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| author | David Monahan <david.monahan@arm.com> | 2023-01-12 14:53:34 +0000 |
|---|---|---|
| committer | David Monahan <david.monahan@arm.com> | 2023-01-13 11:28:52 +0000 |
| commit | d7fca093be53b314e100e15a8fa080cb506b60a3 (patch) | |
| tree | faf4adbdd3154ffa6101bcbbf8c4839179ad180b /src/backends/backendsCommon/test | |
| parent | c17a35f4b016c223add511a148ed3bb741770593 (diff) | |
| download | armnn-d7fca093be53b314e100e15a8fa080cb506b60a3.tar.gz | |
IVGCVSW-7173 Add Rsqrt to Tosa Ref Backend
* Added ElementwiseUnary support with a mapping for Rsqrt
* Added unittests
* Added Rsqrt EndtoEnd tests for all backends
* Changed TosaRefLayerSupport to default to false on unsupported layers
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I3eaa9c684647ead61520a563815581aa68bee51b
Diffstat (limited to 'src/backends/backendsCommon/test')
| -rw-r--r-- | src/backends/backendsCommon/test/ElementwiseUnaryEndToEndTestImpl.hpp | 31 |
1 files changed, 26 insertions, 5 deletions
diff --git a/src/backends/backendsCommon/test/ElementwiseUnaryEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/ElementwiseUnaryEndToEndTestImpl.hpp index 3f530ccb15..9586417407 100644 --- a/src/backends/backendsCommon/test/ElementwiseUnaryEndToEndTestImpl.hpp +++ b/src/backends/backendsCommon/test/ElementwiseUnaryEndToEndTestImpl.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2019 Arm Ltd. All rights reserved. +// Copyright © 2020-2021, 2023 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // #pragma once @@ -47,8 +47,7 @@ INetworkPtr CreateElementwiseUnaryNetwork(const TensorShape& inputShape, template<armnn::DataType ArmnnInType, typename TInput = armnn::ResolveType<ArmnnInType>> void ElementwiseUnarySimpleEndToEnd(const std::vector<BackendId>& backends, - UnaryOperation operation, - const std::vector<float> expectedOutput) + UnaryOperation operation) { using namespace armnn; @@ -63,8 +62,30 @@ void ElementwiseUnarySimpleEndToEnd(const std::vector<BackendId>& backends, CHECK(net); - const std::vector<float> input({ 1, -1, 1, 1, 5, -5, 5, 5, - -3, 3, 3, 3, 4, 4, -4, 4 }); + std::vector<float> input; + std::vector<float> expectedOutput; + switch(operation) + { + case UnaryOperation::Abs: + input = { 1, -1, 1, 1, 5, -5, 5, 5, + -3, 3, 3, 3, 4, 4, -4, 4 }; + expectedOutput = { 1.f, 1.f, 1.f, 1.f, 5.f, 5.f, 5.f, 5.f, + 3.f, 3.f, 3.f, 3.f, 4.f, 4.f, 4.f, 4.f }; + break; + case UnaryOperation::Rsqrt: + input = { 1, 1, 1, 1, 5, 5, 5, 5, + 3, 3, 3, 3, 4, 4, 4, 4 }; + expectedOutput = { 1.f, 1.f, 1.f, 1.f, 0.447214f, 0.447214f, 0.447214f, 0.447214f, + 0.57735f, 0.57735f, 0.57735f, 0.57735f, 0.5f, 0.5f, 0.5f, 0.5f }; + break; + default: + input = { 1, -1, 1, 1, 5, -5, 5, 5, + -3, 3, 3, 3, 4, 4, -4, 4 }; + expectedOutput = { 1.f, 1.f, 1.f, 1.f, 5.f, 5.f, 5.f, 5.f, + 3.f, 3.f, 3.f, 3.f, 4.f, 4.f, 4.f, 4.f }; + break; + } + // quantize data std::vector<TInput> qInputData = armnnUtils::QuantizedVector<TInput>(input, qScale, qOffset); |