Files
llama.cpp/tests/CMakeLists.txt
T
Georgi Gerganov 4e97ac86eb tests : run test-save-load-state across all architectures (#27755)
* tests : run test-save-load-state across all architectures

test-save-load-state previously only ran in ctest against a single
downloaded model (tinyllamas/stories15M), i.e. only the llama arch.

Add a --models DIR mode to test-save-load-state that runs the full
save/load suite over every *.gguf in a directory, reporting a
per-model PASS/FAIL and exiting non-zero if any model fails, and wire
a ctest to run it over all architectures using the existing
generate-models fixture (test-llama-archs). The single-model -m mode
is preserved (still used by ci/run.sh).

Also bump the dummy-model training context in test-llama-archs from
128 to 256 so that the per-sequence context (which is padded up to a
multiple of 256) no longer exceeds n_ctx_train and emits the
"possible training context overflow" warning.

The test is expected to fail until the affected arches are fixed:
deepseek4 (host seq-copy), gemma2/gpt-oss/lfm2 (device seq-copy),
minimax-01 (state load). It aborts at the first arch that crashes.

Assisted-by: pi:llama.cpp/Qwen3.8-27B

* tests : match dummy DSA indexer to fused Lightning Indexer kernel

The dummy DSA indexer (deepseek32, glm-dsa, ...) used key_length=64 and head_count=1, so the fused Lightning Indexer op's q tensor was shaped [64, 1, ...]. The Metal fused kernel is fixed to DK=128, NH=64, so it rejected the op and the scheduler fell back to CPU, emitting a 'layer assigned to MTL but Lightning Indexer on CPU' warning. Bump key_length to 128 and the DSA head_count to 64 so the fused op runs on the GPU.

Assisted-by: pi:llama.cpp/Qwen3.8-27B

* tests : add --help and document -o in test-llama-archs

Add a --help/-h flag to test-llama-archs and list the existing -o/--out option in the usage text, which was previously missing.

Assisted-by: pi:llama.cpp/Qwen3.8-27B

* tests : use 64 indexer heads for deepseek4

deepseek4's indexer head count was set to n_head (8), which does not match the fused Lightning Indexer kernel's fixed NH=64, so the fused op fell back to the CPU backend and emitted a device-mismatch warning. Give it the same fixed 64 as the other indexer archs by dropping it from the n_head ternary (only minimax-m3 keeps n_head, since it does not use the fused Lightning Indexer op).

Assisted-by: pi:llama.cpp/Qwen3.8-27B

* tests : fix dsv4 save-load n_stream mismatch

The dsv4 KV cache keeps per-sequence KV/state streams even in unified mode, so its n_stream equals n_seq_max. The test saved the state in the baseline with n_seq_max=1 but loaded it in the seq-copy tests with n_seq_max=2, so state_read threw an n_stream mismatch. Use n_seq_max=2 in the baseline and state-load tests so the save and load agree.

Assisted-by: pi:llama.cpp/Qwen3.8-27B

* context : relax on-device seq-copy chunk alignment

The on-device state seq copy (llama_state_seq_set_data with LLAMA_STATE_SEQ_FLAGS_ON_DEVICE) copied the write-side cpy tensors to the read-side targets 1:1 by index, requiring the writer and reader to emit the same number of chunks in the same order with the same per-chunk sizes. state_write_data chunks per cell-range while state_read_data chunks contiguous-or-per-cell, so the counts diverged for non-contiguous sources (dsv4, SWA) and the copy aborted with "memory buffer mismatch".

All state writers and readers enumerate the same logical data in the same order, differing only in chunking. Copy the flat write-side data into the read-side targets with a byte cursor that walks both tensor lists across their boundaries, so the chunking no longer needs to match. Keep the total-size guard; drop the n_tensors equality check.

Assisted-by: pi:llama.cpp/Qwen3.8-27B

* model : fix dangling hparams ref in minimax-01 LA graph input
llm_graph_input_la stored const llama_hparams & hparams, bound to the llm_graph_params temporary in llama_context::process_ubatch. The input object outlives that temporary (it is kept in llm_graph_result::inputs for graph reuse), so set_input() read destroyed stack memory on every graph reuse - test-save-load-state crashed for minimax-01 when the stack region was overwritten (n_layer_all read as 0, abort in llama_hparams::n_head). Store a copy like every other graph input class.
Assisted-by: pi:llama.cpp/Qwen3.8-27B

