diff options
Diffstat (limited to 'tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp')
| -rw-r--r-- | tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp | 62 |
1 files changed, 51 insertions, 11 deletions
diff --git a/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp b/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp index d379ce728e..221fc5d249 100644 --- a/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp +++ b/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019-2020 Arm Limited. + * Copyright (c) 2019-2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -21,7 +21,8 @@ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ -#include "src/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h" +#include "arm_compute/core/utils/StringUtils.h" +#include "src/cpu/kernels/CpuDepthwiseConv2dNativeKernel.h" #include "tests/NEON/Accessor.h" #include "tests/NEON/Helper.h" #include "tests/framework/Macros.h" @@ -37,12 +38,12 @@ namespace validation { using namespace arm_compute::misc::shape_calculator; -// Create function for NEDepthwiseConvolutionLayerKernel -using NEDepthwiseConvolutionLayerNative = NESynthetizeFunctionWithZeroConstantKernelBorder<NEDepthwiseConvolutionLayerNativeKernel>; +// Create function for CpuDepthwiseConvolutionKernel +using CpuDepthwiseConvolutionNative = NESynthetizeFunctionWithZeroConstantKernelBorder<cpu::kernels::CpuDepthwiseConv2dNativeKernel>; // Fixture for NEDepthwiseConvolutionLayerKernel template <typename T> -using NEDepthwiseConvolutionLayerNativeFixture = DepthwiseConvolutionLayerNativeValidationFixture<Tensor, Accessor, NEDepthwiseConvolutionLayerNative, T>; +using CpuDepthwiseConvolutionNativeFixture = DepthwiseConvolutionLayerNativeValidationFixture<Tensor, Accessor, CpuDepthwiseConvolutionNative, T>; namespace { @@ -124,8 +125,9 @@ TEST_CASE(ValidateNoPadding, framework::DatasetMode::ALL) auto biases = create_tensor<Tensor>(bias_shape, data_type, 1, QuantizationInfo(), data_layout); auto dst = create_tensor<Tensor>(TensorShape(), data_type, 1, QuantizationInfo(), data_layout); - NEDepthwiseConvolutionLayerNativeKernel dwc; - dwc.configure(&src, &weights, &biases, &dst, pad_stride_info); + cpu::kernels::CpuDepthwiseConv2dNativeKernel dwc; + const ConvolutionInfo info{pad_stride_info, 1, ActivationLayerInfo(), Size2D(1, 1)}; + dwc.configure(src.info(), weights.info(), biases.info(), dst.info(), info); ARM_COMPUTE_EXPECT(src.info()->padding().empty(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(weights.info()->padding().empty(), framework::LogLevel::ERRORS); @@ -133,9 +135,47 @@ 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(RunSmall, NEDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::ALL, +FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CpuDepthwiseConvolutionNativeFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(width_values_precommit, height_values_precommit), channel_values_precommit), @@ -152,7 +192,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerNativeFixture<float> validate(Accessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); } -FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::NIGHTLY, +FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CpuDepthwiseConvolutionNativeFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(width_values_nightly, height_values_nightly), channel_values_nightly), @@ -172,7 +212,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerNativeFixture<float> TEST_SUITE_END() // FP32 TEST_SUITE_END() // Float TEST_SUITE_END() // DepthwiseConvolutionLayerNative -TEST_SUITE_END() // NEON +TEST_SUITE_END() // Neon } // namespace validation } // namespace test -} // namespace arm_compute
\ No newline at end of file +} // namespace arm_compute |