add dnnl dependency in unittest.cmake (#14104)

### Description
It's from the PR #14085 
On multiple running msbuilds , it throws the exception of
```
22-12-30T16:35:34.2423207Z ##[error]C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\MSBuild\Microsoft\VC\v160\Microsoft.CppCommon.targets(155,5): Error MSB3073: The command "setlocal
"C:\Program Files\CMake\bin\cmake.exe" -E copy D:/a/_work/1/b/RelWithDebInfo/dnnl/install/bin/dnnl.dll D:/a/_work/1/b/RelWithDebInfo/RelWithDebInfo
if %errorlevel% neq 0 goto :cmEnd
:cmEnd
endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone
:cmErrorLevel
exit /b %1
:cmDone
if %errorlevel% neq 0 goto :VCEnd
:VCEnd" exited with code 1.
```

https://dev.azure.com/onnxruntime/onnxruntime/_build/results?buildId=847423&view=logs&j=249e9d58-0012-5814-27cf-6a201adbd9cf&t=182b9780-832e-5dcb-3957-d6aa3ece582f
It should make sure that the onnxruntime_test_all project depends on
dnnl project.
This commit is contained in:
Yi Zhang 2023-01-03 11:24:06 +08:00 committed by GitHub
parent 613920d6c5
commit 52e3fe961d
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GPG key ID: 4AEE18F83AFDEB23

View file

@ -467,6 +467,10 @@ if(onnxruntime_USE_DML)
list(APPEND onnxruntime_test_providers_dependencies onnxruntime_providers_dml)
endif()
if(onnxruntime_USE_DNNL)
list(APPEND onnxruntime_test_providers_dependencies onnxruntime_providers_dnnl)
endif()
if(onnxruntime_USE_MIGRAPHX)
list(APPEND onnxruntime_test_framework_libs onnxruntime_providers_migraphx)
list(APPEND onnxruntime_test_providers_dependencies onnxruntime_providers_migraphx onnxruntime_providers_shared)
@ -596,8 +600,8 @@ file(GLOB onnxruntime_test_framework_src CONFIGURE_DEPENDS
${onnxruntime_test_framework_src_patterns}
)
#This is a small wrapper library that shouldn't use any onnxruntime internal symbols(except onnxruntime_common).
#Because it could dynamically link to onnxruntime. Otherwise you will have two copies of onnxruntime in the same
#This is a small wrapper library that shouldn't use any onnxruntime internal symbols(except onnxruntime_common).
#Because it could dynamically link to onnxruntime. Otherwise you will have two copies of onnxruntime in the same
#process and you won't know which one you are testing.
onnxruntime_add_static_library(onnxruntime_test_utils ${onnxruntime_test_utils_src})
if(MSVC)
@ -709,7 +713,7 @@ endif()
set(test_all_args)
if (onnxruntime_USE_TENSORRT)
if (onnxruntime_SKIP_AND_PERFORM_FILTERED_TENSORRT_TESTS)
# TRT EP package pipelines takes much longer time to run tests with TRT 8.5. We can't use placeholder to reduce testing time due to application test deadlock.
# TRT EP package pipelines takes much longer time to run tests with TRT 8.5. We can't use placeholder to reduce testing time due to application test deadlock.
# Therefore we only run filtered TRT EP tests.
list(APPEND test_all_args "--gtest_filter=*tensorrt_*:*TensorrtExecutionProviderTest*" )
#list(APPEND test_all_args "--gtest_filter=-*cpu_*:*cuda_*:*ContribOpTest*:*QuantGemmTest*:*QLinearConvTest*:*MurmurHash3OpTest*:*PadOpTest*:*QLinearConvTest*" )
@ -1009,7 +1013,7 @@ if(onnxruntime_ENABLE_EAGER_MODE)
onnxruntime_optimizer
onnxruntime_providers
onnxruntime_util
onnxruntime_framework
onnxruntime_framework
onnxruntime_graph
${ONNXRUNTIME_MLAS_LIBS}
onnxruntime_common
@ -1079,7 +1083,7 @@ if (NOT onnxruntime_ENABLE_TRAINING_TORCH_INTEROP)
if (onnxruntime_BUILD_SHARED_LIB)
#It will dynamically link to onnxruntime. So please don't add onxruntime_graph/onxruntime_framework/... here.
#onnxruntime_common is kind of ok because it is thin, tiny and totally stateless.
#onnxruntime_common is kind of ok because it is thin, tiny and totally stateless.
set(onnxruntime_perf_test_libs
onnx_test_runner_common onnxruntime_test_utils onnxruntime_common
onnxruntime onnxruntime_flatbuffers onnx_test_data_proto
@ -1253,8 +1257,8 @@ if (NOT onnxruntime_ENABLE_TRAINING_TORCH_INTEROP)
endif()
if (CMAKE_SYSTEM_NAME STREQUAL "Android")
target_link_libraries(onnxruntime_mlas_test PRIVATE ${android_shared_libs})
endif()
endif()
if(WIN32)
target_link_libraries(onnxruntime_mlas_test PRIVATE debug Dbghelp Advapi32)
endif()