1 /*
2 * Copyright (c) 2018-2021 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/NEStackLayer.h"
25
26 #include "arm_compute/core/Error.h"
27 #include "arm_compute/core/Helpers.h"
28 #include "arm_compute/core/ITensor.h"
29 #include "arm_compute/core/TensorInfo.h"
30 #include "arm_compute/core/Types.h"
31 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
32 #include "arm_compute/runtime/NEON/NEScheduler.h"
33 #include "src/common/utils/Log.h"
34 #include "src/core/NEON/kernels/NEStackLayerKernel.h"
35
36 namespace arm_compute
37 {
38 NEStackLayer::~NEStackLayer() = default;
39
NEStackLayer()40 NEStackLayer::NEStackLayer() // NOLINT
41 : _input(),
42 _stack_kernels(),
43 _num_inputs(0)
44 {
45 }
46
configure(const std::vector<ITensor * > & input,int axis,ITensor * output)47 void NEStackLayer::configure(const std::vector<ITensor *> &input, int axis, ITensor *output)
48 {
49 ARM_COMPUTE_LOG_PARAMS(input, axis, output);
50
51 _num_inputs = input.size();
52 _stack_kernels.resize(_num_inputs);
53
54 // Wrap around negative values
55 const unsigned int axis_u = wrap_around(axis, static_cast<int>(input[0]->info()->num_dimensions() + 1));
56
57 for(unsigned int i = 0; i < _num_inputs; i++)
58 {
59 _stack_kernels[i] = std::make_unique<NEStackLayerKernel>();
60 _stack_kernels[i]->configure(input[i], axis_u, i, _num_inputs, output);
61 }
62 }
63
validate(const std::vector<ITensorInfo * > & input,int axis,const ITensorInfo * output)64 Status NEStackLayer::validate(const std::vector<ITensorInfo *> &input, int axis, const ITensorInfo *output)
65 {
66 ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output);
67 ARM_COMPUTE_RETURN_ERROR_ON(input.empty());
68
69 // Wrap around negative values
70 const size_t rank = input[0]->num_dimensions();
71 const unsigned int axis_u = wrap_around(axis, static_cast<int>(rank + 1));
72
73 const unsigned int num_inputs = input.size();
74
75 for(unsigned int i = 0; i < num_inputs; i++)
76 {
77 // All the tensors must have the same rank
78 ARM_COMPUTE_RETURN_ERROR_ON(input[i]->num_dimensions() != rank);
79 // Validate Kernel
80 ARM_COMPUTE_RETURN_ON_ERROR(NEStackLayerKernel::validate(input[i], axis_u, i, num_inputs, output));
81 }
82
83 return Status{};
84 }
85
run()86 void NEStackLayer::run()
87 {
88 for(unsigned i = 0; i < _num_inputs; i++)
89 {
90 NEScheduler::get().schedule(_stack_kernels[i].get(), Window::DimY);
91 }
92 }
93 } // namespace arm_compute
94