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Diffstat (limited to 'src/backends/backendsCommon/test/SoftmaxEndToEndTestImpl.hpp')
-rw-r--r-- | src/backends/backendsCommon/test/SoftmaxEndToEndTestImpl.hpp | 80 |
1 files changed, 80 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/SoftmaxEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/SoftmaxEndToEndTestImpl.hpp new file mode 100644 index 0000000000..f3c71f0817 --- /dev/null +++ b/src/backends/backendsCommon/test/SoftmaxEndToEndTestImpl.hpp @@ -0,0 +1,80 @@ +// +// Copyright © 2024 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include <armnn/INetwork.hpp> + +#include <CommonTestUtils.hpp> +#include <ResolveType.hpp> + +#include <doctest/doctest.h> + +namespace { + +template <typename armnn::DataType DataType> +armnn::INetworkPtr CreateSoftmaxNetwork(const armnn::TensorShape& inputShape, + const armnn::TensorShape& outputShape, + const armnn::SoftmaxDescriptor& descriptor, + const float qScale = 1.0f, + const int32_t qOffset = 0) +{ + using namespace armnn; + + // Builds up the structure of the network. + INetworkPtr net(INetwork::Create()); + + TensorInfo inputTensorInfo(inputShape, DataType, qScale, qOffset, true); + + IConnectableLayer* Softmax = net->AddSoftmaxLayer(descriptor, "Softmax"); + IConnectableLayer* input = net->AddInputLayer(0, "input"); + Connect(input, Softmax, inputTensorInfo, 0, 0); + + TensorInfo outputTensorInfo(outputShape, DataType, qScale, qOffset); + IConnectableLayer* output = net->AddOutputLayer(0, "output"); + Connect(Softmax, output, outputTensorInfo, 0, 0); + + return net; +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +void SoftmaxEndToEnd(const std::vector<armnn::BackendId>& backends) +{ + using namespace armnn; + + const TensorShape& inputShape = { 2, 2 }; + const TensorShape& outputShape = { 2, 2 }; + + SoftmaxDescriptor softmaxDesc; + softmaxDesc.m_Beta = 1.0f; + softmaxDesc.m_Axis = 1; + + // Builds up the structure of the network + INetworkPtr net = CreateSoftmaxNetwork<ArmnnType>(inputShape, + outputShape, + softmaxDesc); + + CHECK(net); + + std::vector<T> inputData + { + 17.0f, 16.0f, 5.0f, 14.0f + }; + + std::vector<T> expectedOutputData + { + 0.731059f, 0.268941f, 0.000123f, 0.999877f + }; + + std::map<int, std::vector<T>> inputTensorData = { {0, inputData} }; + std::map<int, std::vector<T>> expectedOutputTensorData = { {0, expectedOutputData} }; + + EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(net), + inputTensorData, + expectedOutputTensorData, + backends); +} + +} // anonymous namespace
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