// // Copyright © 2017 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // #include #include "ParserFlatbuffersFixture.hpp" #include "../TfLiteParser.hpp" #include #include BOOST_AUTO_TEST_SUITE(TensorflowLiteParser) struct SpaceToBatchNDFixture : public ParserFlatbuffersFixture { explicit SpaceToBatchNDFixture(const std::string & inputShape, const std::string & outputShape, const std::string & blockShapeData, const std::string & padListData) { m_JsonString = R"( { "version": 3, "operator_codes": [ { "builtin_code": "SPACE_TO_BATCH_ND" } ], "subgraphs": [ { "tensors": [ { "shape": )" + inputShape + R"(, "type": "FLOAT32", "buffer": 0, "name": "inputTensor", "quantization": { "min": [ 0.0 ], "max": [ 255.0 ], "scale": [ 1.0 ], "zero_point": [ 0 ], } }, { "shape": )" + outputShape + R"(, "type": "FLOAT32", "buffer": 1, "name": "outputTensor", "quantization": { "min": [ 0.0 ], "max": [ 255.0 ], "scale": [ 1.0 ], "zero_point": [ 0 ], } }, { "shape": [ 2 ], "type": "INT32", "buffer": 2, "name": "blockShapeTensor", "quantization": { "min": [ 0.0 ], "max": [ 255.0 ], "scale": [ 1.0 ], "zero_point": [ 0 ], } }, { "shape": [ 2, 2 ], "type": "INT32", "buffer": 3, "name": "padListTensor", "quantization": { "min": [ 0.0 ], "max": [ 255.0 ], "scale": [ 1.0 ], "zero_point": [ 0 ], } } ], "inputs": [ 0 ], "outputs": [ 1 ], "operators": [ { "opcode_index": 0, "inputs": [ 0, 2, 3 ], "outputs": [ 1 ], "custom_options_format": "FLEXBUFFERS" } ], } ], "buffers" : [ { }, { }, { "data": )" + blockShapeData + R"(, }, { "data": )" + padListData + R"(, }, ] } )"; Setup(); } }; struct SpaceToBatchNDFixtureSimpleTest : public SpaceToBatchNDFixture { SpaceToBatchNDFixtureSimpleTest() : SpaceToBatchNDFixture("[ 1, 4, 4, 1 ]", "[ 4, 2, 2, 1 ]", "[ 2,0,0,0, 2,0,0,0 ]", "[ 0,0,0,0, 0,0,0,0, 0,0,0,0, 0,0,0,0 ]") {} }; BOOST_FIXTURE_TEST_CASE(SpaceToBatchNdSimpleTest, SpaceToBatchNDFixtureSimpleTest) { RunTest<4, armnn::DataType::Float32> (0, {{ "inputTensor", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f }}}, {{ "outputTensor", { 1.0f, 3.0f, 9.0f, 11.0f, 2.0f, 4.0f, 10.0f, 12.0f, 5.0f, 7.0f, 13.0f, 15.0f, 6.0f, 8.0f, 14.0f, 16.0f }}}); } struct SpaceToBatchNDFixtureMultipleInputBatchesTest : public SpaceToBatchNDFixture { SpaceToBatchNDFixtureMultipleInputBatchesTest() : SpaceToBatchNDFixture("[ 2, 2, 4, 1 ]", "[ 8, 1, 2, 1 ]", "[ 2,0,0,0, 2,0,0,0 ]", "[ 0,0,0,0, 0,0,0,0, 0,0,0,0, 0,0,0,0 ]") {} }; BOOST_FIXTURE_TEST_CASE(SpaceToBatchNdMultipleInputBatchesTest, SpaceToBatchNDFixtureMultipleInputBatchesTest) { RunTest<4, armnn::DataType::Float32> (0, {{ "inputTensor", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f }}}, {{ "outputTensor", { 1.0f, 3.0f, 9.0f, 11.0f, 2.0f, 4.0f, 10.0f, 12.0f, 5.0f, 7.0f, 13.0f, 15.0f, 6.0f, 8.0f, 14.0f, 16.0f }}}); } struct SpaceToBatchNDFixturePaddingTest : public SpaceToBatchNDFixture { SpaceToBatchNDFixturePaddingTest() : SpaceToBatchNDFixture("[ 1, 5, 2, 1 ]", "[ 6, 2, 2, 1 ]", "[ 3,0,0,0, 2,0,0,0 ]", "[ 1,0,0,0, 0,0,0,0, 2,0,0,0, 0,0,0,0 ]") {} }; BOOST_FIXTURE_TEST_CASE(SpaceToBatchNdPaddingTest, SpaceToBatchNDFixturePaddingTest) { RunTest<4, armnn::DataType::Float32> (0, {{ "inputTensor", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f }}}, {{ "outputTensor", { 0.0f, 0.0f, 0.0f, 5.0f, 0.0f, 0.0f, 0.0f, 6.0f, 0.0f, 1.0f, 0.0f, 7.0f, 0.0f, 2.0f, 0.0f, 8.0f, 0.0f, 3.0f, 0.0f, 9.0f, 0.0f, 4.0f, 0.0f, 10.0f, }}}); } BOOST_AUTO_TEST_SUITE_END()