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Diffstat (limited to 'delegate/src/test/FullyConnectedTest.cpp')
| -rw-r--r-- | delegate/src/test/FullyConnectedTest.cpp | 178 |
1 files changed, 0 insertions, 178 deletions
diff --git a/delegate/src/test/FullyConnectedTest.cpp b/delegate/src/test/FullyConnectedTest.cpp deleted file mode 100644 index 3ef5cedbd7..0000000000 --- a/delegate/src/test/FullyConnectedTest.cpp +++ /dev/null @@ -1,178 +0,0 @@ -// -// Copyright © 2020-2021,2023 Arm Ltd and Contributors. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "FullyConnectedTestHelper.hpp" - -namespace -{ - -void FullyConnectedFp32Test(std::vector<armnn::BackendId>& backends, bool constantWeights = true) -{ - 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, - constantWeights); -} - -void FullyConnectedActivationTest(std::vector<armnn::BackendId>& backends, bool constantWeights = true) -{ - 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, - constantWeights); -} - -void FullyConnectedInt8Test(std::vector<armnn::BackendId>& backends, bool constantWeights = true) -{ - 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<int8_t> inputValues = { 1, 2, 3, 4, 5, 10, 15, 20 }; - std::vector<int8_t> weightsData = { 2, 3, 4, 5 }; - - std::vector<int8_t> expectedOutputValues = { 25, 105 }; // (40 + 10) / 2, (200 + 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<int8_t>(backends, - ::tflite::TensorType_INT8, - tflite::ActivationFunctionType_NONE, - inputTensorShape, - weightsTensorShape, - biasTensorShape, - outputTensorShape, - inputValues, - expectedOutputValues, - weightsData, - constantWeights); -} - -TEST_SUITE("FullyConnected_GpuAccTests") -{ - -TEST_CASE ("FullyConnected_FP32_GpuAcc_Test") -{ - std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; - FullyConnectedFp32Test(backends); -} - -TEST_CASE ("FullyConnected_Int8_GpuAcc_Test") -{ - std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; - FullyConnectedInt8Test(backends); -} - -TEST_CASE ("FullyConnected_Activation_GpuAcc_Test") -{ - std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; - FullyConnectedActivationTest(backends); -} - -} // End of TEST_SUITE("FullyConnected_GpuAccTests") - -TEST_SUITE("FullyConnected_CpuAccTests") -{ - -TEST_CASE ("FullyConnected_FP32_CpuAcc_Test") -{ - std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; - FullyConnectedFp32Test(backends); -} - -TEST_CASE ("FullyConnected_Int8_CpuAcc_Test") -{ - std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; - FullyConnectedInt8Test(backends); -} - -TEST_CASE ("FullyConnected_Activation_CpuAcc_Test") -{ - std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; - FullyConnectedActivationTest(backends); -} - -} // End of TEST_SUITE("FullyConnected_CpuAccTests") - -TEST_SUITE("FullyConnected_CpuRefTests") -{ - -TEST_CASE ("FullyConnected_FP32_CpuRef_Test") -{ - std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; - FullyConnectedFp32Test(backends); -} - -TEST_CASE ("FullyConnected_Int8_CpuRef_Test") -{ - std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; - FullyConnectedInt8Test(backends); -} - -TEST_CASE ("FullyConnected_Activation_CpuRef_Test") -{ - std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; - FullyConnectedActivationTest(backends); -} - -TEST_CASE ("FullyConnected_Weights_As_Inputs_FP32_CpuRef_Test") -{ - std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; - FullyConnectedFp32Test(backends, false); -} - -TEST_CASE ("FullyConnected_Weights_As_Inputs_Int8_CpuRef_Test") -{ - std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; - FullyConnectedInt8Test(backends, false); -} - -TEST_CASE ("FullyConnected_Weights_As_Inputs_Activation_CpuRef_Test") -{ - std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; - FullyConnectedActivationTest(backends, false); -} - -} // End of TEST_SUITE("FullyConnected_CpuRefTests") - -} // anonymous namespace
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