// // Copyright © 2017 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // #include #include "ParserFlatbuffersFixture.hpp" #include "../TfLiteParser.hpp" #include BOOST_AUTO_TEST_SUITE(TensorflowLiteParser) struct StridedSliceFixture : public ParserFlatbuffersFixture { explicit StridedSliceFixture(const std::string & inputShape, const std::string & outputShape, const std::string & beginData, const std::string & endData, const std::string & stridesData, int beginMask = 0, int endMask = 0) { m_JsonString = R"( { "version": 3, "operator_codes": [ { "builtin_code": "STRIDED_SLICE" } ], "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": [ 4 ], "type": "INT32", "buffer": 1, "name": "beginTensor", "quantization": { } }, { "shape": [ 4 ], "type": "INT32", "buffer": 2, "name": "endTensor", "quantization": { } }, { "shape": [ 4 ], "type": "INT32", "buffer": 3, "name": "stridesTensor", "quantization": { } }, { "shape": )" + outputShape + R"( , "type": "FLOAT32", "buffer": 4, "name": "outputTensor", "quantization": { "min": [ 0.0 ], "max": [ 255.0 ], "scale": [ 1.0 ], "zero_point": [ 0 ], } } ], "inputs": [ 0, 1, 2, 3 ], "outputs": [ 4 ], "operators": [ { "opcode_index": 0, "inputs": [ 0, 1, 2, 3 ], "outputs": [ 4 ], "builtin_options_type": "StridedSliceOptions", "builtin_options": { "begin_mask": )" + std::to_string(beginMask) + R"(, "end_mask": )" + std::to_string(endMask) + R"( }, "custom_options_format": "FLEXBUFFERS" } ], } ], "buffers" : [ { }, { "data": )" + beginData + R"(, }, { "data": )" + endData + R"(, }, { "data": )" + stridesData + R"(, }, { } ] } )"; Setup(); } }; struct StridedSlice4DFixture : StridedSliceFixture { StridedSlice4DFixture() : StridedSliceFixture("[ 3, 2, 3, 1 ]", // inputShape "[ 1, 2, 3, 1 ]", // outputShape "[ 1,0,0,0, 0,0,0,0, 0,0,0,0, 0,0,0,0 ]", // beginData "[ 2,0,0,0, 2,0,0,0, 3,0,0,0, 1,0,0,0 ]", // endData "[ 1,0,0,0, 1,0,0,0, 1,0,0,0, 1,0,0,0 ]" // stridesData ) {} }; BOOST_FIXTURE_TEST_CASE(StridedSlice4D, StridedSlice4DFixture) { RunTest<4, armnn::DataType::Float32>( 0, {{"inputTensor", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }}}, {{"outputTensor", { 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f }}}); } struct StridedSlice4DReverseFixture : StridedSliceFixture { StridedSlice4DReverseFixture() : StridedSliceFixture("[ 3, 2, 3, 1 ]", // inputShape "[ 1, 2, 3, 1 ]", // outputShape "[ 1,0,0,0, " "255,255,255,255, " "0,0,0,0, " "0,0,0,0 ]", // beginData [ 1 -1 0 0 ] "[ 2,0,0,0, " "253,255,255,255, " "3,0,0,0, " "1,0,0,0 ]", // endData [ 2 -3 3 1 ] "[ 1,0,0,0, " "255,255,255,255, " "1,0,0,0, " "1,0,0,0 ]" // stridesData [ 1 -1 1 1 ] ) {} }; BOOST_FIXTURE_TEST_CASE(StridedSlice4DReverse, StridedSlice4DReverseFixture) { RunTest<4, armnn::DataType::Float32>( 0, {{"inputTensor", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }}}, {{"outputTensor", { 4.0f, 4.0f, 4.0f, 3.0f, 3.0f, 3.0f }}}); } struct StridedSliceSimpleStrideFixture : StridedSliceFixture { StridedSliceSimpleStrideFixture() : StridedSliceFixture("[ 3, 2, 3, 1 ]", // inputShape "[ 2, 1, 2, 1 ]", // outputShape "[ 0,0,0,0, 0,0,0,0, 0,0,0,0, 0,0,0,0 ]", // beginData "[ 3,0,0,0, 2,0,0,0, 3,0,0,0, 1,0,0,0 ]", // endData "[ 2,0,0,0, 2,0,0,0, 2,0,0,0, 1,0,0,0 ]" // stridesData ) {} }; BOOST_FIXTURE_TEST_CASE(StridedSliceSimpleStride, StridedSliceSimpleStrideFixture) { RunTest<4, armnn::DataType::Float32>( 0, {{"inputTensor", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }}}, {{"outputTensor", { 1.0f, 1.0f, 5.0f, 5.0f }}}); } struct StridedSliceSimpleRangeMaskFixture : StridedSliceFixture { StridedSliceSimpleRangeMaskFixture() : StridedSliceFixture("[ 3, 2, 3, 1 ]", // inputShape "[ 3, 2, 3, 1 ]", // outputShape "[ 1,0,0,0, 1,0,0,0, 1,0,0,0, 1,0,0,0 ]", // beginData "[ 1,0,0,0, 1,0,0,0, 1,0,0,0, 1,0,0,0 ]", // endData "[ 1,0,0,0, 1,0,0,0, 1,0,0,0, 1,0,0,0 ]", // stridesData (1 << 4) - 1, // beginMask (1 << 4) - 1 // endMask ) {} }; BOOST_FIXTURE_TEST_CASE(StridedSliceSimpleRangeMask, StridedSliceSimpleRangeMaskFixture) { RunTest<4, armnn::DataType::Float32>( 0, {{"inputTensor", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }}}, {{"outputTensor", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }}}); } BOOST_AUTO_TEST_SUITE_END()