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Diffstat (limited to 'src/armnnTfLiteParser/test/FloorDiv.cpp')
| -rw-r--r-- | src/armnnTfLiteParser/test/FloorDiv.cpp | 185 |
1 files changed, 185 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/test/FloorDiv.cpp b/src/armnnTfLiteParser/test/FloorDiv.cpp new file mode 100644 index 0000000000..dfd7b14bf4 --- /dev/null +++ b/src/armnnTfLiteParser/test/FloorDiv.cpp @@ -0,0 +1,185 @@ +// +// Copyright © 2022 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ParserFlatbuffersFixture.hpp" + + +TEST_SUITE("TensorflowLiteParser_Div") +{ +struct FloorDivFixture : public ParserFlatbuffersFixture +{ + explicit FloorDivFixture(const std::string& inputShape1, + const std::string& inputShape2, + const std::string& outputShape, + const std::string& inputShapeSignature1, + const std::string& inputShapeSignature2, + const std::string& outputShapeSignature) + { + m_JsonString = R"( + { + "version": 3, + "operator_codes": [ + { + "deprecated_builtin_code": 90, + "version": 2, + "builtin_code": "FLOOR_DIV" + } + ], + "subgraphs": [ + { + "tensors": [ + { + "shape": )" + inputShape1 + R"(, + "type": "FLOAT32", + "buffer": 1, + "name": "inputTensor1", + "quantization": { + "details_type": "NONE", + "quantized_dimension": 0 + }, + "is_variable": false, + "shape_signature": )" + inputShapeSignature1 + R"(, + }, + { + "shape": )" + inputShape2 + R"(, + "type": "FLOAT32", + "buffer": 2, + "name": "inputTensor2", + "quantization": { + "details_type": "NONE", + "quantized_dimension": 0 + }, + "is_variable": false, + "shape_signature": )" + inputShapeSignature2 + R"(, + }, + { + "shape": )" + outputShape + R"(, + "type": "FLOAT32", + "buffer": 3, + "name": "outputTensor", + "quantization": { + "details_type": "NONE", + "quantized_dimension": 0 + }, + "is_variable": false, + "shape_signature": )" + outputShapeSignature + R"(, + } + ], + "inputs": [ + 0, + 1 + ], + "outputs": [ + 2 + ], + "operators": [ + { + "opcode_index": 0, + "inputs": [ + 0, + 1 + ], + "outputs": [ + 2 + ], + "builtin_options_type": "NONE", + "custom_options_format": "FLEXBUFFERS" + } + ], + "name": "main" + } + ], + "description": "MLIR Converted.", + "buffers": [ {}, {}, {}, {}, + { + "data": [ + 49, + 46, + 49, + 52, + 46, + 48, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0 + ] + } + ], + "metadata": [ + { + "name": "min_runtime_version", + "buffer": 4 + } + ], + "signature_defs": [ + + ] + } + )"; + Setup(); + } +}; + +struct SimpleFloorDivFixture : public FloorDivFixture +{ + SimpleFloorDivFixture() : FloorDivFixture("[ 1, 3, 4 ]", "[ 1, 3, 4 ]", "[ 1, 3, 4 ]", + "[ -1, 3, 4 ]", "[ -1, 3, 4 ]", "[ -1, 3, 4 ]") {} +}; + +TEST_CASE_FIXTURE(SimpleFloorDivFixture, "ParseFloorDiv") +{ + using armnn::DataType; + float Inf = std::numeric_limits<float>::infinity(); + float NaN = std::numeric_limits<float>::quiet_NaN(); + + RunTest<3, 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, 2.0f, 8.0f, + 9.0f, 10.0f, 11.0f} } }, + {{ "outputTensor", { NaN, Inf, 0.0f, + 1.0f, 0.0f, 1.0f, + 1.0f, -4.0f, 1.0f, + 1.0f, 1.0f, -1.0f } } }); +} + + +struct DynamicFloorDivFixture : public FloorDivFixture +{ + DynamicFloorDivFixture() : FloorDivFixture("[ 1, 3, 4 ]", "[ 1, 3, 4 ]", "[ 1, 3, 4 ]", + "[ -1, 3, 4 ]", "[ -1, 3, 4 ]", "[ -1, 3, 4 ]") {} +}; + +TEST_CASE_FIXTURE(DynamicFloorDivFixture, "ParseDynamicFloorDiv") +{ + using armnn::DataType; + float Inf = std::numeric_limits<float>::infinity(); + float NaN = std::numeric_limits<float>::quiet_NaN(); + + RunTest<3, DataType::Float32, 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, 2.0f, 8.0f, + 9.0f, 10.0f, 11.0f} } }, + {{ "outputTensor", { NaN, Inf, 0.0f, + 1.0f, 0.0f, 1.0f, + 1.0f, -4.0f, 1.0f, + 1.0f, 1.0f, -1.0f } } }, true); +} + +} |