| // |
| // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "armnnTfLiteParser/ITfLiteParser.hpp" |
| #include "ParserFlatbuffersFixture.hpp" |
| |
| #include <string> |
| |
| #include <boost/test/unit_test.hpp> |
| |
| BOOST_AUTO_TEST_SUITE(TensorflowLiteParser) |
| |
| struct LoadScopeDynamicTensorFixture : public ParserFlatbuffersFixture |
| { |
| explicit LoadScopeDynamicTensorFixture(const std::string& shape0, |
| const std::string& shape1, |
| const std::string& shape2) |
| { |
| m_JsonString = R"( |
| { |
| "version": 3, |
| "operator_codes": [ |
| { |
| "builtin_code": "AVERAGE_POOL_2D", |
| "version": 1 |
| }, |
| { |
| "builtin_code": "SOFTMAX", |
| "version": 1 |
| } |
| ], |
| "subgraphs": [ |
| { |
| "tensors": [ |
| { |
| "shape": )" + shape0 + R"(, |
| "type": "FLOAT32", |
| "buffer": 1, |
| "name": "input0", |
| "quantization": { |
| "details_type": 0, |
| "quantized_dimension": 0 |
| }, |
| "is_variable": false |
| }, |
| { |
| "shape": )" + shape1 + R"(, |
| "type": "FLOAT32", |
| "buffer": 3, |
| "name": "output", |
| "quantization": { |
| "details_type": 0, |
| "quantized_dimension": 0 |
| }, |
| "is_variable": false |
| }, |
| { |
| "shape": )" + shape2 + R"(, |
| "type": "FLOAT32", |
| "buffer": 2, |
| "name": "model/average_pooling2d/AvgPool", |
| "quantization": { |
| "details_type": 0, |
| "quantized_dimension": 0 |
| }, |
| "is_variable": false |
| } |
| ], |
| "inputs": [ |
| 0 |
| ], |
| "outputs": [ |
| 1 |
| ], |
| "operators": [ |
| { |
| "opcode_index": 1, |
| "inputs": [ |
| 2 |
| ], |
| "outputs": [ |
| 1 |
| ], |
| "builtin_options_type": "SoftmaxOptions", |
| "builtin_options": { |
| "beta": 1.0 |
| }, |
| "custom_options_format": "FLEXBUFFERS" |
| }, |
| { |
| "opcode_index": 0, |
| "inputs": [ |
| 0 |
| ], |
| "outputs": [ |
| 2 |
| ], |
| "builtin_options_type": "Pool2DOptions", |
| "builtin_options": { |
| "padding": "VALID", |
| "stride_w": 2, |
| "stride_h": 2, |
| "filter_width": 2, |
| "filter_height": 2, |
| "fused_activation_function": "NONE" |
| }, |
| "custom_options_format": "FLEXBUFFERS" |
| } |
| ], |
| "name": "main" |
| } |
| ], |
| "description": "MLIR Converted.", |
| "buffers": [ |
| { |
| }, |
| { |
| }, |
| { |
| }, |
| { |
| } |
| ] |
| } |
| )"; |
| Setup(); |
| } |
| }; |
| |
| struct LoadScopeDynamicTensor0Fixture : LoadScopeDynamicTensorFixture |
| { |
| LoadScopeDynamicTensor0Fixture() : LoadScopeDynamicTensorFixture("[ 1, 2, 3, 2 ]", "[]", "[]") {} |
| }; |
| |
| struct LoadScopeDynamicTensor1Fixture : LoadScopeDynamicTensorFixture |
| { |
| LoadScopeDynamicTensor1Fixture() : LoadScopeDynamicTensorFixture("[ 1, 2, 4, 1 ]", "[ 1, 1, 2, 1 ]", "[]") {} |
| }; |
| |
| struct LoadScopeDynamicTensor2Fixture : LoadScopeDynamicTensorFixture |
| { |
| LoadScopeDynamicTensor2Fixture() : LoadScopeDynamicTensorFixture("[ 1, 3, 3, 2 ]", "[ ]", "[ 1, 1, 1, 2 ]") {} |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(LoadScopeDynamicTensor0, LoadScopeDynamicTensor0Fixture) |
| { |
| RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32>( |
| 0, |
| { {"input0", { 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f }} }, |
| { {"output", { 0.26894143f, 0.7310586f }} }, |
| true); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(LoadScopeDynamicTensor1, LoadScopeDynamicTensor1Fixture) |
| { |
| RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32>( |
| 0, |
| { {"input0", { 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f }} }, |
| { {"output", { 1.f, 1.f }} }, |
| true); |
| } |
| |
| BOOST_FIXTURE_TEST_CASE(LoadScopeDynamicTensor2, LoadScopeDynamicTensor2Fixture) |
| { |
| RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32>( |
| 0, |
| { {"input0", { 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f }} }, |
| { {"output", { 0.7772999f, 0.22270015f }} }, |
| true); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |