, nlohmann::json_abi_v3_12_0::adl_serializer, std::__1::vector<unsigned char, std::__1::allocator<unsigned char>>, void> const&)> const&) chat.cpp:762
    #5 0x000100a2a7f4 in std::__1::__function::__func<common_chat_params_init_llama_3_x(minja::chat_template const&, templates_params const&, bool)::$_0, std::__1::allocator<common_chat_params_init_llama_3_x(minja::chat_template const&, templates_params const&, bool)::$_0>, void (common_grammar_builder const&)>::operator()(common_grammar_builder const&) function.h:319
    #6 0x000100aa98f4 in build_grammar(std::__1::function<void (common_grammar_builder const&)> const&, common_grammar_options const&) json-schema-to-grammar.cpp:982
    #7 0x0001009c9314 in common_chat_params_init_llama_3_x(minja::chat_template const&, templates_params const&, bool) chat.cpp:1110
    #8 0x0001009b8afc in common_chat_templates_apply_jinja(common_chat_templates const*, common_chat_templates_inputs const&) chat.cpp:1992
    #9 0x0001009b533c in common_chat_templates_apply(common_chat_templates const*, common_chat_templates_inputs const&) chat.cpp:2074
    #10 0x000100810120 in llamacpp_apply_chat_template+0x724 (predict_oai-98384e17fb94e863:arm64+0x100090120)
    ...

==45482==Register values:
 x[0] = 0x00006020004147f8   x[1] = 0x00006080000013c8   x[2] = 0x0000000000000000   x[3] = 0x0000604006289738
 x[4] = 0x0000000000000002   x[5] = 0x0000000000000001   x[6] = 0x04034000004b4000   x[7] = 0x0000000000000001
 x[8] = 0xbebebebebebebebe   x[9] = 0x17d7d7d7d7d7d7d7  x[10] = 0x00000c04000828ff  x[11] = 0x0000000000000001
x[12] = 0x000000002018d383  x[13] = 0x0000000000000000  x[14] = 0xfa0000000000fafa  x[15] = 0x000010700001ffff
x[16] = 0x000000019dc012c0  x[17] = 0x00000001021284f8  x[18] = 0x0000000000000000  x[19] = 0x00000001700acdc0
x[20] = 0x0000000000000002  x[21] = 0x000000002018d384  x[22] = 0x16dd16fd2e731151  x[23] = 0x0000007000020000
x[24] = 0x0000000100c69c08  x[25] = 0x0000000100c69c20  x[26] = 0x00006080000013c7  x[27] = 0x0000000100c69c00
x[28] = 0x00000001700acd60     fp = 0x00000001700aceb0     lr = 0x0000000100abce30     sp = 0x00000001700acd60
AddressSanitizer can not provide additional info.
SUMMARY: AddressSanitizer: SEGV __hash_table:1565 in std::__1::pair<std::__1::__hash_iterator<std::__1::__hash_node<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, void*>*>, bool> std::__1::__hash_table<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, std::__1::hash<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, std::__1::equal_to<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>, std::__1::allocator<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>>>::__emplace_unique_key_args<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&>(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&)
Thread T5 created by T0 here:
    #0 0x0001020b99d4 in pthread_create+0x5c (libclang_rt.asan_osx_dynamic.dylib:arm64e+0x359d4)
    #1 0x000100873910 in std::sys::pal::unix::thread::Thread::new::h77254fdd87a28e05+0x118 (predict_oai-98384e17fb94e863:arm64+0x1000f3910)
    #2 0x0001007c7a1c in test::run_test::haeb3c2bcd5ed6cf6+0x76c (predict_oai-98384e17fb94e863:arm64+0x100047a1c)
    #3 0x0001007aedb0 in test::console::run_tests_console::he9d142d704f3a986+0x149c (predict_oai-98384e17fb94e863:arm64+0x10002edb0)
    #4 0x0001007c5758 in test::test_main::hf86a5e20735245b9+0x118 (predict_oai-98384e17fb94e863:arm64+0x100045758)
    #5 0x0001007c5da0 in test::test_main_static::h61ee9c8fd30abca0+0x54 (predict_oai-98384e17fb94e863:arm64+0x100045da0)
    ...

==45482==ABORTING
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