| // |
| // 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 SliceFixture : public ParserFlatbuffersFixture |
| { |
| explicit SliceFixture(const std::string & inputShape, |
| const std::string & outputShape, |
| const std::string & beginData, |
| const std::string & sizeData) |
| { |
| m_JsonString = R"( |
| { |
| "version": 3, |
| "operator_codes": [ |
| { |
| "builtin_code": "SLICE", |
| "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": "beginTensor", |
| "quantization": { |
| } |
| })"; |
| m_JsonString += R"(, |
| { |
| "shape": [ |
| 3 |
| ], |
| "type": "INT32", |
| "buffer": 3, |
| "name": "sizeTensor", |
| "quantization": { |
| } |
| })"; |
| m_JsonString += R"(], |
| "inputs": [ |
| 0 |
| ], |
| "outputs": [ |
| 1 |
| ], |
| "operators": [ |
| { |
| "opcode_index": 0, |
| "inputs": [ |
| 0, |
| 2, |
| 3)"; |
| m_JsonString += R"(], |
| "outputs": [ |
| 1 |
| ], |
| mutating_variable_inputs: [ |
| ] |
| } |
| ] |
| } |
| ], |
| "description": "TOCO Converted.", |
| "buffers": [ |
| { }, |
| { })"; |
| m_JsonString += R"(,{"data": )" + beginData + R"( })"; |
| m_JsonString += R"(,{"data": )" + sizeData + R"( })"; |
| m_JsonString += R"( |
| ] |
| } |
| )"; |
| SetupSingleInputSingleOutput("inputTensor", "outputTensor"); |
| } |
| }; |
| |
| struct SliceFixtureSingleDim : SliceFixture |
| { |
| SliceFixtureSingleDim() : SliceFixture("[ 3, 2, 3 ]", |
| "[ 1, 1, 3 ]", |
| "[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]", |
| "[ 1, 0, 0, 0, 1, 0, 0, 0, 3, 0, 0, 0 ]") {} |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(SliceSingleDim, SliceFixtureSingleDim) |
| { |
| RunTest<3, armnn::DataType::Float32>( |
| 0, |
| {{"inputTensor", { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }}}, |
| {{"outputTensor", { 3, 3, 3 }}}); |
| |
| BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() |
| == armnn::TensorShape({1,1,3}))); |
| } |
| |
| struct SliceFixtureD123 : SliceFixture |
| { |
| SliceFixtureD123() : SliceFixture("[ 3, 2, 3 ]", |
| "[ 1, 2, 3 ]", |
| "[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]", |
| "[ 1, 0, 0, 0, 2, 0, 0, 0, 3, 0, 0, 0 ]") {} |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(SliceD123, SliceFixtureD123) |
| { |
| RunTest<3, armnn::DataType::Float32>( |
| 0, |
| {{"inputTensor", { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }}}, |
| {{"outputTensor", { 3, 3, 3, 4, 4, 4 }}}); |
| |
| BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() |
| == armnn::TensorShape({1,2,3}))); |
| } |
| |
| struct SliceFixtureD213 : SliceFixture |
| { |
| SliceFixtureD213() : SliceFixture("[ 3, 2, 3 ]", |
| "[ 2, 1, 3 ]", |
| "[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]", |
| "[ 2, 0, 0, 0, 1, 0, 0, 0, 3, 0, 0, 0 ]") {} |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(SliceD213, SliceFixtureD213) |
| { |
| RunTest<3, armnn::DataType::Float32>( |
| 0, |
| {{"inputTensor", { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }}}, |
| {{"outputTensor", { 3, 3, 3, 5, 5, 5 }}}); |
| |
| BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() |
| == armnn::TensorShape({2,1,3}))); |
| } |
| |
| struct DynamicSliceFixtureD213 : SliceFixture |
| { |
| DynamicSliceFixtureD213() : SliceFixture("[ 3, 2, 3 ]", |
| "[ ]", |
| "[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]", |
| "[ 2, 0, 0, 0, 1, 0, 0, 0, 3, 0, 0, 0 ]") {} |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(DynamicSliceD213, DynamicSliceFixtureD213) |
| { |
| RunTest<3, armnn::DataType::Float32, armnn::DataType::Float32>( |
| 0, |
| {{"inputTensor", { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }}}, |
| {{"outputTensor", { 3, 3, 3, 5, 5, 5 }}}, |
| true); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |