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Paddle/paddle/gserver/CMakeLists.txt

145 lines
4.6 KiB

# Gserver package contains:
# * Layers
# * Activations
# * DataProviders
# * Evaluators
# * GradientMachines(NeuralNetwork)
file(GLOB_RECURSE GSERVER_HEADER RELATIVE "${CMAKE_CURRENT_SOURCE_DIR}" "*.h")
file(GLOB_RECURSE GSERVER_SOURCES RELATIVE "${CMAKE_CURRENT_SOURCE_DIR}" "*.cpp")
set(GSERVER_SOURCES
layers/LstmCompute.cu
layers/GruCompute.cu
${GSERVER_SOURCES})
macro(filter_test VAR_NAME)
set(tmp)
foreach(p IN LISTS ${VAR_NAME})
if(NOT ${p} MATCHES ".*tests/.*")
set(tmp ${p} ${tmp})
endif()
endforeach()
set(${VAR_NAME} ${tmp})
endmacro()
filter_test(GSERVER_HEADER)
filter_test(GSERVER_SOURCES)
if(NOT WITH_MKLDNN)
file(GLOB_RECURSE DNN_HEADER RELATIVE "${CMAKE_CURRENT_SOURCE_DIR}" "MKLDNN*.h")
file(GLOB_RECURSE DNN_SOURCES RELATIVE "${CMAKE_CURRENT_SOURCE_DIR}" "MKLDNN*.cpp")
list(REMOVE_ITEM GSERVER_HEADER ${DNN_HEADER})
list(REMOVE_ITEM GSERVER_SOURCES ${DNN_SOURCES})
message(STATUS "Skip compiling with MKLDNNLayers and MKLDNNActivations")
else()
message(STATUS "Compile with MKLDNNLayers and MKLDNNActivations")
endif()
if(NOT WITH_GPU)
list(REMOVE_ITEM GSERVER_HEADER
layers/CudnnConvBaseLayer.h
layers/CudnnConvLayer.h
layers/CudnnConvTransLayer.h
layers/CudnnPoolLayer.h
layers/CudnnBatchNormLayer.h)
list(REMOVE_ITEM GSERVER_SOURCES
layers/CudnnConvBaseLayer.cpp
layers/CudnnConvLayer.cpp
layers/CudnnConvTransLayer.cpp
layers/CudnnPoolLayer.cpp
layers/CudnnBatchNormLayer.cpp)
compile_cu_as_cpp(layers/LstmCompute.cu)
compile_cu_as_cpp(layers/GruCompute.cu)
endif()
if(NOT WITH_PYTHON)
list(REMOVE_ITEM GSERVER_SOURCES
dataproviders/PyDataProvider.cpp)
list(REMOVE_ITEM GSERVER_HEADER
dataproviders/PyDataProvider.h)
endif()
if(MOBILE_INFERENCE)
# Remove evaluators
list(REMOVE_ITEM GSERVER_SOURCES
layers/ValidationLayer.cpp
evaluators/Evaluator.cpp
evaluators/DetectionMAPEvaluator.cpp
evaluators/CTCErrorEvaluator.cpp
evaluators/ChunkEvaluator.cpp)
# Remove dataproviders
list(REMOVE_ITEM GSERVER_SOURCES
dataproviders/DataProvider.cpp
dataproviders/MultiDataProvider.cpp
dataproviders/PyDataProvider2.cpp
dataproviders/PyDataProvider.cpp)
# Remove useless gradientmachines
list(REMOVE_ITEM GSERVER_SOURCES
gradientmachines/MultiNetwork.cpp
gradientmachines/RecurrentGradientMachine.cpp
gradientmachines/ParallelNeuralNetwork.cpp
gradientmachines/GradientMachineMode.cpp
gradientmachines/MultiGradientMachine.cpp)
# Remove layers that used in training
list(REMOVE_ITEM GSERVER_SOURCES
layers/RecurrentLayerGroup.cpp
layers/CostLayer.cpp
layers/MultiBoxLossLayer.cpp
layers/WarpCTCLayer.cpp
layers/CTCLayer.cpp
layers/LinearChainCTC.cpp
layers/PrintLayer.cpp)
list(REMOVE_ITEM GSERVER_SOURCES
layers/OuterProdLayer.cpp
layers/SumToOneNormLayer.cpp
layers/ConvShiftLayer.cpp
layers/InterpolationLayer.cpp
layers/AgentLayer.cpp
layers/DotMulOperator.cpp
layers/GruStepLayer.cpp
layers/LstmStepLayer.cpp
layers/ConvexCombinationLayer.cpp
layers/Conv3DLayer.cpp
layers/DeConv3DLayer.cpp
layers/CropLayer.cpp
layers/CrossEntropyOverBeam.cpp
layers/DataNormLayer.cpp
layers/FeatureMapExpandLayer.cpp
layers/HierarchicalSigmoidLayer.cpp
layers/MultinomialSampler.cpp
layers/NCELayer.cpp
layers/KmaxSeqScoreLayer.cpp
layers/MDLstmLayer.cpp
layers/MultiplexLayer.cpp
layers/PadLayer.cpp
layers/Pool3DLayer.cpp
layers/ResizeLayer.cpp
layers/RotateLayer.cpp
layers/RowConvLayer.cpp
layers/RowL2NormLayer.cpp
layers/SamplingIdLayer.cpp
layers/ScaleShiftLayer.cpp
layers/SelectiveFullyConnectedLayer.cpp
layers/SpatialPyramidPoolLayer.cpp
layers/BilinearInterpLayer.cpp
layers/ClipLayer.cpp)
endif()
if(WITH_GPU)
cuda_add_library(paddle_gserver ${GSERVER_SOURCES})
else()
add_library(paddle_gserver STATIC
${GSERVER_SOURCES})
endif()
add_style_check_target(paddle_gserver ${GSERVER_SOURCES})
add_style_check_target(paddle_gserver ${GSERVER_HEADER})
add_dependencies(paddle_gserver paddle_proto ${external_project_dependencies})
if(WITH_TESTING)
add_subdirectory(tests)
endif()