blob: 0ddd4dce5131667cdb58f0ba4f6fa785285ff90d (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
|
/* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifdef TENSORFLOW_USE_SYCL
#include "tensorflow/core/common_runtime/sycl/sycl_allocator.h"
namespace tensorflow {
SYCLAllocator::SYCLAllocator(Eigen::QueueInterface *queue)
: sycl_device_(new Eigen::SyclDevice(queue)) {
cl::sycl::queue& sycl_queue = sycl_device_->sycl_queue();
const cl::sycl::device& device = sycl_queue.get_device();
stats_.bytes_limit =
device.get_info<cl::sycl::info::device::max_mem_alloc_size>();
}
SYCLAllocator::~SYCLAllocator() {
if(sycl_device_) {
delete sycl_device_;
}
}
string SYCLAllocator::Name() { return "device:SYCL"; }
void *SYCLAllocator::AllocateRaw(size_t alignment, size_t num_bytes) {
assert(sycl_device_);
if (num_bytes == 0) {
// Cannot allocate no bytes in SYCL, so instead allocate a single byte
num_bytes = 1;
}
auto p = sycl_device_->allocate(num_bytes);
const auto& allocated_buffer = sycl_device_->get_sycl_buffer(p);
const std::size_t bytes_allocated = allocated_buffer.get_range().size();
mutex_lock lock(mu_);
++stats_.num_allocs;
stats_.bytes_in_use += bytes_allocated;
stats_.max_bytes_in_use =
std::max<int64>(stats_.max_bytes_in_use, stats_.bytes_in_use);
stats_.max_alloc_size =
std::max<int64>(stats_.max_alloc_size, bytes_allocated);
return p;
}
void SYCLAllocator::DeallocateRaw(void *ptr) {
const auto& buffer_to_delete = sycl_device_->get_sycl_buffer(ptr);
const std::size_t dealloc_size = buffer_to_delete.get_range().size();
mutex_lock lock(mu_);
stats_.bytes_in_use -= dealloc_size;
if (sycl_device_) {
sycl_device_->deallocate(ptr);
}
}
void SYCLAllocator::GetStats(AllocatorStats* stats) {
mutex_lock lock(mu_);
*stats = stats_;
}
size_t SYCLAllocator::RequestedSize(void* ptr) {
const auto& buffer = sycl_device_->get_sycl_buffer(ptr);
return buffer.get_size();
}
} // namespace tensorflow
#endif // TENSORFLOW_USE_SYCL
|
