1 /*
2 * Copyright (c) 2018-2020 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/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/core/NEON/kernels/NEStackLayerKernel.h"
34 #include "support/MemorySupport.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 _num_inputs = input.size();
50 _stack_kernels.resize(_num_inputs);
51
52 // Wrap around negative values
53 const unsigned int axis_u = wrap_around(axis, static_cast<int>(input[0]->info()->num_dimensions() + 1));
54
55 for(unsigned int i = 0; i < _num_inputs; i++)
56 {
57 _stack_kernels[i] = arm_compute::support::cpp14::make_unique<NEStackLayerKernel>();
58 _stack_kernels[i]->configure(input[i], axis_u, i, _num_inputs, output);
59 }
60 }
61
validate(const std::vector<ITensorInfo * > & input,int axis,const ITensorInfo * output)62 Status NEStackLayer::validate(const std::vector<ITensorInfo *> &input, int axis, const ITensorInfo *output)
63 {
64 ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output);
65 ARM_COMPUTE_RETURN_ERROR_ON(input.empty());
66
67 // Wrap around negative values
68 const size_t rank = input[0]->num_dimensions();
69 const unsigned int axis_u = wrap_around(axis, static_cast<int>(rank + 1));
70
71 const unsigned int num_inputs = input.size();
72
73 for(unsigned int i = 0; i < num_inputs; i++)
74 {
75 // All the tensors must have the same rank
76 ARM_COMPUTE_RETURN_ERROR_ON(input[i]->num_dimensions() != rank);
77 // Validate Kernel
78 ARM_COMPUTE_RETURN_ON_ERROR(NEStackLayerKernel::validate(input[i], axis_u, i, num_inputs, output));
79 }
80
81 return Status{};
82 }
83
run()84 void NEStackLayer::run()
85 {
86 for(unsigned i = 0; i < _num_inputs; i++)
87 {
88 NEScheduler::get().schedule(_stack_kernels[i].get(), Window::DimY);
89 }
90 }
91 } // namespace arm_compute
92