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Diffstat (limited to 'tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp')
-rw-r--r-- | tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp | 31 |
1 files changed, 31 insertions, 0 deletions
diff --git a/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp b/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp index be0eee32e0..47551355bb 100644 --- a/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp +++ b/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp @@ -102,6 +102,37 @@ const auto data_layout_values = framework::dataset::make("data_layout", { DataLa TEST_SUITE(NEON) TEST_SUITE(DepthwiseConvolutionLayerNative) + +TEST_CASE(ValidateNoPadding, framework::DatasetMode::ALL) +{ + // this test case will ensure that the kernel is not adding implicit padding + constexpr uint32_t vector_size = 8; // Asummed vector size of the current native kernel + constexpr auto depth = vector_size * 2 + 1; // mis-aligned depth to force padding if exists. + constexpr auto data_layout = DataLayout::NHWC; + constexpr auto data_type = DataType::F32; + + const auto input_size = Size2D{ 100, 100 }; // random plane size of the input + const auto kernel_size = Size2D{ 4, 4 }; // random plane size of the kernel + const auto pad_stride_info = PadStrideInfo(3, 3); // random convolution information to + + TensorShape src_shape{ depth, input_size.x(), input_size.y() }; + TensorShape weights_shape{ depth, kernel_size.x(), kernel_size.y() }; + TensorShape bias_shape{ depth }; + + auto src = create_tensor<Tensor>(src_shape, data_type, 1, QuantizationInfo(), data_layout); + auto weights = create_tensor<Tensor>(weights_shape, data_type, 1, QuantizationInfo(), data_layout); + 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); + + ARM_COMPUTE_EXPECT(src.info()->padding().empty(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(weights.info()->padding().empty(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(biases.info()->padding().empty(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->padding().empty(), framework::LogLevel::ERRORS); +} + TEST_SUITE(Float) TEST_SUITE(FP32) FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::ALL, |