1 /*
2 * Copyright (c) 2018-2019 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
32 namespace arm_compute
33 {
34 namespace
35 {
wrap_axis(int axis,const ITensorInfo * const tensor)36 inline unsigned int wrap_axis(int axis, const ITensorInfo *const tensor)
37 {
38 return wrap_around(axis, static_cast<int>(tensor->num_dimensions()));
39 }
40
setup_slice_coordinates_and_mask(Coordinates & slice_start,int32_t & slice_end_mask,const unsigned int input_num_dimensions)41 inline void setup_slice_coordinates_and_mask(Coordinates &slice_start, int32_t &slice_end_mask, const unsigned int input_num_dimensions)
42 {
43 // 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.
44 Coordinates slice_end;
45 slice_start.set_num_dimensions(input_num_dimensions);
46 slice_end.set_num_dimensions(input_num_dimensions);
47 for(size_t k = 0; k < input_num_dimensions; ++k)
48 {
49 slice_start.set(k, 0);
50 slice_end.set(k, -1);
51 }
52 slice_end_mask = arm_compute::helpers::tensor_transform::construct_slice_end_mask(slice_end);
53 }
54 } // namespace
55
NEUnstack()56 NEUnstack::NEUnstack() // NOLINT
57 : _num_slices(0),
58 _strided_slice_vector()
59 {
60 }
61
configure(const ITensor * input,const std::vector<ITensor * > & output_vector,int axis)62 void NEUnstack::configure(const ITensor *input, const std::vector<ITensor *> &output_vector, int axis)
63 {
64 std::vector<ITensorInfo *> outputs_vector_info(output_vector.size());
65 std::transform(output_vector.begin(), output_vector.end(), outputs_vector_info.begin(), [](ITensor * t)
66 {
67 ARM_COMPUTE_ERROR_ON_NULLPTR(t);
68 return t->info();
69 });
70
71 ARM_COMPUTE_ERROR_ON_NULLPTR(input);
72 ARM_COMPUTE_ERROR_THROW_ON(NEUnstack::validate(input->info(), outputs_vector_info, axis));
73
74 // Wrap around negative values
75 const unsigned int axis_u = wrap_axis(axis, input->info());
76 _num_slices = std::min(outputs_vector_info.size(), input->info()->dimension(axis_u));
77 _strided_slice_vector.resize(_num_slices);
78
79 Coordinates slice_start;
80 int32_t slice_end_mask;
81 setup_slice_coordinates_and_mask(slice_start, slice_end_mask, input->info()->tensor_shape().num_dimensions());
82 for(unsigned int slice = 0; slice < _num_slices; ++slice)
83 {
84 // Adjusts start and end coordinates to take a 2D slice at a time
85 slice_start.set(axis_u, slice);
86 _strided_slice_vector[slice].configure(input, output_vector[slice], slice_start, Coordinates(), BiStrides(), 0, slice_end_mask, (1 << axis_u));
87 }
88 }
89
validate(const ITensorInfo * input,const std::vector<ITensorInfo * > & output_vector,int axis)90 Status NEUnstack::validate(const ITensorInfo *input, const std::vector<ITensorInfo *> &output_vector, int axis)
91 {
92 ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input);
93 ARM_COMPUTE_RETURN_ERROR_ON(output_vector.empty());
94 ARM_COMPUTE_RETURN_ERROR_ON(axis < (-static_cast<int>(input->tensor_shape().num_dimensions())));
95 ARM_COMPUTE_RETURN_ERROR_ON(axis >= static_cast<int>(input->tensor_shape().num_dimensions()));
96
97 const unsigned int num_slices = std::min(output_vector.size(), input->dimension(wrap_axis(axis, input)));
98 ARM_COMPUTE_RETURN_ERROR_ON(num_slices > input->dimension(wrap_axis(axis, input)));
99 ARM_COMPUTE_RETURN_ERROR_ON(num_slices > output_vector.size());
100
101 Coordinates slice_start;
102 int32_t slice_end_mask;
103 for(size_t k = 0; k < num_slices; ++k)
104 {
105 slice_start.set(wrap_axis(axis, input), k);
106 setup_slice_coordinates_and_mask(slice_start, slice_end_mask, input->tensor_shape().num_dimensions());
107 ARM_COMPUTE_RETURN_ON_ERROR(NEStridedSlice::validate(input, output_vector[k], slice_start, Coordinates(), BiStrides(), 0, slice_end_mask, (1 << wrap_axis(axis, input))));
108 }
109 return Status{};
110 }
111
run()112 void NEUnstack::run()
113 {
114 for(unsigned i = 0; i < _num_slices; ++i)
115 {
116 _strided_slice_vector[i].run();
117 }
118 }
119 } // namespace arm_compute
120