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| author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2018-08-16 11:47:45 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
| commit | c1961b51df2e15a01a5950139e81bbd47fbfa627 (patch) | |
| tree | 9e96345605c4fa79d3bc4865b6c68f3e13335bd5 /tests/validation/CL | |
| parent | 25f45a4a0158a709d28a5207a867a9b5ce390621 (diff) | |
| download | ComputeLibrary-c1961b51df2e15a01a5950139e81bbd47fbfa627.tar.gz | |
COMPMID-1509: (Nightly) CLDeconvolution fails for QASYMM8
Using same quantization info and input values range as for ConvolutionLayer.
This needs further investigation to understand why there are mismatches when
using the entire range.
Change-Id: I8c20a341b29a1ac03c811d014911e7efc484c3a6
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/144340
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'tests/validation/CL')
| -rw-r--r-- | tests/validation/CL/DeconvolutionLayer.cpp | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tests/validation/CL/DeconvolutionLayer.cpp b/tests/validation/CL/DeconvolutionLayer.cpp index 082b28dd95..2aa7cfe7c1 100644 --- a/tests/validation/CL/DeconvolutionLayer.cpp +++ b/tests/validation/CL/DeconvolutionLayer.cpp @@ -45,7 +45,7 @@ namespace { constexpr AbsoluteTolerance<float> tolerance_fp32(0.001f); /**< Tolerance for floating point tests */ RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.2)); /**< Tolerance value for comparing reference's for DataType::F16 */ -constexpr AbsoluteTolerance<float> tolerance_qasymm8(2.0); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */ +constexpr AbsoluteTolerance<float> tolerance_qasymm8(1.0); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */ constexpr float tolerance_num = 0.07f; /**< Tolerance number */ const auto data4x4 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * framework::dataset::make("PadX", 0, 3) @@ -237,7 +237,7 @@ TEST_SUITE(QASYMM8) TEST_SUITE(W4x4) FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture4x4<uint8_t>, framework::DatasetMode::ALL, combine(combine(data4x4, framework::dataset::make("DataType", DataType::QASYMM8)), - framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 127)))) + framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 0)))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); @@ -246,7 +246,7 @@ TEST_SUITE_END() TEST_SUITE(W3x3) FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::ALL, combine(combine(data3x3, framework::dataset::make("DataType", DataType::QASYMM8)), - framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 127)))) + framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 0)))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); @@ -255,7 +255,7 @@ TEST_SUITE_END() TEST_SUITE(W1x1) FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture1x1<uint8_t>, framework::DatasetMode::ALL, combine(combine(data1x1, framework::dataset::make("DataType", DataType::QASYMM8)), - framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 127)))) + framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 0)))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); |