From 668ccdcfb81bfab3a2d44cd1ddd956e83a2dfb09 Mon Sep 17 00:00:00 2001 From: Sang-Hoon Park Date: Wed, 3 Feb 2021 10:32:59 +0000 Subject: 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 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4973 Tested-by: Arm Jenkins Reviewed-by: Pablo Marquez Tello Comments-Addressed: Arm Jenkins --- tests/validation/NEON/ElementwiseRsqrtLayer.cpp | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) (limited to 'tests/validation/NEON/ElementwiseRsqrtLayer.cpp') 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 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 +using CpuRsqrtDynamicShapeFixture = RsqrtDynamicShapeValidationFixture; + +FIXTURE_DATA_TEST_CASE(RunSmall, CpuRsqrtDynamicShapeFixture, 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 using NERsqrtLayerFixture = RsqrtValidationFixture; -- cgit v1.2.1