diff options
author | Darshan Patel <darsh.jp@gmail.com> | 2020-05-25 22:30:07 +0530 |
---|---|---|
committer | TeresaARM <teresa.charlinreyes@arm.com> | 2020-05-25 20:23:00 +0000 |
commit | 42b3d7da750ab6ad39ea228985f422685f89eb45 (patch) | |
tree | 655790cf2ec8f0ea6d0b2864a66a95a8a9fddbd9 /src/armnnTfLiteParser/test | |
parent | ecb6b8e2ef33daf7b5cd6b61cdea5c6339cf9c51 (diff) | |
download | armnn-42b3d7da750ab6ad39ea228985f422685f89eb45.tar.gz |
Add DIV support to TFLite parser
* Added unit tests
* Updated Documentation
Signed-off-by: Darshan Patel <darsh.jp@gmail.com>
Change-Id: Iadb5c76139d74d755d7f4be4b023b4417efe1e92
Diffstat (limited to 'src/armnnTfLiteParser/test')
-rw-r--r-- | src/armnnTfLiteParser/test/Div.cpp | 115 |
1 files changed, 115 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/test/Div.cpp b/src/armnnTfLiteParser/test/Div.cpp new file mode 100644 index 0000000000..f83e455a56 --- /dev/null +++ b/src/armnnTfLiteParser/test/Div.cpp @@ -0,0 +1,115 @@ +// +// Copyright © 2020 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include <boost/test/unit_test.hpp> +#include "ParserFlatbuffersFixture.hpp" +#include "../TfLiteParser.hpp" + +#include <string> +#include <iostream> + +BOOST_AUTO_TEST_SUITE(TensorflowLiteParser) + +struct DivFixture : public ParserFlatbuffersFixture +{ + explicit DivFixture(const std::string & inputShape1, + const std::string & inputShape2, + const std::string & outputShape, + const std::string & activation="NONE") + { + m_JsonString = R"( + { + "version": 3, + "operator_codes": [ { "builtin_code": "DIV" } ], + "subgraphs": [ { + "tensors": [ + { + "shape": )" + inputShape1 + R"(, + "type": "FLOAT32", + "buffer": 0, + "name": "inputTensor1", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + }, + { + "shape": )" + inputShape2 + R"(, + "type": "FLOAT32", + "buffer": 1, + "name": "inputTensor2", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + }, + { + "shape": )" + outputShape + R"( , + "type": "FLOAT32", + "buffer": 2, + "name": "outputTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + } + ], + "inputs": [ 0, 1 ], + "outputs": [ 2 ], + "operators": [ + { + "opcode_index": 0, + "inputs": [ 0, 1 ], + "outputs": [ 2 ], + "builtin_options_type": "DivOptions", + "builtin_options": { + "fused_activation_function": )" + activation + R"( + }, + "custom_options_format": "FLEXBUFFERS" + } + ], + } ], + "buffers" : [ + { }, + { } + ] + } + )"; + Setup(); + } +}; + +struct SimpleDivFixture : public DivFixture +{ + SimpleDivFixture() : DivFixture("[ 1, 2, 2, 3 ]", "[ 1, 2, 2, 3 ]", "[ 1, 2, 2, 3 ]") {} +}; + +BOOST_FIXTURE_TEST_CASE(ParseDiv, SimpleDivFixture) +{ + using armnn::DataType; + float Inf = std::numeric_limits<float>::infinity(); + float NaN = std::numeric_limits<float>::quiet_NaN(); + + RunTest<4, DataType::Float32>(0, {{ "inputTensor1", { 0.0f, 1.0f, 2.0f, + 3.0f, 4.0f, 5.0f, + 6.0f, 7.0f, 8.0f, + 9.0f, 10.0f, -11.0f } }, + { "inputTensor2", { 0.0f, 0.0f, 4.0f, + 3.0f, 40.0f, 5.0f, + 6.0f, 7.0f, 8.0f, + 9.0f, 10.0f, 11.0f} } }, + {{ "outputTensor", { NaN, Inf, 0.5f, + 1.0f, 0.1f, 1.0f, + 1.0f, 1.0f, 1.0f, + 1.0f, 1.0f, -1.0f } } }); +} + +BOOST_AUTO_TEST_SUITE_END() |