This commit is contained in:
Yangqing Jia 2013-10-15 14:35:14 -07:00
Родитель b21ca1158c
Коммит 7a0659875f
23 изменённых файлов: 38 добавлений и 150 удалений

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@ -6,12 +6,12 @@ TEST_GPUID := 1
NAME := lib$(PROJECT).so
STATIC_NAME := lib$(PROJECT).a
# All source files
CXX_SRCS := $(shell find caffe ! -name "test_*.cpp" -name "*.cpp")
CU_SRCS := $(shell find caffe -name "*.cu")
TEST_SRCS := $(shell find caffe -name "test_*.cpp")
GTEST_SRC := gtest/gtest-all.cpp
PROGRAM_SRCS := $(shell find programs -name "*.cpp")
PROTO_SRCS := $(wildcard caffe/proto/*.proto)
CXX_SRCS := $(shell find src/caffe ! -name "test_*.cpp" -name "*.cpp")
CU_SRCS := $(shell find src/caffe -name "*.cu")
TEST_SRCS := $(shell find src/caffe -name "test_*.cpp")
GTEST_SRC := src/gtest/gtest-all.cpp
EXAMPLE_SRCS := $(shell find examples -name "*.cpp")
PROTO_SRCS := $(wildcard src/caffe/proto/*.proto)
# The generated files for protocol buffers
PROTO_GEN_HEADER := ${PROTO_SRCS:.proto=.pb.h}
PROTO_GEN_CC := ${PROTO_SRCS:.proto=.pb.cc}
@ -22,11 +22,11 @@ CU_OBJS := ${CU_SRCS:.cu=.cuo}
PROTO_OBJS := ${PROTO_GEN_CC:.cc=.o}
OBJS := $(PROTO_OBJS) $(CXX_OBJS) $(CU_OBJS)
# program and test objects
PROGRAM_OBJS := ${PROGRAM_SRCS:.cpp=.o}
EXAMPLE_OBJS := ${EXAMPLE_SRCS:.cpp=.o}
TEST_OBJS := ${TEST_SRCS:.cpp=.o}
GTEST_OBJ := ${GTEST_SRC:.cpp=.o}
# program and test bins
PROGRAM_BINS :=${PROGRAM_OBJS:.o=.bin}
EXAMPLE_BINS :=${EXAMPLE_OBJS:.o=.bin}
TEST_BINS := ${TEST_OBJS:.o=.testbin}
# define third-party library paths
@ -40,10 +40,11 @@ MKL_INCLUDE_DIR := $(MKL_DIR)/include
MKL_LIB_DIR := $(MKL_DIR)/lib $(MKL_DIR)/lib/intel64
# define inclue and libaries
INCLUDE_DIRS := . /usr/local/include $(CUDA_INCLUDE_DIR) $(MKL_INCLUDE_DIR)
LIBRARY_DIRS := . /usr/lib /usr/local/lib $(CUDA_LIB_DIR) $(MKL_LIB_DIR)
# We put src here just for gtest
INCLUDE_DIRS := ./src ./include /usr/local/include $(CUDA_INCLUDE_DIR) $(MKL_INCLUDE_DIR)
LIBRARY_DIRS := /usr/lib /usr/local/lib $(CUDA_LIB_DIR) $(MKL_LIB_DIR)
LIBRARIES := cuda cudart cublas protobuf glog mkl_rt mkl_intel_thread curand \
leveldb snappy pthread tcmalloc
leveldb snappy pthread
WARNINGS := -Wall
COMMON_FLAGS := $(foreach includedir,$(INCLUDE_DIRS),-I$(includedir))
@ -54,16 +55,16 @@ LDFLAGS += $(foreach librarydir,$(LIBRARY_DIRS),-L$(librarydir)) \
NVCC = nvcc $(NVCCFLAGS) $(CPPFLAGS) $(CUDA_ARCH)
.PHONY: all test clean distclean linecount program
.PHONY: all test clean distclean linecount examples distribute
all: $(NAME) $(STATIC_NAME) test program
all: $(NAME) $(STATIC_NAME) test examples
linecount: clean
cloc --read-lang-def=caffe.cloc caffe/
cloc --read-lang-def=caffe.cloc src/caffe/
test: $(TEST_BINS)
program: $(PROGRAM_BINS)
examples: $(EXAMPLE_BINS)
$(NAME): $(PROTO_OBJS) $(OBJS)
$(CXX) -shared $(OBJS) -o $(NAME) $(LDFLAGS) $(WARNINGS)
@ -77,22 +78,34 @@ runtest: test
$(TEST_BINS): %.testbin : %.o $(GTEST_OBJ) $(STATIC_NAME)
$(CXX) $< $(GTEST_OBJ) $(STATIC_NAME) -o $@ $(LDFLAGS) $(WARNINGS)
$(PROGRAM_BINS): %.bin : %.o $(STATIC_NAME)
$(EXAMPLE_BINS): %.bin : %.o $(STATIC_NAME)
$(CXX) $< $(STATIC_NAME) -o $@ $(LDFLAGS) $(WARNINGS)
$(OBJS): $(PROTO_GEN_CC)
$(PROGRAM_OBJS): $(PROTO_GEN_CC)
$(EXAMPLE_OBJS): $(PROTO_GEN_CC)
$(CU_OBJS): %.cuo: %.cu
$(NVCC) -c $< -o $@
$(PROTO_GEN_CC): $(PROTO_SRCS)
protoc $(PROTO_SRCS) --cpp_out=. --python_out=.
protoc --proto_path=src --cpp_out=src --python_out=src $(PROTO_SRCS)
mkdir -p include/caffe/proto
cp $(PROTO_GEN_HEADER) include/caffe/proto/
clean:
@- $(RM) $(NAME) $(STATIC_NAME) $(TEST_BINS) $(PROGRAM_BINS)
@- $(RM) $(OBJS) $(TEST_OBJS) $(PROGRAM_OBJS)
@- $(RM) $(NAME) $(STATIC_NAME) $(TEST_BINS) $(EXAMPLE_BINS)
@- $(RM) $(OBJS) $(TEST_OBJS) $(EXAMPLE_OBJS)
@- $(RM) $(PROTO_GEN_HEADER) $(PROTO_GEN_CC) $(PROTO_GEN_PY)
@- $(RM) -rf build
distclean: clean
distribute: all
mkdir build
cp -r include build/
mkdir build/bin
cp $(EXAMPLE_BINS) build/bin
mkdir build/lib
cp $(NAME) build/lib
cp $(STATIC_NAME) build/lib

