compiler/luci-interpreter/src/kernels/LeakyRelu.cpp

   1 /*
   2  * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
   3  *
   4  * Licensed under the Apache License, Version 2.0 (the "License");
   5  * you may not use this file except in compliance with the License.
   6  * You may obtain a copy of the License at
   7  *
   8  *    http://www.apache.org/licenses/LICENSE-2.0
   9  *
  10  * Unless required by applicable law or agreed to in writing, software
  11  * distributed under the License is distributed on an "AS IS" BASIS,
  12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13  * See the License for the specific language governing permissions and
  14  * limitations under the License.
  15  */
  16
  17 #include "kernels/LeakyRelu.h"
  18
  19 #include "kernels/Utils.h"
  20
  21 #include <tensorflow/lite/kernels/internal/reference/reference_ops.h>
  22 #include <tensorflow/lite/kernels/internal/optimized/optimized_ops.h>
  23
  24 #include <stdexcept>
  25
  26 namespace luci_interpreter
  27 {
  28
  29 namespace kernels
  30 {
  31
  32 LeakyRelu::LeakyRelu(const Tensor *input, Tensor *output, const LeakyReluParams &params)
  33     : KernelWithParams<LeakyReluParams>({input}, {output}, params)
  34 {
  35 }
  36
  37 void LeakyRelu::configure()
  38 {
  39   assert(input()->element_type() == output()->element_type());
  40   if (input()->element_type() == DataType::U8)
  41   {
  42     _q_alpha = static_cast<uint8_t>(std::max<float>(
  43         std::numeric_limits<uint8_t>::min(),
  44         std::min<float>(std::numeric_limits<uint8_t>::max(),
  45                         std::round(input()->zero_point() + (params().alpha / input()->scale())))));
  46     double real_multiplier = input()->scale() * input()->scale() / output()->scale();
  47     quantizeMultiplierSmallerThanOneExp(real_multiplier, &_output_multiplier, &_output_shift);
  48   }
  49   output()->resize(input()->shape());
  50 }
  51
  52 void LeakyRelu::execute() const
  53 {
  54   switch (input()->element_type())
  55   {
  56     case DataType::FLOAT32:
  57       evalFloat();
  58       break;
  59     case DataType::U8:
  60       evalQuantized();
  61       break;
  62     default:
  63       throw std::runtime_error("Unsupported type.");
  64   }
  65 }
  66
  67 void LeakyRelu::evalFloat() const
  68 {
  69   tflite::LeakyReluParams op_params{};
  70   op_params.alpha = params().alpha;
  71   tflite::optimized_ops::LeakyRelu(op_params, getTensorShape(input()),
  72                                    getTensorData<float>(input()), getTensorShape(output()),
  73                                    getTensorData<float>(output()));
  74 }
  75
  76 void LeakyRelu::evalQuantized() const
  77 {
  78   tflite::LeakyReluParams op_params{};
  79   op_params.input_offset = input()->zero_point();
  80   op_params.alpha_offset = input()->zero_point();
  81   op_params.output_offset = output()->zero_point();
  82
  83   op_params.output_multiplier = _output_multiplier;
  84   op_params.output_shift = _output_shift;
  85
  86   tflite::reference_ops::QuantizeLeakyRelu(
  87       op_params, _q_alpha, getTensorShape(input()), getTensorData<uint8_t>(input()),
  88       getTensorShape(output()), getTensorData<uint8_t>(output()));
  89 }
  90
  91 } // namespace kernels
  92 } // namespace luci_interpreter