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Diffstat (limited to 'src/armnnTfLiteParser/test')
-rw-r--r-- | src/armnnTfLiteParser/test/BatchToSpaceND.cpp | 170 |
1 files changed, 170 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/test/BatchToSpaceND.cpp b/src/armnnTfLiteParser/test/BatchToSpaceND.cpp new file mode 100644 index 0000000000..97f1828335 --- /dev/null +++ b/src/armnnTfLiteParser/test/BatchToSpaceND.cpp @@ -0,0 +1,170 @@ +// +// Copyright © 2017 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 BatchToSpaceNDFixture : public ParserFlatbuffersFixture +{ + explicit BatchToSpaceNDFixture(const std::string & inputShape, + const std::string & outputShape, + const std::string & blockShapeData, + const std::string & cropsData) + { + m_JsonString = R"( + { + "version": 3, + "operator_codes": [ { "builtin_code": "BATCH_TO_SPACE_ND" } ], + "subgraphs": [ { + "tensors": [ + { + "shape": )" + inputShape + R"(, + "type": "FLOAT32", + "buffer": 0, + "name": "inputTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + }, + { + "shape": )" + outputShape + R"(, + "type": "FLOAT32", + "buffer": 1, + "name": "outputTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + }, + { + "shape": [ 2 ], + "type": "INT32", + "buffer": 2, + "name": "blockShapeTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + }, + { + "shape": [ 2, 2 ], + "type": "INT32", + "buffer": 3, + "name": "cropsTensor", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + } + ], + "inputs": [ 0 ], + "outputs": [ 1 ], + "operators": [ + { + "opcode_index": 0, + "inputs": [ 0, 2, 3 ], + "outputs": [ 1 ], + "custom_options_format": "FLEXBUFFERS" + } + ], + } ], + "buffers" : [ + { }, + { }, + { "data": )" + blockShapeData + R"(, }, + { "data": )" + cropsData + R"(, }, + ] + } + )"; + Setup(); + } +}; + +struct BatchToSpaceNDFixtureTest1 : public BatchToSpaceNDFixture +{ + BatchToSpaceNDFixtureTest1() : BatchToSpaceNDFixture("[ 4, 2, 2, 1 ]", + "[ 1, 4, 4, 1 ]", + "[ 2,0,0,0, 2,0,0,0 ]", + "[ 0,0,0,0, 0,0,0,0, 0,0,0,0, 0,0,0,0 ]") {} +}; + +BOOST_FIXTURE_TEST_CASE(BatchToSpaceNDTest1, BatchToSpaceNDFixtureTest1) +{ + RunTest<4, armnn::DataType::Float32> + (0, + {{ "inputTensor", { // Batch 0, Height 0, Width (2) x Channel (1) + 1.0f, 3.0f, + // Batch 0, Height 1, Width (2) x Channel (1) + 9.0f, 11.0f, + + // Batch 1, Height 0, Width (2) x Channel (1) + 2.0f, 4.0f, + // Batch 1, Height 1, Width (2) x Channel (1) + 10.0f, 12.0f, + + // Batch 2, Height 0, Width (2) x Channel (1) + 5.0f, 7.0f, + // Batch 2, Height 1, Width (2) x Channel (1) + 13.0f, 15.0f, + + // Batch 3, Height 0, Width (2) x Channel (3) + 6.0f, 8.0f, + // Batch 3, Height 1, Width (2) x Channel (1) + 14.0f, 16.0f }}}, + {{ "outputTensor", { 1.0f, 2.0f, 3.0f, 4.0f, + 5.0f, 6.0f, 7.0f, 8.0f, + 9.0f, 10.0f, 11.0f, 12.0f, + 13.0f, 14.0f, 15.0f, 16.0f }}}); +} + +struct BatchToSpaceNDFixtureTest2 : public BatchToSpaceNDFixture +{ + BatchToSpaceNDFixtureTest2() : BatchToSpaceNDFixture("[ 4, 1, 1, 1 ]", + "[ 1, 2, 2, 1 ]", + "[ 2,0,0,0, 2,0,0,0 ]", + "[ 0,0,0,0, 0,0,0,0, 0,0,0,0, 0,0,0,0 ]") {} +}; + +BOOST_FIXTURE_TEST_CASE(ParseBatchToSpaceNDTest2, BatchToSpaceNDFixtureTest2) +{ + RunTest<4, armnn::DataType::Float32> + (0, + {{ "inputTensor", { 1.0f, 2.0f, 3.0f, 4.0f }}}, + {{ "outputTensor", { // Batch 0, Height 0, Width (2) x Channel (1) + 1.0f, 2.0f, 3.0f, 4.0f }}}); +} + +struct BatchToSpaceNDFixtureTest3 : public BatchToSpaceNDFixture +{ + BatchToSpaceNDFixtureTest3() : BatchToSpaceNDFixture("[ 4, 1, 1, 3 ]", + "[ 1, 2, 2, 3 ]", + "[ 2,0,0,0, 2,0,0,0 ]", + "[ 0,0,0,0, 0,0,0,0, 0,0,0,0, 0,0,0,0 ]") {} +}; + +BOOST_FIXTURE_TEST_CASE(ParseBatchToSpaceNDTest3, BatchToSpaceNDFixtureTest3) +{ + RunTest<4, armnn::DataType::Float32> + (0, + {{ "inputTensor", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f }}}, + {{ "outputTensor", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f }}}); +} + +BOOST_AUTO_TEST_SUITE_END() |