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@ -12,7 +12,7 @@
#include "caffe/filler.hpp"
#include "caffe/proto/caffe.pb.h"
#include "caffe/util/io.hpp"
#include "caffe/optimization/solver.hpp"
#include "caffe/solver.hpp"
using namespace caffe;

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@ -21,7 +21,7 @@
#include "caffe/filler.hpp"
#include "caffe/proto/caffe.pb.h"
#include "caffe/util/io.hpp"
#include "caffe/optimization/solver.hpp"
#include "caffe/solver.hpp"
using namespace caffe;

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@ -13,7 +13,7 @@
#include "caffe/filler.hpp"
#include "caffe/proto/caffe.pb.h"
#include "caffe/util/io.hpp"
#include "caffe/optimization/solver.hpp"
#include "caffe/solver.hpp"
using namespace caffe;

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@ -15,7 +15,7 @@
#include "caffe/filler.hpp"
#include "caffe/proto/caffe.pb.h"
#include "caffe/util/io.hpp"
#include "caffe/optimization/solver.hpp"
#include "caffe/solver.hpp"
using namespace caffe;

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@ -8,7 +8,7 @@
#include "caffe/net.hpp"
#include "caffe/proto/caffe.pb.h"
#include "caffe/optimization/solver.hpp"
#include "caffe/solver.hpp"
#include "caffe/util/io.hpp"
#include "caffe/util/math_functions.hpp"

