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Diffstat (limited to 'tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp')
-rw-r--r--tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp40
1 files changed, 39 insertions, 1 deletions
diff --git a/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp b/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp
index a79987dd4a..89c7964bea 100644
--- a/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp
+++ b/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2021 Arm Limited.
+ * Copyright (c) 2019-2022 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -134,6 +134,44 @@ TEST_CASE(ValidateNoPadding, framework::DatasetMode::ALL)
ARM_COMPUTE_EXPECT(dst.info()->padding().empty(), framework::LogLevel::ERRORS);
}
+TEST_SUITE(KERNEL_SELECTION)
+DATA_TEST_CASE(KernelSelection_mul_and_add, framework::DatasetMode::ALL,
+ combine(combine(framework::dataset::make("CpuExt", std::string("NEON")),
+ framework::dataset::make("DataType", { DataType::F32,
+ DataType::F16,
+ DataType::QASYMM8_SIGNED,
+ DataType::QASYMM8,
+ DataType::QSYMM8_PER_CHANNEL
+ })),
+ framework::dataset::make("DataType_per_channel", { DataType::QASYMM8,
+ DataType::QASYMM8_SIGNED
+ })),
+ cpu_ext, data_type, data_type_per_channel)
+{
+ using namespace cpu::kernels;
+
+ cpuinfo::CpuIsaInfo cpu_isa{};
+ cpu_isa.neon = (cpu_ext == "NEON");
+ cpu_isa.fp16 = (data_type == DataType::F16);
+
+ const auto *selected_impl = CpuDepthwiseConv2dNativeKernel::get_implementation(
+ DepthwiseConv2dNativeDataTypeISASelectorData{ data_type, data_type_per_channel,cpu_isa },
+ cpu::KernelSelectionType::Preferred );
+
+ ARM_COMPUTE_ERROR_ON_NULLPTR(selected_impl);
+
+ std::string per_channel_str = "_";
+ if (data_type == DataType::QSYMM8_PER_CHANNEL)
+ {
+ per_channel_str = "_" + cpu_impl_dt(data_type_per_channel) + "_" ;
+ }
+ std::string expected = lower_string(cpu_ext) + "_" + cpu_impl_dt(data_type) + per_channel_str + "deptwiseconv2dnative";
+ std::string actual = selected_impl->name;
+
+ ARM_COMPUTE_EXPECT_EQUAL(expected, actual, framework::LogLevel::ERRORS);
+}
+TEST_SUITE_END() // KERNEL_SELECTION
+
TEST_SUITE(Float)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CpuDepthwiseConvolutionNativeFixture<float>, framework::DatasetMode::ALL,