2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
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
8 * http://www.apache.org/licenses/LICENSE-2.0
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.
17 #include "kernels/LeakyRelu.h"
19 #include "kernels/Utils.h"
21 #include <tensorflow/lite/kernels/internal/reference/reference_ops.h>
22 #include <tensorflow/lite/kernels/internal/optimized/optimized_ops.h>
26 namespace luci_interpreter
32 LeakyRelu::LeakyRelu(const Tensor *input, Tensor *output, const LeakyReluParams ¶ms)
33 : KernelWithParams<LeakyReluParams>({input}, {output}, params)
37 void LeakyRelu::configure()
39 assert(input()->element_type() == output()->element_type());
40 if (input()->element_type() == DataType::U8)
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);
49 output()->resize(input()->shape());
52 void LeakyRelu::execute() const
54 switch (input()->element_type())
56 case DataType::FLOAT32:
63 throw std::runtime_error("Unsupported type.");
67 void LeakyRelu::evalFloat() const
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()));
76 void LeakyRelu::evalQuantized() const
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();
83 op_params.output_multiplier = _output_multiplier;
84 op_params.output_shift = _output_shift;
86 tflite::reference_ops::QuantizeLeakyRelu(
87 op_params, _q_alpha, getTensorShape(input()), getTensorData<uint8_t>(input()),
88 getTensorShape(output()), getTensorData<uint8_t>(output()));
91 } // namespace kernels
92 } // namespace luci_interpreter