tiny_dnn 1.0.0
A header only, dependency-free deep learning framework in C++11
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device.h
1/*
2 COPYRIGHT
3
4 All contributions by Taiga Nomi
5 Copyright (c) 2013, Taiga Nomi
6 All rights reserved.
7
8 All other contributions:
9 Copyright (c) 2013-2016, the respective contributors.
10 All rights reserved.
11
12 Each contributor holds copyright over their respective contributions.
13 The project versioning (Git) records all such contribution source information.
14
15 LICENSE
16
17 The BSD 3-Clause License
18
19
20 Redistribution and use in source and binary forms, with or without
21 modification, are permitted provided that the following conditions are met:
22
23 * Redistributions of source code must retain the above copyright notice, this
24 list of conditions and the following disclaimer.
25
26 * Redistributions in binary form must reproduce the above copyright notice,
27 this list of conditions and the following disclaimer in the documentation
28 and/or other materials provided with the distribution.
29
30 * Neither the name of tiny-dnn nor the names of its
31 contributors may be used to endorse or promote products derived from
32 this software without specific prior written permission.
33
34 THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
35 AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
36 IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
37 DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
38 FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
39 DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
40 SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
41 CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
42 OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
43 OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
44*/
45#pragma once
46
47#include "tiny_dnn/core/framework/device.fwd.h"
48#include "tiny_dnn/core/framework/program_manager.h"
49
50namespace tiny_dnn {
51
52inline Device::Device(device_t type)
53 : type_(type), has_clcuda_api_(false) {
54 nn_info("Initializing Non-OpenCL device ...");
55 if (type == device_t::GPU) {
56 throw nn_error("Bad GPU device initialization. "
57 "Please provide platform_id and device_id");
58 }
59 nn_info("Initializing Non-OpenCL device ... OK");
60}
61
62inline Device::Device(device_t type,
63 const int platform_id,
64 const int device_id)
65 : type_(type)
66 , has_clcuda_api_(true)
67 , platform_id_(platform_id)
68 , device_id_(device_id) {
69#if defined(USE_OPENCL) || defined(USE_CUDA)
70 // Instantiate Platform and Device
71 nn_info("Initializing OpenCL platform ...");
72 auto platform = CLCudaAPI::Platform(platform_id);
73
74 // Print short pltform info
75 nn_info("Initializing OpenCL platform ... OK");
76 nn_info("-- Running on platform "
77 + to_string(platform_id) +
78 ". Found " + to_string(platform.NumDevices()) + " devices.");
79
80 // Create and retain device object
81 nn_info("Initializing OpenCL device ...");
82 device_.reset(new CLCudaAPI::Device(platform, device_id));
83
84 // Print short device info
85 nn_info("Initializing OpenCL device ... OK");
86 nn_info("-- Running on device " + to_string(device_->Name()) +
87 " of " + to_string(device_->Vendor()));
88 nn_info("-- Device type: " + to_string(device_->Type()));
89 nn_info("-- Capabilities: " + to_string(device_->Capabilities()));
90
91 // check device type
92 if (type == device_t::CPU && !device_->IsCPU()) {
93 throw nn_error("Not found a CPU device. You are on: " +
94 to_string(device_->Type()));
95 }
96 else if (type == device_t::GPU && !device_->IsGPU()) {
97 throw nn_error("Not found a GPU device. You are on: " +
98 to_string(device_->Type()));
99 }
100
101 // Create and retain device context
102 nn_info("Initializing OpenCL device context ...");
103
104 context_.reset(new CLCudaAPI::Context(*device_));
105 queue_.reset(new CLCudaAPI::Queue(*context_, *device_));
106
107 nn_info("Initializing OpenCL device context ... OK");
108#else
109 nn_error("TinyDNN has not been compiled with OpenCL or CUDA support.");
110#endif
111}
112
113inline void Device::registerOp(layer &l) {
114 // TODO(egdar/nyanp): Should we raise an error here?
115 if (!hasCLCudaAPI()) {
116 throw nn_error("Cannot register layer: " + l.layer_type()
117 + ". Device has disabled OpenCL support. Please "
118 "specify platform and device in "
119 "Device constructor");
120 }
121
122 if (l.engine() != core::backend_t::opencl &&
123 l.engine() != core::backend_t::libdnn) {
124 throw nn_error("Cannot register layer: " + l.layer_type() +
125 ". Enabled engine: " + to_string(l.engine()) + ". OpenCL engine "
126 "(backend_t::opencl) should be used.");
127 }
128
129 // Register the op to this device
130 ProgramManager::getInstance().registerOp(*this, l);
131}
132
133} // namespace tiny_dnn