Imported Upstream version 1.11.0upstream/1.11.0

1 files changed, 83 insertions, 0 deletions

diff --git a/runtime/libs/misc/src/RandomGenerator.cpp b/runtime/libs/misc/src/RandomGenerator.cpp
new file mode 100644
index 000000000..e7fbc10ca
--- /dev/null
+++ b/runtime/libs/misc/src/RandomGenerator.cpp
@@ -0,0 +1,83 @@
+/*
+ * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "misc/RandomGenerator.h"
+
+namespace nnfw
+{
+namespace misc
+{
+
+template <> uint8_t RandomGenerator::generate<uint8_t>(void)
+{
+  // The value of type_range is 255.
+  float type_range = static_cast<float>(std::numeric_limits<uint8_t>::max()) -
+                     static_cast<float>(std::numeric_limits<uint8_t>::min());
+  // Most _dist values range from -5.0 to 5.0.
+  float min_range = -5.0f;
+  float max_range = 5.0f;
+  // NOTE shifted_relative_val has Gaussian distribution that origin mean was 0 and standard
+  // deviation was 2. And then its values are distributed and shift to that mean is 127.5 and range
+  // is about [0, 255].
+  float shifted_relative_val = (_dist(_rand) - min_range) * type_range / (max_range - min_range);
+
+  // shifted_relative_val is adjusted to be mapped to end points of the range, if it is out of range
+  // values.
+  if (shifted_relative_val < 0.0f)
+  {
+    return 0;
+  }
+  else if (shifted_relative_val > type_range)
+  {
+    return 255;
+  }
+
+  // Convert shifted_relative_val from float to uint8
+  return static_cast<uint8_t>(shifted_relative_val);
+}
+
+template <> bool RandomGenerator::generate<bool>(void)
+{
+  std::uniform_int_distribution<> dist(0, 1); // [0, 1]
+  return dist(_rand);
+}
+
+template <> int32_t RandomGenerator::generate<int32_t>(void)
+{
+  // Instead of INT_MAX, 99 is chosen because int32_t input does not mean
+  // that the model can have any value in int32_t can hold.
+  // For example, one_hot operation gets indices as int32_t tensor.
+  // However, we usually expect it would hold a value in [0..depth).
+  // In our given model, depth was 10137.
+  const int int32_random_max = 99;
+  std::uniform_int_distribution<> dist(0, int32_random_max);
+  return dist(_rand);
+}
+
+template <> int64_t RandomGenerator::generate<int64_t>(void)
+{
+  // Instead of INT_MAX, 99 is chosen because int64_t input does not mean
+  // that the model can have any value in int64_t can hold.
+  // For example, one_hot operation gets indices as int64_t tensor.
+  // However, we usually expect it would hold a value in [0..depth).
+  // In our given model, depth was 10137.
+  const int64_t int64_random_max = 99;
+  std::uniform_int_distribution<> dist(0, int64_random_max);
+  return dist(_rand);
+}
+
+} // namespace misc
+} // namespace nnfw