1 /*
2 * Copyright (c) 2019-2021 Arm Limited.
3 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24 #include "arm_compute/runtime/NEON/functions/NEPReluLayer.h"
25
26 #include "arm_compute/core/ITensor.h"
27 #include "src/cpu/operators/CpuPRelu.h"
28
29 namespace arm_compute
30 {
31 using OperatorType = cpu::CpuPRelu;
32
33 struct NEPReluLayer::Impl
34 {
35 const ITensor *src_0{ nullptr };
36 const ITensor *src_1{ nullptr };
37 ITensor *dst{ nullptr };
38 std::unique_ptr<OperatorType> op{ nullptr };
39 };
40
NEPReluLayer()41 NEPReluLayer::NEPReluLayer()
42 : _impl(std::make_unique<Impl>())
43 {
44 }
45 NEPReluLayer::NEPReluLayer(NEPReluLayer &&) = default;
46 NEPReluLayer &NEPReluLayer::operator=(NEPReluLayer &&) = default;
47 NEPReluLayer::~NEPReluLayer() = default;
48
configure(const ITensor * input,const ITensor * alpha,ITensor * output)49 void NEPReluLayer::configure(const ITensor *input, const ITensor *alpha, ITensor *output)
50 {
51 _impl->src_0 = input;
52 _impl->src_1 = alpha;
53 _impl->dst = output;
54 _impl->op = std::make_unique<OperatorType>();
55 _impl->op->configure(input->info(), alpha->info(), output->info());
56 }
57
run()58 void NEPReluLayer::run()
59 {
60 ITensorPack pack;
61 pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
62 pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
63 pack.add_tensor(TensorType::ACL_DST, _impl->dst);
64 _impl->op->run(pack);
65 }
66
validate(const ITensorInfo * input,const ITensorInfo * alpha,const ITensorInfo * output)67 Status NEPReluLayer::validate(const ITensorInfo *input, const ITensorInfo *alpha, const ITensorInfo *output)
68 {
69 return OperatorType::validate(input, alpha, output);
70 }
71 } // namespace arm_compute
72