| /* Copyright 2015 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. |
| ==============================================================================*/ |
| |
| #ifndef TENSORFLOW_CORE_PLATFORM_WINDOWS_INTRINSICS_PORT_H_ |
| #define TENSORFLOW_CORE_PLATFORM_WINDOWS_INTRINSICS_PORT_H_ |
| |
| #ifdef _MSC_VER |
| // the following avx intrinsics are not defined on windows |
| // in immintrin.h so we define them here. |
| // |
| #include "tensorflow/core/platform/types.h" |
| |
| #define _mm_load_pd1 _mm_load1_pd |
| |
| // only define these intrinsics if immintrin.h doesn't have them (VS2015 and |
| // earlier) |
| #if _MSC_VER < 1910 |
| static inline int _mm256_extract_epi32(__m256i a, const int i) { |
| return a.m256i_i32[i & 7]; |
| } |
| |
| static inline __m256i _mm256_insert_epi32(__m256i a, int b, const int i) { |
| __m256i c = a; |
| c.m256i_i32[i & 7] = b; |
| return c; |
| } |
| #endif |
| #endif |
| #endif |