1 // This file is part of Eigen, a lightweight C++ template library
2 // for linear algebra.
3 //
4 // Copyright (C) 2016
5 // Mehdi Goli Codeplay Software Ltd.
6 // Ralph Potter Codeplay Software Ltd.
7 // Luke Iwanski Codeplay Software Ltd.
8 // Contact: <eigen@codeplay.com>
9 //
10 // This Source Code Form is subject to the terms of the Mozilla
11 // Public License v. 2.0. If a copy of the MPL was not distributed
12 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
13
14 #define EIGEN_TEST_NO_LONGDOUBLE
15 #define EIGEN_TEST_NO_COMPLEX
16 #define EIGEN_TEST_FUNC cxx11_tensor_broadcast_sycl
17 #define EIGEN_DEFAULT_DENSE_INDEX_TYPE int
18 #define EIGEN_USE_SYCL
19
20 #include "main.h"
21 #include <unsupported/Eigen/CXX11/Tensor>
22
23 using Eigen::array;
24 using Eigen::SyclDevice;
25 using Eigen::Tensor;
26 using Eigen::TensorMap;
27
test_broadcast_sycl(const Eigen::SyclDevice & sycl_device)28 static void test_broadcast_sycl(const Eigen::SyclDevice &sycl_device){
29
30 // BROADCAST test:
31 array<int, 4> in_range = {{2, 3, 5, 7}};
32 array<int, 4> broadcasts = {{2, 3, 1, 4}};
33 array<int, 4> out_range; // = in_range * broadcasts
34 for (size_t i = 0; i < out_range.size(); ++i)
35 out_range[i] = in_range[i] * broadcasts[i];
36
37 Tensor<float, 4> input(in_range);
38 Tensor<float, 4> out(out_range);
39
40 for (size_t i = 0; i < in_range.size(); ++i)
41 VERIFY_IS_EQUAL(out.dimension(i), out_range[i]);
42
43
44 for (int i = 0; i < input.size(); ++i)
45 input(i) = static_cast<float>(i);
46
47 float * gpu_in_data = static_cast<float*>(sycl_device.allocate(input.dimensions().TotalSize()*sizeof(float)));
48 float * gpu_out_data = static_cast<float*>(sycl_device.allocate(out.dimensions().TotalSize()*sizeof(float)));
49
50 TensorMap<Tensor<float, 4>> gpu_in(gpu_in_data, in_range);
51 TensorMap<Tensor<float, 4>> gpu_out(gpu_out_data, out_range);
52 sycl_device.memcpyHostToDevice(gpu_in_data, input.data(),(input.dimensions().TotalSize())*sizeof(float));
53 gpu_out.device(sycl_device) = gpu_in.broadcast(broadcasts);
54 sycl_device.memcpyDeviceToHost(out.data(), gpu_out_data,(out.dimensions().TotalSize())*sizeof(float));
55
56 for (int i = 0; i < 4; ++i) {
57 for (int j = 0; j < 9; ++j) {
58 for (int k = 0; k < 5; ++k) {
59 for (int l = 0; l < 28; ++l) {
60 VERIFY_IS_APPROX(input(i%2,j%3,k%5,l%7), out(i,j,k,l));
61 }
62 }
63 }
64 }
65 printf("Broadcast Test Passed\n");
66 sycl_device.deallocate(gpu_in_data);
67 sycl_device.deallocate(gpu_out_data);
68 }
69
test_cxx11_tensor_broadcast_sycl()70 void test_cxx11_tensor_broadcast_sycl() {
71 cl::sycl::gpu_selector s;
72 Eigen::SyclDevice sycl_device(s);
73 CALL_SUBTEST(test_broadcast_sycl(sycl_device));
74 }
75