1 /* Copyright 2018 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_COMPILER_XLA_ERROR_SPEC_H_ 17 #define TENSORFLOW_COMPILER_XLA_ERROR_SPEC_H_ 18 19 namespace xla { 20 21 // Structure describing permissible absolute and relative error bounds. 22 struct ErrorSpec { 23 explicit ErrorSpec(float aabs, float arel = 0, bool relaxed_nans = false) absErrorSpec24 : abs(aabs), rel(arel), relaxed_nans(relaxed_nans) {} 25 26 float abs; // Absolute error bound. 27 float rel; // Relative error bound. 28 29 // If relaxed_nans is true then any result is valid if we are expecting NaNs. 30 // In effect, this allows the tested operation to produce incorrect results 31 // for inputs outside its mathematical domain. 32 bool relaxed_nans; 33 34 // If this is true, then we treat each +/-inf in the actual result as 35 // equivalent to our choice of either +/-inf or the min/max floating-point 36 // value. 37 // 38 // If the expected result is +/-inf, the actual result must still be +/-inf. 39 // 40 // In effect, this allows the tested operation to overflow, so long as it's 41 // overflowing on "large" values. 42 // 43 // (We could have a symmetric more_infs_ok flag if necessary; right now it 44 // appears not to be.) 45 bool fewer_infs_ok = false; 46 }; 47 48 } // namespace xla 49 50 #endif // TENSORFLOW_COMPILER_XLA_ERROR_SPEC_H_ 51