Imported Upstream version 1.21.0

[platform/core/ml/nnfw.git] / compiler / souschef / src / Gaussian.cpp

diff --git a/compiler/souschef/src/Gaussian.cpp b/compiler/souschef/src/Gaussian.cpp
index 32cbcff..53a62ca 100644 (file)
--- a/compiler/souschef/src/Gaussian.cpp
+++ b/compiler/souschef/src/Gaussian.cpp
@@ -23,6 +23,8 @@
 #include <cassert>
 #include <stdexcept>
 
+#include <fp16.h>
+
 namespace souschef
 {
 
@@ -36,7 +38,7 @@ static std::vector<uint8_t> generate_gaussian(int32_t count, float mean, float s
   std::vector<uint8_t> res;
 
   constexpr float max_cap = std::numeric_limits<T>::max();
-  constexpr float min_cap = std::numeric_limits<T>::min();
+  constexpr float min_cap = std::numeric_limits<T>::lowest();
   for (uint32_t n = 0; n < count; ++n)
   {
     float raw_value = dist(rand);
@@ -69,6 +71,34 @@ std::vector<uint8_t> GaussianFloat32DataChef::generate(int32_t count) const
   return generate_gaussian<float>(count, _mean, _stddev);
 }
 
+std::vector<uint8_t> GaussianFloat16DataChef::generate(int32_t count) const
+{
+  auto time_stamp = std::chrono::system_clock::now().time_since_epoch().count();
+  auto seed = static_cast<std::minstd_rand::result_type>(time_stamp);
+
+  std::minstd_rand rand{static_cast<std::minstd_rand::result_type>(seed)};
+  std::normal_distribution<float> dist{_mean, _stddev};
+
+  std::vector<uint8_t> res;
+
+  constexpr float max_cap = 1e9;
+  constexpr float min_cap = -1e9;
+  for (uint32_t n = 0; n < count; ++n)
+  {
+    float raw_value = dist(rand);
+    const float capped_value = std::max(min_cap, std::min(max_cap, raw_value));
+    const uint16_t value = fp16_ieee_from_fp32_value(capped_value);
+    auto const arr = reinterpret_cast<const uint8_t *>(&value);
+
+    for (uint32_t b = 0; b < sizeof(uint16_t); ++b)
+    {
+      res.emplace_back(arr[b]);
+    }
+  }
+
+  return res;
+}
+
 std::vector<uint8_t> GaussianInt32DataChef::generate(int32_t count) const
 {
   return generate_gaussian<int32_t>(count, _mean, _stddev);
@@ -136,4 +166,17 @@ std::unique_ptr<DataChef> GaussianUint8DataChefFactory::create(const Arguments &
   return std::unique_ptr<DataChef>{new GaussianUint8DataChef{mean, stddev}};
 }
 
+std::unique_ptr<DataChef> GaussianFloat16DataChefFactory::create(const Arguments &args) const
+{
+  if (args.count() != 2)
+  {
+    throw std::runtime_error{"invalid argument count: two arguments (mean/stddev) are expected"};
+  }
+
+  auto const mean = to_number<float>(args.value(0));
+  auto const stddev = to_number<float>(args.value(1));
+
+  return std::unique_ptr<DataChef>{new GaussianFloat16DataChef{mean, stddev}};
+}
+
 } // namespace souschef