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 "GEMMReshapeLHSMatrix.h"
25
26 #include "arm_compute/core/Types.h"
27
28 #include "tests/validation/Helpers.h"
29
30 #include <algorithm>
31 #include <cmath>
32 #include <cstring>
33
34 namespace arm_compute
35 {
36 namespace test
37 {
38 namespace validation
39 {
40 namespace reference
41 {
42 template <typename T>
gemm_reshape_lhs_matrix(const SimpleTensor<T> & in,const TensorShape & output_shape,const GEMMLHSMatrixInfo & lhs_info)43 SimpleTensor<T> gemm_reshape_lhs_matrix(const SimpleTensor<T> &in, const TensorShape &output_shape, const GEMMLHSMatrixInfo &lhs_info)
44 {
45 ARM_COMPUTE_ERROR_ON(in.shape().num_dimensions() > 3);
46
47 SimpleTensor<T> out{ output_shape, in.data_type() };
48
49 // Initialize the output tensor with zero
50 std::memset(&out[0], 0, out.num_elements() * sizeof(T));
51
52 const unsigned int K = in.shape()[0];
53 const unsigned int M = in.shape()[1];
54 const unsigned int B = in.shape()[2];
55
56 const unsigned int num_tiles_x = std::ceil(K / static_cast<float>(lhs_info.k0));
57 const unsigned int num_tiles_y = std::ceil(M / static_cast<float>(lhs_info.m0));
58
59 const TensorShape tile_dims(lhs_info.k0, lhs_info.m0);
60 const TensorShape tile_dims_transposed(lhs_info.m0, lhs_info.k0);
61
62 // Simple tensor for the input tile
63 SimpleTensor<T> src_tile{ tile_dims, in.data_type() };
64
65 // Simple tensor for the input tile
66 SimpleTensor<T> src_tile_transposed{ tile_dims_transposed, in.data_type() };
67
68 // Simple tensor to use when storing the values
69 SimpleTensor<T> *tile_to_use = lhs_info.transpose ? &src_tile_transposed : &src_tile;
70
71 const unsigned int offset_output_x = lhs_info.interleave ? tile_to_use->shape()[0] : tile_to_use->shape()[0] * tile_to_use->shape()[1];
72 const unsigned int step_output_x = lhs_info.interleave ? tile_to_use->shape()[0] * lhs_info.v0 : tile_to_use->shape()[0];
73
74 for(unsigned int z = 0; z < B; ++z)
75 {
76 for(unsigned int y = 0; y < num_tiles_y; ++y)
77 {
78 for(unsigned int x = 0; x < num_tiles_x; ++x)
79 {
80 // Get the tile from the input tensor
81 get_tile<T>(in, src_tile, Coordinates(x * lhs_info.k0, y * lhs_info.m0, z, 0));
82
83 if(lhs_info.transpose)
84 {
85 // Transpose matrix
86 transpose_matrix<T>(src_tile, src_tile_transposed);
87 }
88
89 // Store
90 const unsigned int offset_output = (x * lhs_info.k0 * lhs_info.m0 * lhs_info.v0) + ((y % lhs_info.v0) * offset_output_x) + ((y / lhs_info.v0) * out.shape()[0]) + (z * out.shape()[0] * out.shape()[1]);
91
92 for(unsigned int i = 0; i < tile_to_use->shape()[1]; ++i)
93 {
94 const unsigned int offset_tile = i * tile_to_use->shape()[0];
95
96 // Copy per row
97 std::copy(&(*tile_to_use)[offset_tile], &(*tile_to_use)[offset_tile + tile_to_use->shape()[0]], &out[offset_output + i * step_output_x]);
98 }
99 }
100 }
101 }
102
103 return out;
104 }
105 template SimpleTensor<int> gemm_reshape_lhs_matrix(const SimpleTensor<int> &in, const TensorShape &output_shape, const GEMMLHSMatrixInfo &lhs_info);
106 template SimpleTensor<short> gemm_reshape_lhs_matrix(const SimpleTensor<short> &in, const TensorShape &output_shape, const GEMMLHSMatrixInfo &lhs_info);
107 template SimpleTensor<char> gemm_reshape_lhs_matrix(const SimpleTensor<char> &in, const TensorShape &output_shape, const GEMMLHSMatrixInfo &lhs_info);
108 } // namespace reference
109 } // namespace validation
110 } // namespace test
111 } // namespace arm_compute