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1 /*
2  * Copyright (c) 2017-2020 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/NEActivationLayer.h"
25 
26 #include "arm_compute/core/Error.h"
27 #include "arm_compute/core/experimental/Types.h"
28 #include "arm_compute/runtime/IRuntimeContext.h"
29 #include "arm_compute/runtime/Tensor.h"
30 #include "src/core/NEON/kernels/NEActivationLayerKernel.h"
31 #include "support/MemorySupport.h"
32 
33 namespace arm_compute
34 {
35 namespace experimental
36 {
37 NEActivationLayer::~NEActivationLayer() = default;
38 
configure(const ITensorInfo * input,ITensorInfo * output,const ActivationLayerInfo & activation_info)39 void NEActivationLayer::configure(const ITensorInfo *input, ITensorInfo *output, const ActivationLayerInfo &activation_info)
40 {
41     auto k = arm_compute::support::cpp14::make_unique<NEActivationLayerKernel>();
42     k->configure(input, output, activation_info);
43     _kernel = std::move(k);
44 }
45 
validate(const ITensorInfo * input,const ITensorInfo * output,const ActivationLayerInfo & activation_info)46 Status NEActivationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &activation_info)
47 {
48     return NEActivationLayerKernel::validate(input, output, activation_info);
49 }
50 } // namespace experimental
51 
52 struct NEActivationLayer::Impl
53 {
54     const ITensor                                   *src{ nullptr };
55     ITensor                                         *dst{ nullptr };
56     IRuntimeContext                                 *ctx{ nullptr };
57     std::unique_ptr<experimental::NEActivationLayer> op{ nullptr };
58 };
59 
NEActivationLayer(IRuntimeContext * ctx)60 NEActivationLayer::NEActivationLayer(IRuntimeContext *ctx)
61     : _impl(support::cpp14::make_unique<Impl>())
62 {
63     _impl->ctx = ctx;
64 }
65 
66 NEActivationLayer::NEActivationLayer(NEActivationLayer &&) = default;
67 
68 NEActivationLayer &NEActivationLayer::operator=(NEActivationLayer &&) = default;
69 
70 NEActivationLayer::~NEActivationLayer() = default;
71 
configure(ITensor * input,ITensor * output,ActivationLayerInfo activation_info)72 void NEActivationLayer::configure(ITensor *input, ITensor *output, ActivationLayerInfo activation_info)
73 {
74     ARM_COMPUTE_ERROR_ON_NULLPTR(input);
75 
76     _impl->src = input;
77     _impl->dst = output == nullptr ? input : output;
78 
79     _impl->op = arm_compute::support::cpp14::make_unique<experimental::NEActivationLayer>();
80     _impl->op->configure(_impl->src->info(), _impl->dst->info(), activation_info);
81 }
82 
validate(const ITensorInfo * input,const ITensorInfo * output,const ActivationLayerInfo & act_info)83 Status NEActivationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info)
84 {
85     return experimental::NEActivationLayer::validate(input, output, act_info);
86 }
87 
run()88 void NEActivationLayer::run()
89 {
90     ITensorPack pack;
91     pack.add_tensor(TensorType::ACL_SRC, _impl->src);
92     pack.add_tensor(TensorType::ACL_DST, _impl->dst);
93     _impl->op->run(pack);
94 }
95 } // namespace arm_compute
96