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 <complex>
25
26 #include "arm_compute/runtime/CL/functions/CLStackLayer.h"
27
28 #include "arm_compute/core/CL/ICLTensor.h"
29 #include "arm_compute/core/Error.h"
30 #include "arm_compute/core/Helpers.h"
31 #include "arm_compute/core/TensorInfo.h"
32 #include "arm_compute/core/Types.h"
33 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
34 #include "arm_compute/runtime/CL/CLScheduler.h"
35 #include "src/core/CL/kernels/CLStackLayerKernel.h"
36 #include "support/MemorySupport.h"
37
38 namespace arm_compute
39 {
CLStackLayer()40 CLStackLayer::CLStackLayer() // NOLINT
41 : _input(),
42 _stack_kernels(),
43 _num_inputs(0)
44 {
45 }
46
47 CLStackLayer::~CLStackLayer() = default;
48
configure(const std::vector<ICLTensor * > & input,int axis,ICLTensor * output)49 void CLStackLayer::configure(const std::vector<ICLTensor *> &input, int axis, ICLTensor *output)
50 {
51 configure(CLKernelLibrary::get().get_compile_context(), input, axis, output);
52 }
53
configure(const CLCompileContext & compile_context,const std::vector<ICLTensor * > & input,int axis,ICLTensor * output)54 void CLStackLayer::configure(const CLCompileContext &compile_context, const std::vector<ICLTensor *> &input, int axis, ICLTensor *output)
55 {
56 _num_inputs = input.size();
57 _stack_kernels.reserve(_num_inputs);
58
59 // Wrap around negative values
60 const unsigned int axis_u = wrap_around(axis, static_cast<int>(input[0]->info()->num_dimensions() + 1));
61
62 for(unsigned int i = 0; i < _num_inputs; i++)
63 {
64 _stack_kernels.emplace_back(support::cpp14::make_unique<CLStackLayerKernel>());
65 _stack_kernels.back()->configure(compile_context, input[i], axis_u, i, _num_inputs, output);
66 }
67 }
68
validate(const std::vector<ITensorInfo * > & input,int axis,const ITensorInfo * output)69 Status CLStackLayer::validate(const std::vector<ITensorInfo *> &input, int axis, const ITensorInfo *output)
70 {
71 ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output);
72 ARM_COMPUTE_RETURN_ERROR_ON(input.empty());
73
74 // Wrap around negative values
75 const size_t rank = input[0]->num_dimensions();
76 const unsigned int axis_u = wrap_around(axis, static_cast<int>(rank + 1));
77
78 const unsigned int num_inputs = input.size();
79
80 for(unsigned int i = 0; i < num_inputs; i++)
81 {
82 // All the tensors must have the same rank
83 ARM_COMPUTE_RETURN_ERROR_ON(input[i]->num_dimensions() != rank);
84 // Validate Kernel
85 ARM_COMPUTE_RETURN_ON_ERROR(CLStackLayerKernel::validate(input[i], axis_u, i, num_inputs, output));
86 }
87
88 return Status{};
89 }
90
run()91 void CLStackLayer::run()
92 {
93 for(unsigned i = 0; i < _num_inputs; i++)
94 {
95 CLScheduler::get().enqueue(*_stack_kernels[i], false);
96 }
97 }
98 } // namespace arm_compute
99