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@ -1,125 +0,0 @@
// Copyright 2013 Yangqing Jia
#include <cuda_runtime.h>
#include <fcntl.h>
#include <google/protobuf/text_format.h>
#include <google/protobuf/io/zero_copy_stream_impl.h>
#include <gtest/gtest.h>
#include <cstring>
#include "caffe/blob.hpp"
#include "caffe/common.hpp"
#include "caffe/net.hpp"
#include "caffe/filler.hpp"
#include "caffe/proto/caffe.pb.h"
#include "caffe/util/io.hpp"
#include "caffe/optimization/solver.hpp"
#include "caffe/test/test_caffe_main.hpp"
namespace caffe {
template <typename Dtype>
class SolverTest : public ::testing::Test {};
typedef ::testing::Types<float, double> Dtypes;
TYPED_TEST_CASE(SolverTest, Dtypes);
TYPED_TEST(SolverTest, TestSolveGPU) {
Caffe::set_mode(Caffe::GPU);
NetParameter net_param;
ReadProtoFromTextFile("data/linear_regression.prototxt",
&net_param);
// check if things are right
EXPECT_EQ(net_param.layers_size(), 3);
EXPECT_EQ(net_param.input_size(), 0);
vector<Blob<TypeParam>*> bottom_vec;
Net<TypeParam> caffe_net(net_param, bottom_vec);
EXPECT_EQ(caffe_net.layer_names().size(), 3);
EXPECT_EQ(caffe_net.blob_names().size(), 3);
// Run the network without training.
LOG(INFO) << "Performing Forward";
caffe_net.Forward(bottom_vec);
LOG(INFO) << "Performing Backward";
LOG(INFO) << "Initial loss: " << caffe_net.Backward();
SolverParameter solver_param;
solver_param.set_base_lr(0.1);
solver_param.set_display(0);
solver_param.set_max_iter(100);
solver_param.set_lr_policy("inv");
solver_param.set_gamma(1.);
solver_param.set_power(0.75);
solver_param.set_momentum(0.9);
LOG(INFO) << "Starting Optimization";
SGDSolver<TypeParam> solver(solver_param);
solver.Solve(&caffe_net);
LOG(INFO) << "Optimization Done.";
LOG(INFO) << "Weight: " << caffe_net.params()[0]->cpu_data()[0] << ", "
<< caffe_net.params()[0]->cpu_data()[1];
LOG(INFO) << "Bias: " << caffe_net.params()[1]->cpu_data()[0];
EXPECT_GE(caffe_net.params()[0]->cpu_data()[0], 0.3);
EXPECT_LE(caffe_net.params()[0]->cpu_data()[0], 0.35);
EXPECT_GE(caffe_net.params()[0]->cpu_data()[1], 0.3);
EXPECT_LE(caffe_net.params()[0]->cpu_data()[1], 0.35);
EXPECT_GE(caffe_net.params()[1]->cpu_data()[0], -0.01);
EXPECT_LE(caffe_net.params()[1]->cpu_data()[0], 0.01);
}
TYPED_TEST(SolverTest, TestSolveCPU) {
Caffe::set_mode(Caffe::CPU);
NetParameter net_param;
ReadProtoFromTextFile("data/linear_regression.prototxt",
&net_param);
// check if things are right
EXPECT_EQ(net_param.layers_size(), 3);
EXPECT_EQ(net_param.input_size(), 0);
vector<Blob<TypeParam>*> bottom_vec;
Net<TypeParam> caffe_net(net_param, bottom_vec);
EXPECT_EQ(caffe_net.layer_names().size(), 3);
EXPECT_EQ(caffe_net.blob_names().size(), 3);
// Run the network without training.
LOG(INFO) << "Performing Forward";
caffe_net.Forward(bottom_vec);
LOG(INFO) << "Performing Backward";
LOG(INFO) << "Initial loss: " << caffe_net.Backward();
SolverParameter solver_param;
solver_param.set_base_lr(0.1);
solver_param.set_display(0);
solver_param.set_max_iter(100);
solver_param.set_lr_policy("inv");
solver_param.set_gamma(1.);
solver_param.set_power(0.75);
solver_param.set_momentum(0.9);
LOG(INFO) << "Starting Optimization";
SGDSolver<TypeParam> solver(solver_param);
solver.Solve(&caffe_net);
LOG(INFO) << "Optimization Done.";
LOG(INFO) << "Weight: " << caffe_net.params()[0]->cpu_data()[0] << ", "
<< caffe_net.params()[0]->cpu_data()[1];
LOG(INFO) << "Bias: " << caffe_net.params()[1]->cpu_data()[0];
EXPECT_GE(caffe_net.params()[0]->cpu_data()[0], 0.3);
EXPECT_LE(caffe_net.params()[0]->cpu_data()[0], 0.35);
EXPECT_GE(caffe_net.params()[0]->cpu_data()[1], 0.3);
EXPECT_LE(caffe_net.params()[0]->cpu_data()[1], 0.35);
EXPECT_GE(caffe_net.params()[1]->cpu_data()[0], -0.01);
EXPECT_LE(caffe_net.params()[1]->cpu_data()[0], 0.01);
}
} // namespace caffe