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-rw-r--r--tests/validation/CL/DepthwiseConvolutionLayer.cpp130
1 files changed, 1 insertions, 129 deletions
diff --git a/tests/validation/CL/DepthwiseConvolutionLayer.cpp b/tests/validation/CL/DepthwiseConvolutionLayer.cpp
index 2e8febf517..07b1235cea 100644
--- a/tests/validation/CL/DepthwiseConvolutionLayer.cpp
+++ b/tests/validation/CL/DepthwiseConvolutionLayer.cpp
@@ -64,135 +64,7 @@ TEST_SUITE(DepthwiseConvolutionLayer)
// *INDENT-OFF*
// clang-format off
-DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip(
- framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Mismatching data type input/weights
- TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), // Mismatching input feature maps
- TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Unsupported weights dimensions
- TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), // Unsupported activation
- TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Mismatching depth multiplier
- TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Invalid stride
- TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Invalid biases size
- TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Invalid biases dimensions
- TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Invalid output size
- TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Window shrink
- TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), // patch size bigger than input width
- TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), // dilation < 1
- TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32),
- TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8),
- }),
- framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16),
- TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(5U, 5U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8),
- TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32),
- TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8),
- })),
- framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32),
- TensorInfo(TensorShape(2U), 1, DataType::F32),
- TensorInfo(TensorShape(2U), 1, DataType::F32),
- TensorInfo(TensorShape(2U), 1, DataType::S32),
- TensorInfo(TensorShape(2U), 1, DataType::F32),
- TensorInfo(TensorShape(2U), 1, DataType::F32),
- TensorInfo(TensorShape(4U), 1, DataType::F32),
- TensorInfo(TensorShape(2U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(2U), 1, DataType::F32),
- TensorInfo(TensorShape(2U), 1, DataType::F32),
- TensorInfo(TensorShape(16U), 1, DataType::F32),
- TensorInfo(TensorShape(16U), 1, DataType::F32),
- TensorInfo(TensorShape(16U), 1, DataType::F32),
- TensorInfo(TensorShape(24U), 1, DataType::S32),
- })),
- framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8),
- TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32),
- TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32),
- TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32),
- TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8),
- })),
- 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),
- 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,
- 2,
- 2,
- 3,
- })),
- framework::dataset::make("ActivationInfo", { ActivationLayerInfo(),
- ActivationLayerInfo(),
- ActivationLayerInfo(),
- ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR),
- ActivationLayerInfo(),
- ActivationLayerInfo(),
- ActivationLayerInfo(),
- ActivationLayerInfo(),
- ActivationLayerInfo(),
- ActivationLayerInfo(),
- ActivationLayerInfo(),
- ActivationLayerInfo(),
- ActivationLayerInfo(),
- ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
- })),
- framework::dataset::make("Dilation", { Size2D(1U, 1U),
- Size2D(1U, 1U),
- Size2D(1U, 1U),
- Size2D(1U, 1U),
- Size2D(1U, 1U),
- Size2D(1U, 1U),
- Size2D(1U, 1U),
- Size2D(1U, 1U),
- Size2D(1U, 1U),
- Size2D(1U, 1U),
- Size2D(20U, 1U),
- Size2D(0U, 1U),
- Size2D(1U, 1U),
- Size2D(1U, 1U),
- })),
- framework::dataset::make("Expected", { false, false, 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, dilation, 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,GPUTarget::MIDGARD, dilation));
- ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
-}
-
-DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/weights
TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), // Mismatching input feature maps
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching depth multiplier
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-02 00:13:51 +0000