fix platform dependent thing

src/gbm/gbtree-inl.hpp

@@ -372,7 +372,7 @@ class GBTree : public IGradBooster {
       #pragma omp parallel for schedule(static)
       for (bst_omp_uint i = 0; i < nsize; ++i) {
         const int tid = omp_get_thread_num();
-        int64_t ridx = static_cast<int64_t>(batch.base_rowid + i);
+        size_t ridx = static_cast<size_t>(batch.base_rowid + i);
         tree::RegTree::FVec &feats = thread_temp[tid];
         feats.Fill(batch[i]);
         for (unsigned j = 0; j < ntree_limit; ++j) {

src/learner/learner-inl.hpp

@@ -166,12 +166,12 @@ class BoostLearner : public rabit::Serializable {
     {
       // backward compatibility code for compatible with old model type
       // for new model, Read(&name_obj_) is suffice      
-      size_t len;
+      uint64_t len;
       utils::Check(fi.Read(&len, sizeof(len)) != 0, "BoostLearner: wrong model format");
       if (len >= std::numeric_limits<unsigned>::max()) {
         int gap;
         utils::Check(fi.Read(&gap, sizeof(gap)) != 0, "BoostLearner: wrong model format");
-        len = len >> 32UL;
+        len = len >> static_cast<uint64_t>(32UL);
       }
       if (len != 0) {
         name_obj_.resize(len);

src/utils/omp.h

@@ -15,6 +15,7 @@
 inline int omp_get_thread_num() { return 0; }
 inline int omp_get_num_threads() { return 1; }
 inline void omp_set_num_threads(int nthread) {}
+inline int omp_get_num_procs() { return 1; }
 #endif
 
 // loop variable used in openmp

src/utils/utils.h

@@ -42,10 +42,10 @@ extern "C" {
 
 #ifdef _MSC_VER
 typedef unsigned char uint8_t;
-typedef unsigned short int uint16_t;
-typedef unsigned int uint32_t;
-typedef unsigned long uint64_t;
-typedef long int64_t;
+typedef unsigned __int16 uint16_t;
+typedef unsigned __int32 uint32_t;
+typedef unsigned __int64 uint64_t;
+typedef __int64 int64_t;
 #else
 #include <inttypes.h>
 #endif