* context : handle "worst case" graph and add TODO
2026-08-28 09:45:19 +03:00

372 lines
15 KiB
CMake

llama_add_compile_flags()
function(llama_build source)
set(TEST_SOURCES ${source} ${ARGN})
if (DEFINED LLAMA_TEST_NAME)
set(TEST_TARGET ${LLAMA_TEST_NAME})
else()
get_filename_component(TEST_TARGET ${source} NAME_WE)
endif()
add_executable(${TEST_TARGET} ${TEST_SOURCES})
target_link_libraries(${TEST_TARGET} PRIVATE llama llama-common)
if (LLAMA_TESTS_INSTALL)
install(TARGETS ${TEST_TARGET} RUNTIME)
endif()
endfunction()
function(llama_test target)
include(CMakeParseArguments)
set(options)
set(oneValueArgs NAME LABEL WORKING_DIRECTORY)
set(multiValueArgs ARGS)
cmake_parse_arguments(LLAMA_TEST "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
if (NOT DEFINED LLAMA_TEST_LABEL)
set(LLAMA_TEST_LABEL "main")
endif()
if (NOT DEFINED LLAMA_TEST_WORKING_DIRECTORY)
set(LLAMA_TEST_WORKING_DIRECTORY .)
endif()
if (DEFINED LLAMA_TEST_NAME)
set(TEST_NAME ${LLAMA_TEST_NAME})
else()
set(TEST_NAME ${target})
endif()
set(TEST_TARGET ${target})
add_test(
NAME ${TEST_NAME}
WORKING_DIRECTORY ${LLAMA_TEST_WORKING_DIRECTORY}
COMMAND $<TARGET_FILE:${TEST_TARGET}>
${LLAMA_TEST_ARGS})
set_property(TEST ${TEST_NAME} PROPERTY LABELS ${LLAMA_TEST_LABEL})
endfunction()
function(llama_test_cmd target)
include(CMakeParseArguments)
set(options)
set(oneValueArgs NAME LABEL WORKING_DIRECTORY)
set(multiValueArgs ARGS)
cmake_parse_arguments(LLAMA_TEST "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
if (NOT DEFINED LLAMA_TEST_LABEL)
set(LLAMA_TEST_LABEL "main")
endif()
if (NOT DEFINED LLAMA_TEST_WORKING_DIRECTORY)
set(LLAMA_TEST_WORKING_DIRECTORY .)
endif()
if (DEFINED LLAMA_TEST_NAME)
set(TEST_NAME ${LLAMA_TEST_NAME})
else()
set(TEST_NAME ${target})
endif()
add_test(
NAME ${TEST_NAME}
WORKING_DIRECTORY ${LLAMA_TEST_WORKING_DIRECTORY}
COMMAND ${target}
${LLAMA_TEST_ARGS})
set_property(TEST ${TEST_NAME} PROPERTY LABELS ${LLAMA_TEST_LABEL})
endfunction()
# Builds and runs a test source file.
# Optional args:
# - NAME: name of the executable & test target (defaults to the source file name without extension)
# - LABEL: label for the test (defaults to main)
# - ARGS: arguments to pass to the test executable
# - WORKING_DIRECTORY
function(llama_build_and_test source)
include(CMakeParseArguments)
set(options)
set(oneValueArgs NAME LABEL WORKING_DIRECTORY)
set(multiValueArgs ARGS)
cmake_parse_arguments(LLAMA_TEST "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
set(TEST_SOURCES ${source} ${LLAMA_TEST_UNPARSED_ARGUMENTS})
if (NOT DEFINED LLAMA_TEST_LABEL)
set(LLAMA_TEST_LABEL "main")
endif()
if (NOT DEFINED LLAMA_TEST_WORKING_DIRECTORY)
set(LLAMA_TEST_WORKING_DIRECTORY .)
endif()
if (DEFINED LLAMA_TEST_NAME)
set(TEST_TARGET ${LLAMA_TEST_NAME})
else()
get_filename_component(TEST_TARGET ${source} NAME_WE)
endif()
add_executable(${TEST_TARGET} ${TEST_SOURCES})
if (LLAMA_TESTS_INSTALL)
install(TARGETS ${TEST_TARGET} RUNTIME)
endif()
target_link_libraries(${TEST_TARGET} PRIVATE llama-common)
add_test(
NAME ${TEST_TARGET}
WORKING_DIRECTORY ${LLAMA_TEST_WORKING_DIRECTORY}
COMMAND $<TARGET_FILE:${TEST_TARGET}>
${LLAMA_TEST_ARGS})
set_property(TEST ${TEST_TARGET} PROPERTY LABELS ${LLAMA_TEST_LABEL})
endfunction()
# build test-tokenizer-0 target once and add many tests
llama_build(test-tokenizer-0.cpp)
llama_test(test-tokenizer-0 NAME test-tokenizer-0-bert-bge ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-bert-bge.gguf)
llama_test(test-tokenizer-0 NAME test-tokenizer-0-command-r ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-command-r.gguf)
llama_test(test-tokenizer-0 NAME test-tokenizer-0-deepseek-coder ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-deepseek-coder.gguf)
llama_test(test-tokenizer-0 NAME test-tokenizer-0-deepseek-llm ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-deepseek-llm.gguf)
llama_test(test-tokenizer-0 NAME test-tokenizer-0-falcon ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-falcon.gguf)
llama_test(test-tokenizer-0 NAME test-tokenizer-0-gemma-4 ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-gemma-4.gguf)
llama_test(test-tokenizer-0 NAME test-tokenizer-0-gpt-2 ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-gpt-2.gguf)
llama_test(test-tokenizer-0 NAME test-tokenizer-0-llama-bpe ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-llama-bpe.gguf)
llama_test(test-tokenizer-0 NAME test-tokenizer-0-llama-spm ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-llama-spm.gguf)
llama_test(test-tokenizer-0 NAME test-tokenizer-0-mpt ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-mpt.gguf)
llama_test(test-tokenizer-0 NAME test-tokenizer-0-phi-3 ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-phi-3.gguf)
llama_test(test-tokenizer-0 NAME test-tokenizer-0-qwen2 ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-qwen2.gguf)
llama_test(test-tokenizer-0 NAME test-tokenizer-0-qwen35 ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-qwen35.gguf)
llama_test(test-tokenizer-0 NAME test-tokenizer-0-refact ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-refact.gguf)
llama_test(test-tokenizer-0 NAME test-tokenizer-0-starcoder ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-starcoder.gguf)
if (NOT WIN32)
llama_test_cmd(
${CMAKE_CURRENT_SOURCE_DIR}/test-tokenizers-repo.sh
NAME test-tokenizers-ggml-vocabs
WORKING_DIRECTORY ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}
ARGS https://huggingface.co/ggml-org/vocabs ${PROJECT_SOURCE_DIR}/models/ggml-vocabs
)
endif()
if (LLAMA_LLGUIDANCE)
llama_build_and_test(test-grammar-llguidance.cpp ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-llama-bpe.gguf)
endif ()
llama_build(test-recurrent-state-rollback.cpp)
llama_build(test-save-load-state.cpp)
if (NOT WIN32 OR NOT BUILD_SHARED_LIBS)
# these tests are disabled on Windows because they use internal functions not exported with LLAMA_API (when building with shared libraries)
llama_build_and_test(test-unicode.cpp)
llama_build_and_test(test-sampling.cpp)
llama_build_and_test(test-reasoning-budget.cpp)
llama_build_and_test(test-grammar-parser.cpp)
llama_build_and_test(test-grammar-integration.cpp)
llama_build_and_test(test-llama-grammar.cpp)
llama_build_and_test(test-batch-alloc.cpp)
llama_build_and_test(test-chat.cpp WORKING_DIRECTORY ${PROJECT_SOURCE_DIR})
target_include_directories(test-chat PRIVATE ${PROJECT_SOURCE_DIR}/tools/server)
target_link_libraries(test-chat PRIVATE server-context)
# TODO: disabled on loongarch64 because the ggml-ci node lacks Python 3.8
if (NOT ${CMAKE_SYSTEM_PROCESSOR} MATCHES "loongarch64")
llama_build_and_test(test-json-schema-to-grammar.cpp WORKING_DIRECTORY ${PROJECT_SOURCE_DIR})
target_include_directories(test-json-schema-to-grammar PRIVATE ${PROJECT_SOURCE_DIR}/tools/server)
endif()
if (NOT GGML_BACKEND_DL)
llama_build(test-quantize-stats.cpp)
endif()
llama_build(test-gbnf-validator.cpp)
# build test-tokenizer-1-bpe target once and add many tests
llama_build(test-tokenizer-1-bpe.cpp)
# TODO: disabled due to slowness
#llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-aquila ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-aquila.gguf)
#llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-falcon ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-falcon.gguf)
#llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-gpt-2 ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-gpt-2.gguf)
#llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-gpt-neox ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-gpt-neox.gguf)
#llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-llama-bpe ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-llama-bpe.gguf --ignore-merges)
#llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-mpt ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-mpt.gguf)
#llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-refact ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-refact.gguf)
#llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-starcoder ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-starcoder.gguf)
# build test-tokenizer-1-spm target once and add many tests
llama_build(test-tokenizer-1-spm.cpp)
llama_test(test-tokenizer-1-spm NAME test-tokenizer-1-llama-spm ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-llama-spm.gguf)
#llama_test(test-tokenizer-1-spm NAME test-tokenizer-1-baichuan ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-baichuan.gguf)
# llama_build_and_test(test-double-float.cpp) # SLOW
llama_build_and_test(test-llama-archs.cpp)
set(MODEL_DIR "${CMAKE_CURRENT_BINARY_DIR}/test-models/")
file(MAKE_DIRECTORY "${MODEL_DIR}")
llama_test(
test-llama-archs
NAME test-generate-models
LABEL main
ARGS -o "${MODEL_DIR}"
)
set_tests_properties(test-generate-models PROPERTIES
FIXTURES_SETUP generate-models
)
llama_test(
test-recurrent-state-rollback
LABEL main
ARGS -m "${MODEL_DIR}/qwen35-dense.gguf"
)
set_tests_properties(test-recurrent-state-rollback PROPERTIES
FIXTURES_REQUIRED generate-models
)
llama_test(
test-recurrent-state-rollback
NAME test-recurrent-state-rollback-nemotron-h
LABEL main
ARGS -m "${MODEL_DIR}/nemotron_h-dense.gguf"
)
set_tests_properties(test-recurrent-state-rollback-nemotron-h PROPERTIES
FIXTURES_REQUIRED generate-models
)
llama_test(
test-recurrent-state-rollback
NAME test-recurrent-state-rollback-dsv4
LABEL main
ARGS -m "${MODEL_DIR}/deepseek4-moe.gguf"
)
set_tests_properties(test-recurrent-state-rollback-dsv4 PROPERTIES
FIXTURES_REQUIRED generate-models
)
# Test state save/load functionality across all architectures, using the generated dummy models
llama_test(
test-save-load-state
LABEL main
ARGS --models "${MODEL_DIR}"
)
set_tests_properties(test-save-load-state PROPERTIES FIXTURES_REQUIRED generate-models)
endif()
llama_build_and_test(test-chat-peg-parser.cpp peg-parser/simple-tokenize.cpp)
llama_build_and_test(test-jinja.cpp)
llama_test(test-jinja NAME test-jinja-py ARGS -py LABEL python)
llama_build_and_test(test-chat-auto-parser.cpp WORKING_DIRECTORY ${PROJECT_SOURCE_DIR})
llama_build_and_test(test-chat-template.cpp)
# debug tool for chat template differential analysis (not registered as a test, run it manually)
llama_build(test-chat-analysis.cpp)
llama_build_and_test(test-log.cpp)
llama_build_and_test(
test-peg-parser.cpp
peg-parser/simple-tokenize.cpp
peg-parser/test-basic.cpp
peg-parser/test-gbnf-generation.cpp
peg-parser/test-json-parser.cpp
peg-parser/test-json-serialization.cpp
peg-parser/test-python-dict-parser.cpp
peg-parser/test-unicode.cpp
peg-parser/tests.h
)
if (NOT ${CMAKE_SYSTEM_PROCESSOR} MATCHES "s390x")
set(MODEL_NAME "tinyllamas/stories15M-q4_0.gguf")
set(MODEL_HASH "SHA256=66967fbece6dbe97886593fdbb73589584927e29119ec31f08090732d1861739")
else()
set(MODEL_NAME "tinyllamas/stories15M-be.Q4_0.gguf")
set(MODEL_HASH "SHA256=9aec857937849d976f30397e97eb1cabb53eb9dcb1ce4611ba8247fb5f44c65d")
endif()
set(MODEL_DEST "${CMAKE_BINARY_DIR}/${MODEL_NAME}")
