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| author | Michalis Spyrou <michalis.spyrou@arm.com> | 2019-01-02 15:54:03 +0000 |
|---|---|---|
| committer | Michalis Spyrou <michalis.spyrou@arm.com> | 2019-01-08 13:11:25 +0000 |
| commit | 8d1b7186ae18944678be04694d51ce7c0c9c9aa9 (patch) | |
| tree | 0c9f372c7e488b59b999e1fcd0df7d5226ccd593 /tests/validation/NEON/ReductionOperation.cpp | |
| parent | 5a97b28d483eefa5810f5cf57356086090c8c894 (diff) | |
| download | ComputeLibrary-8d1b7186ae18944678be04694d51ce7c0c9c9aa9.tar.gz | |
COMPMID-1865 NEReduceMean fails on shape validation
Also handle negative axis
Change-Id: I28e48702d926c2f4aea7b1b674b51bebb01ce5f8
Reviewed-on: https://review.mlplatform.org/464
Reviewed-by: Matthew Bentham <matthew.bentham@arm.com>
Reviewed-by: Isabella Gottardi <isabella.gottardi@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/NEON/ReductionOperation.cpp')
| -rw-r--r-- | tests/validation/NEON/ReductionOperation.cpp | 8 |
1 files changed, 3 insertions, 5 deletions
diff --git a/tests/validation/NEON/ReductionOperation.cpp b/tests/validation/NEON/ReductionOperation.cpp index 8a9d21b091..d064940366 100644 --- a/tests/validation/NEON/ReductionOperation.cpp +++ b/tests/validation/NEON/ReductionOperation.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2018 ARM Limited. + * Copyright (c) 2017-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -60,18 +60,16 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), // Number of Input channels != 1 TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), // DataType != F32 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Axis >= num_max_dimensions - TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Axis > 0 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::F32) })), - framework::dataset::make("Axis", { 0U, 0U, 0U, static_cast<unsigned int>(TensorShape::num_max_dimensions), 1U, 0U })), - framework::dataset::make("Expected", { false, false, false, false, false, true })), + framework::dataset::make("Axis", { 0U, 0U, 0U, static_cast<unsigned int>(TensorShape::num_max_dimensions), 0U })), + framework::dataset::make("Expected", { false, false, false, false, true })), input_info, output_info, axis, expected) { bool is_valid = bool(NEReductionOperation::validate(&input_info.clone()->set_is_resizable(false), |