| // |
| // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ParserFlatbuffersFixture.hpp" |
| |
| #include <numeric> |
| |
| TEST_SUITE("TensorflowLiteParser_L2Normalization") |
| { |
| struct L2NormalizationFixture : public ParserFlatbuffersFixture |
| { |
| explicit L2NormalizationFixture(const std::string & inputOutputShape) |
| { |
| m_JsonString = R"( |
| { |
| "version": 3, |
| "operator_codes": [ { "builtin_code": "L2_NORMALIZATION" } ], |
| "subgraphs": [ { |
| "tensors": [ |
| { |
| "shape": )" + inputOutputShape + R"(, |
| "type": "FLOAT32", |
| "buffer": 0, |
| "name": "inputTensor", |
| "quantization": { |
| "min": [ 0.0 ], |
| "max": [ 255.0 ], |
| "scale": [ 1.0 ], |
| "zero_point": [ 0 ], |
| } |
| }, |
| { |
| "shape": )" + inputOutputShape + R"(, |
| "type": "FLOAT32", |
| "buffer": 1, |
| "name": "outputTensor", |
| "quantization": { |
| "min": [ 0.0 ], |
| "max": [ 255.0 ], |
| "scale": [ 1.0 ], |
| "zero_point": [ 0 ], |
| } |
| } |
| ], |
| "inputs": [ 0 ], |
| "outputs": [ 1 ], |
| "operators": [ |
| { |
| "opcode_index": 0, |
| "inputs": [ 0 ], |
| "outputs": [ 1 ], |
| "custom_options_format": "FLEXBUFFERS" |
| } |
| ], |
| } ], |
| "buffers" : [ |
| { } |
| ] |
| } |
| )"; |
| Setup(); |
| } |
| }; |
| |
| float CalcL2Norm(std::initializer_list<float> elements) |
| { |
| const float reduction = std::accumulate(elements.begin(), elements.end(), 0.0f, |
| [](float acc, float element) { return acc + element * element; }); |
| const float eps = 1e-12f; |
| const float max = reduction < eps ? eps : reduction; |
| return sqrtf(max); |
| } |
| |
| struct L2NormalizationFixture4D : L2NormalizationFixture |
| { |
| // TfLite uses NHWC shape |
| L2NormalizationFixture4D() : L2NormalizationFixture("[ 1, 1, 4, 3 ]") {} |
| }; |
| |
| TEST_CASE_FIXTURE(L2NormalizationFixture4D, "ParseL2Normalization4D") |
| { |
| RunTest<4, armnn::DataType::Float32>( |
| 0, |
| {{"inputTensor", { 1.0f, 2.0f, 3.0f, |
| 4.0f, 5.0f, 6.0f, |
| 7.0f, 8.0f, 9.0f, |
| 10.0f, 11.0f, 12.0f }}}, |
| |
| {{"outputTensor", { 1.0f / CalcL2Norm({ 1.0f, 2.0f, 3.0f }), |
| 2.0f / CalcL2Norm({ 1.0f, 2.0f, 3.0f }), |
| 3.0f / CalcL2Norm({ 1.0f, 2.0f, 3.0f }), |
| |
| 4.0f / CalcL2Norm({ 4.0f, 5.0f, 6.0f }), |
| 5.0f / CalcL2Norm({ 4.0f, 5.0f, 6.0f }), |
| 6.0f / CalcL2Norm({ 4.0f, 5.0f, 6.0f }), |
| |
| 7.0f / CalcL2Norm({ 7.0f, 8.0f, 9.0f }), |
| 8.0f / CalcL2Norm({ 7.0f, 8.0f, 9.0f }), |
| 9.0f / CalcL2Norm({ 7.0f, 8.0f, 9.0f }), |
| |
| 10.0f / CalcL2Norm({ 10.0f, 11.0f, 12.0f }), |
| 11.0f / CalcL2Norm({ 10.0f, 11.0f, 12.0f }), |
| 12.0f / CalcL2Norm({ 10.0f, 11.0f, 12.0f }) }}}); |
| } |
| |
| struct L2NormalizationSimpleFixture4D : L2NormalizationFixture |
| { |
| L2NormalizationSimpleFixture4D() : L2NormalizationFixture("[ 1, 1, 1, 4 ]") {} |
| }; |
| |
| TEST_CASE_FIXTURE(L2NormalizationSimpleFixture4D, "ParseL2NormalizationEps4D") |
| { |
| RunTest<4, armnn::DataType::Float32>( |
| 0, |
| {{"inputTensor", { 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }}}, |
| |
| {{"outputTensor", { 0.00000001f / CalcL2Norm({ 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }), |
| 0.00000002f / CalcL2Norm({ 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }), |
| 0.00000003f / CalcL2Norm({ 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }), |
| 0.00000004f / CalcL2Norm({ 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }) }}}); |
| } |
| |
| } |