ONE - On-device Neural Engine
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LeakyRelu.cpp
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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 "Builders.h"
18#include "kernels/Utils.h"
19#include "SISOKernel.h"
20
21#include "PALReluCommon.h"
22
23namespace luci_interpreter
24{
25
26void configure_kernel_CircleLeakyRelu(const circle::Operator *cur_op,
27 BaseRuntimeGraph *runtime_graph)
28{
29 kernels::SISOKernel kernel(cur_op, runtime_graph);
30
31 LUCI_INTERPRETER_CHECK(Tensor::element_type(kernel.input()) ==
32 Tensor::element_type(kernel.output()));
33 LUCI_INTERPRETER_CHECK(Tensor::num_dims(kernel.input()) == Tensor::num_dims(kernel.output()));
34 LUCI_INTERPRETER_CHECK(Tensor::num_elements(kernel.input()) ==
35 Tensor::num_elements(kernel.output()));
36}
37
38void execute_kernel_CircleLeakyRelu(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
39{
40 kernels::SISOKernel kernel(cur_op, runtime_graph);
41
42 const auto *input_data = runtime_graph->getDataByTensor(kernel.input());
43 assert(input_data);
44
45 auto *output_data = runtime_graph->getDataByTensor(kernel.output());
46
47 bool is_inplace = runtime_graph->is_inplace_op(cur_op);
48
49 const auto options = cur_op->builtin_options_as_LeakyReluOptions();
50
51 switch (Tensor::element_type(kernel.input()))
52 {
53#ifndef DIS_FLOAT
54 case DataType::FLOAT32:
55 {
56 const float *input_data_float = kernels::getTensorData<float>(input_data);
57 float *output_data_float = kernels::getTensorData<float>(output_data);
58 if (is_inplace)
59 {
60 output_data_float = const_cast<float *>(input_data_float);
61 }
62
63 assert(output_data_float);
64 const int flat_size =
65 kernels::getTensorRuntimeShape(kernel.input(), runtime_graph).flatSize();
66
67 luci_interpreter_pal::ReLUCommon(flat_size, input_data_float, output_data_float,
68 options->alpha(), false);
69 break;
70 }
71#endif // DIS_FLOAT
72 default:
73 assert(false && "Unsupported type");
74 }
75
76 if (is_inplace)
77 runtime_graph->makeInplaceOperation(kernel.input(), kernel.output());
78}
79} // namespace luci_interpreter
void makeInplaceOperation(const circle::Tensor *src_tensor, const circle::Tensor *dst_tensor)
bool is_inplace_op(const circle::Operator *op)
uint8_t * getDataByTensor(const circle::Tensor *raw_tensor)
const circle::Tensor * output() const
Definition SISOKernel.h:47
const circle::Tensor * input() const
Definition SISOKernel.h:46
#define LUCI_INTERPRETER_CHECK(cond)
Definition Utils.h:36
luci_interpreter::RuntimeShape getTensorRuntimeShape(const circle::Tensor *circle_tensor, BaseRuntimeGraph *runtime_graph)
Definition Utils.cpp:29
void ReLUCommon(const int flat_size, const float *input_data, float *output_data, const float alpha, const bool is_relu_6)
void execute_kernel_CircleLeakyRelu(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
Definition LeakyRelu.cpp:38
void configure_kernel_CircleLeakyRelu(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
Definition LeakyRelu.cpp:26