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-rw-r--r--tests/validation/NEON/ElementwiseRsqrtLayer.cpp61
1 files changed, 58 insertions, 3 deletions
diff --git a/tests/validation/NEON/ElementwiseRsqrtLayer.cpp b/tests/validation/NEON/ElementwiseRsqrtLayer.cpp
index 58efa28b31..80788c893f 100644
--- a/tests/validation/NEON/ElementwiseRsqrtLayer.cpp
+++ b/tests/validation/NEON/ElementwiseRsqrtLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 Arm Limited.
+ * Copyright (c) 2018-2021, 2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -32,7 +32,7 @@
#include "tests/framework/Macros.h"
#include "tests/framework/datasets/Datasets.h"
#include "tests/validation/Validation.h"
-#include "tests/validation/fixtures/ElementWiseUnaryFixture.h"
+#include "tests/validation/fixtures/ElementwiseUnaryFixture.h"
namespace arm_compute
{
@@ -46,13 +46,42 @@ RelativeTolerance<float> tolerance_fp32(0.000001f);
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
RelativeTolerance<float> tolerance_fp16(0.01f);
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+#if defined(__aarch64__)
+constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(0);
+constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(0);
+#else // #if !defined(__aarch64__)
+constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); // There is difference of 1, because quantizing in reference uses round policy "TO_NEAREST_UP", where the armv7a neon kernel uses "TO_ZERO"
+constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(1);
+#endif // #if !defined(__aarch64__)
} // namespace
TEST_SUITE(NEON)
TEST_SUITE(RsqrtLayer)
+// Test test cases will execute the function with dynamic-stated shapes
+// Since other elementwise unary operations share the same kernel, this tests are added only here.
+// Also, only FP32 is tested since data type doesn't/shouldn't matter with dynamic shapes.
+TEST_SUITE(DynamicShape)
+TEST_SUITE(FP32)
+
+template <typename T>
+using CpuRsqrtDynamicShapeFixture = RsqrtDynamicShapeValidationFixture<Tensor, Accessor, NERsqrtLayer, T>;
+
+FIXTURE_DATA_TEST_CASE(RunSmall, CpuRsqrtDynamicShapeFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType",
+ DataType::F32)))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_fp32);
+}
+
+TEST_SUITE_END() // FP32
+TEST_SUITE_END() // DynamicShape
+
template <typename T>
using NERsqrtLayerFixture = RsqrtValidationFixture<Tensor, Accessor, NERsqrtLayer, T>;
+template <typename T>
+using NERsqrtLayerQuantizedFixture = RsqrtQuantizedValidationFixture<Tensor, Accessor, NERsqrtLayer, T>;
+
TEST_SUITE(Float)
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
@@ -83,8 +112,34 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NERsqrtLayerFixture<float>, framework::DatasetM
TEST_SUITE_END() // FP32
TEST_SUITE_END() // Float
+TEST_SUITE(Quantized)
+TEST_SUITE(QASYMM8)
+FIXTURE_DATA_TEST_CASE(RunSmall, NERsqrtLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(
+ datasets::SmallShapes(),
+ framework::dataset::make("DataType", DataType::QASYMM8)),
+ framework::dataset::make("InputQInfo", { QuantizationInfo(20, 0) })),
+ framework::dataset::make("OutputQInfo", { QuantizationInfo(0.5, 10) })))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_qasymm8);
+}
+TEST_SUITE_END() // QASYMM8
+
+TEST_SUITE(QASYMM8_SIGNED)
+FIXTURE_DATA_TEST_CASE(RunSmall, NERsqrtLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(
+ datasets::SmallShapes(),
+ framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
+ framework::dataset::make("InputQInfo", { QuantizationInfo(25, -128) })),
+ framework::dataset::make("OutputQInfo", { QuantizationInfo(0.1, -7) })))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
+}
+TEST_SUITE_END() // QASYMM8_SIGNED
+TEST_SUITE_END() // Quantized
+
TEST_SUITE_END() // RsqrtLayer
-TEST_SUITE_END() // NEON
+TEST_SUITE_END() // Neon
} // namespace validation
} // namespace test
} // namespace arm_compute