| // |
| // Copyright © 2017 Arm Ltd and Contributors. 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); |
| } |
| |
| } |