commit c1961b51df2e15a01a5950139e81bbd47fbfa627
author Michele Di Giorgio <michele.digiorgio@arm.com> Thu Aug 16 11:47:45 2018 +0100
committer Anthony Barbier <anthony.barbier@arm.com> Fri Nov 02 16:54:54 2018 +0000
tree 9e96345605c4fa79d3bc4865b6c68f3e13335bd5
parent 25f45a4a0158a709d28a5207a867a9b5ce390621

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>

tests/validation/CL/DeconvolutionLayer.cpp

diff --git a/tests/validation/CL/DeconvolutionLayer.cpp b/tests/validation/CL/DeconvolutionLayer.cpp
index 082b28d..2aa7cfe 100644
--- a/tests/validation/CL/DeconvolutionLayer.cpp
+++ b/tests/validation/CL/DeconvolutionLayer.cpp
@@ -45,7 +45,7 @@
 {
 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(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(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(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);