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authorDana Zlotnik <dana.zlotnik@arm.com>2022-01-17 09:54:26 +0200
committerDana Zlotnik <dana.zlotnik@arm.com>2022-02-14 12:49:53 +0000
commit6a2df886f32dcf7af4258163b0652f0fab07ecc5 (patch)
tree4ad16670d54d29de96df7cc5b582d52a6012255a /tests
parent69854ba71f91f86c2a1c8a2301e91dcd93030561 (diff)
downloadComputeLibrary-6a2df886f32dcf7af4258163b0652f0fab07ecc5.tar.gz
Add kernel selection UT for submitted kernels
* Softmax kernel * Elementwise unary kernel * Elementwise binary ** This change require some refactor in the kernel cpp and h files Resolves COMPMID-5043 Change-Id: I58979b023ec31d759690847b3f85fc4baefbbf98 Signed-off-by: Dana Zlotnik <dana.zlotnik@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7033 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Diffstat (limited to 'tests')
-rw-r--r--tests/validation/NEON/ElementwiseKernelSelection.cpp158
-rw-r--r--tests/validation/NEON/SoftmaxLayer.cpp73
2 files changed, 228 insertions, 3 deletions
diff --git a/tests/validation/NEON/ElementwiseKernelSelection.cpp b/tests/validation/NEON/ElementwiseKernelSelection.cpp
new file mode 100644
index 0000000000..78adc747fd
--- /dev/null
+++ b/tests/validation/NEON/ElementwiseKernelSelection.cpp
@@ -0,0 +1,158 @@
+/*
+ * Copyright (c) 2022 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/core/Types.h"
+#include "src/common/cpuinfo/CpuIsaInfo.h"
+#include "src/cpu/kernels/CpuElementwiseKernel.h"
+#include "src/cpu/kernels/CpuElementwiseUnaryKernel.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+TEST_SUITE(NEON)
+TEST_SUITE(KernelSelection)
+
+DATA_TEST_CASE(KernelSelection_elementwise_unary, framework::DatasetMode::ALL, concat(
+ combine(framework::dataset::make("CpuExt", std::string("NEON")),
+ framework::dataset::make("DataType", { DataType::F32,
+ DataType::F16,
+ DataType::S32
+ })),
+ combine(framework::dataset::make("CpuExt", std::string("SVE")),
+ framework::dataset::make("DataType", { DataType::F32,
+ DataType::F16,
+ DataType::S32
+ }))),
+ cpu_ext, data_type)
+{
+ using namespace cpu::kernels;
+
+ cpuinfo::CpuIsaInfo cpu_isa{};
+ cpu_isa.neon = (cpu_ext == "NEON");
+ cpu_isa.sve = (cpu_ext == "SVE");
+ cpu_isa.fp16 = (data_type == DataType::F16);
+
+ const auto *selected_impl = CpuElementwiseUnaryKernel::get_implementation(DataTypeISASelectorData{ data_type, cpu_isa }, cpu::KernelSelectionType::Preferred);
+
+ ARM_COMPUTE_ERROR_ON_NULLPTR(selected_impl);
+
+ std::string expected = lower_string(cpu_ext) + "_" + cpu_impl_dt(data_type) + "_elementwise_unary";
+ std::string actual = selected_impl->name;
+
+ ARM_COMPUTE_EXPECT_EQUAL(expected, actual, framework::LogLevel::ERRORS);
+}
+
+DATA_TEST_CASE(KernelSelection_elementwise_arithmetic, framework::DatasetMode::ALL, concat(concat(
+ combine(framework::dataset::make("CpuExt", std::string("NEON")),
+ framework::dataset::make("DataType", { DataType::F32,
+ DataType::F16,
+ DataType::S32,
+ DataType::S16,
+ DataType::QASYMM8,
+ DataType::QASYMM8_SIGNED
+ })),
+ combine(framework::dataset::make("CpuExt", std::string("SVE")),
+ framework::dataset::make("DataType", { DataType::F32,
+ DataType::F16,
+ DataType::S32,
+ DataType::S16
+ }))),
+ combine(framework::dataset::make("CpuExt", std::string("SVE2")),
+ framework::dataset::make("DataType", { DataType::QASYMM8,
+ DataType::QASYMM8_SIGNED
+ }))),
+ cpu_ext, data_type)
+{
+ using namespace cpu::kernels;
+
+ cpuinfo::CpuIsaInfo cpu_isa{};
+ cpu_isa.neon = (cpu_ext == "NEON");
+ cpu_isa.sve = (cpu_ext == "SVE");
+ cpu_isa.sve2 = (cpu_ext == "SVE2");
+ cpu_isa.fp16 = (data_type == DataType::F16);
+
+ const auto *selected_impl = CpuArithmeticKernel::get_implementation(
+ ElementwiseDataTypeISASelectorData{ data_type, cpu_isa, static_cast<int>(ArithmeticOperation::ADD) },
+ cpu::KernelSelectionType::Preferred);
+
+ ARM_COMPUTE_ERROR_ON_NULLPTR(selected_impl);
+
+ std::string expected = lower_string(cpu_ext) + "_" + cpu_impl_dt(data_type) + "_arithmetic";
+ std::string actual = selected_impl->name;
+
+ ARM_COMPUTE_EXPECT_EQUAL(expected, actual, framework::LogLevel::ERRORS);
+}
+
+DATA_TEST_CASE(KernelSelection_elementwise_comparison, framework::DatasetMode::ALL, concat(concat(
+ combine(framework::dataset::make("CpuExt", std::string("NEON")),
+ framework::dataset::make("DataType", { DataType::F32,
+ DataType::F16,
+ DataType::S32,
+ DataType::S16,
+ DataType::U8,
+ DataType::QASYMM8,
+ DataType::QASYMM8_SIGNED
+ })),
+ combine(framework::dataset::make("CpuExt", std::string("SVE")),
+ framework::dataset::make("DataType", { DataType::F32,
+ DataType::F16,
+ DataType::S32,
+ DataType::S16,
+ DataType::U8
+ }))),
+ combine(framework::dataset::make("CpuExt", std::string("SVE2")),
+ framework::dataset::make("DataType", { DataType::QASYMM8,
+ DataType::QASYMM8_SIGNED
+ }))),
+ cpu_ext, data_type)
+{
+ using namespace cpu::kernels;
+
+ cpuinfo::CpuIsaInfo cpu_isa{};
+ cpu_isa.neon = (cpu_ext == "NEON");
+ cpu_isa.sve = (cpu_ext == "SVE");
+ cpu_isa.sve2 = (cpu_ext == "SVE2");
+ cpu_isa.fp16 = (data_type == DataType::F16);
+
+ const auto *selected_impl = CpuComparisonKernel::get_implementation(
+ ElementwiseDataTypeISASelectorData{ data_type, cpu_isa, static_cast<int>(ComparisonOperation::Equal) },
+ cpu::KernelSelectionType::Preferred);
+
+ ARM_COMPUTE_ERROR_ON_NULLPTR(selected_impl);
+
+ std::string expected = lower_string(cpu_ext) + "_" + cpu_impl_dt(data_type) + "_comparison";
+ std::string actual = selected_impl->name;
+
+ ARM_COMPUTE_EXPECT_EQUAL(expected, actual, framework::LogLevel::ERRORS);
+}
+
+TEST_SUITE_END()
+TEST_SUITE_END() // Neon
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/NEON/SoftmaxLayer.cpp b/tests/validation/NEON/SoftmaxLayer.cpp
index 2a9e30604e..9084353743 100644
--- a/tests/validation/NEON/SoftmaxLayer.cpp
+++ b/tests/validation/NEON/SoftmaxLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2020 Arm Limited.
