Teresa Charlin | 777008b | 2023-07-26 10:07:55 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "ParserFlatbuffersFixture.hpp" |
| 7 | |
| 8 | TEST_SUITE("TensorflowLiteParser_Tile") |
| 9 | { |
| 10 | struct TileFixture : public ParserFlatbuffersFixture |
| 11 | { |
| 12 | explicit TileFixture(const std::string& inputShape, |
| 13 | const std::string& outputShape, |
| 14 | const std::string& multiplesShape, |
| 15 | const std::string& multiplesData, |
| 16 | const std::string& dataType = "FLOAT32", |
| 17 | const std::string& scale = "1.0", |
| 18 | const std::string& offset = "0") |
| 19 | { |
| 20 | m_JsonString = R"( |
| 21 | { |
| 22 | "version": 3, |
| 23 | "operator_codes": [ |
| 24 | { |
| 25 | "deprecated_builtin_code": 69, |
| 26 | "version": 1, |
| 27 | "builtin_code": "TILE" |
| 28 | } |
| 29 | ], |
| 30 | "subgraphs": [ |
| 31 | { |
| 32 | "tensors": [ |
| 33 | { |
| 34 | "shape": )" + inputShape + R"(, |
| 35 | "type": )" + dataType + R"(, |
| 36 | "buffer": 1, |
| 37 | "name": "inputTensor", |
| 38 | "quantization": { |
| 39 | "min": [ 0.0 ], |
| 40 | "max": [ 255.0 ], |
| 41 | "scale": [ )" + scale + R"( ], |
| 42 | "zero_point": [ )" + offset + R"( ], |
| 43 | }, |
| 44 | "is_variable": false, |
| 45 | "has_rank": true |
| 46 | }, |
| 47 | { |
| 48 | "shape": )" + multiplesShape + R"(, |
| 49 | "type": "INT32", |
| 50 | "buffer": 2, |
| 51 | "name": "multiples", |
| 52 | "quantization": { |
| 53 | "details_type": "NONE", |
| 54 | "quantized_dimension": 0 |
| 55 | }, |
| 56 | "is_variable": false, |
| 57 | "has_rank": true |
| 58 | }, |
| 59 | { |
| 60 | "shape": )" + outputShape + R"(, |
| 61 | "type": )" + dataType + R"(, |
| 62 | "buffer": 3, |
| 63 | "name": "outputTensor", |
| 64 | "quantization": { |
| 65 | "min": [ 0.0 ], |
| 66 | "max": [ 255.0 ], |
| 67 | "scale": [ )" + scale + R"( ], |
| 68 | "zero_point": [ )" + offset + R"( ], |
| 69 | }, |
| 70 | "is_variable": false, |
| 71 | "has_rank": true |
| 72 | } |
| 73 | ], |
| 74 | "inputs": [ 0 ], |
| 75 | "outputs": [ 2 ], |
| 76 | "operators": [ |
| 77 | { |
| 78 | "opcode_index": 0, |
| 79 | "inputs": [ 0, 1 ], |
| 80 | "outputs": [ 2 ], |
| 81 | "builtin_options_type": "NONE", |
| 82 | "custom_options_format": "FLEXBUFFERS" |
| 83 | } |
| 84 | ], |
| 85 | } ], |
| 86 | "buffers" : [ |
| 87 | { }, |
| 88 | { }, |
| 89 | { "data": )" + multiplesData + R"(, }, |
| 90 | ] |
| 91 | } |
| 92 | )"; |
| 93 | SetupSingleInputSingleOutput("inputTensor", "outputTensor"); |
| 94 | } |
| 95 | }; |
| 96 | |
| 97 | struct SimpleTileFixture : public TileFixture |
| 98 | { |
| 99 | SimpleTileFixture() : TileFixture("[ 2, 2 ]", "[ 4, 6 ]", "[ 2 ]", "[ 2, 0, 0, 0, 3, 0, 0, 0 ]") {} |
| 100 | }; |
| 101 | |
| 102 | TEST_CASE_FIXTURE(SimpleTileFixture, "ParseTile") |
| 103 | { |
| 104 | RunTest<2, armnn::DataType::Float32, armnn::DataType::Float32> |
| 105 | (0, |
| 106 | {{ "inputTensor", { 1, 2, |
| 107 | 3, 4 }}}, |
| 108 | {{ "outputTensor", { 1, 2, 1, 2, 1, 2, |
| 109 | 3, 4, 3, 4, 3, 4, |
| 110 | 1, 2, 1, 2, 1, 2, |
| 111 | 3, 4, 3, 4, 3, 4, }}}); |
| 112 | } |
| 113 | |
| 114 | } |