blob: 9a5d6c0ba81b750eb3e08717415d5fe74f99674f [file] [log] [blame]
//
// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ParserFlatbuffersFixture.hpp"
TEST_SUITE("TensorflowLiteParser_BroadcastTo")
{
struct BroadcastToFixture : public ParserFlatbuffersFixture
{
explicit BroadcastToFixture(const std::string& inputShape1,
const std::string& inputShape2,
const std::string& shapeShape,
const std::string& outputBroadcastToShape,
const std::string& outputShape,
const std::string& shapeData,
const bool checkThrows,
const std::string& scale = "1.0",
const std::string& offset = "0")
{
m_JsonString = R"(
{
"version": 3,
"operator_codes": [
{
"deprecated_builtin_code": 127,
"version": 2,
"builtin_code": "BROADCAST_TO"
},
{
"version": 1,
"builtin_code": "MUL"
}
],
"subgraphs": [
{
"tensors": [
{
"shape": )" + inputShape1 + R"(,
"type": "FLOAT32",
"buffer": 1,
"name": "inputTensor1",
"quantization":{
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ )" + scale + R"( ],
"zero_point": [ )" + offset + R"( ],
},
"is_variable": false,
"shape_signature": [
-1,
3
],
"has_rank": true
},
{
"shape": )" + inputShape2 + R"(,
"type": "FLOAT32",
"buffer": 2,
"name": "inputTensor2",
"quantization": {
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ )" + scale + R"( ],
"zero_point": [ )" + offset + R"( ],
},
"is_variable": false,
"shape_signature": [
-1,
3
],
"has_rank": true
},
{
"shape": )" + shapeShape + R"(,
"type": "INT32",
"buffer": 3,
"name": "shape",
"quantization": {
"details_type": "NONE",
"quantized_dimension": 0
},
"is_variable": false,
"shape_signature": [
-1
],
"has_rank": true
},
{
"shape": )" + outputBroadcastToShape + R"(,
"type": "FLOAT32",
"buffer": 4,
"name": "model/tf.broadcast_to/BroadcastTo",
"quantization": {
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ )" + scale + R"( ],
"zero_point": [ )" + offset + R"( ],
},
"is_variable": false,
"has_rank": false
},
{
"shape": )" + outputShape + R"(,
"type": "FLOAT32",
"buffer": 5,
"name": "outputTensor",
"quantization": {
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ )" + scale + R"( ],
"zero_point": [ )" + offset + R"( ],
},
"is_variable": false,
"has_rank": false
}
],
"inputs": [
0,
1,
2
],
"outputs": [
4
],
"operators": [
{
"opcode_index": 0,
"inputs": [
0,
2
],
"outputs": [
3
],
"builtin_options_type": "NONE",
"custom_options_format": "FLEXBUFFERS"
},
{
"opcode_index": 1,
"inputs": [
1,
3
],
"outputs": [
4
],
"builtin_options_type": "MulOptions",
"builtin_options": {
"fused_activation_function": "NONE"
},
"custom_options_format": "FLEXBUFFERS"
}
],
"name": "main"
}
],
"description": "MLIR Converted.",
"buffers": [
{
},
{
},
{
},
{
)" + shapeData + R"(
},
{
},
{
},
{
},
{
}
],
"metadata": [
{
"name": "min_runtime_version",
"buffer": 6
},
{
"name": "CONVERSION_METADATA",
"buffer": 7
}
],
"signature_defs": [
]
}
)";
if(checkThrows)
{
CHECK_THROWS_AS(Setup(), armnn::ParseException);
}
else
{
Setup();
}
}
};
struct BroadcastToSimpleFixture : public ParserFlatbuffersFixture
{
explicit BroadcastToSimpleFixture(const std::string& inputShape,
const std::string& shapeShape,
const std::string& outputShape,
const std::string& shapeData,
const std::string& dataType,
const std::string& scale = "1.0",
const std::string& offset = "0")
{
m_JsonString = R"(
{
"version": 3,
"operator_codes": [
{
"deprecated_builtin_code": 127,
"version": 2,
"builtin_code": "BROADCAST_TO"
}
],
"subgraphs": [
{
"tensors": [
{
"shape": )" + inputShape + R"(,
"type": )" + dataType + R"(,
"buffer": 1,
"name": "input1",
"quantization": {
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ )" + scale + R"( ],
"zero_point": [ )" + offset + R"( ],
},
"is_variable": false,
"shape_signature": [
-1,
3
],
"has_rank": true
},
{
"shape": )" + shapeShape + R"(,
"type": "INT32",
"buffer": 2,
"name": "shape",
"quantization": {
"details_type": "NONE",
"quantized_dimension": 0
},
"is_variable": false,
"shape_signature": [
-1
],
"has_rank": true
},
{
"shape": )" + outputShape + R"(,
"type": )" + dataType + R"(,
"buffer": 3,
"name": "Identity",
"quantization": {
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ )" + scale + R"( ],
"zero_point": [ )" + offset + R"( ],
},
"is_variable": false,
"has_rank": false
}
],
"inputs": [
0,
1
],
"outputs": [
2
],
"operators": [
{
"opcode_index": 0,
"inputs": [
0,
1
],
"outputs": [
2
],
"builtin_options_type": "NONE",
"custom_options_format": "FLEXBUFFERS"
}
],
"name": "main"
}
],
"description": "MLIR Converted.",
"buffers": [
{
},
{
},
{
"data": )" + shapeData + R"(,
},
{
},
{
},
{
}
],
"metadata": [
{
"name": "min_runtime_version",
"buffer": 4
},
{
"name": "CONVERSION_METADATA",
"buffer": 5
}
],
"signature_defs": [
]
}
)";
SetupSingleInputSingleOutput("inputTensor", "outputTensor");
}
};
struct SimpleBroadcastToSimpleFixtureFloat32 : public BroadcastToSimpleFixture
{
SimpleBroadcastToSimpleFixtureFloat32() : BroadcastToSimpleFixture("[1, 4]",
"[2]",
"[3, 4]",
"[3, 0, 0, 0, 4, 0, 0, 0]",
"FLOAT32") {}
};
TEST_CASE_FIXTURE(SimpleBroadcastToSimpleFixtureFloat32, "SimpleParseBroadcastToFloat32")
{
RunTest<2, armnn::DataType::Float32, armnn::DataType::Float32>
(0, {{ "input1", { 1.f, 2.f, 3.f, 4.f }}},
{{ "Identity", { 1.f, 2.f, 3.f, 4.f,
1.f, 2.f, 3.f, 4.f,
1.f, 2.f, 3.f, 4.f}}});
}
struct SimpleBroadcastToSimpleFixtureSigned32 : public BroadcastToSimpleFixture
{
SimpleBroadcastToSimpleFixtureSigned32() : BroadcastToSimpleFixture("[1, 4]",
"[2]",
"[3, 4]",
"[3, 0, 0, 0, 4, 0, 0, 0]",
"INT32") {}
};
TEST_CASE_FIXTURE(SimpleBroadcastToSimpleFixtureSigned32, "SimpleParseBroadcastToSigned32")
{
RunTest<2, armnn::DataType::Signed32, armnn::DataType::Signed32>
(0, {{ "input1", { 1, 2, 3, -4 }}},
{{ "Identity", { 1, 2, 3, -4,
1, 2, 3, -4,
1, 2, 3, -4}}});
}
struct SimpleBroadcastToSimpleFixtureQAsymmU8 : public BroadcastToSimpleFixture
{
SimpleBroadcastToSimpleFixtureQAsymmU8() : BroadcastToSimpleFixture("[1, 4]",
"[2]",
"[3, 4]",
"[3, 0, 0, 0, 4, 0, 0, 0]",
"UINT8") {}
};
TEST_CASE_FIXTURE(SimpleBroadcastToSimpleFixtureQAsymmU8, "SimpleParseBroadcastToQAsymmU8")
{
RunTest<2, armnn::DataType::QAsymmU8, armnn::DataType::QAsymmU8>
(0, {{ "input1", { 1, 2, 3, 4 }}},
{{ "Identity", { 1, 2, 3, 4,
1, 2, 3, 4,
1, 2, 3, 4}}});
}
struct SimpleBroadcastToFixture : public BroadcastToFixture
{
SimpleBroadcastToFixture() : BroadcastToFixture("[1, 4]",
"[3, 4]",
"[2]",
"[3, 4]",
"[3, 4]",
"\"data\":[3, 0, 0, 0, 4, 0, 0, 0]",
false) {}
};
TEST_CASE_FIXTURE(SimpleBroadcastToFixture, "ParseBroadcastTo")
{
RunTest<2, armnn::DataType::Float32, armnn::DataType::Float32, armnn::DataType::Float32>
(
0, {{ "inputTensor1", { 1, 2, 3, 4 }}},
{{"inputTensor2", {1, 1, 1, 1,
1, 1, 1, 1,
1, 1, 1, 1}}},
{{ "outputTensor", { 1, 2, 3, 4,
1, 2, 3, 4,
1, 2, 3, 4}}}
);
}
struct DynamicBroadcastToFixture : public BroadcastToFixture
{
DynamicBroadcastToFixture() : BroadcastToFixture("[1, 4]",
"[3, 4]",
"[2]",
"[3, 4]",
"[3, 4]",
"\"data\":[3, 0, 0, 0, 4, 0, 0, 0]",
false) {}
};
TEST_CASE_FIXTURE(DynamicBroadcastToFixture, "DynamicParseBroadcastTo")
{
RunTest<2, armnn::DataType::Float32, armnn::DataType::Float32, armnn::DataType::Float32>
(
0, {{ "inputTensor1", { 1, 2, 3, 4 }}},
{{"inputTensor2", {1, 1, 1, 1,
1, 1, 1, 1,
1, 1, 1, 1}}},
{{ "outputTensor", { 1, 2, 3, 4,
1, 2, 3, 4,
1, 2, 3, 4}}}
);
}
struct DynamicBroadcastToFixtureNoOutputShape : public BroadcastToFixture
{
DynamicBroadcastToFixtureNoOutputShape() : BroadcastToFixture("[1, 4]",
"[3, 4]",
"[2]",
"[]",
"[3, 4]",
"\"data\":[3, 0, 0, 0, 4, 0, 0, 0]",
false) {}
};
TEST_CASE_FIXTURE(DynamicBroadcastToFixtureNoOutputShape, "DynamicParseBroadcastToNoOutputShape")
{
RunTest<2, armnn::DataType::Float32, armnn::DataType::Float32, armnn::DataType::Float32>
(
0, {{ "inputTensor1", { 1, 2, 3, 4 }}},
{{"inputTensor2", {1, 1, 1, 1,
1, 1, 1, 1,
1, 1, 1, 1}}},
{{ "outputTensor", { 1, 2, 3, 4,
1, 2, 3, 4,
1, 2, 3, 4}}}
);
}
struct DynamicBroadcastToFixtureNoData : public BroadcastToFixture
{
DynamicBroadcastToFixtureNoData() : BroadcastToFixture("[1, 4]",
"[3, 4]",
"[2]",
"[3, 4]",
"[3, 4]",
"",
false) {}
};
TEST_CASE_FIXTURE(DynamicBroadcastToFixtureNoData, "DynamicParseBroadcastToNoData")
{
RunTest<2, armnn::DataType::Float32, armnn::DataType::Float32, armnn::DataType::Float32>
(
0, {{ "inputTensor1", { 1, 2, 3, 4 }}},
{{"inputTensor2", {1, 1, 1, 1,
1, 1, 1, 1,
1, 1, 1, 1}}},
{{ "outputTensor", { 1, 2, 3, 4,
1, 2, 3, 4,
1, 2, 3, 4}}}
);
}
struct DynamicBroadcastToFixtureNoDataNoOutputShape : public BroadcastToFixture
{
DynamicBroadcastToFixtureNoDataNoOutputShape() : BroadcastToFixture("[1, 4]",
"[3, 4]",
"[2]",
"[]",
"[3, 4]",
"", true) { }
};
TEST_CASE_FIXTURE(DynamicBroadcastToFixtureNoDataNoOutputShape, "DynamicParseBroadcastToNoDataNoOutputShape")
{
}
}