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Commit 7578e51f authored by Miao Wang's avatar Miao Wang
Browse files

Minor modification to allow relaxed precision test 

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

Merged-In: I41d9ea782262a894e7dbd00b782803c40b31c430
Change-Id: I41d9ea782262a894e7dbd00b782803c40b31c430
(cherry picked from commit 842e1a03)
parent e0d9b167

neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp

+6 −3
Original line number Diff line number Diff line
@@ -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