Gflags dependency & misc

.travis.yml

@@ -19,6 +19,7 @@ before_install:
 install:
   - wget https://google-glog.googlecode.com/files/glog-0.3.3.tar.gz -O /tmp/glog-0.3.3.tar.gz && tar -C /tmp -xzvf /tmp/glog-0.3.3.tar.gz && rm /tmp/glog-0.3.3.tar.gz
   - cd /tmp/glog-0.3.3 && ./configure && make && sudo make install && cd -
+  - wget https://github.com/schuhschuh/gflags/archive/master.zip -O /tmp/gflags-master.zip && pushd /tmp/ && unzip gflags-master.zip && cd gflags-master && mkdir build && cd build && export CXXFLAGS="-fPIC" && cmake .. && make VERBOSE=1 && sudo make install && popd
   - curl http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1204/x86_64/cuda-repo-ubuntu1204_6.0-37_amd64.deb -o /tmp/cuda_install.deb && sudo dpkg -i /tmp/cuda_install.deb && rm /tmp/cuda_install.deb
   - sudo apt-get -y update && sudo apt-get -y install cuda
   - curl https://gitorious.org/mdb/mdb/archive/7f038d0f15bec57b4c07aa3f31cd5564c88a1897.tar.gz -o /tmp/mdb.tar.gz && tar -C /tmp -xzvf /tmp/mdb.tar.gz && rm /tmp/mdb.tar.gz

Makefile

@@ -155,8 +155,8 @@ ifneq ($(CPU_ONLY), 1)
 	LIBRARY_DIRS += $(CUDA_LIB_DIR)
 	LIBRARIES := cudart cublas curand
 endif
-LIBRARIES += pthread \
-	glog protobuf leveldb snappy \
+LIBRARIES += \
+	glog gflags pthread protobuf leveldb snappy \
 	lmdb \
 	boost_system \
 	hdf5_hl hdf5 \

docs/installation.md

@@ -71,12 +71,22 @@ And on **CentOS or RHEL**, you can install via yum using:
 
     sudo yum install protobuf-devel leveldb-devel snappy-devel opencv-devel boost-devel hdf5-devel
 
-The only exception being the google logging library, which does not exist in the Ubuntu 12.04 or CentOS/RHEL repositories. To install it, do:
+The only exceptions being the google flags library and the google logging library, which does not exist in the Ubuntu 12.04 or CentOS/RHEL repositories. To install them, do:
 
+    # glog
     wget https://google-glog.googlecode.com/files/glog-0.3.3.tar.gz
     tar zxvf glog-0.3.3.tar.gz
     ./configure
     make && make install
+    # gflags
+    wget https://github.com/schuhschuh/gflags/archive/master.zip
+    unzip master.zip
+    cd gflags-master
+    mkdir build && cd build
+    cmake ..
+    make && make install
+
+Note that glog does not compile with the most recent gflags version (2.1), so before that is solved you will need to build with gflags first. Also note that if you have newer versions of Ubuntu, like 13.04 or 14.04, gflags may be available under apt-get.
 
 #### OS X
 

include/caffe/common.hpp

@@ -80,6 +80,10 @@ using std::set;
 using std::string;
 using std::vector;
 
+// A global initialization function that you should call in your main function.
+// Currently it initializes google flags and google logging.
+void GlobalInit(int* pargc, char*** pargv);
+
 // A singleton class to hold common caffe stuff, such as the handler that
 // caffe is going to use for cublas, curand, etc.
 class Caffe {

src/caffe/common.cpp

@@ -1,11 +1,14 @@
 // Copyright 2014 BVLC and contributors.
 
+#include <gflags/gflags.h>
+#include <glog/logging.h>
 #include <cstdio>
 #include <ctime>
 
 #include "caffe/common.hpp"
 #include "caffe/util/rng.hpp"
 
+
 namespace caffe {
 
 shared_ptr<Caffe> Caffe::singleton_;
@@ -19,6 +22,14 @@ int64_t cluster_seedgen(void) {
   return seed;
 }
 
+
+void GlobalInit(int* pargc, char*** pargv) {
+  // Google flags.
+  ::gflags::ParseCommandLineFlags(pargc, pargv, true);
+  // Google logging.
+  ::google::InitGoogleLogging(*(pargv)[0]);
+}
+
 #ifdef CPU_ONLY  // CPU-only Caffe.
 