+ * Copyright (c) 2017-2020, 2022 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -25,6 +25,8 @@
#include "arm_compute/runtime/NEON/functions/NESoftmaxLayer.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
+#include "src/common/cpuinfo/CpuIsaInfo.h"
+#include "src/cpu/kernels/CpuSoftmaxKernel.h"
#include "tests/NEON/Accessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/ShapeDatasets.h"
@@ -33,7 +35,6 @@
#include "tests/framework/datasets/Datasets.h"
#include "tests/validation/Validation.h"
#include "tests/validation/fixtures/SoftmaxLayerFixture.h"
-
namespace arm_compute
{
namespace test
@@ -62,7 +63,6 @@ const auto CNNDataTypes = framework::dataset::make("DataType",
TEST_SUITE(NEON)
TEST_SUITE(SoftmaxLayer)
-
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
@@ -121,6 +121,73 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
template <typename T>
using NESoftmaxLayerFixture = SoftmaxValidationFixture<Tensor, Accessor, NESoftmaxLayer, T>;
+DATA_TEST_CASE(KernelSelection_max_logits, framework::DatasetMode::ALL, concat(
+ combine(framework::dataset::make("CpuExt", std::string("NEON")),
+ framework::dataset::make("DataType", { DataType::F32,
+ DataType::F16,
+ DataType::QASYMM8,
+ DataType::QASYMM8_SIGNED
+ })),
+ combine(framework::dataset::make("CpuExt", std::string("SVE")),
+ framework::dataset::make("DataType", { DataType::F32,
+ DataType::F16,
+ DataType::QASYMM8,
+ DataType::QASYMM8_SIGNED
+ }))),
+ cpu_ext, data_type)
+{
+ using namespace cpu::kernels;
+
+ cpuinfo::CpuIsaInfo cpu_isa{};
+ cpu_isa.neon = (cpu_ext == "NEON");
+ cpu_isa.sve = (cpu_ext == "SVE");
+ cpu_isa.fp16 = (data_type == DataType::F16);
+
+ const auto *selected_impl = CpuLogits1DMaxKernel::get_implementation(DataTypeISASelectorData{ data_type, cpu_isa }, cpu::KernelSelectionType::Preferred);
+
+ ARM_COMPUTE_ERROR_ON_NULLPTR(selected_impl);
+
+ std::string expected = lower_string(cpu_ext) + "_" + cpu_impl_dt(data_type) + "_logits_1d_max";
+ std::string actual = selected_impl->name;
+
+ ARM_COMPUTE_EXPECT_EQUAL(expected, actual, framework::LogLevel::ERRORS);
+}
+
+DATA_TEST_CASE(KernelSelection_logits, framework::DatasetMode::ALL, concat(concat(
+ combine(framework::dataset::make("CpuExt", std::string("NEON")),
+ framework::dataset::make("DataType", { DataType::F32,
+ DataType::F16,
+ DataType::QASYMM8,
+ DataType::QASYMM8_SIGNED
+ })),
+ combine(framework::dataset::make("CpuExt", std::string("SVE")),
+ framework::dataset::make("DataType", { DataType::F32,
+ DataType::F16
+ }))),
+ combine(framework::dataset::make("CpuExt", std::string("SVE2")),
+ framework::dataset::make("DataType", { DataType::QASYMM8,
+ DataType::QASYMM8_SIGNED
+ }))),
+ cpu_ext, data_type)
+{
+ using namespace cpu::kernels;
+
+ cpuinfo::CpuIsaInfo cpu_isa{};
+ cpu_isa.neon = (cpu_ext == "NEON");
+ cpu_isa.sve = (cpu_ext == "SVE");
+ cpu_isa.sve2 = (cpu_ext == "SVE2");
+ cpu_isa.fp16 = (data_type == DataType::F16);
+
+ const auto *selected_impl = CpuLogits1DSoftmaxKernel<false>::get_implementation(DataTypeISASelectorData{ data_type, cpu_isa }, cpu::KernelSelectionType::Preferred);
+
+ ARM_COMPUTE_ERROR_ON_NULLPTR(selected_impl);
+
+ std::string expected = lower_string(cpu_ext) + "_" + cpu_impl_dt(data_type) + "_softmax_logits_1d";
+ std::string actual = selected_impl->name;
+
+ ARM_COMPUTE_EXPECT_EQUAL(expected, actual, framework::LogLevel::ERRORS);
+}
+
TEST_SUITE(Float)
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)