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
25 #include "arm_compute/runtime/NEON/functions/NENormalizationLayer.h"
26
27 #include "arm_compute/core/Error.h"
28 #include "arm_compute/core/TensorInfo.h"
29 #include "arm_compute/core/Types.h"
30 #include "arm_compute/core/Validate.h"
31 #include "arm_compute/runtime/NEON/NEScheduler.h"
32 #include "src/core/NEON/kernels/NENormalizationLayerKernel.h"
33 #include "support/MemorySupport.h"
34
35 namespace arm_compute
36 {
37 NENormalizationLayer::~NENormalizationLayer() = default;
38
NENormalizationLayer(std::shared_ptr<IMemoryManager> memory_manager)39 NENormalizationLayer::NENormalizationLayer(std::shared_ptr<IMemoryManager> memory_manager)
40 : _memory_group(std::move(memory_manager)), _norm_kernel(), _multiply_f(), _input_squared()
41 {
42 }
43
configure(const ITensor * input,ITensor * output,const NormalizationLayerInfo & norm_info)44 void NENormalizationLayer::configure(const ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info)
45 {
46 ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
47
48 TensorInfo tensor_info(input->info()->tensor_shape(), 1, input->info()->data_type());
49 _input_squared.allocator()->init(tensor_info);
50
51 // Manage intermediate buffers
52 _memory_group.manage(&_input_squared);
53
54 // Configure kernels
55 _norm_kernel = arm_compute::support::cpp14::make_unique<NENormalizationLayerKernel>();
56 _norm_kernel->configure(input, &_input_squared, output, norm_info);
57 _multiply_f.configure(input, input, &_input_squared, 1.0f, ConvertPolicy::SATURATE, RoundingPolicy::TO_ZERO);
58
59 // Allocate the tensor once the configure methods have been called
60 _input_squared.allocator()->allocate();
61 }
62
validate(const ITensorInfo * input,const ITensorInfo * output,const NormalizationLayerInfo & norm_info)63 Status NENormalizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const NormalizationLayerInfo &norm_info)
64 {
65 // Perform validation step
66 ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
67
68 ARM_COMPUTE_RETURN_ON_ERROR(NENormalizationLayerKernel::validate(input, input, output, norm_info));
69 ARM_COMPUTE_RETURN_ON_ERROR(NEPixelWiseMultiplication::validate(input, input, output, 1.0f, ConvertPolicy::SATURATE, RoundingPolicy::TO_ZERO));
70
71 return Status{};
72 }
73
run()74 void NENormalizationLayer::run()
75 {
76 MemoryGroupResourceScope scope_mg(_memory_group);
77 _multiply_f.run();
78 NEScheduler::get().schedule(_norm_kernel.get(), Window::DimY);
79 }
80 }