| // |
| // Copyright © 2019 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include <boost/test/unit_test.hpp> |
| #include "ParserFlatbuffersFixture.hpp" |
| #include "../TfLiteParser.hpp" |
| |
| BOOST_AUTO_TEST_SUITE(TensorflowLiteParser) |
| |
| struct TransposeFixture : public ParserFlatbuffersFixture |
| { |
| explicit TransposeFixture(const std::string & inputShape, |
| const std::string & permuteData, |
| const std::string & outputShape) |
| { |
| m_JsonString = R"( |
| { |
| "version": 3, |
| "operator_codes": [ |
| { |
| "builtin_code": "TRANSPOSE", |
| "version": 1 |
| } |
| ], |
| "subgraphs": [ |
| { |
| "tensors": [ |
| { |
| "shape": )" + inputShape + R"(, |
| "type": "FLOAT32", |
| "buffer": 0, |
| "name": "inputTensor", |
| "quantization": { |
| "min": [ |
| 0.0 |
| ], |
| "max": [ |
| 255.0 |
| ], |
| "details_type": 0, |
| "quantized_dimension": 0 |
| }, |
| "is_variable": false |
| }, |
| { |
| "shape": )" + outputShape + R"(, |
| "type": "FLOAT32", |
| "buffer": 1, |
| "name": "outputTensor", |
| "quantization": { |
| "details_type": 0, |
| "quantized_dimension": 0 |
| }, |
| "is_variable": false |
| })"; |
| m_JsonString += R"(, |
| { |
| "shape": [ |
| 3 |
| ], |
| "type": "INT32", |
| "buffer": 2, |
| "name": "permuteTensor", |
| "quantization": { |
| "details_type": 0, |
| "quantized_dimension": 0 |
| }, |
| "is_variable": false |
| })"; |
| m_JsonString += R"(], |
| "inputs": [ |
| 0 |
| ], |
| "outputs": [ |
| 1 |
| ], |
| "operators": [ |
| { |
| "opcode_index": 0, |
| "inputs": [ |
| 0)"; |
| m_JsonString += R"(,2)"; |
| m_JsonString += R"(], |
| "outputs": [ |
| 1 |
| ], |
| "builtin_options_type": "TransposeOptions", |
| "builtin_options": { |
| }, |
| "custom_options_format": "FLEXBUFFERS" |
| } |
| ] |
| } |
| ], |
| "description": "TOCO Converted.", |
| "buffers": [ |
| { }, |
| { })"; |
| if (!permuteData.empty()) |
| { |
| m_JsonString += R"(,{"data": )" + permuteData + R"( })"; |
| } |
| m_JsonString += R"( |
| ] |
| } |
| )"; |
| Setup(); |
| } |
| }; |
| |
| // Note that this assumes the Tensorflow permutation vector implementation as opposed to the armnn implemenation. |
| struct TransposeFixtureWithPermuteData : TransposeFixture |
| { |
| TransposeFixtureWithPermuteData() : TransposeFixture("[ 2, 2, 3 ]", |
| "[ 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 0, 0 ]", |
| "[ 2, 3, 2 ]") {} |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(TransposeWithPermuteData, TransposeFixtureWithPermuteData) |
| { |
| RunTest<3, armnn::DataType::Float32>( |
| 0, |
| {{"inputTensor", { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 }}}, |
| {{"outputTensor", { 1, 4, 2, 5, 3, 6, 7, 10, 8, 11, 9, 12 }}}); |
| |
| BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() |
| == armnn::TensorShape({2,3,2}))); |
| } |
| |
| // Tensorflow default permutation behavior assumes no permute argument will create permute vector [n-1...0], |
| // where n is the number of dimensions of the input tensor |
| // In this case we should get output shape 3,2,2 given default permutation vector 2,1,0 |
| struct TransposeFixtureWithoutPermuteData : TransposeFixture |
| { |
| TransposeFixtureWithoutPermuteData() : TransposeFixture("[ 2, 2, 3 ]", |
| "[ 2, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0 ]", |
| "[ 3, 2, 2 ]") {} |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(TransposeWithoutPermuteDims, TransposeFixtureWithoutPermuteData) |
| { |
| RunTest<3, armnn::DataType::Float32>( |
| 0, |
| {{"inputTensor", { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 }}}, |
| {{"outputTensor", { 1, 7, 4, 10, 2, 8, 5, 11, 3, 9, 6, 12 }}}); |
| |
| BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() |
| == armnn::TensorShape({3,2,2}))); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |