| // |
| // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ResizeTestHelper.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 <tensorflow/lite/schema/schema_generated.h> |
| #include <tensorflow/lite/version.h> |
| |
| #include <doctest/doctest.h> |
| |
| namespace armnnDelegate |
| { |
| |
| void ResizeBiliniarFloat32Test(std::vector<armnn::BackendId>& backends) |
| { |
| // Set input data |
| std::vector<float> input1Values |
| { |
| 0.0f, 1.0f, 2.0f, |
| 3.0f, 4.0f, 5.0f, |
| 6.0f, 7.0f, 8.0f |
| }; |
| const std::vector<int32_t> input2NewShape { 5, 5 }; |
| |
| // Calculate output data |
| std::vector<float> expectedOutputValues |
| { |
| 0.0f, 0.6f, 1.2f, 1.8f, 2.0f, |
| 1.8f, 2.4f, 3.0f, 3.6f, 3.8f, |
| 3.6f, 4.2f, 4.8f, 5.4f, 5.6f, |
| 5.4f, 6.0f, 6.6f, 7.2f, 7.4f, |
| 6.0f, 6.6f, 7.2f, 7.8f, 8.0f |
| }; |
| |
| const std::vector<int32_t> input1Shape { 1, 3, 3, 1 }; |
| const std::vector<int32_t> input2Shape { 2 }; |
| const std::vector<int32_t> expectedOutputShape = input2NewShape; |
| |
| ResizeFP32TestImpl(tflite::BuiltinOperator_RESIZE_BILINEAR, |
| backends, |
| input1Values, |
| input1Shape, |
| input2NewShape, |
| input2Shape, |
| expectedOutputValues, |
| expectedOutputShape); |
| } |
| |
| void ResizeNearestNeighbourFloat32Test(std::vector<armnn::BackendId>& backends) |
| { |
| // Set input data |
| std::vector<float> input1Values { 1.0f, 2.0f, 3.0f, 4.0f } |
| ; |
| const std::vector<int32_t> input2NewShape { 1, 1 }; |
| |
| // Calculate output data |
| std::vector<float> expectedOutputValues { 1.0f }; |
| |
| const std::vector<int32_t> input1Shape { 1, 2, 2, 1 }; |
| const std::vector<int32_t> input2Shape { 2 }; |
| const std::vector<int32_t> expectedOutputShape = input2NewShape; |
| |
| ResizeFP32TestImpl(tflite::BuiltinOperator_RESIZE_NEAREST_NEIGHBOR, |
| backends, |
| input1Values, |
| input1Shape, |
| input2NewShape, |
| input2Shape, |
| expectedOutputValues, |
| expectedOutputShape); |
| } |
| |
| TEST_SUITE("ResizeTests_GpuAccTests") |
| { |
| |
| TEST_CASE ("Resize_Biliniar_Float32_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| ResizeBiliniarFloat32Test(backends); |
| } |
| |
| TEST_CASE ("Resize_NearestNeighbour_Float32_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| ResizeNearestNeighbourFloat32Test(backends); |
| } |
| |
| } // TEST_SUITE("ResizeTests_GpuAccTests") |
| |
| |
| TEST_SUITE("ResizeTests_CpuAccTests") |
| { |
| |
| TEST_CASE ("Resize_Biliniar_Float32_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| ResizeBiliniarFloat32Test(backends); |
| } |
| |
| TEST_CASE ("Resize_NearestNeighbour_Float32_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| ResizeNearestNeighbourFloat32Test(backends); |
| } |
| |
| } // TEST_SUITE("ResizeTests_CpuAccTests") |
| |
| |
| TEST_SUITE("ResizeTests_CpuRefTests") |
| { |
| |
| TEST_CASE ("Resize_Biliniar_Float32_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| ResizeBiliniarFloat32Test(backends); |
| } |
| |
| TEST_CASE ("Resize_NearestNeighbour_Float32_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| ResizeNearestNeighbourFloat32Test(backends); |
| } |
| |
| } // TEST_SUITE("ResizeTests_CpuRefTests") |
| |
| } // namespace armnnDelegate |