add_test(NAME test-download-model COMMAND ${CMAKE_COMMAND}
-DDEST=${MODEL_DEST}
-DNAME=${MODEL_NAME}
-DHASH=${MODEL_HASH}
-P ${CMAKE_SOURCE_DIR}/cmake/download-models.cmake
)
set_tests_properties(test-download-model PROPERTIES FIXTURES_SETUP test-download-model)
llama_build_and_test(test-thread-safety.cpp ARGS -m "${MODEL_DEST}" -ngl 99 -p "The meaning of life is" -n 128 -c 256 -ub 32 -np 4 -t 2)
set_tests_properties(test-thread-safety PROPERTIES FIXTURES_REQUIRED test-download-model)
llama_build_and_test(test-arg-parser.cpp)
llama_build_and_test(test-model-resolution.cpp)
# the test serves its repos from an httplib server, and the library links it privately
target_link_libraries(test-model-resolution PRIVATE cpp-httplib)
if (NOT LLAMA_SANITIZE_ADDRESS AND NOT GGML_SCHED_NO_REALLOC)
# TODO: repair known memory leaks
llama_build_and_test(test-opt.cpp)
endif()
llama_build_and_test(test-backend-ops.cpp)
llama_build_and_test(test-model-load-cancel.cpp LABEL "model")
llama_build_and_test(test-autorelease.cpp LABEL "model")
llama_build_and_test(test-backend-sampler.cpp LABEL "model")
# Test for state restore with fragmented KV cache
# Requires a model, uses same args pattern as test-thread-safety
llama_build_and_test(test-state-restore-fragmented.cpp LABEL "model" ARGS -m "${MODEL_DEST}")
set_tests_properties(test-state-restore-fragmented PROPERTIES FIXTURES_REQUIRED test-download-model)
if (APPLE)
llama_build(test-rset-release.cpp)
endif()
if (NOT GGML_BACKEND_DL)
# these tests use the backends directly and cannot be built with dynamic loading
llama_build_and_test(test-barrier.cpp)
llama_build_and_test(test-quantize-fns.cpp)
llama_build_and_test(test-quantize-perf.cpp)
llama_build_and_test(test-rope.cpp)
llama_build_and_test(test-col2im-1d.cpp)
endif()
# libmtmd
set(LLAMA_TEST_NAME test-mtmd-c-api)
llama_build_and_test(test-mtmd-c-api.c)
target_link_libraries(${LLAMA_TEST_NAME} PRIVATE mtmd)
unset(LLAMA_TEST_NAME)
llama_build_and_test(test-mtmd-impl.cpp)
target_link_libraries(test-mtmd-impl PRIVATE mtmd)
# GGUF model data fetcher library for tests that need real model metadata
# Only compile when cpp-httplib has SSL support (CPPHTTPLIB_OPENSSL_SUPPORT)
if (TARGET cpp-httplib)
get_target_property(_cpp_httplib_defs cpp-httplib INTERFACE_COMPILE_DEFINITIONS)
if (_cpp_httplib_defs MATCHES "CPPHTTPLIB_OPENSSL_SUPPORT")
add_library(gguf-model-data STATIC gguf-model-data.cpp)
target_link_libraries(gguf-model-data PRIVATE llama-common cpp-httplib)
target_include_directories(gguf-model-data PUBLIC ${CMAKE_CURRENT_SOURCE_DIR})
add_executable(test-gguf-model-data test-gguf-model-data.cpp)
target_link_libraries(test-gguf-model-data PRIVATE gguf-model-data llama-common)
llama_test(test-gguf-model-data LABEL "model")
# test-quant-type-selection requires gguf-model-data for remote model metadata
llama_build_and_test(test-quant-type-selection.cpp LABEL "model")
target_link_libraries(test-quant-type-selection PRIVATE gguf-model-data)
target_compile_definitions(test-quant-type-selection PRIVATE
SNAPSHOT_DIR="${CMAKE_CURRENT_SOURCE_DIR}/snapshots")
endif()
endif()
# dummy executable - not installed
get_filename_component(TEST_TARGET test-c.c NAME_WE)
add_executable(${TEST_TARGET} test-c.c)
target_link_libraries(${TEST_TARGET} PRIVATE llama)
if (NOT LLAMA_USE_SYSTEM_GGML)
# Needs non-public ggml-impl.h
llama_build_and_test(test-gguf.cpp)
# Needs non-public ggml{,-backend}-impl.h
llama_build_and_test(test-alloc.cpp)
endif()
llama_build(test-export-graph-ops.cpp)
if (TARGET gguf-model-data)
target_link_libraries(test-export-graph-ops PRIVATE gguf-model-data)
target_compile_definitions(test-export-graph-ops PRIVATE LLAMA_HF_FETCH)
endif()