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Diffstat (limited to 'src/armnnTfLiteParser/test/Power.cpp')
| -rw-r--r-- | src/armnnTfLiteParser/test/Power.cpp | 101 |
1 files changed, 101 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/test/Power.cpp b/src/armnnTfLiteParser/test/Power.cpp new file mode 100644 index 0000000000..f8b354a2d2 --- /dev/null +++ b/src/armnnTfLiteParser/test/Power.cpp @@ -0,0 +1,101 @@ +// +// Copyright © 2023 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ParserFlatbuffersFixture.hpp" + +#include <doctest/doctest.h> + + +TEST_SUITE("TensorflowLiteParser_Power") +{ + struct PowerFixture : public ParserFlatbuffersFixture + { + explicit PowerFixture(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": "POW" } ], + "subgraphs": [ { + "tensors": [ + { + "shape": )" + inputShape1 + R"(, + "type": "UINT8", + "buffer": 0, + "name": "inputTensor1", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + }, + { + "shape": )" + inputShape2 + R"(, + "type": "UINT8", + "buffer": 1, + "name": "inputTensor2", + "quantization": { + "min": [ 0.0 ], + "max": [ 255.0 ], + "scale": [ 1.0 ], + "zero_point": [ 0 ], + } + }, + { + "shape": )" + outputShape + R"( , + "type": "UINT8", + "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 ], + "custom_options_format": "FLEXBUFFERS" + } + ], + } ], + "buffers" : [ + { }, + { } + ] + } + )"; + Setup(); + } + }; + + + struct SimplePowerFixture : PowerFixture + { + SimplePowerFixture() : PowerFixture("[ 2, 2 ]", + "[ 2, 2 ]", + "[ 2, 2 ]") {} + }; + + TEST_CASE_FIXTURE(SimplePowerFixture, "SimplePower") + { + RunTest<2, armnn::DataType::QAsymmU8>( + 0, + {{"inputTensor1", { 0, 1, 2, 3 }}, + {"inputTensor2", { 4, 5, 6, 3 }}}, + {{"outputTensor", { 0, 1, 64, 27 }}}); + } + +}
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