diff options
author | Sang-Hoon Park <sang-hoon.park@arm.com> | 2021-02-03 10:32:59 +0000 |
---|---|---|
committer | Sang-Hoon Park <sang-hoon.park@arm.com> | 2021-03-08 17:00:45 +0000 |
commit | 668ccdcfb81bfab3a2d44cd1ddd956e83a2dfb09 (patch) | |
tree | d139e1a770bcfc182f1aef38a1b908d634f9bb1c /tests/validation/NEON/ElementwiseRsqrtLayer.cpp | |
parent | 201e0fee596dafcf9c869a550fae29779aad2394 (diff) | |
download | ComputeLibrary-668ccdcfb81bfab3a2d44cd1ddd956e83a2dfb09.tar.gz |
Add dynamic tensor support to CpuElementwise
The kernels and operators for binary and unary operations
are now capable of being configured with dynamic shapes and
computing windows at run-time.
Additionally, changing arguments' names is done
for consistency.
Partially Implements: COMPMID-4127
Change-Id: I48e5038692db667dec7cb2b2906fe5683214fe19
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4973
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/NEON/ElementwiseRsqrtLayer.cpp')
-rw-r--r-- | tests/validation/NEON/ElementwiseRsqrtLayer.cpp | 19 |
1 files changed, 19 insertions, 0 deletions
diff --git a/tests/validation/NEON/ElementwiseRsqrtLayer.cpp b/tests/validation/NEON/ElementwiseRsqrtLayer.cpp index f41500cc0b..1591b76cd7 100644 --- a/tests/validation/NEON/ElementwiseRsqrtLayer.cpp +++ b/tests/validation/NEON/ElementwiseRsqrtLayer.cpp @@ -50,6 +50,25 @@ RelativeTolerance<float> tolerance_fp16(0.01f); TEST_SUITE(NEON) TEST_SUITE(RsqrtLayer) +// Test test cases will execute the function with dynamic-stated shapes +// Since other elementwise unary operations share the same kernel, this tests are added only here. +// Also, only FP32 is tested since data type doesn't/shouldn't matter with dynamic shapes. +TEST_SUITE(DynamicShape) +TEST_SUITE(FP32) + +template <typename T> +using CpuRsqrtDynamicShapeFixture = RsqrtDynamicShapeValidationFixture<Tensor, Accessor, NERsqrtLayer, T>; + +FIXTURE_DATA_TEST_CASE(RunSmall, CpuRsqrtDynamicShapeFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", + DataType::F32))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp32); +} + +TEST_SUITE_END() // FP32 +TEST_SUITE_END() // DynamicShape + template <typename T> using NERsqrtLayerFixture = RsqrtValidationFixture<Tensor, Accessor, NERsqrtLayer, T>; |