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| author | Michalis Spyrou <michalis.spyrou@arm.com> | 2018-10-11 17:33:32 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:55:45 +0000 |
| commit | 8aaf93e8c12ce93d3d0082d4f4b70376f15536da (patch) | |
| tree | 0922f3dde6fafae181e101df315ef36007801850 /tests/validation/CL/ReductionOperation.cpp | |
| parent | c93691717a6e7ca67e32b4dedd233b8c63b6daf2 (diff) | |
| download | ComputeLibrary-8aaf93e8c12ce93d3d0082d4f4b70376f15536da.tar.gz | |
COMPMID-1632 Add CLL2NormalizationLayer for NHWC and FP32
Change-Id: Iae22554d5fe893fd22a000eab5bfd8275ea06eb3
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/154102
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: bsgcomp <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/CL/ReductionOperation.cpp')
| -rw-r--r-- | tests/validation/CL/ReductionOperation.cpp | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/tests/validation/CL/ReductionOperation.cpp b/tests/validation/CL/ReductionOperation.cpp index 516a1341cc..2adb4e90d6 100644 --- a/tests/validation/CL/ReductionOperation.cpp +++ b/tests/validation/CL/ReductionOperation.cpp @@ -58,16 +58,16 @@ TEST_SUITE(ReductionOperation) DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( framework::dataset::make("InputInfo", { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Mismatching data type input/output TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), // Number of Input channels != 1 - TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), // DataType != F16/F32 + TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), // DataType != QASYMM8/F16/F32 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Axis >= num_max_dimensions - TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Axis > 0 and SUM_SQUARE + TensorInfo(TensorShape(128U, 64U), 1, DataType::QASYMM8), // Axis == 0 and SUM_SQUARE and QASYMM8 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) }), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(1U, 64U), 1, DataType::F16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), TensorInfo(TensorShape(1U, 64U), 1, DataType::S16), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), - TensorInfo(TensorShape(1U, 64U), 1, DataType::F32), + TensorInfo(TensorShape(1U, 64U), 1, DataType::QASYMM8), TensorInfo(TensorShape(1U, 64U), 1, DataType::F32) })), framework::dataset::make("Axis", { 0U, 0U, 0U, static_cast<unsigned int>(TensorShape::num_max_dimensions), 1U, 0U })), |