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Diffstat (limited to 'delegate/src/test/FullyConnectedTest.cpp')
| -rw-r--r-- | delegate/src/test/FullyConnectedTest.cpp | 128 |
1 files changed, 128 insertions, 0 deletions
diff --git a/delegate/src/test/FullyConnectedTest.cpp b/delegate/src/test/FullyConnectedTest.cpp new file mode 100644 index 0000000000..1d33381d6e --- /dev/null +++ b/delegate/src/test/FullyConnectedTest.cpp @@ -0,0 +1,128 @@ +// +// Copyright © 2020 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "FullyConnectedTestHelper.hpp" + +namespace +{ + +TEST_SUITE("FullyConnectedTest") +{ + +void FullyConnectedFp32Test(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> inputTensorShape { 1, 4, 1, 1 }; + std::vector<int32_t> weightsTensorShape { 1, 4 }; + std::vector<int32_t> biasTensorShape { 1 }; + std::vector<int32_t> outputTensorShape { 1, 1 }; + + std::vector<float> inputValues = { 10, 20, 30, 40 }; + std::vector<float> weightsData = { 2, 3, 4, 5 }; + + std::vector<float> expectedOutputValues = { (400 + 10) }; + + // bias is set std::vector<float> biasData = { 10 } in the model + FullyConnectedTest<float>(backends, + ::tflite::TensorType_FLOAT32, + tflite::ActivationFunctionType_NONE, + inputTensorShape, + weightsTensorShape, + biasTensorShape, + outputTensorShape, + inputValues, + expectedOutputValues, + weightsData); +} + +void FullyConnectedActicationTest(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> inputTensorShape { 1, 4, 1, 1 }; + std::vector<int32_t> weightsTensorShape { 1, 4 }; + std::vector<int32_t> biasTensorShape { 1 }; + std::vector<int32_t> outputTensorShape { 1, 1 }; + + std::vector<float> inputValues = { -10, 20, 30, 40 }; + std::vector<float> weightsData = { 2, 3, 4, -5 }; + + std::vector<float> expectedOutputValues = { 0 }; + + // bias is set std::vector<float> biasData = { 10 } in the model + FullyConnectedTest<float>(backends, + ::tflite::TensorType_FLOAT32, + tflite::ActivationFunctionType_RELU, + inputTensorShape, + weightsTensorShape, + biasTensorShape, + outputTensorShape, + inputValues, + expectedOutputValues, + weightsData); +} + +void FullyConnectedUint8Test(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> inputTensorShape { 1, 4, 2, 1 }; + std::vector<int32_t> weightsTensorShape { 1, 4 }; + std::vector<int32_t> biasTensorShape { 1 }; + std::vector<int32_t> outputTensorShape { 2, 1 }; + + std::vector<uint8_t> inputValues = { 1, 2, 3, 4, 10, 20, 30, 40 }; + std::vector<uint8_t> weightsData = { 2, 3, 4, 5 }; + + std::vector<uint8_t> expectedOutputValues = { (40 + 10) / 2, (400 + 10) / 2 }; + + // bias is set std::vector<int32_t> biasData = { 10 } in the model + // input and weights quantization scale 1.0f and offset 0 in the model + // output quantization scale 2.0f and offset 0 in the model + FullyConnectedTest<uint8_t>(backends, + ::tflite::TensorType_UINT8, + tflite::ActivationFunctionType_NONE, + inputTensorShape, + weightsTensorShape, + biasTensorShape, + outputTensorShape, + inputValues, + expectedOutputValues, + weightsData); +} + +TEST_CASE ("FULLY_CONNECTED_FP32_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + FullyConnectedFp32Test(backends); +} + +TEST_CASE ("FULLY_CONNECTED_FP32_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + FullyConnectedFp32Test(backends); +} + +TEST_CASE ("FULLY_CONNECTED_UINT8_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + FullyConnectedUint8Test(backends); +} + +TEST_CASE ("FULLY_CONNECTED_UINT8_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + FullyConnectedUint8Test(backends); +} + +TEST_CASE ("FULLY_CONNECTED_Activation_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + FullyConnectedActicationTest(backends); +} + +} // End of TEST_SUITE("FullyConnectedTest") + +} // anonymous namespace
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