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