1 | /* Copyright 2015 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_UTIL_PORT_H_ |
17 | #define TENSORFLOW_CORE_UTIL_PORT_H_ |
18 | |
19 | namespace tensorflow { |
20 | |
21 | // Returns true if GOOGLE_CUDA is defined. |
22 | bool IsGoogleCudaEnabled(); |
23 | |
24 | // Returns true if TENSORFLOW_USE_ROCM is defined. (i.e. TF is built with ROCm) |
25 | bool IsBuiltWithROCm(); |
26 | |
27 | // Returns true if TENSORFLOW_USE_XLA is defined. (i.e. TF is built with XLA) |
28 | bool IsBuiltWithXLA(); |
29 | |
30 | // Returns true if TENSORFLOW_USE_NVCC is defined. (i.e. TF is built with nvcc) |
31 | bool IsBuiltWithNvcc(); |
32 | |
33 | // Returns true if either |
34 | // |
35 | // GOOGLE_CUDA is defined, and the given CUDA version supports |
36 | // half-precision matrix multiplications and convolution operations. |
37 | // |
38 | // OR |
39 | // |
40 | // TENSORFLOW_USE_ROCM is defined |
41 | // |
42 | bool GpuSupportsHalfMatMulAndConv(); |
43 | |
44 | // Returns true if INTEL_MKL is defined |
45 | bool IsMklEnabled(); |
46 | |
47 | } // end namespace tensorflow |
48 | |
49 | #endif // TENSORFLOW_CORE_UTIL_PORT_H_ |
50 | |