diff options
author | Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com> | 2018-07-04 09:34:00 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:10 +0000 |
commit | 7485d5a62685cb745ab50e970adb722cb71557ac (patch) | |
tree | ba01b99ca466c93edc9a3f8c1e34394ff84be060 /tests/validation/CL/DepthwiseConvolutionLayer.cpp | |
parent | 014333d73883c3872e458cedda5ccef586a7ccd4 (diff) | |
download | ComputeLibrary-7485d5a62685cb745ab50e970adb722cb71557ac.tar.gz |
COMPMID-970 : Remove QS8 / QS16 support
Removed fixed point related code.
Change-Id: I487acf138dace3b0450e0d72ca7071eaec254566
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/137678
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/validation/CL/DepthwiseConvolutionLayer.cpp')
-rw-r--r-- | tests/validation/CL/DepthwiseConvolutionLayer.cpp | 160 |
1 files changed, 80 insertions, 80 deletions
diff --git a/tests/validation/CL/DepthwiseConvolutionLayer.cpp b/tests/validation/CL/DepthwiseConvolutionLayer.cpp index 5b18f5953b..fad8140848 100644 --- a/tests/validation/CL/DepthwiseConvolutionLayer.cpp +++ b/tests/validation/CL/DepthwiseConvolutionLayer.cpp @@ -56,57 +56,57 @@ 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("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), + TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8), }), - 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("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, 24U), 1, DataType::QASYMM8), })), - 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("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(24U), 1, DataType::S32), })), - 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("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(48U, 30U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), @@ -155,41 +155,41 @@ DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip } 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("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 + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases size + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases dimensions + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid output size + TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), }), - 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("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), + 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, 24U), 1, DataType::QASYMM8), })), - 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("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), + 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(16U), 1, DataType::F32), + TensorInfo(TensorShape(24U), 1, DataType::S32), })), - 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("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), |