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| author | Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com> | 2018-07-04 09:34:00 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:10 +0000 |
| commit | 7485d5a62685cb745ab50e970adb722cb71557ac (patch) | |
| tree | ba01b99ca466c93edc9a3f8c1e34394ff84be060 /tests/validation/NEON/ConvolutionLayer.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/NEON/ConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/ConvolutionLayer.cpp | 24 |
1 files changed, 12 insertions, 12 deletions
diff --git a/tests/validation/NEON/ConvolutionLayer.cpp b/tests/validation/NEON/ConvolutionLayer.cpp index 591d1424c8..1d82ff0712 100644 --- a/tests/validation/NEON/ConvolutionLayer.cpp +++ b/tests/validation/NEON/ConvolutionLayer.cpp @@ -75,20 +75,20 @@ TEST_SUITE(NEON) TEST_SUITE(ConvolutionLayer) DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( - framework::dataset::make("InputInfo", { TensorInfo(TensorShape(18U, 18U, 32U), 1, DataType::F32, 0), - TensorInfo(TensorShape(23U, 27U, 32U, 4U), 1, DataType::F32, 0), - TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32, 0), - TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32, 0) + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(18U, 18U, 32U), 1, DataType::F32), + TensorInfo(TensorShape(23U, 27U, 32U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), + TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), - framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 32U, 21U), 1, DataType::F32, 0), - TensorInfo(TensorShape(5U, 5U, 32U, 21U), 1, DataType::F32, 0), - TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32, 0), - TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16, 0) + framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 32U, 21U), 1, DataType::F32), + TensorInfo(TensorShape(5U, 5U, 32U, 21U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), + TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), - framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(16U, 16U, 21U), 1, DataType::F32, 0), - TensorInfo(TensorShape(19U, 23U, 21U, 4U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0), - TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32, 0) + framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(16U, 16U, 21U), 1, DataType::F32), + TensorInfo(TensorShape(19U, 23U, 21U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), + TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), |