 Caffe::Caffe()
@@ -138,28 +149,30 @@ void Caffe::DeviceQuery() {
     return;
   }
   CUDA_CHECK(cudaGetDeviceProperties(&prop, device));
-  printf("Device id:                     %d\n", device);
-  printf("Major revision number:         %d\n", prop.major);
-  printf("Minor revision number:         %d\n", prop.minor);
-  printf("Name:                          %s\n", prop.name);
-  printf("Total global memory:           %lu\n", prop.totalGlobalMem);
-  printf("Total shared memory per block: %lu\n", prop.sharedMemPerBlock);
-  printf("Total registers per block:     %d\n", prop.regsPerBlock);
-  printf("Warp size:                     %d\n", prop.warpSize);
-  printf("Maximum memory pitch:          %lu\n", prop.memPitch);
-  printf("Maximum threads per block:     %d\n", prop.maxThreadsPerBlock);
-  printf("Maximum dimension of block:    %d, %d, %d\n",
-      prop.maxThreadsDim[0], prop.maxThreadsDim[1], prop.maxThreadsDim[2]);
-  printf("Maximum dimension of grid:     %d, %d, %d\n",
-      prop.maxGridSize[0], prop.maxGridSize[1], prop.maxGridSize[2]);
-  printf("Clock rate:                    %d\n", prop.clockRate);
-  printf("Total constant memory:         %lu\n", prop.totalConstMem);
-  printf("Texture alignment:             %lu\n", prop.textureAlignment);
-  printf("Concurrent copy and execution: %s\n",
-      (prop.deviceOverlap ? "Yes" : "No"));
-  printf("Number of multiprocessors:     %d\n", prop.multiProcessorCount);
-  printf("Kernel execution timeout:      %s\n",
-      (prop.kernelExecTimeoutEnabled ? "Yes" : "No"));
+  LOG(INFO) << "Device id:                     " << device;
+  LOG(INFO) << "Major revision number:         " << prop.major;
+  LOG(INFO) << "Minor revision number:         " << prop.minor;
+  LOG(INFO) << "Name:                          " << prop.name;
+  LOG(INFO) << "Total global memory:           " << prop.totalGlobalMem;
+  LOG(INFO) << "Total shared memory per block: " << prop.sharedMemPerBlock;
+  LOG(INFO) << "Total registers per block:     " << prop.regsPerBlock;
+  LOG(INFO) << "Warp size:                     " << prop.warpSize;
+  LOG(INFO) << "Maximum memory pitch:          " << prop.memPitch;
+  LOG(INFO) << "Maximum threads per block:     " << prop.maxThreadsPerBlock;
+  LOG(INFO) << "Maximum dimension of block:    "
+      << prop.maxThreadsDim[0] << ", " << prop.maxThreadsDim[1] << ", "
+      << prop.maxThreadsDim[2];
+  LOG(INFO) << "Maximum dimension of grid:     "
+      << prop.maxGridSize[0] << ", " << prop.maxGridSize[1] << ", "
+      << prop.maxGridSize[2];
+  LOG(INFO) << "Clock rate:                    " << prop.clockRate;
+  LOG(INFO) << "Total constant memory:         " << prop.totalConstMem;
+  LOG(INFO) << "Texture alignment:             " << prop.textureAlignment;
+  LOG(INFO) << "Concurrent copy and execution: "
+      << (prop.deviceOverlap ? "Yes" : "No");
+  LOG(INFO) << "Number of multiprocessors:     " << prop.multiProcessorCount;
+  LOG(INFO) << "Kernel execution timeout:      "
+      << (prop.kernelExecTimeoutEnabled ? "Yes" : "No");
   return;
 }