1 /*
2 * Copyright (c) 2019-2020 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/core/NEON/kernels/NEElementwiseOperationKernel.h"
28 #include "support/MemorySupport.h"
29
30 namespace arm_compute
31 {
32 namespace experimental
33 {
configure(const ITensorInfo * input,const ITensorInfo * alpha,ITensorInfo * output)34 void NEPRelu::configure(const ITensorInfo *input, const ITensorInfo *alpha, ITensorInfo *output)
35 {
36 auto k = arm_compute::support::cpp14::make_unique<NEArithmeticOperationKernel>();
37 k->configure(ArithmeticOperation::PRELU, input, alpha, output);
38 _kernel = std::move(k);
39 }
40
validate(const ITensorInfo * input,const ITensorInfo * alpha,const ITensorInfo * output)41 Status NEPRelu::validate(const ITensorInfo *input, const ITensorInfo *alpha, const ITensorInfo *output)
42 {
43 return NEArithmeticOperationKernel::validate(ArithmeticOperation::PRELU, input, alpha, output);
44 }
45 } // nsamespace experimental
46
47 struct NEPReluLayer::Impl
48 {
49 const ITensor *src_0{ nullptr };
50 const ITensor *src_1{ nullptr };
51 ITensor *dst{ nullptr };
52 std::unique_ptr<experimental::NEPRelu> op{ nullptr };
53 };
54
NEPReluLayer()55 NEPReluLayer::NEPReluLayer()
56 : _impl(support::cpp14::make_unique<Impl>())
57 {
58 }
59 NEPReluLayer::NEPReluLayer(NEPReluLayer &&) = default;
60 NEPReluLayer &NEPReluLayer::operator=(NEPReluLayer &&) = default;
61 NEPReluLayer::~NEPReluLayer() = default;
62
configure(const ITensor * input,const ITensor * alpha,ITensor * output)63 void NEPReluLayer::configure(const ITensor *input, const ITensor *alpha, ITensor *output)
64 {
65 _impl->src_0 = input;
66 _impl->src_1 = alpha;
67 _impl->dst = output;
68 _impl->op = arm_compute::support::cpp14::make_unique<experimental::NEPRelu>();
69 _impl->op->configure(input->info(), alpha->info(), output->info());
70 }
71
run()72 void NEPReluLayer::run()
73 {
74 ITensorPack pack;
75 pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
76 pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
77 pack.add_tensor(TensorType::ACL_DST, _impl->dst);
78 _impl->op->run(pack);
79 }
80
validate(const ITensorInfo * input,const ITensorInfo * alpha,const ITensorInfo * output)81 Status NEPReluLayer::validate(const ITensorInfo *input, const ITensorInfo *alpha, const ITensorInfo *output)
82 {
83 return experimental::NEPRelu::validate(input, alpha, output);
84 }
85 } // namespace arm_compute
86