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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ParserFlatbuffersFixture.hpp"
#include "../TfLiteParser.hpp"
#include <sstream>
using armnnTfLiteParser::TfLiteParserImpl;
TEST_SUITE("TensorflowLiteParser_GetBuffer")
{
struct GetBufferFixture : public ParserFlatbuffersFixture
{
explicit GetBufferFixture()
{
m_JsonString = R"(
{
"version": 3,
"operator_codes": [ { "builtin_code": "CONV_2D" } ],
"subgraphs": [ {
"tensors": [
{
"shape": [ 1, 3, 3, 1 ],
"type": "UINT8",
"buffer": 0,
"name": "inputTensor",
"quantization": {
"min": [ 0.0 ],
"max": [ 255.0 ],
"scale": [ 1.0 ],
"zero_point": [ 0 ],
}
},
{
"shape": [ 1, 1, 1, 1 ],
"type": "UINT8",
"buffer": 1,
"name": "outputTensor",
"quantization": {
"min": [ 0.0 ],
"max": [ 511.0 ],
"scale": [ 2.0 ],
"zero_point": [ 0 ],
}
},
{
"shape": [ 1, 3, 3, 1 ],
"type": "UINT8",
"buffer": 2,
"name": "filterTensor",
"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": "Conv2DOptions",
"builtin_options": {
"padding": "VALID",
"stride_w": 1,
"stride_h": 1,
"fused_activation_function": "NONE"
},
"custom_options_format": "FLEXBUFFERS"
}
],
} ],
"buffers" : [
{ },
{ },
{ "data": [ 2,1,0, 6,2,1, 4,1,2 ], },
{ },
]
}
)";
ReadStringToBinary();
}
void CheckBufferContents(const TfLiteParserImpl::ModelPtr& model,
std::vector<int32_t> bufferValues, size_t bufferIndex)
{
for(long unsigned int i=0; i<bufferValues.size(); i++)
{
CHECK_EQ(TfLiteParserImpl::GetBuffer(model, bufferIndex)->data[i], bufferValues[i]);
}
}
};
TEST_CASE_FIXTURE(GetBufferFixture, "GetBufferCheckContents")
{
//Check contents of buffer are correct
TfLiteParserImpl::ModelPtr model = TfLiteParserImpl::LoadModelFromBinary(m_GraphBinary.data(),
m_GraphBinary.size());
std::vector<int32_t> bufferValues = {2,1,0,6,2,1,4,1,2};
CheckBufferContents(model, bufferValues, 2);
}
TEST_CASE_FIXTURE(GetBufferFixture, "GetBufferCheckEmpty")
{
//Check if test fixture buffers are empty or not
TfLiteParserImpl::ModelPtr model = TfLiteParserImpl::LoadModelFromBinary(m_GraphBinary.data(),
m_GraphBinary.size());
CHECK(TfLiteParserImpl::GetBuffer(model, 0)->data.empty());
CHECK(TfLiteParserImpl::GetBuffer(model, 1)->data.empty());
CHECK(!TfLiteParserImpl::GetBuffer(model, 2)->data.empty());
CHECK(TfLiteParserImpl::GetBuffer(model, 3)->data.empty());
}
TEST_CASE_FIXTURE(GetBufferFixture, "GetBufferCheckParseException")
{
//Check if armnn::ParseException thrown when invalid buffer index used
TfLiteParserImpl::ModelPtr model = TfLiteParserImpl::LoadModelFromBinary(m_GraphBinary.data(),
m_GraphBinary.size());
CHECK_THROWS_AS(TfLiteParserImpl::GetBuffer(model, 4), armnn::Exception);
}
}
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