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authorSang-Hoon Park <sang-hoon.park@arm.com>2019-11-13 17:08:12 +0000
committerGeorgios Pinitas <georgios.pinitas@arm.com>2019-12-20 11:47:29 +0000
commit0779fecbf897fe85c5e13da52b129e439c4cc75d (patch)
treec9d9edd74eb423099d9c8d31e1d655a2b6e59173 /tests/validation/CL/SoftmaxLayer.cpp
parent64e738f32187e8a4ea2624d15b48ed79b34cc824 (diff)
downloadComputeLibrary-0779fecbf897fe85c5e13da52b129e439c4cc75d.tar.gz
COMPMID-2763 [CL] add support for QASYMM8_SIGNED to SoftmaxLayer
Change-Id: I4556bde3aa51eb874a4e674dbbd575fa4491c088 Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com> Reviewed-on: https://review.mlplatform.org/c/2375 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'tests/validation/CL/SoftmaxLayer.cpp')
-rw-r--r--tests/validation/CL/SoftmaxLayer.cpp36
1 files changed, 31 insertions, 5 deletions
diff --git a/tests/validation/CL/SoftmaxLayer.cpp b/tests/validation/CL/SoftmaxLayer.cpp
index ae7adec9f2..5ee929f6b9 100644
--- a/tests/validation/CL/SoftmaxLayer.cpp
+++ b/tests/validation/CL/SoftmaxLayer.cpp
@@ -49,6 +49,15 @@ RelativeTolerance<float> tolerance_f32(0.001f);
/** Tolerance for quantized operations */
constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1);
+constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(1);
+
+/*
+ The following tolerance number is used as a workaround for the mismatches
+ caused by float computation in reference (and NEON) kernel
+ and integer computations in OpenCL kernel.
+ COMPMID-2958 is created to investigate this.
+*/
+constexpr float tolerance_number_qasymm8_signed = 0.05f;
/** CNN data types */
const auto CNNDataTypes = framework::dataset::make("DataType",
@@ -110,6 +119,8 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
TensorInfo(TensorShape(32U, 13U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8,
QuantizationInfo(1.f/256, 12)),
+ TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8_SIGNED,
+ QuantizationInfo(1.f/256, 12))
}),
framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16),
TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),
@@ -120,8 +131,10 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
TensorInfo(TensorShape(32U, 13U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8,
QuantizationInfo(1.f/256, 0)),
+ TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8_SIGNED,
+ QuantizationInfo(1.f/256, -128)),
})),
- framework::dataset::make("Expected", { false, false, false, false, false, true, true })),
+ framework::dataset::make("Expected", { false, false, false, false, false, true, true, true })),
input_info, output_info, expected)
{
ARM_COMPUTE_EXPECT(bool(CLSoftmaxLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
@@ -221,11 +234,24 @@ FIXTURE_DATA_TEST_CASE(Run4D, CLSoftmaxLayerQuantizedFixture<uint8_t>, framework
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
-TEST_SUITE_END()
-TEST_SUITE_END()
+TEST_SUITE_END() // QASYMM8
-TEST_SUITE_END()
-TEST_SUITE_END()
+TEST_SUITE(QASYMM8_SIGNED)
+
+FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(),
+ framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
+ combine(framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -10) }),
+ framework::dataset::make("Beta", { 1.0f, 2.f }))),
+ framework::dataset::make("Axis", { 1, 2 })))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance_qasymm8_signed, tolerance_number_qasymm8_signed);
+}
+
+TEST_SUITE_END() // QASYMM8_SIGNED
+TEST_SUITE_END() // Quantized
+TEST_SUITE_END() // SoftmaxLayer
+TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute