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//
// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <doctest/doctest.h>
#include "ParserFlatbuffersFixture.hpp"
TEST_SUITE("TensorflowLiteParser_Prelu")
{
struct PreluFixture : public ParserFlatbuffersFixture
{
explicit PreluFixture(const std::string& inputShape,
const std::string& alphaShape,
const std::string& outputShape,
const std::string& inputIndex,
const std::string& alphaData)
{
m_JsonString = R"(
{
"version": 3,
"operator_codes": [
{
"builtin_code": "PRELU",
"version": 1
}
],
"subgraphs": [
{
"tensors": [
{
"shape": )" + inputShape + R"(,
"type": "FLOAT32",
"buffer": 1,
"name": "input0",
"quantization": {
"details_type": "NONE",
"quantized_dimension": 0
},
"is_variable": false
},
{
"shape": )" + alphaShape + R"(,
"type": "FLOAT32",
"buffer": 2,
"name": "input1",
"quantization": {
"details_type": "NONE",
"quantized_dimension": 0
},
"is_variable": false
},
{
"shape": )" + outputShape + R"(,
"type": "FLOAT32",
"buffer": 3,
"name": "output",
"quantization": {
"details_type": "NONE",
"quantized_dimension": 0
},
"is_variable": false
}
],
"inputs": )" + inputIndex + R"(,
"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": [
{
},
{
},
{ )" + alphaData + R"(
},
{
}
]
}
)";
Setup();
}
};
struct PreluNetworkFixture : public ParserFlatbuffersFixture
{
explicit PreluNetworkFixture()
{
m_JsonString = R"(
{
"version": 3,
"operator_codes": [
{
"builtin_code": "PRELU",
"version": 1
},
{
"builtin_code": "MUL",
"version": 1
},
{
"builtin_code": "ADD",
"version": 1
}
],
"subgraphs": [
{
"tensors": [
{
"shape": [
1,
2,
3
],
"type": "FLOAT32",
"buffer": 6,
"name": "output",
"quantization": {
"details_type": "NONE",
"quantized_dimension": 0
},
},
{
"shape": [
1,
2,
3
],
"type": "FLOAT32",
"buffer": 5,
"name": "mul",
"quantization": {
"details_type": "NONE",
"quantized_dimension": 0
}
},
{
"shape": [
1,
2,
3
],
"type": "FLOAT32",
"buffer": 1,
"name": "input0",
"quantization": {
"details_type": "NONE",
"quantized_dimension": 0
}
},
{
"shape": [
2,
3
],
"type": "FLOAT32",
"buffer": 2,
"name": "alpha",
"quantization": {
"details_type": "NONE",
"quantized_dimension": 0
}
},
{
"shape": [
1
],
"type": "FLOAT32",
"buffer": 3,
"name": "const0",
"quantization": {
"details_type": "NONE",
"quantized_dimension": 0
}
},
{
"shape": [
1,
2,
3
],
"type": "FLOAT32",
"buffer": 4,
"name": "prelumul",
"quantization": {
"details_type": "NONE",
"quantized_dimension": 0
}
}
],
"inputs": [
2
],
"outputs": [
0
],
"operators": [
{
"opcode_index": 0,
"inputs": [
2,
3
],
"outputs": [
5
],
"builtin_options_type": "NONE",
"custom_options_format": "FLEXBUFFERS"
},
{
"opcode_index": 1,
"inputs": [
5,
4
],
"outputs": [
1
],
"builtin_options_type": "MulOptions",
"builtin_options": {
"fused_activation_function": "NONE"
},
"custom_options_format": "FLEXBUFFERS"
},
{
"opcode_index": 2,
"inputs": [
5,
1
],
"outputs": [
0
],
"builtin_options_type": "AddOptions",
"builtin_options": {
"fused_activation_function": "NONE"
},
"custom_options_format": "FLEXBUFFERS"
}
],
"name": "main"
}
],
"buffers": [
{
},
{
},
{
"data": [
0,
0,
128,
62,
0,
0,
128,
62,
0,
0,
128,
62,
0,
0,
128,
62,
0,
0,
128,
62,
0,
0,
128,
62
]
},
{
"data": [
0,
0,
160,
64
]
},
{
},
{
},
{
},
{
}
],
}
)";
Setup();
}
};
struct SimplePreluFixture : PreluFixture
{
SimplePreluFixture() : PreluFixture("[ 2, 3 ]",
"[ 1 ]",
"[ 2, 3 ]",
"[ 0, 1 ]",
"") {}
};
struct PreluConstAlphaFixture : PreluFixture
{
PreluConstAlphaFixture() : PreluFixture(
"[ 1, 2, 3 ]",
"[ 1, 2, 3 ]",
"[ 1, 2, 3 ]",
"[ 0 ]",
"\"data\": [ 0, 0, 128, 62, 0, 0, 128, 62, 0, 0, 128, 62, 0, 0, 128, 62, 0, 0, 128, 62, 0, 0, 128, 62 ]"){}
};
struct PreluBroadcastAlphaFixture : PreluFixture
{
PreluBroadcastAlphaFixture() : PreluFixture(
"[ 1, 1, 2, 3 ]",
"[ 1, 3 ]",
"[ 1, 1, 2, 3 ]",
"[ 0 ]",
"\"data\": [ 0, 0, 128, 62, 0, 0, 128, 62, 0, 0, 128, 62 ]"){}
};
struct PreluDynamicTensorFixture : PreluFixture
{
PreluDynamicTensorFixture() : PreluFixture("[ 2, 3 ]",
"[ 1, 1 ]",
"[]",
"[ 0 ]",
"\"data\": [ 0, 0, 128, 62 ]") {}
};
TEST_CASE_FIXTURE(SimplePreluFixture, "SimplePrelu")
{
RunTest<2, armnn::DataType::Float32>(
0,
{{"input0", { -14.f, 2.f, 0.f, 1.f, -5.f, 14.f }},{"input1", { 0.25f }}},
{{"output", { -3.5f, 2.f, 0.f, 1.f, -1.25f, 14.f }}});
}
TEST_CASE_FIXTURE(PreluConstAlphaFixture, "PreluConstAlpha")
{
RunTest<3, armnn::DataType::Float32>(
0,
{{"input0", { -14.f, 2.f, 0.f, 1.f, -5.f, 14.f }}},
{{"output", { -3.5f, 2.f, 0.f, 1.f, -1.25f, 14.f }}});
}
TEST_CASE_FIXTURE(PreluBroadcastAlphaFixture, "PreluBroadcastAlpha")
{
RunTest<4, armnn::DataType::Float32>(
0,
{{"input0", { -14.f, 2.f, 0.f, 1.f, -5.f, 14.f }}},
{{"output", { -3.5f, 2.f, 0.f, 1.f, -1.25f, 14.f }}});
}
TEST_CASE_FIXTURE(PreluDynamicTensorFixture, "PreluDynamicTensor")
{
RunTest<2, armnn::DataType::Float32, armnn::DataType::Float32>(
0,
{{"input0", { -14.f, 2.f, 0.f, 1.f, -5.f, 14.f }}},
{{"output", { -3.5f, 2.f, 0.f, 1.f, -1.25f, 14.f }}},
true);
}
TEST_CASE_FIXTURE(PreluNetworkFixture, "PreluNetwork")
{
RunTest<3, armnn::DataType::Float32>(
0,
{{"input0", { -14.f, 2.f, 0.f, 1.f, -5.f, 14.f }}},
{{"output", { -21.f, 12.f, 0.f, 6.f, -7.5f, 84.f }}});
}
}