d058a78ac3
This allows us to accept actual results that overflow to inf when the correct answer is a large, finite value. PiperOrigin-RevId: 230810756
51 lines
1.8 KiB
C++
51 lines
1.8 KiB
C++
/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef TENSORFLOW_COMPILER_XLA_ERROR_SPEC_H_
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#define TENSORFLOW_COMPILER_XLA_ERROR_SPEC_H_
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namespace xla {
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// Structure describing permissible absolute and relative error bounds.
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struct ErrorSpec {
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explicit ErrorSpec(float aabs, float arel = 0, bool relaxed_nans = false)
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: abs(aabs), rel(arel), relaxed_nans(relaxed_nans) {}
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float abs; // Absolute error bound.
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float rel; // Relative error bound.
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// If relaxed_nans is true then any result is valid if we are expecting NaNs.
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// In effect, this allows the tested operation to produce incorrect results
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// for inputs outside its mathematical domain.
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bool relaxed_nans;
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// If this is true, then we treat each +/-inf in the actual result as
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// equivalent to our choice of either +/-inf or the min/max floating-point
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// value.
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//
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// If the expected result is +/-inf, the actual result must still be +/-inf.
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//
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// In effect, this allows the tested operation to overflow, so long as it's
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// overflowing on "large" values.
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//
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// (We could have a symmetric more_infs_ok flag if necessary; right now it
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// appears not to be.)
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bool fewer_infs_ok = false;
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};
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_ERROR_SPEC_H_
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