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/NEInstanceNormalizationLayer.h"
25
26 #include "arm_compute/core/Helpers.h"
27 #include "arm_compute/core/KernelDescriptors.h"
28 #include "arm_compute/runtime/NEON/NEScheduler.h"
29 #include "src/core/NEON/kernels/NEInstanceNormalizationLayerKernel.h"
30 #include "support/MemorySupport.h"
31
32 namespace arm_compute
33 {
34 NEInstanceNormalizationLayer::~NEInstanceNormalizationLayer() = default;
35
NEInstanceNormalizationLayer(std::shared_ptr<IMemoryManager> memory_manager)36 NEInstanceNormalizationLayer::NEInstanceNormalizationLayer(std::shared_ptr<IMemoryManager> memory_manager)
37 : _memory_group(std::move(memory_manager)), _normalization_kernel(), _is_nchw(false), _permute_input(), _permute_output(), _permuted_input(), _permuted_output()
38 {
39 }
40
configure(ITensor * input,ITensor * output,float gamma,float beta,float epsilon)41 void NEInstanceNormalizationLayer::configure(ITensor *input, ITensor *output, float gamma, float beta, float epsilon)
42 {
43 const DataLayout data_layout = input->info()->data_layout();
44 const auto kernel_descriptor = InstanceNormalizationLayerKernelInfo{ gamma, beta, epsilon, true };
45
46 // Configure Kernels
47 _is_nchw = data_layout == DataLayout::NCHW;
48
49 _normalization_kernel = arm_compute::support::cpp14::make_unique<NEInstanceNormalizationLayerKernel>();
50
51 if(!_is_nchw)
52 {
53 _memory_group.manage(&_permuted_input);
54 _memory_group.manage(&_permuted_output);
55
56 // Configure the function to transform the input tensor from NHWC -> NCHW
57 _permute_input.configure(input, &_permuted_input, PermutationVector(1U, 2U, 0U));
58 _permuted_input.info()->set_data_layout(DataLayout::NCHW);
59
60 _normalization_kernel->configure(&_permuted_input, &_permuted_output, kernel_descriptor);
61 _permuted_output.info()->set_data_layout(DataLayout::NCHW);
62
63 _permute_output.configure(&_permuted_output, output != nullptr ? output : input, PermutationVector(2U, 0U, 1U));
64 _permuted_input.allocator()->allocate();
65 _permuted_output.allocator()->allocate();
66 }
67 else
68 {
69 _normalization_kernel->configure(input, output, kernel_descriptor);
70 }
71 }
72
validate(const ITensorInfo * input,const ITensorInfo * output,float gamma,float beta,float epsilon)73 Status NEInstanceNormalizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, float gamma, float beta, float epsilon)
74 {
75 return NEInstanceNormalizationLayerKernel::validate(&input->clone()->set_data_layout(DataLayout::NCHW),
76 &output->clone()->set_data_layout(DataLayout::NCHW),
77 InstanceNormalizationLayerKernelInfo{ gamma, beta, epsilon, true });
78 }
79
run()80 void NEInstanceNormalizationLayer::run()
81 {
82 MemoryGroupResourceScope scope_mg(_memory_group);
83
84 // Permute input
85 if(!_is_nchw)
86 {
87 _permute_input.run();
88 }
89
90 NEScheduler::get().schedule(_normalization_kernel.get(), Window::DimZ);
91
92 // Permute output
93 if(!_is_nchw)
94 {
95 _permute_output.run();
96 }
97 }
98 } // namespace arm_compute
99