1 /*
2 * Copyright (c) 2021 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 "src/gpu/cl/ClContext.h"
25
26 #include "src/gpu/cl/ClQueue.h"
27 #include "src/gpu/cl/ClTensor.h"
28
29 #include "arm_compute/core/CL/CLKernelLibrary.h"
30
31 namespace arm_compute
32 {
33 namespace gpu
34 {
35 namespace opencl
36 {
37 namespace
38 {
populate_mlgo(const char * filename)39 mlgo::MLGOHeuristics populate_mlgo(const char *filename)
40 {
41 bool status = false;
42 mlgo::MLGOHeuristics heuristics;
43
44 if(filename != nullptr)
45 {
46 status = heuristics.reload_from_file(filename);
47 }
48 return status ? std::move(heuristics) : mlgo::MLGOHeuristics();
49 }
50 } // namespace
51
ClContext(const AclContextOptions * options)52 ClContext::ClContext(const AclContextOptions *options)
53 : IContext(Target::GpuOcl),
54 _mlgo_heuristics(),
55 _cl_ctx(),
56 _cl_dev()
57 {
58 if(options != nullptr)
59 {
60 _mlgo_heuristics = populate_mlgo(options->kernel_config_file);
61 }
62 _cl_ctx = CLKernelLibrary::get().context();
63 _cl_dev = CLKernelLibrary::get().get_device();
64 }
65
mlgo() const66 const mlgo::MLGOHeuristics &ClContext::mlgo() const
67 {
68 return _mlgo_heuristics;
69 }
70
cl_ctx()71 ::cl::Context ClContext::cl_ctx()
72 {
73 return _cl_ctx;
74 }
75
cl_dev()76 ::cl::Device ClContext::cl_dev()
77 {
78 return _cl_dev;
79 }
80
set_cl_ctx(::cl::Context ctx)81 bool ClContext::set_cl_ctx(::cl::Context ctx)
82 {
83 if(this->refcount() == 0)
84 {
85 _cl_ctx = ctx;
86 CLScheduler::get().set_context(ctx);
87 return true;
88 }
89 return false;
90 }
91
create_tensor(const AclTensorDescriptor & desc,bool allocate)92 ITensorV2 *ClContext::create_tensor(const AclTensorDescriptor &desc, bool allocate)
93 {
94 ClTensor *tensor = new ClTensor(this, desc);
95 if(tensor != nullptr && allocate)
96 {
97 tensor->allocate();
98 }
99 return tensor;
100 }
101
create_queue(const AclQueueOptions * options)102 IQueue *ClContext::create_queue(const AclQueueOptions *options)
103 {
104 return new ClQueue(this, options);
105 }
106 } // namespace opencl
107 } // namespace gpu
108 } // namespace arm_compute
109