From: Kai Li <kaili_kloud@163.com>
Date: Tue, 25 Feb 2014 10:23:04 +0000 (+0800)
Subject: Add __builtin_popcount* based fast Hamming distance math function
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=4de8280c1e97bef319b4b65e708137a5d54fdb88;p=platform%2Fupstream%2Fcaffe.git

Add __builtin_popcount* based fast Hamming distance math function
---

diff --git a/include/caffe/util/math_functions.hpp b/include/caffe/util/math_functions.hpp
index e9e2db8..26abb2d 100644
--- a/include/caffe/util/math_functions.hpp
+++ b/include/caffe/util/math_functions.hpp
@@ -1,4 +1,5 @@
 // Copyright 2013 Yangqing Jia
+// Copyright 2014 kloudkl@github
 
 #ifndef CAFFE_UTIL_MATH_FUNCTIONS_H_
 #define CAFFE_UTIL_MATH_FUNCTIONS_H_
@@ -100,6 +101,9 @@ Dtype caffe_cpu_dot(const int n, const Dtype* x, const Dtype* y);
 template <typename Dtype>
 void caffe_gpu_dot(const int n, const Dtype* x, const Dtype* y, Dtype* out);
 
+template <typename Dtype>
+int caffe_hamming_distance(const int n, const Dtype* x, const Dtype* y);
+
 }  // namespace caffe
 
 
diff --git a/src/caffe/test/test_math_functions.cpp b/src/caffe/test/test_math_functions.cpp
new file mode 100644
index 0000000..0e313ee
--- /dev/null
+++ b/src/caffe/test/test_math_functions.cpp
@@ -0,0 +1,77 @@
+// Copyright 2014 kloudkl@github
+
+#include <stdint.h> // for uint32_t & uint64_t
+
+#include "gtest/gtest.h"
+#include "caffe/blob.hpp"
+#include "caffe/common.hpp"
+#include "caffe/filler.hpp"
+#include "caffe/util/math_functions.hpp"
+
+#include "caffe/test/test_caffe_main.hpp"
+
+namespace caffe {
+
+template<typename Dtype>
+class MathFunctionsTest : public ::testing::Test {
+ protected:
+  MathFunctionsTest()
+      : blob_bottom_(new Blob<Dtype>()),
+        blob_top_(new Blob<Dtype>()) {
+  }
+
+  virtual void SetUp() {
+    Caffe::set_random_seed(1701);
+    this->blob_bottom_->Reshape(100, 70, 50, 30);
+    this->blob_top_->Reshape(100, 70, 50, 30);
+    // fill the values
+    FillerParameter filler_param;
+    GaussianFiller<Dtype> filler(filler_param);
+    filler.Fill(this->blob_bottom_);
+    filler.Fill(this->blob_top_);
+  }
+
+  virtual ~MathFunctionsTest() {
+    delete blob_bottom_;
+    delete blob_top_;
+  }
+  // http://en.wikipedia.org/wiki/Hamming_distance
+  int ReferenceHammingDistance(const int n, const Dtype* x, const Dtype* y);
+
+  Blob<Dtype>* const blob_bottom_;
+  Blob<Dtype>* const blob_top_;
+};
+
+#define REF_HAMMING_DIST(float_type, int_type) \
+template<> \
+int MathFunctionsTest<float_type>::ReferenceHammingDistance(const int n, \
+                                                       const float_type* x, \
+                                                       const float_type* y) { \
+  int dist = 0; \
+  int_type val; \
+  for (int i = 0; i < n; ++i) { \
+    val = static_cast<int_type>(x[i]) ^ static_cast<int_type>(y[i]); \
+    /* Count the number of set bits */ \
+    while (val) { \
+      ++dist; \
+      val &= val - 1; \
+    } \
+  } \
+  return dist; \
+}
+
+REF_HAMMING_DIST(float, uint32_t);
+REF_HAMMING_DIST(double, uint64_t);
+
+typedef ::testing::Types<float, double> Dtypes;
+TYPED_TEST_CASE(MathFunctionsTest, Dtypes);
+
+TYPED_TEST(MathFunctionsTest, TestHammingDistance){
+  int n = this->blob_bottom_->count();
+  const TypeParam* x = this->blob_bottom_->cpu_data();
+  const TypeParam* y = this->blob_top_->cpu_data();
+  CHECK_EQ(this->ReferenceHammingDistance(n, x, y),
+           caffe_hamming_distance<TypeParam>(n, x, y));
+}
+
+}
diff --git a/src/caffe/util/math_functions.cpp b/src/caffe/util/math_functions.cpp
index 60656b8..790f00e 100644
--- a/src/caffe/util/math_functions.cpp
+++ b/src/caffe/util/math_functions.cpp
@@ -1,4 +1,5 @@
 // Copyright 2013 Yangqing Jia
+// Copyright 2014 kloudkl@github
 
 #include <mkl.h>
 #include <cublas_v2.h>
@@ -293,4 +294,26 @@ void caffe_gpu_dot<double>(const int n, const double* x, const double* y,
   CUBLAS_CHECK(cublasDdot(Caffe::cublas_handle(), n, x, 1, y, 1, out));
 }
 
+template <>
+int caffe_hamming_distance<float>(const int n, const float* x,
+                                  const float* y) {
+  int dist = 0;
+  for (int i = 0; i < n; ++i) {
+    dist += __builtin_popcount(static_cast<uint32_t>(x[i]) ^
+                               static_cast<uint32_t>(y[i]));
+  }
+  return dist;
+}
+
+template <>
+int caffe_hamming_distance<double>(const int n, const double* x,
+                                   const double* y) {
+  int dist = 0;
+  for (int i = 0; i < n; ++i) {
+    dist += __builtin_popcountl(static_cast<uint64_t>(x[i]) ^
+                                static_cast<uint64_t>(y[i]));
+  }
+  return dist;
+}
+
 }  // namespace caffe