Creating gh-pages documentation for ArmNN

Signed-off-by: Jim Flynn <jim.flynn@arm.com>

1 files changed, 0 insertions, 239 deletions

diff --git a/src/armnnTfLiteParser/test/GetInputsOutputs.cpp b/src/armnnTfLiteParser/test/GetInputsOutputs.cpp
deleted file mode 100644
index 824797890d..0000000000
--- a/src/armnnTfLiteParser/test/GetInputsOutputs.cpp
+++ /dev/null
@@ -1,239 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#include <boost/test/unit_test.hpp>
-#include "ParserFlatbuffersFixture.hpp"
-#include "../TfLiteParser.hpp"
-
-using armnnTfLiteParser::TfLiteParser;
-using ModelPtr = TfLiteParser::ModelPtr;
-
-BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
-
-struct GetInputsOutputsMainFixture : public ParserFlatbuffersFixture
-{
-    explicit GetInputsOutputsMainFixture(const std::string& inputs, const std::string& outputs)
-    {
-        m_JsonString = R"(
-        {
-            "version": 3,
-            "operator_codes": [ { "builtin_code": "AVERAGE_POOL_2D" }, { "builtin_code": "CONV_2D" } ],
-            "subgraphs": [
-            {
-                "tensors": [
-                {
-                    "shape": [ 1, 1, 1, 1 ] ,
-                    "type": "UINT8",
-                            "buffer": 0,
-                            "name": "OutputTensor",
-                            "quantization": {
-                                "min": [ 0.0 ],
-                                "max": [ 255.0 ],
-                                "scale": [ 1.0 ],
-                                "zero_point": [ 0 ]
-                            }
-                },
-                {
-                    "shape": [ 1, 2, 2, 1 ] ,
-                    "type": "UINT8",
-                            "buffer": 1,
-                            "name": "InputTensor",
-                            "quantization": {
-                                "min": [ -1.2 ],
-                                "max": [ 25.5 ],
-                                "scale": [ 0.25 ],
-                                "zero_point": [ 10 ]
-                            }
-                }
-                ],
-                "inputs": [ 1 ],
-                "outputs": [ 0 ],
-                "operators": [ {
-                        "opcode_index": 0,
-                        "inputs":  )"
-                            + inputs
-                            + R"(,
-                        "outputs": )"
-                            + outputs
-                            + R"(,
-                        "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"
-                    } ]
-                },
-                {
-                    "tensors": [
-                        {
-                            "shape": [ 1, 3, 3, 1 ],
-                            "type": "UINT8",
-                            "buffer": 0,
-                            "name": "ConvInputTensor",
-                            "quantization": {
-                                "scale": [ 1.0 ],
-                                "zero_point": [ 0 ],
-                            }
-                        },
-                        {
-                            "shape": [ 1, 1, 1, 1 ],
-                            "type": "UINT8",
-                            "buffer": 1,
-                            "name": "ConvOutputTensor",
-                            "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"
-                        }
-                    ],
-                }
-            ],
-            "description": "Test Subgraph Inputs Outputs",
-            "buffers" : [
-                    { },
-                    { },
-                    { "data": [ 2,1,0, 6,2,1, 4,1,2 ], },
-                    { },
-                ]
-        })";
-
-        ReadStringToBinary();
-    }
-
-};
-
-struct GetEmptyInputsOutputsFixture : GetInputsOutputsMainFixture
-{
