| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include <boost/test/unit_test.hpp> |
| #include "ParserFlatbuffersFixture.hpp" |
| #include "../TfLiteParser.hpp" |
| |
| #include <string> |
| #include <iostream> |
| |
| BOOST_AUTO_TEST_SUITE(TensorflowLiteParser) |
| |
| struct ReshapeFixture : public ParserFlatbuffersFixture |
| { |
| explicit ReshapeFixture(const std::string& inputShape, |
| const std::string& outputShape, |
| const std::string& newShape) |
| { |
| m_JsonString = R"( |
| { |
| "version": 3, |
| "operator_codes": [ { "builtin_code": "RESHAPE" } ], |
| "subgraphs": [ { |
| "tensors": [ |
| {)"; |
| m_JsonString += R"( |
| "shape" : )" + inputShape + ","; |
| m_JsonString += R"( |
| "type": "UINT8", |
| "buffer": 0, |
| "name": "inputTensor", |
| "quantization": { |
| "min": [ 0.0 ], |
| "max": [ 255.0 ], |
| "scale": [ 1.0 ], |
| "zero_point": [ 0 ], |
| } |
| }, |
| {)"; |
| m_JsonString += R"( |
| "shape" : )" + outputShape; |
| m_JsonString += R"(, |
| "type": "UINT8", |
| "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 ], |
| "builtin_options_type": "ReshapeOptions", |
| "builtin_options": {)"; |
| if (!newShape.empty()) |
| { |
| m_JsonString += R"("new_shape" : )" + newShape; |
| } |
| m_JsonString += R"(}, |
| "custom_options_format": "FLEXBUFFERS" |
| } |
| ], |
| } ], |
| "buffers" : [ {}, {} ] |
| } |
| )"; |
| |
| } |
| }; |
| |
| struct ReshapeFixtureWithReshapeDims : ReshapeFixture |
| { |
| ReshapeFixtureWithReshapeDims() : ReshapeFixture("[ 1, 9 ]", "[ 3, 3 ]", "[ 3, 3 ]") {} |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(ParseReshapeWithReshapeDims, ReshapeFixtureWithReshapeDims) |
| { |
| SetupSingleInputSingleOutput("inputTensor", "outputTensor"); |
| RunTest<2, armnn::DataType::QuantisedAsymm8>(0, |
| { 1, 2, 3, 4, 5, 6, 7, 8, 9 }, |
| { 1, 2, 3, 4, 5, 6, 7, 8, 9 }); |
| BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() |
| == armnn::TensorShape({3,3}))); |
| } |
| |
| struct ReshapeFixtureWithReshapeDimsFlatten : ReshapeFixture |
| { |
| ReshapeFixtureWithReshapeDimsFlatten() : ReshapeFixture("[ 3, 3 ]", "[ 1, 9 ]", "[ -1 ]") {} |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(ParseReshapeWithReshapeDimsFlatten, ReshapeFixtureWithReshapeDimsFlatten) |
| { |
| SetupSingleInputSingleOutput("inputTensor", "outputTensor"); |
| RunTest<2, armnn::DataType::QuantisedAsymm8>(0, |
| { 1, 2, 3, 4, 5, 6, 7, 8, 9 }, |
| { 1, 2, 3, 4, 5, 6, 7, 8, 9 }); |
| BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() |
| == armnn::TensorShape({1,9}))); |
| } |
| |
| struct ReshapeFixtureWithReshapeDimsFlattenTwoDims : ReshapeFixture |
| { |
| ReshapeFixtureWithReshapeDimsFlattenTwoDims() : ReshapeFixture("[ 3, 2, 3 ]", "[ 2, 9 ]", "[ 2, -1 ]") {} |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(ParseReshapeWithReshapeDimsFlattenTwoDims, ReshapeFixtureWithReshapeDimsFlattenTwoDims) |
| { |
| SetupSingleInputSingleOutput("inputTensor", "outputTensor"); |
| RunTest<2, armnn::DataType::QuantisedAsymm8>(0, |
| { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }, |
| { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }); |
| BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() |
| == armnn::TensorShape({2,9}))); |
| } |
| |
| struct ReshapeFixtureWithReshapeDimsFlattenOneDim : ReshapeFixture |
| { |
| ReshapeFixtureWithReshapeDimsFlattenOneDim() : ReshapeFixture("[ 2, 9 ]", "[ 2, 3, 3 ]", "[ 2, -1, 3 ]") {} |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(ParseReshapeWithReshapeDimsFlattenOneDim, ReshapeFixtureWithReshapeDimsFlattenOneDim) |
| { |
| SetupSingleInputSingleOutput("inputTensor", "outputTensor"); |
| RunTest<3, armnn::DataType::QuantisedAsymm8>(0, |
| { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }, |
| { 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6 }); |
| BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo(0, "outputTensor").second.GetShape() |
| == armnn::TensorShape({2,3,3}))); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |