Matthew Sloyan | 080ffd8 | 2023-04-24 12:53:04 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "ConvolutionTestHelper.hpp" |
| 7 | |
| 8 | #include <armnn_delegate.hpp> |
| 9 | |
| 10 | #include <flatbuffers/flatbuffers.h> |
| 11 | #include <tensorflow/lite/interpreter.h> |
| 12 | #include <tensorflow/lite/kernels/register.h> |
| 13 | #include <tensorflow/lite/model.h> |
| 14 | #include <schema_generated.h> |
| 15 | #include <tensorflow/lite/version.h> |
| 16 | |
| 17 | #include <doctest/doctest.h> |
| 18 | |
| 19 | namespace armnnDelegate |
| 20 | { |
| 21 | |
| 22 | void TransposeConvInt8Test(std::vector<armnn::BackendId>& backends) |
| 23 | { |
| 24 | // Set input data |
| 25 | std::vector<int32_t> transposeTensorShape { 4 }; |
| 26 | std::vector<int32_t> filterShape { 1, 2, 2, 1 }; |
| 27 | std::vector<int32_t> inputShape { 1, 2, 2, 1 }; |
| 28 | std::vector<int32_t> outputShape { 1, 3, 3, 1 }; |
| 29 | |
| 30 | std::vector<int32_t> transposeData = { 1, 3, 3, 1 }; |
| 31 | static std::vector<int8_t> inputValues = { 1, 2, 3, 4 }; |
| 32 | std::vector<int8_t> filterValues = { 0, 1, 2, 4 }; |
| 33 | std::vector<int8_t> expectedOutputValues = |
| 34 | { |
| 35 | 0, 1, 2, |
| 36 | 2, 11, 12, |
| 37 | 6, 20, 16 |
| 38 | }; |
| 39 | |
| 40 | tflite::Padding padding = tflite::Padding_VALID; |
| 41 | TransposeConvTest<int8_t>(backends, |
| 42 | ::tflite::TensorType_INT8, |
| 43 | 1, // strideX |
| 44 | 1, // strideY |
| 45 | padding, |
| 46 | transposeTensorShape, |
| 47 | filterShape, |
| 48 | inputShape, |
| 49 | outputShape, |
| 50 | transposeData, |
| 51 | filterValues, |
| 52 | inputValues, |
| 53 | expectedOutputValues); |
| 54 | } |
| 55 | |
| 56 | void TransposeConvFp32Test(std::vector<armnn::BackendId>& backends) |
| 57 | { |
| 58 | std::vector<int32_t> transposeTensorShape { 4 }; |
| 59 | std::vector<int32_t> filterShape { 1, 2, 2, 1 }; |
| 60 | std::vector<int32_t> inputShape { 1, 2, 2, 1 }; |
| 61 | std::vector<int32_t> outputShape { 1, 3, 3, 1 }; |
| 62 | |
| 63 | std::vector<int32_t> transposeData = { 1, 3, 3, 1 }; |
| 64 | static std::vector<float> inputValues = { 1, 2, 3, 4 }; |
| 65 | std::vector<float> filterValues = { 0, 1, 2, 4 }; |
| 66 | std::vector<float> expectedOutputValues = |
| 67 | { |
| 68 | 0, 1, 2, |
| 69 | 2, 11, 12, |
| 70 | 6, 20, 16 |
| 71 | }; |
| 72 | |
| 73 | tflite::Padding padding = tflite::Padding_VALID; |
| 74 | TransposeConvTest<float>(backends, |
| 75 | ::tflite::TensorType_FLOAT32, |
| 76 | 1, // strideX |
| 77 | 1, // strideY |
| 78 | padding, |
| 79 | transposeTensorShape, |
| 80 | filterShape, |
| 81 | inputShape, |
| 82 | outputShape, |
| 83 | transposeData, |
| 84 | filterValues, |
| 85 | inputValues, |
| 86 | expectedOutputValues); |
| 87 | } |
| 88 | |
| 89 | TEST_SUITE("TransposeConv_CpuRef_Test") |
| 90 | { |
| 91 | |
| 92 | TEST_CASE ("TransposeConv_CpuRef_Fp32_Test") |
| 93 | { |
| 94 | std::vector <armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 95 | TransposeConvFp32Test(backends); |
| 96 | } |
| 97 | |
| 98 | TEST_CASE ("TransposeConv_CpuRef_Int8_Test") |
| 99 | { |
| 100 | std::vector <armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| 101 | TransposeConvInt8Test(backends); |
| 102 | } |
| 103 | |
| 104 | } // End of TEST_SUITE(TransposeConv_CpuRef_Test) |
| 105 | |
| 106 | TEST_SUITE("TransposeConv_CpuAcc_Test") |
| 107 | { |
| 108 | |
| 109 | TEST_CASE ("TransposeConv_CpuAcc_Fp32_Test") |
| 110 | { |
| 111 | std::vector <armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 112 | TransposeConvFp32Test(backends); |
| 113 | } |
| 114 | |
| 115 | TEST_CASE ("TransposeConv_CpuAcc_Int8_Test") |
| 116 | { |
| 117 | std::vector <armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 118 | TransposeConvInt8Test(backends); |
| 119 | } |
| 120 | |
| 121 | } // End of TEST_SUITE(TransposeConv_CpuAcc_Test) |
| 122 | |
| 123 | TEST_SUITE("TransposeConv_GpuAcc_Test") |
| 124 | { |
| 125 | |
| 126 | TEST_CASE ("TransposeConv_GpuAcc_Fp32_Test") |
| 127 | { |
| 128 | std::vector <armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 129 | TransposeConvFp32Test(backends); |
| 130 | } |
| 131 | |
| 132 | TEST_CASE ("TransposeConv_GpuAcc_Int8_Test") |
| 133 | { |
| 134 | std::vector <armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 135 | TransposeConvInt8Test(backends); |
| 136 | } |
| 137 | |
| 138 | } // End of TEST_SUITE(TransposeConv_GpuAcc_Test) |
| 139 | |
| 140 | } // namespace armnnDelegate |