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//
// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "armnnTfLiteParser/ITfLiteParser.hpp"
#include "ParserFlatbuffersFixture.hpp"
#include <string>
#include <boost/test/unit_test.hpp>
BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
struct LoadScopeDynamicTensorFixture : public ParserFlatbuffersFixture
{
explicit LoadScopeDynamicTensorFixture(const std::string& shape0,
const std::string& shape1,
const std::string& shape2)
{
m_JsonString = R"(
{
"version": 3,
"operator_codes": [
{
"builtin_code": "AVERAGE_POOL_2D",
"version": 1
},
{
"builtin_code": "SOFTMAX",
"version": 1
}
],
"subgraphs": [
{
"tensors": [
{
"shape": )" + shape0 + R"(,
"type": "FLOAT32",
"buffer": 1,
"name": "input0",
"quantization": {
"details_type": 0,
"quantized_dimension": 0
},
"is_variable": false
},
{
"shape": )" + shape1 + R"(,
"type": "FLOAT32",
"buffer": 3,
"name": "output",
"quantization": {
"details_type": 0,
"quantized_dimension": 0
},
"is_variable": false
},
{
"shape": )" + shape2 + R"(,
"type": "FLOAT32",
"buffer": 2,
"name": "model/average_pooling2d/AvgPool",
"quantization": {
"details_type": 0,
"quantized_dimension": 0
},
"is_variable": false
}
],
"inputs": [
0
],
"outputs": [
1
],
"operators": [
{
"opcode_index": 1,
"inputs": [
2
],
"outputs": [
1
],
"builtin_options_type": "SoftmaxOptions",
"builtin_options": {
"beta": 1.0
},
"custom_options_format": "FLEXBUFFERS"
},
{
"opcode_index": 0,
"inputs": [
0
],
"outputs": [
2
],
"builtin_options_type": "Pool2DOptions",
"builtin_options": {
"padding": "VALID",
"stride_w": 2,
"stride_h": 2,
"filter_width": 2,
"filter_height": 2,
"fused_activation_function": "NONE"
},
"custom_options_format": "FLEXBUFFERS"
}
],
"name": "main"
}
],
"description": "MLIR Converted.",
"buffers": [
{
},
{
},
{
},
{
}
]
}
)";
Setup();
}
};
struct LoadScopeDynamicTensor0Fixture : LoadScopeDynamicTensorFixture
{
LoadScopeDynamicTensor0Fixture() : LoadScopeDynamicTensorFixture("[ 1, 2, 3, 2 ]", "[]", "[]") {}
};
struct LoadScopeDynamicTensor1Fixture : LoadScopeDynamicTensorFixture
{
LoadScopeDynamicTensor1Fixture() : LoadScopeDynamicTensorFixture("[ 1, 2, 4, 1 ]", "[ 1, 1, 2, 1 ]", "[]") {}
};
struct LoadScopeDynamicTensor2Fixture : LoadScopeDynamicTensorFixture
{
LoadScopeDynamicTensor2Fixture() : LoadScopeDynamicTensorFixture("[ 1, 3, 3, 2 ]", "[ ]", "[ 1, 1, 1, 2 ]") {}
};
BOOST_FIXTURE_TEST_CASE(LoadScopeDynamicTensor0, LoadScopeDynamicTensor0Fixture)
{
RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32>(
0,
{ {"input0", { 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f }} },
{ {"output", { 0.26894143f, 0.7310586f }} },
true);
}
BOOST_FIXTURE_TEST_CASE(LoadScopeDynamicTensor1, LoadScopeDynamicTensor1Fixture)
{
RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32>(
0,
{ {"input0", { 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f }} },
{ {"output", { 1.f, 1.f }} },
true);
}
BOOST_FIXTURE_TEST_CASE(LoadScopeDynamicTensor2, LoadScopeDynamicTensor2Fixture)
{
RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32>(
0,
{ {"input0", { 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f }} },
{ {"output", { 0.7772999f, 0.22270015f }} },
true);
}
BOOST_AUTO_TEST_SUITE_END()
|
