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 "SliceOperations.h"
25
26 #include "arm_compute/core/utils/helpers/tensor_transform.h"
27 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
28
29 namespace arm_compute
30 {
31 namespace test
32 {
33 namespace validation
34 {
35 namespace reference
36 {
37 template <typename T>
slice(const SimpleTensor<T> & src,Coordinates starts,Coordinates ends)38 SimpleTensor<T> slice(const SimpleTensor<T> &src, Coordinates starts, Coordinates ends)
39 {
40 using namespace arm_compute::helpers::tensor_transform;
41
42 // Validation checks
43 ARM_COMPUTE_ERROR_ON(src.shape().num_dimensions() > 4);
44 ARM_COMPUTE_ERROR_ON(starts.num_dimensions() > src.shape().num_dimensions());
45 ARM_COMPUTE_ERROR_ON(std::any_of(starts.cbegin(), starts.cbegin() + starts.num_dimensions(), [](int i)
46 {
47 return i < 0;
48 }));
49 ARM_COMPUTE_ERROR_ON(ends.num_dimensions() > src.shape().num_dimensions());
50
51 // Get source shape
52 const TensorShape &src_shape = src.shape();
53
54 // Get destination shape
55 TensorShape dst_shape = arm_compute::misc::shape_calculator::compute_slice_shape(src_shape, starts, ends);
56
57 // Create destination tensor
58 SimpleTensor<T> dst{ dst_shape, src.data_type(), 1 };
59
60 // Perform slice
61 Window win;
62 win.use_tensor_dimensions(dst_shape);
63 execute_window_loop(win, [&](const Coordinates & id)
64 {
65 Coordinates offset;
66 for(unsigned int i = 0; i < id.num_dimensions(); ++i)
67 {
68 offset.set(i, starts[i] + id[i]);
69 }
70 *reinterpret_cast<T *>(dst(id)) = *reinterpret_cast<const T *>(src(offset));
71 });
72
73 return dst;
74 }
75
76 template SimpleTensor<float> slice(const SimpleTensor<float> &src, Coordinates starts, Coordinates ends);
77 template SimpleTensor<half_float::half> slice(const SimpleTensor<half_float::half> &src, Coordinates starts, Coordinates ends);
78
79 template <typename T>
strided_slice(const SimpleTensor<T> & src,Coordinates starts,Coordinates ends,BiStrides strides,int32_t begin_mask,int32_t end_mask,int32_t shrink_axis_mask)80 SimpleTensor<T> strided_slice(const SimpleTensor<T> &src,
81 Coordinates starts, Coordinates ends, BiStrides strides,
82 int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
83 {
84 using namespace arm_compute::helpers::tensor_transform;
85
86 // Validation checks
87 ARM_COMPUTE_ERROR_ON(src.shape().num_dimensions() > 4);
88 ARM_COMPUTE_ERROR_ON(starts.num_dimensions() > src.shape().num_dimensions());
89 ARM_COMPUTE_ERROR_ON(ends.num_dimensions() > src.shape().num_dimensions());
90 ARM_COMPUTE_ERROR_ON(strides.num_dimensions() > src.shape().num_dimensions());
91 ARM_COMPUTE_ERROR_ON(std::any_of(strides.cbegin(), strides.cbegin() + strides.num_dimensions(), [](int i)
92 {
93 return i == 0;
94 }));
95
96 // Get source shape
97 const TensorShape &src_shape = src.shape();
98
99 // Get destination shape
100 const TensorShape dst_shape = compute_strided_slice_output_shape(src_shape, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask);
101
102 // Create destination tensor
103 SimpleTensor<T> dst{ dst_shape, src.data_type(), 1 };
104
105 // Get coordinates
106 Coordinates starts_abs{};
107 Coordinates ends_abs{};
108 Coordinates final_strides{};
109 std::tie(starts_abs, ends_abs, final_strides) = calculate_strided_slice_coords(src_shape,
110 starts, ends, strides,
111 begin_mask, end_mask, shrink_axis_mask);
112
113 // Perform strided slice
114 unsigned int idx = 0;
115 Window win;
116 win.use_tensor_dimensions(compute_strided_slice_output_shape(src_shape,
117 starts, ends, strides,
118 begin_mask, end_mask, shrink_axis_mask, true));
119 execute_window_loop(win, [&](const Coordinates & id)
120 {
121 Coordinates offset;
122 for(unsigned int i = 0; i < id.num_dimensions(); ++i)
123 {
124 offset.set(i, starts_abs[i] + id[i] * final_strides[i]);
125 }
126 dst.data()[idx++] = *reinterpret_cast<const T *>(src(offset));
127 });
128
129 return dst;
130 }
131
132 template SimpleTensor<float> strided_slice(const SimpleTensor<float> &src,
133 Coordinates starts, Coordinates ends, BiStrides strides,
134 int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask);
135 template SimpleTensor<half_float::half> strided_slice(const SimpleTensor<half_float::half> &src,
136 Coordinates starts, Coordinates ends, BiStrides strides,
137 int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask);
138 } // namespace reference
139 } // namespace validation
140 } // namespace test
141 } // namespace arm_compute
142