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/NEUnstack.h"
25
26 #include "arm_compute/core/Error.h"
27 #include "arm_compute/core/ITensor.h"
28 #include "arm_compute/core/TensorInfo.h"
29 #include "arm_compute/core/Types.h"
30 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
31 #include "src/common/utils/Log.h"
32
33 namespace arm_compute
34 {
35 namespace
36 {
wrap_axis(int axis,const ITensorInfo * const tensor)37 inline unsigned int wrap_axis(int axis, const ITensorInfo *const tensor)
38 {
39 return wrap_around(axis, static_cast<int>(tensor->num_dimensions()));
40 }
41
setup_slice_coordinates_and_mask(Coordinates & slice_start,int32_t & slice_end_mask,const unsigned int input_num_dimensions)42 inline void setup_slice_coordinates_and_mask(Coordinates &slice_start, int32_t &slice_end_mask, const unsigned int input_num_dimensions)
43 {
44 // Setups up coordinates to slice the input tensor: start coordinates to all 0s and the unstacking axis of both Start/End to slice just one 2d tensor at a time.
45 Coordinates slice_end;
46 slice_start.set_num_dimensions(input_num_dimensions);
47 slice_end.set_num_dimensions(input_num_dimensions);
48 for(size_t k = 0; k < input_num_dimensions; ++k)
49 {
50 slice_start.set(k, 0);
51 slice_end.set(k, -1);
52 }
53 slice_end_mask = arm_compute::helpers::tensor_transform::construct_slice_end_mask(slice_end);
54 }
55 } // namespace
56
NEUnstack()57 NEUnstack::NEUnstack() // NOLINT
58 : _num_slices(0),
59 _strided_slice_vector()
60 {
61 }
62
configure(const ITensor * input,const std::vector<ITensor * > & output_vector,int axis)63 void NEUnstack::configure(const ITensor *input, const std::vector<ITensor *> &output_vector, int axis)
64 {
65 std::vector<ITensorInfo *> outputs_vector_info(output_vector.size());
66 std::transform(output_vector.begin(), output_vector.end(), outputs_vector_info.begin(), [](ITensor * t)
67 {
68 ARM_COMPUTE_ERROR_ON_NULLPTR(t);
69 return t->info();
70 });
71
72 ARM_COMPUTE_ERROR_ON_NULLPTR(input);
73 ARM_COMPUTE_ERROR_THROW_ON(NEUnstack::validate(input->info(), outputs_vector_info, axis));
74 ARM_COMPUTE_LOG_PARAMS(input, output_vector, axis);
75
76 // Wrap around negative values
77 const unsigned int axis_u = wrap_axis(axis, input->info());
78 _num_slices = std::min(outputs_vector_info.size(), input->info()->dimension(axis_u));
79 _strided_slice_vector.resize(_num_slices);
80
81 Coordinates slice_start;
82 int32_t slice_end_mask;
83 setup_slice_coordinates_and_mask(slice_start, slice_end_mask, input->info()->tensor_shape().num_dimensions());
84 for(unsigned int slice = 0; slice < _num_slices; ++slice)
85 {
86 // Adjusts start and end coordinates to take a 2D slice at a time
87 slice_start.set(axis_u, slice);
88 _strided_slice_vector[slice].configure(input, output_vector[slice], slice_start, Coordinates(), BiStrides(), 0, slice_end_mask, (1 << axis_u));
89 }
90 }
91
validate(const ITensorInfo * input,const std::vector<ITensorInfo * > & output_vector,int axis)92 Status NEUnstack::validate(const ITensorInfo *input, const std::vector<ITensorInfo *> &output_vector, int axis)
93 {
94 ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input);
95 ARM_COMPUTE_RETURN_ERROR_ON(output_vector.empty());
96 ARM_COMPUTE_RETURN_ERROR_ON(axis < (-static_cast<int>(input->tensor_shape().num_dimensions())));
97 ARM_COMPUTE_RETURN_ERROR_ON(axis >= static_cast<int>(input->tensor_shape().num_dimensions()));
98
99 const unsigned int num_slices = std::min(output_vector.size(), input->dimension(wrap_axis(axis, input)));
100 ARM_COMPUTE_RETURN_ERROR_ON(num_slices > input->dimension(wrap_axis(axis, input)));
101 ARM_COMPUTE_RETURN_ERROR_ON(num_slices > output_vector.size());
102
103 Coordinates slice_start;
104 int32_t slice_end_mask;
105 for(size_t k = 0; k < num_slices; ++k)
106 {
107 slice_start.set(wrap_axis(axis, input), k);
108 setup_slice_coordinates_and_mask(slice_start, slice_end_mask, input->tensor_shape().num_dimensions());
109 ARM_COMPUTE_RETURN_ON_ERROR(NEStridedSlice::validate(input, output_vector[k], slice_start, Coordinates(), BiStrides(), 0, slice_end_mask, (1 << wrap_axis(axis, input))));
110 }
111 return Status{};
112 }
113
run()114 void NEUnstack::run()
115 {
116 for(unsigned i = 0; i < _num_slices; ++i)
117 {
118 _strided_slice_vector[i].run();
119 }
120 }
121 } // namespace arm_compute
122