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| author | Sadik Armagan <sadik.armagan@arm.com> | 2021-02-09 10:28:54 +0000 |
|---|---|---|
| committer | Sadik Armagan <sadik.armagan@arm.com> | 2021-02-09 10:31:14 +0000 |
| commit | a2747487fbe7eb6d9f5357c6d16c32355ed6e01c (patch) | |
| tree | 6f6f8b38100d16f1ec8a0e5be71e8e6ae1cc600a /src/armnnTfLiteParser/test/Reduce.cpp | |
| parent | ac001eebca101f2df4973d2f1d8cfca026e07419 (diff) | |
| download | armnn-a2747487fbe7eb6d9f5357c6d16c32355ed6e01c.tar.gz | |
MLCE-347 'REDUCE_MIN, REDUCE_MAX, REDUCE_SUM Support'
* Added TfLiteParser support for REDUCE_MIN and REDUCE_MAX operators
* Added ACL workloads support for REDUCE_MIN, REDUCE_MAX, and REDUCE_SUM operators
* Added TfLite Delegate support for REDUCE_MIN, REDUCE_MAX, and REDUCE_SUM operators
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I8085d59946bfd4ab78a59a61f899031ae53371a8
Diffstat (limited to 'src/armnnTfLiteParser/test/Reduce.cpp')
| -rw-r--r-- | src/armnnTfLiteParser/test/Reduce.cpp | 193 |
1 files changed, 193 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/test/Reduce.cpp b/src/armnnTfLiteParser/test/Reduce.cpp new file mode 100644 index 0000000000..622d54e8b5 --- /dev/null +++ b/src/armnnTfLiteParser/test/Reduce.cpp @@ -0,0 +1,193 @@ +// +// Copyright © 2021 Arm Ltd and Contributors. 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 ReduceMaxFixture : public ParserFlatbuffersFixture +{ + explicit ReduceMaxFixture(const std::string& inputShape, + const std::string& outputShape, + const std::string& axisShape, + const std::string& axisData) + { + m_JsonString = R"( + { + "version": 3, + "operator_codes": [ { "builtin_code": "REDUCE_MAX" } ], + "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": )" + axisShape + R"( , + "type": "INT32", + "buffer": 2, + "name": "axis", + "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": "ReducerOptions", + "builtin_options": { + "keep_dims": true, + }, + "custom_options_format": "FLEXBUFFERS" + } + ], + } ], + "buffers" : [ + { }, + { }, + { "data": )" + axisData + R"(, }, + ] + } + )"; + SetupSingleInputSingleOutput("inputTensor", "outputTensor"); + } +}; + +struct SimpleReduceMaxFixture : public ReduceMaxFixture +{ + SimpleReduceMaxFixture() : ReduceMaxFixture("[ 1, 1, 2, 3 ]", "[ 1, 1, 1, 3 ]", "[ 1 ]", "[ 2 ]") {} +}; + +BOOST_FIXTURE_TEST_CASE(ParseReduceMax, SimpleReduceMaxFixture) +{ + RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32> + (0, {{ "inputTensor", { 1001.0f, 11.0f, 1003.0f, + 10.0f, 1002.0f, 12.0f } } }, + {{ "outputTensor", { 1001.0f, 1002.0f, 1003.0f } } }); +} + +struct ReduceMinFixture : public ParserFlatbuffersFixture +{ + explicit ReduceMinFixture(const std::string& inputShape, + const std::string& outputShape, + const std::string& axisShape, + const std::string& axisData) + { + m_JsonString = R"( + { + "version": 3, + "operator_codes": [ { "builtin_code": "REDUCE_MIN" } ], + "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": )" + axisShape + R"( , + "type": "INT32", + "buffer": 2, + "name": "axis", + "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": "ReducerOptions", + "builtin_options": { + "keep_dims": true, + }, + "custom_options_format": "FLEXBUFFERS" + } + ], + } ], + "buffers" : [ + { }, + { }, + { "data": )" + axisData + R"(, }, + ] + } + )"; + SetupSingleInputSingleOutput("inputTensor", "outputTensor"); + } +}; + +struct SimpleReduceMinFixture : public ReduceMinFixture +{ + SimpleReduceMinFixture() : ReduceMinFixture("[ 1, 1, 2, 3 ]", "[ 1, 1, 1, 3 ]", "[ 1 ]", "[ 2 ]") {} +}; + +BOOST_FIXTURE_TEST_CASE(ParseReduceMin, SimpleReduceMinFixture) +{ + RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32> + (0, {{ "inputTensor", { 1001.0f, 11.0f, 1003.0f, + 10.0f, 1002.0f, 12.0f } } }, + {{ "outputTensor", { 10.0f, 11.0f, 12.0f } } }); +} + +BOOST_AUTO_TEST_SUITE_END() |