aboutsummaryrefslogtreecommitdiff
path: root/src/backends/backendsCommon/test/AbsEndToEndTestImpl.hpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/backends/backendsCommon/test/AbsEndToEndTestImpl.hpp')
-rw-r--r--src/backends/backendsCommon/test/AbsEndToEndTestImpl.hpp65
1 files changed, 0 insertions, 65 deletions
diff --git a/src/backends/backendsCommon/test/AbsEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/AbsEndToEndTestImpl.hpp
deleted file mode 100644
index 602ccd6a19..0000000000
--- a/src/backends/backendsCommon/test/AbsEndToEndTestImpl.hpp
+++ /dev/null
@@ -1,65 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#pragma once
-
-#include "CommonTestUtils.hpp"
-
-#include <QuantizeHelper.hpp>
-#include <ResolveType.hpp>
-
-
-namespace
-{
-
-armnn::INetworkPtr CreateAbsNetwork(const armnn::TensorInfo& tensorInfo)
-{
- armnn::INetworkPtr network(armnn::INetwork::Create());
-
- armnn::IConnectableLayer* inputLayer = network->AddInputLayer(0, "input");
- armnn::IConnectableLayer* absLayer = network->AddAbsLayer("abs");
- armnn::IConnectableLayer* outputLayer = network->AddOutputLayer(0, "output");
-
- Connect(inputLayer, absLayer, tensorInfo, 0, 0);
- Connect(absLayer, outputLayer, tensorInfo, 0, 0);
-
- return network;
-}
-
-} // anonymous namespace
-
-template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
-void AbsEndToEnd(const std::vector<armnn::BackendId>& backends)
-{
- using namespace armnn;
-
- const float qScale = IsQuantizedType<T>() ? 0.25f : 1.0f;
- const int32_t qOffset = IsQuantizedType<T>() ? 50 : 0;
-
- TensorInfo tensorInfo({ 1, 1, 2, 3 }, ArmnnType, qScale, qOffset);
-
- std::vector<float> inputData =
- {
- -1.f, 2.f, -3.f,
- 4.f, -5.f, 6.f
- };
-
- std::vector<float> expectedOutputData =
- {
- 1.f, 2.f, 3.f,
- 4.f, 5.f, 6.f
- };
-
- // quantize data
- std::vector<T> qInputData = armnnUtils::QuantizedVector<T>(inputData, qScale, qOffset);
- std::vector<T> qExpectedOutputData = armnnUtils::QuantizedVector<T>(expectedOutputData, qScale, qOffset);
-
- INetworkPtr network = CreateAbsNetwork(tensorInfo);
-
- EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(network),
- { { 0, qInputData } },
- { { 0, qExpectedOutputData } },
- backends);
-}