// // Copyright © 2021 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // #include "ParserFlatbuffersFixture.hpp" #include "../TfLiteParser.hpp" #include #include TEST_SUITE("TensorflowLiteParser_Reduce") { struct ReduceMaxFixture : public ParserFlatbuffersFixture { explicit ReduceMaxFixture(const std::string& inputShape, const std::string& outputShape, const std::string& axisShape, const std::string& axisData) { m_JsonString = R"( { "version": 3, "operator_codes": [ { "builtin_code": "REDUCE_MAX" } ], "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": )" + axisShape + R"( , "type": "INT32", "buffer": 2, "name": "axis", "quantization": { "min": [ 0.0 ], "max": [ 255.0 ], "scale": [ 1.0 ], "zero_point": [ 0 ], } } ], "inputs": [ 0 ], "outputs": [ 1 ], "operators": [ { "opcode_index": 0, "inputs": [ 0 , 2 ], "outputs": [ 1 ], "builtin_options_type": "ReducerOptions", "builtin_options": { "keep_dims": true, }, "custom_options_format": "FLEXBUFFERS" } ], } ], "buffers" : [ { }, { }, { "data": )" + axisData + R"(, }, ] } )"; SetupSingleInputSingleOutput("inputTensor", "outputTensor"); } }; struct SimpleReduceMaxFixture : public ReduceMaxFixture { SimpleReduceMaxFixture() : ReduceMaxFixture("[ 1, 1, 2, 3 ]", "[ 1, 1, 1, 3 ]", "[ 1 ]", "[ 2,0,0,0 ]") {} }; TEST_CASE_FIXTURE(SimpleReduceMaxFixture, "ParseReduceMax") { RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32> (0, {{ "inputTensor", { 1001.0f, 11.0f, 1003.0f, 10.0f, 1002.0f, 12.0f } } }, {{ "outputTensor", { 1001.0f, 1002.0f, 1003.0f } } }); } struct ReduceMinFixture : public ParserFlatbuffersFixture { explicit ReduceMinFixture(const std::string& inputShape, const std::string& outputShape, const std::string& axisShape, const std::string& axisData) { m_JsonString = R"( { "version": 3, "operator_codes": [ { "builtin_code": "REDUCE_MIN" } ], "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": )" + axisShape + R"( , "type": "INT32", "buffer": 2, "name": "axis", "quantization": { "min": [ 0.0 ], "max": [ 255.0 ], "scale": [ 1.0 ], "zero_point": [ 0 ], } } ], "inputs": [ 0 ], "outputs": [ 1 ], "operators": [ { "opcode_index": 0, "inputs": [ 0 , 2 ], "outputs": [ 1 ], "builtin_options_type": "ReducerOptions", "builtin_options": { "keep_dims": true, }, "custom_options_format": "FLEXBUFFERS" } ], } ], "buffers" : [ { }, { }, { "data": )" + axisData + R"(, }, ] } )"; SetupSingleInputSingleOutput("inputTensor", "outputTensor"); } }; struct SimpleReduceMinFixture : public ReduceMinFixture { SimpleReduceMinFixture() : ReduceMinFixture("[ 1, 1, 2, 3 ]", "[ 1, 1, 1, 3 ]", "[ 1 ]", "[ 2, 0, 0, 0 ]") {} }; TEST_CASE_FIXTURE(SimpleReduceMinFixture, "ParseReduceMin") { RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32> (0, {{ "inputTensor", { 1001.0f, 11.0f, 1003.0f, 10.0f, 1002.0f, 12.0f } } }, {{ "outputTensor", { 10.0f, 11.0f, 12.0f } } }); } }