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Diffstat (limited to 'delegate/test/TransposeConvolution2dTest.cpp')
| -rw-r--r-- | delegate/test/TransposeConvolution2dTest.cpp | 140 |
1 files changed, 140 insertions, 0 deletions
diff --git a/delegate/test/TransposeConvolution2dTest.cpp b/delegate/test/TransposeConvolution2dTest.cpp new file mode 100644 index 0000000000..4630a9004f --- /dev/null +++ b/delegate/test/TransposeConvolution2dTest.cpp @@ -0,0 +1,140 @@ +// +// Copyright © 2023 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ConvolutionTestHelper.hpp" + +#include <armnn_delegate.hpp> + +#include <flatbuffers/flatbuffers.h> +#include <tensorflow/lite/interpreter.h> +#include <tensorflow/lite/kernels/register.h> +#include <tensorflow/lite/model.h> +#include <schema_generated.h> +#include <tensorflow/lite/version.h> + +#include <doctest/doctest.h> + +namespace armnnDelegate +{ + +void TransposeConvInt8Test(std::vector<armnn::BackendId>& backends) +{ + // Set input data + std::vector<int32_t> transposeTensorShape { 4 }; + std::vector<int32_t> filterShape { 1, 2, 2, 1 }; + std::vector<int32_t> inputShape { 1, 2, 2, 1 }; + std::vector<int32_t> outputShape { 1, 3, 3, 1 }; + + std::vector<int32_t> transposeData = { 1, 3, 3, 1 }; + static std::vector<int8_t> inputValues = { 1, 2, 3, 4 }; + std::vector<int8_t> filterValues = { 0, 1, 2, 4 }; + std::vector<int8_t> expectedOutputValues = + { + 0, 1, 2, + 2, 11, 12, + 6, 20, 16 + }; + + tflite::Padding padding = tflite::Padding_VALID; + TransposeConvTest<int8_t>(backends, + ::tflite::TensorType_INT8, + 1, // strideX + 1, // strideY + padding, + transposeTensorShape, + filterShape, + inputShape, + outputShape, + transposeData, + filterValues, + inputValues, + expectedOutputValues); +} + +void TransposeConvFp32Test(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> transposeTensorShape { 4 }; + std::vector<int32_t> filterShape { 1, 2, 2, 1 }; + std::vector<int32_t> inputShape { 1, 2, 2, 1 }; + std::vector<int32_t> outputShape { 1, 3, 3, 1 }; + + std::vector<int32_t> transposeData = { 1, 3, 3, 1 }; + static std::vector<float> inputValues = { 1, 2, 3, 4 }; + std::vector<float> filterValues = { 0, 1, 2, 4 }; + std::vector<float> expectedOutputValues = + { + 0, 1, 2, + 2, 11, 12, + 6, 20, 16 + }; + + tflite::Padding padding = tflite::Padding_VALID; + TransposeConvTest<float>(backends, + ::tflite::TensorType_FLOAT32, + 1, // strideX + 1, // strideY + padding, + transposeTensorShape, + filterShape, + inputShape, + outputShape, + transposeData, + filterValues, + inputValues, + expectedOutputValues); +} + +TEST_SUITE("TransposeConv_CpuRef_Test") +{ + +TEST_CASE ("TransposeConv_CpuRef_Fp32_Test") +{ + std::vector <armnn::BackendId> backends = {armnn::Compute::CpuRef}; + TransposeConvFp32Test(backends); +} + +TEST_CASE ("TransposeConv_CpuRef_Int8_Test") +{ + std::vector <armnn::BackendId> backends = {armnn::Compute::CpuRef}; + TransposeConvInt8Test(backends); +} + +} // End of TEST_SUITE(TransposeConv_CpuRef_Test) + +TEST_SUITE("TransposeConv_CpuAcc_Test") +{ + +TEST_CASE ("TransposeConv_CpuAcc_Fp32_Test") +{ + std::vector <armnn::BackendId> backends = {armnn::Compute::CpuAcc}; + TransposeConvFp32Test(backends); +} + +TEST_CASE ("TransposeConv_CpuAcc_Int8_Test") +{ + std::vector <armnn::BackendId> backends = {armnn::Compute::CpuAcc}; + TransposeConvInt8Test(backends); +} + +} // End of TEST_SUITE(TransposeConv_CpuAcc_Test) + +TEST_SUITE("TransposeConv_GpuAcc_Test") +{ + +TEST_CASE ("TransposeConv_GpuAcc_Fp32_Test") +{ + std::vector <armnn::BackendId> backends = {armnn::Compute::GpuAcc}; + TransposeConvFp32Test(backends); +} + +TEST_CASE ("TransposeConv_GpuAcc_Int8_Test") +{ + std::vector <armnn::BackendId> backends = {armnn::Compute::GpuAcc}; + TransposeConvInt8Test(backends); +} + +} // End of TEST_SUITE(TransposeConv_GpuAcc_Test) + +} // namespace armnnDelegate
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