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Minor modification to allow relaxed precision test

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Bug: 63911257
Test: mm
Test: VTS test pass on walleye

Merged-In: I41d9ea782262a894e7dbd00b782803c40b31c430
Change-Id: I41d9ea782262a894e7dbd00b782803c40b31c430
(cherry picked from commit 842e1a0331)
This commit is contained in:
Miao Wang
2018-02-22 11:48:59 -08:00
parent e0d9b167a6
commit 7578e51fda
1 changed files with 6 additions and 3 deletions
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9
neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
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@@ -66,7 +66,8 @@ void copy_back(MixedTyped* dst, const std::vector<RequestArgument>& ra, char* sr
// Top level driver for models and examples generated by test_generator.py
// Test driver for those generated from ml/nn/runtime/test/spec
void EvaluatePreparedModel(sp<IPreparedModel>& preparedModel, std::function<bool(int)> is_ignored,
const std::vector<MixedTypedExampleType>& examples) {
const std::vector<MixedTypedExampleType>& examples,
float fpRange = 1e-5f) {
const uint32_t INPUT = 0;
const uint32_t OUTPUT = 1;
@@ -174,7 +175,7 @@ void EvaluatePreparedModel(sp<IPreparedModel>& preparedModel, std::function<bool
MixedTyped filtered_test = filter(test, is_ignored);
// We want "close-enough" results for float
compare(filtered_golden, filtered_test);
compare(filtered_golden, filtered_test, fpRange);
}
}
@@ -274,7 +275,9 @@ void Execute(sp<V1_1::IDevice>& device, std::function<V1_1::Model(void)> create_
}
ASSERT_NE(nullptr, preparedModel.get());
EvaluatePreparedModel(preparedModel, is_ignored, examples);
// If in relaxed mode, set the error range to be 5ULP of FP16.
float fpRange = !model.relaxComputationFloat32toFloat16 ? 1e-5f : 5.0f * 0.0009765625f;
EvaluatePreparedModel(preparedModel, is_ignored, examples, fpRange);
}
} // namespace generated_tests