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
25 #include "arm_compute/runtime/NEON/functions/NESpaceToBatchLayer.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/NEMemsetKernel.h"
33 #include "src/core/NEON/kernels/NESpaceToBatchLayerKernel.h"
34 #include "support/MemorySupport.h"
35
36 namespace arm_compute
37 {
38 NESpaceToBatchLayer::~NESpaceToBatchLayer() = default;
39
NESpaceToBatchLayer()40 NESpaceToBatchLayer::NESpaceToBatchLayer()
41 : _space_to_batch_kernel(), _memset_kernel(), _has_padding(false)
42 {
43 }
44
configure(const ITensor * input,const ITensor * block_shape,const ITensor * paddings,ITensor * output)45 void NESpaceToBatchLayer::configure(const ITensor *input, const ITensor *block_shape, const ITensor *paddings, ITensor *output)
46 {
47 ARM_COMPUTE_ERROR_ON_NULLPTR(input, block_shape, paddings, output);
48
49 if(input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size())
50 {
51 _has_padding = true;
52 _memset_kernel = arm_compute::support::cpp14::make_unique<NEMemsetKernel>();
53 _memset_kernel->configure(output, PixelValue(0, input->info()->data_type(), input->info()->quantization_info()));
54 }
55 _space_to_batch_kernel = arm_compute::support::cpp14::make_unique<NESpaceToBatchLayerKernel>();
56 _space_to_batch_kernel->configure(input, block_shape, paddings, output);
57 }
58
configure(const ITensor * input,const int block_shape_x,const int block_shape_y,const Size2D & padding_left,const Size2D & padding_right,ITensor * output)59 void NESpaceToBatchLayer::configure(const ITensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ITensor *output)
60 {
61 ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
62
63 if(input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size())
64 {
65 _has_padding = true;
66 _memset_kernel = arm_compute::support::cpp14::make_unique<NEMemsetKernel>();
67 _memset_kernel->configure(output, PixelValue(0, input->info()->data_type(), input->info()->quantization_info()));
68 }
69 _space_to_batch_kernel = arm_compute::support::cpp14::make_unique<NESpaceToBatchLayerKernel>();
70 _space_to_batch_kernel->configure(input, block_shape_x, block_shape_y, padding_left, padding_right, output);
71 }
72
validate(const ITensorInfo * input,const ITensorInfo * block_shape,const ITensorInfo * paddings,const ITensorInfo * output)73 Status NESpaceToBatchLayer::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output)
74 {
75 ARM_COMPUTE_RETURN_ON_ERROR(NESpaceToBatchLayerKernel::validate(input, block_shape, paddings, output));
76
77 return Status{};
78 }
79
validate(const ITensorInfo * input,const int block_shape_x,const int block_shape_y,const Size2D & padding_left,const Size2D & padding_right,const ITensorInfo * output)80 Status NESpaceToBatchLayer::validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right,
81 const ITensorInfo *output)
82 {
83 ARM_COMPUTE_RETURN_ON_ERROR(NESpaceToBatchLayerKernel::validate(input, block_shape_x, block_shape_y, padding_left, padding_right, output));
84
85 return Status{};
86 }
87
run()88 void NESpaceToBatchLayer::run()
89 {
90 // Zero out output only if we have paddings
91 if(_has_padding)
92 {
93 NEScheduler::get().schedule(_memset_kernel.get(), Window::DimY);
94 }
95 NEScheduler::get().schedule(_space_to_batch_kernel.get(), Window::DimY);
96 }
97 } // namespace arm_compute
98