Prod.cpp File Reference

#include "ParserFlatbuffersFixture.hpp"

Go to the source code of this file.

Functions
	TEST_SUITE ("TensorflowLiteParser_Prod")

Function Documentation

TEST_SUITE()

TEST_SUITE

(

"TensorflowLiteParser_Prod"

)

Definition at line 9 of file Prod.cpp.

References ParserFlatbuffersFixture::SetupSingleInputSingleOutput(), and TEST_CASE_FIXTURE().

{
struct ProdFixture : public ParserFlatbuffersFixture
{
    explicit ProdFixture(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": "PROD" } ],
                "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 SimpleProdFixture : public ProdFixture
{
    SimpleProdFixture() : ProdFixture("[ 1, 3, 2, 4 ]", "[ 1, 1, 1, 4 ]", "[ 2 ]", "[ 1, 0, 0, 0,  2, 0, 0, 0 ]") {}
};

TEST_CASE_FIXTURE(SimpleProdFixture, "ParseProd")
{
    RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32>
        (0, {{ "inputTensor", { 1.0f,   2.0f,   3.0f,   4.0f,
                                5.0f,   6.0f,   7.0f,   8.0f,

                                10.0f,  20.0f,  30.0f,  40.0f,
                                50.0f,  60.0f,  70.0f,  80.0f,

                                11.0f, 22.0f, 33.0f, 44.0f,
                                55.0f, 66.0f, 77.0f, 88.0f  } } },
            {{ "outputTensor", { 1512500.f,  20908800.f, 112058100.f, 396492800.f } } });
}

}