cxx11_tensor_broadcast_sycl.cpp
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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 
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 
71  cl::sycl::gpu_selector s;
72  Eigen::SyclDevice sycl_device(s);
73  CALL_SUBTEST(test_broadcast_sycl(sycl_device));
74 }
int array[24]
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index dimension(std::size_t n) const
Definition: Tensor.h:101
EIGEN_DEVICE_FUNC static EIGEN_ALWAYS_INLINE std::size_t size()
Definition: EmulateArray.h:39
TensorDevice< TensorMap< PlainObjectType, Options_, MakePointer_ >, DeviceType > device(const DeviceType &device)
Definition: TensorBase.h:999
#define VERIFY_IS_APPROX(a, b)
static const Line3 l(Rot3(), 1, 1)
#define VERIFY_IS_EQUAL(a, b)
Definition: main.h:331
A tensor expression mapping an existing array of data.
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE DenseIndex TotalSize() const
RealScalar s
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar * data()
Definition: Tensor.h:104
#define CALL_SUBTEST(FUNC)
Definition: main.h:342
void test_cxx11_tensor_broadcast_sycl()
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions & dimensions() const
Definition: Tensor.h:102
static void test_broadcast_sycl(const Eigen::SyclDevice &sycl_device)
std::ptrdiff_t j
The tensor class.
Definition: Tensor.h:63
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index size() const
Definition: Tensor.h:103


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autogenerated on Sat May 8 2021 02:41:55