COMPMID-1068 Create validate method to CLDepthWiseConvolution
Change-Id: I3301b66a8a072c6ecd0d7f2dabef350017b55ac4
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/128677
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
diff --git a/tests/validation/CL/DepthwiseConvolutionLayer.cpp b/tests/validation/CL/DepthwiseConvolutionLayer.cpp
index 54b7925..093d342 100644
--- a/tests/validation/CL/DepthwiseConvolutionLayer.cpp
+++ b/tests/validation/CL/DepthwiseConvolutionLayer.cpp
@@ -53,6 +53,171 @@
TEST_SUITE(CL)
TEST_SUITE(DepthwiseConvolutionLayer)
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), // Mismatching data type input/weights
+ TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32, 0), // Mismatching input feature maps
+ TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), // Unsupported weights dimensions
+ TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8, 0), // Unsupported activation
+ TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), // Mismatching depth multiplier
+ TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), // Invalid stride
+ TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), // Invalid biases size
+ TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), // Invalid biases dimensions
+ TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), // Invalid output size
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Window shrink
+ TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8, 0),
+ }),
+ framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16, 0),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(5U, 5U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8, 0),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8, 0),
+ })),
+ framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(2U), 1, DataType::S32, 0),
+ TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(4U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(2U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(16U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(24U), 1, DataType::S32, 0),
+ })),
+ framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8, 0),
+ TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8, 0),
+ })),
+ framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(4, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ })),
+ framework::dataset::make("DepthMultiplier", { 1,
+ 1,
+ 1,
+ 1,
+ 3,
+ 1,
+ 1,
+ 1,
+ 1,
+ 1,
+ 2,
+ 3,
+ })),
+ framework::dataset::make("ActivationInfo", { ActivationLayerInfo(),
+ ActivationLayerInfo(),
+ ActivationLayerInfo(),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR),
+ ActivationLayerInfo(),
+ ActivationLayerInfo(),
+ ActivationLayerInfo(),
+ ActivationLayerInfo(),
+ ActivationLayerInfo(),
+ ActivationLayerInfo(),
+ ActivationLayerInfo(),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
+ })),
+ framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true, true })),
+ input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, expected)
+{
+ bool is_valid = bool(CLDepthwiseConvolutionLayer3x3::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &biases_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info, depth_multiplier, act_info));
+ ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
+}
+
+DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Mismatching data type input/weights
+ TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32, 0), // Mismatching input feature maps
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Mismatching depth multiplier
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid biases size
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid biases dimensions
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid output size
+ TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8, 0),
+ }),
+ framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16, 0),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8, 0),
+ })),
+ framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(4U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(2U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(16U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(24U), 1, DataType::S32, 0),
+ })),
+ framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32, 0),
+ TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8, 0),
+ })),
+ framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 0, 0),
+ PadStrideInfo(1, 1, 1, 0),
+ })),
+ framework::dataset::make("DepthMultiplier", { 1,
+ 1,
+ 3,
+ 1,
+ 1,
+ 1,
+ 2,
+ 3,
+ })),
+ framework::dataset::make("Expected", { false, false, false, false, false, false, true, true })),
+ input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)
+{
+ bool is_valid = bool(CLDepthwiseConvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &biases_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info, depth_multiplier));
+ ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
template <typename T>
using CLDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T>;