1 /*
2 * Copyright (c) 2016-2019 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 "arm_compute/runtime/CL/CLTensor.h"
25
26 #include "arm_compute/runtime/CL/CLRuntimeContext.h"
27 #include "arm_compute/runtime/CL/CLScheduler.h"
28
29 namespace arm_compute
30 {
CLTensor(IRuntimeContext * ctx)31 CLTensor::CLTensor(IRuntimeContext *ctx)
32 : _allocator(this, static_cast<CLRuntimeContext *>(ctx)), _ctx(static_cast<CLRuntimeContext *>(ctx))
33 {
34 }
35
context()36 CLRuntimeContext *CLTensor::context()
37 {
38 return _ctx;
39 }
40
info() const41 TensorInfo *CLTensor::info() const
42 {
43 return &_allocator.info();
44 }
45
info()46 TensorInfo *CLTensor::info()
47 {
48 return &_allocator.info();
49 }
50
cl_buffer() const51 const cl::Buffer &CLTensor::cl_buffer() const
52 {
53 return _allocator.cl_data();
54 }
55
quantization() const56 CLQuantization CLTensor::quantization() const
57 {
58 return _allocator.quantization();
59 }
60
allocator()61 CLTensorAllocator *CLTensor::allocator()
62 {
63 return &_allocator;
64 }
65
map(bool blocking)66 void CLTensor::map(bool blocking)
67 {
68 ICLTensor::map(_ctx == nullptr ? CLScheduler::get().queue() : _ctx->gpu_scheduler()->queue(), blocking);
69 }
70
unmap()71 void CLTensor::unmap()
72 {
73 ICLTensor::unmap(_ctx == nullptr ? CLScheduler::get().queue() : _ctx->gpu_scheduler()->queue());
74 }
75
do_map(cl::CommandQueue & q,bool blocking)76 uint8_t *CLTensor::do_map(cl::CommandQueue &q, bool blocking)
77 {
78 return _allocator.map(q, blocking);
79 }
80
do_unmap(cl::CommandQueue & q)81 void CLTensor::do_unmap(cl::CommandQueue &q)
82 {
83 _allocator.unmap(q, buffer());
84 }
85
associate_memory_group(arm_compute::IMemoryGroup * memory_group)86 void CLTensor::associate_memory_group(arm_compute::IMemoryGroup *memory_group)
87 {
88 _allocator.set_associated_memory_group(memory_group);
89 }
90 } // namespace arm_compute
91