James Ward | a857810 | 2020-11-13 18:05:04 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "SoftmaxTestHelper.hpp" |
| 7 | |
| 8 | #include <armnn_delegate.hpp> |
| 9 | |
| 10 | #include <flatbuffers/flatbuffers.h> |
| 11 | #include <tensorflow/lite/schema/schema_generated.h> |
| 12 | |
| 13 | #include <doctest/doctest.h> |
| 14 | |
| 15 | namespace armnnDelegate |
| 16 | { |
| 17 | |
| 18 | /// Convenience function to run softmax and log-softmax test cases |
| 19 | /// \param operatorCode tflite::BuiltinOperator_SOFTMAX or tflite::BuiltinOperator_LOG_SOFTMAX |
| 20 | /// \param backends armnn backends to target |
| 21 | /// \param beta multiplicative parameter to the softmax function |
| 22 | /// \param expectedOutput to be checked against transformed input |
| 23 | void SoftmaxTestCase(tflite::BuiltinOperator operatorCode, |
| 24 | std::vector<armnn::BackendId> backends, float beta, std::vector<float> expectedOutput) { |
| 25 | std::vector<float> input = { |
| 26 | 1.0, 2.5, 3.0, 4.5, 5.0, |
| 27 | -1.0, -2.5, -3.0, -4.5, -5.0}; |
| 28 | std::vector<int32_t> shape = {2, 5}; |
| 29 | |
| 30 | SoftmaxTest(operatorCode, |
| 31 | tflite::TensorType_FLOAT32, |
| 32 | backends, |
| 33 | shape, |
| 34 | input, |
| 35 | expectedOutput, |
| 36 | beta); |
| 37 | } |
| 38 | |
| 39 | TEST_SUITE ("Softmax_GpuAccTests") |
| 40 | { |
| 41 | |
| 42 | TEST_CASE ("Softmax_Standard_Beta_GpuAcc_Test") |
| 43 | { |
| 44 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 45 | std::vector<float> expectedOutput = {0.00994190481, 0.0445565246, 0.0734612942, 0.329230666, 0.542809606, |
| 46 | 0.710742831, 0.158588171, 0.0961885825, 0.0214625746, 0.0130177103}; |
| 47 | SoftmaxTestCase(tflite::BuiltinOperator_SOFTMAX, backends, 1, expectedOutput); |
| 48 | } |
| 49 | |
| 50 | TEST_CASE ("Softmax_Different_Beta_GpuAcc_Test") |
| 51 | { |
| 52 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 53 | std::vector<float> expectedOutput = {0.0946234912, 0.148399189, 0.172415257, 0.270400971, 0.314161092, 0.352414012, |
| 54 | 0.224709094, 0.193408906, 0.123322964, 0.106145054}; |
| 55 | SoftmaxTestCase(tflite::BuiltinOperator_SOFTMAX, backends, 0.3, expectedOutput); |
| 56 | |
| 57 | } |
| 58 | |
| 59 | TEST_CASE ("Log_Softmax_GpuAcc_Test") |
| 60 | { |
| 61 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 62 | std::vector<float> expectedOutput = |
| 63 | {-4.61099672, -3.11099672, -2.61099672, -1.11099672, -0.610996664, |
| 64 | -0.341444582, -1.84144461, -2.34144449, -3.84144449, -4.34144449}; |
| 65 | SoftmaxTestCase(tflite::BuiltinOperator_LOG_SOFTMAX, backends, 0, expectedOutput); |
| 66 | } |
| 67 | } // TEST_SUITE ("Softmax_GpuAccTests") |
| 68 | |
| 69 | TEST_SUITE ("Softmax_CpuAccTests") |
| 70 | { |
| 71 | |
| 72 | TEST_CASE ("Softmax_Standard_Beta_CpuAcc_Test") |
| 73 | { |
| 74 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 75 | std::vector<float> expectedOutput = {0.00994190481, 0.0445565246, 0.0734612942, 0.329230666, 0.542809606, |
| 76 | 0.710742831, 0.158588171, 0.0961885825, 0.0214625746, 0.0130177103}; |
| 77 | SoftmaxTestCase(tflite::BuiltinOperator_SOFTMAX, backends, 1, expectedOutput); |
| 78 | } |
| 79 | |
| 80 | TEST_CASE ("Softmax_Different_Beta_CpuAcc_Test") |
| 81 | { |
| 82 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 83 | std::vector<float> expectedOutput = { |
| 84 | 0.0946234912, 0.148399189, 0.172415257, 0.270400971, 0.314161092, |
| 85 | 0.352414012, 0.224709094, 0.193408906, 0.123322964, 0.106145054}; |
| 86 | SoftmaxTestCase(tflite::BuiltinOperator_SOFTMAX, backends, 0.3, expectedOutput); |
| 87 | } |
| 88 | |
| 89 | TEST_CASE ("Log_Softmax_CpuAcc_Test") |
| 90 | { |
| 91 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 92 | std::vector<float> expectedOutput = |
| 93 | {-4.61099672, -3.11099672, -2.61099672, -1.11099672, -0.610996664, |
| 94 | -0.341444582, -1.84144461, -2.34144449, -3.84144449, -4.34144449}; |
| 95 | SoftmaxTestCase(tflite::BuiltinOperator_LOG_SOFTMAX, backends, 0, expectedOutput); |
| 96 | } |
| 97 | } // TEST_SUITE ("Softmax_CpuAccTests") |
| 98 | |
| 99 | TEST_SUITE ("Softmax_CpuRefTests") |
| 100 | { |
| 101 | |
| 102 | TEST_CASE ("Softmax_Standard_Beta_CpuRef_Test") |
| 103 | { |
| 104 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 105 | std::vector<float> expectedOutput = { |
| 106 | 0.00994190481, 0.0445565246, 0.0734612942, 0.329230666, 0.542809606, |
| 107 | 0.710742831, 0.158588171, 0.0961885825, 0.0214625746, 0.0130177103}; |
| 108 | SoftmaxTestCase(tflite::BuiltinOperator_SOFTMAX, backends, 1, expectedOutput); |
| 109 | } |
| 110 | |
| 111 | TEST_CASE ("Softmax_Different_Beta_CpuRef_Test") |
| 112 | { |
| 113 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 114 | std::vector<float> expectedOutput = { |
| 115 | 0.0946234912, 0.148399189, 0.172415257, 0.270400971, 0.314161092, |
| 116 | 0.352414012, 0.224709094, 0.193408906, 0.123322964, 0.106145054}; |
| 117 | SoftmaxTestCase(tflite::BuiltinOperator_SOFTMAX, backends, 0.3, expectedOutput); |
| 118 | } |
| 119 | |
| 120 | TEST_CASE ("Log_Softmax_CpuRef_Test") |
| 121 | { |
| 122 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 123 | std::vector<float> expectedOutput = |
| 124 | {-4.61099672, -3.11099672, -2.61099672, -1.11099672, -0.610996664, |
| 125 | -0.341444582, -1.84144461, -2.34144449, -3.84144449, -4.34144449}; |
| 126 | SoftmaxTestCase(tflite::BuiltinOperator_LOG_SOFTMAX, backends, 0, expectedOutput); |
| 127 | } |
| 128 | } // TEST_SUITE ("Softmax_CpuRefTests") |
| 129 | } // namespace armnnDelegate |