1 | /* Copyright 2017 The TensorFlow Authors. All Rights Reserved. |
2 | |
3 | Licensed under the Apache License, Version 2.0 (the "License"); |
4 | you may not use this file except in compliance with the License. |
5 | You may obtain a copy of the License at |
6 | |
7 | http://www.apache.org/licenses/LICENSE-2.0 |
8 | |
9 | Unless required by applicable law or agreed to in writing, software |
10 | distributed under the License is distributed on an "AS IS" BASIS, |
11 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
12 | See the License for the specific language governing permissions and |
13 | limitations under the License. |
14 | ==============================================================================*/ |
15 | |
16 | #ifndef TENSORFLOW_CORE_GRAPPLER_DEVICES_H_ |
17 | #define TENSORFLOW_CORE_GRAPPLER_DEVICES_H_ |
18 | |
19 | #include <functional> |
20 | #include <utility> |
21 | |
22 | #include "tensorflow/core/lib/core/status.h" |
23 | #include "tensorflow/core/lib/core/threadpool.h" |
24 | #include "tensorflow/core/platform/types.h" |
25 | |
26 | namespace tensorflow { |
27 | namespace grappler { |
28 | |
29 | // Get the number of available GPUs whose number of multiprocessors is no less |
30 | // than 8 and whose CUDA compute capability is no less than |
31 | // min_cuda_compute_capability. |
32 | int GetNumAvailableGPUs( |
33 | const std::pair<int, int>& min_cuda_compute_capability = {0, 0}); |
34 | |
35 | // Maximum amount of gpu memory available per gpu. gpu_id must be in the range |
36 | // [0, num_available_gpu) |
37 | int64_t AvailableGPUMemory(int gpu_id); |
38 | |
39 | // Get the number of logical CPU cores (aka hyperthreads) available. |
40 | int GetNumAvailableLogicalCPUCores(); |
41 | |
42 | } // end namespace grappler |
43 | } // end namespace tensorflow |
44 | |
45 | #endif // TENSORFLOW_CORE_GRAPPLER_DEVICES_H_ |
46 | |