-    GetEmptyInputsOutputsFixture() : GetInputsOutputsMainFixture("[ ]", "[ ]") {}
-};
-
-struct GetInputsOutputsFixture : GetInputsOutputsMainFixture
-{
-    GetInputsOutputsFixture() : GetInputsOutputsMainFixture("[ 1 ]", "[ 0 ]") {}
-};
-
-BOOST_FIXTURE_TEST_CASE(GetEmptyInputs, GetEmptyInputsOutputsFixture)
-{
-    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
-    TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetInputs(model, 0, 0);
-    BOOST_CHECK_EQUAL(0, tensors.size());
-}
-
-BOOST_FIXTURE_TEST_CASE(GetEmptyOutputs, GetEmptyInputsOutputsFixture)
-{
-    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
-    TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetOutputs(model, 0, 0);
-    BOOST_CHECK_EQUAL(0, tensors.size());
-}
-
-BOOST_FIXTURE_TEST_CASE(GetInputs, GetInputsOutputsFixture)
-{
-    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
-    TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetInputs(model, 0, 0);
-    BOOST_CHECK_EQUAL(1, tensors.size());
-    CheckTensors(tensors[0], 4, { 1, 2, 2, 1 }, tflite::TensorType::TensorType_UINT8, 1,
-                      "InputTensor", { -1.2f }, { 25.5f }, { 0.25f }, { 10 });
-}
-
-BOOST_FIXTURE_TEST_CASE(GetOutputs, GetInputsOutputsFixture)
-{
-    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
-    TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetOutputs(model, 0, 0);
-    BOOST_CHECK_EQUAL(1, tensors.size());
-    CheckTensors(tensors[0], 4, { 1, 1, 1, 1 }, tflite::TensorType::TensorType_UINT8, 0,
-                      "OutputTensor", { 0.0f }, { 255.0f }, { 1.0f }, { 0 });
-}
-
-BOOST_FIXTURE_TEST_CASE(GetInputsMultipleInputs, GetInputsOutputsFixture)
-{
-    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
-    TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetInputs(model, 1, 0);
-    BOOST_CHECK_EQUAL(2, tensors.size());
-    CheckTensors(tensors[0], 4, { 1, 3, 3, 1 }, tflite::TensorType::TensorType_UINT8, 0,
-                      "ConvInputTensor", { }, { }, { 1.0f }, { 0 });
-    CheckTensors(tensors[1], 4, { 1, 3, 3, 1 }, tflite::TensorType::TensorType_UINT8, 2,
-                      "filterTensor", { 0.0f }, { 255.0f }, { 1.0f }, { 0 });
-}
-
-BOOST_FIXTURE_TEST_CASE(GetOutputs2, GetInputsOutputsFixture)
-{
-    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
-    TfLiteParser::TensorRawPtrVector tensors = TfLiteParser::GetOutputs(model, 1, 0);
-    BOOST_CHECK_EQUAL(1, tensors.size());
-    CheckTensors(tensors[0], 4, { 1, 1, 1, 1 }, tflite::TensorType::TensorType_UINT8, 1,
-                      "ConvOutputTensor", { 0.0f }, { 511.0f }, { 2.0f }, { 0 });
-}
-
-BOOST_AUTO_TEST_CASE(GetInputsNullModel)
-{
-    BOOST_CHECK_THROW(TfLiteParser::GetInputs(nullptr, 0, 0), armnn::ParseException);
-}
-
-BOOST_AUTO_TEST_CASE(GetOutputsNullModel)
-{
-    BOOST_CHECK_THROW(TfLiteParser::GetOutputs(nullptr, 0, 0), armnn::ParseException);
-}
-
-BOOST_FIXTURE_TEST_CASE(GetInputsInvalidSubgraph, GetInputsOutputsFixture)
-{
-    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
-    BOOST_CHECK_THROW(TfLiteParser::GetInputs(model, 2, 0), armnn::ParseException);
-}
-
-BOOST_FIXTURE_TEST_CASE(GetOutputsInvalidSubgraph, GetInputsOutputsFixture)
-{
-    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
-    BOOST_CHECK_THROW(TfLiteParser::GetOutputs(model, 2, 0), armnn::ParseException);
-}
-
-BOOST_FIXTURE_TEST_CASE(GetInputsInvalidOperator, GetInputsOutputsFixture)
-{
-    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
-    BOOST_CHECK_THROW(TfLiteParser::GetInputs(model, 0, 1), armnn::ParseException);
-}
-
-BOOST_FIXTURE_TEST_CASE(GetOutputsInvalidOperator, GetInputsOutputsFixture)
-{
-    TfLiteParser::ModelPtr model = TfLiteParser::LoadModelFromBinary(m_GraphBinary.data(), m_GraphBinary.size());
-    BOOST_CHECK_THROW(TfLiteParser::GetOutputs(model, 0, 1), armnn::ParseException);
-}
-
-BOOST_AUTO_TEST_SUITE_END()
\ No newline at end of file