| // |
| // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ParserFlatbuffersFixture.hpp" |
| |
| |
| TEST_SUITE("TensorflowLiteParser_Minimum") |
| { |
| struct MinimumFixture : public ParserFlatbuffersFixture |
| { |
| explicit MinimumFixture(const std::string & inputShape1, |
| const std::string & inputShape2, |
| const std::string & outputShape) |
| { |
| m_JsonString = R"( |
| { |
| "version": 3, |
| "operator_codes": [ { "builtin_code": "MINIMUM" } ], |
| "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 ], |
| "custom_options_format": "FLEXBUFFERS" |
| } |
| ], |
| } ], |
| "buffers" : [ |
| { }, |
| { } |
| ] |
| } |
| )"; |
| Setup(); |
| } |
| }; |
| |
| |
| struct MinimumFixture4D : MinimumFixture |
| { |
| MinimumFixture4D() : MinimumFixture("[ 1, 2, 2, 3 ]", |
| "[ 1, 2, 2, 3 ]", |
| "[ 1, 2, 2, 3 ]") {} |
| }; |
| |
| TEST_CASE_FIXTURE(MinimumFixture4D, "ParseMinimum4D") |
| { |
| RunTest<4, armnn::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, 0.0f, |
| 5.0f, 5.0f, 5.0f, |
| 7.0f, 7.0f, 7.0f, |
| 9.0f, 9.0f, 9.0f }}}, |
| {{"outputTensor", { 0.0f, 0.0f, 0.0f, |
| 3.0f, 4.0f, 5.0f, |
| 6.0f, 7.0f, 7.0f, |
| 9.0f, 9.0f, 9.0f }}}); |
| } |
| |
| struct MinimumBroadcastFixture4D : MinimumFixture |
| { |
| MinimumBroadcastFixture4D() : MinimumFixture("[ 1, 1, 2, 1 ]", |
| "[ 1, 2, 1, 3 ]", |
| "[ 1, 2, 2, 3 ]") {} |
| }; |
| |
| TEST_CASE_FIXTURE(MinimumBroadcastFixture4D, "ParseMinimumBroadcast4D") |
| { |
| RunTest<4, armnn::DataType::Float32>( |
| 0, |
| {{"inputTensor1", { 2.0f, |
| 4.0f }}, |
| {"inputTensor2", { 1.0f, 2.0f, 3.0f, |
| 4.0f, 5.0f, 6.0f }}}, |
| {{"outputTensor", { 1.0f, 2.0f, 2.0f, |
| 1.0f, 2.0f, 3.0f, |
| 2.0f, 2.0f, 2.0f, |
| 4.0f, 4.0f, 4.0f }}}); |
| } |
| |
| struct MinimumBroadcastFixture4D1D : MinimumFixture |
| { |
| MinimumBroadcastFixture4D1D() : MinimumFixture("[ 1, 2, 2, 3 ]", |
| "[ 1 ]", |
| "[ 1, 2, 2, 3 ]") {} |
| }; |
| |
| TEST_CASE_FIXTURE(MinimumBroadcastFixture4D1D, "ParseMinimumBroadcast4D1D") |
| { |
| RunTest<4, armnn::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", { 5.0f }}}, |
| {{"outputTensor", { 0.0f, 1.0f, 2.0f, |
| 3.0f, 4.0f, 5.0f, |
| 5.0f, 5.0f, 5.0f, |
| 5.0f, 5.0f, 5.0f }}}); |
| } |
| |
| struct MinimumBroadcastFixture1D4D : MinimumFixture |
| { |
| MinimumBroadcastFixture1D4D() : MinimumFixture("[ 3 ]", |
| "[ 1, 2, 2, 3 ]", |
| "[ 1, 2, 2, 3 ]") {} |
| }; |
| |
| TEST_CASE_FIXTURE(MinimumBroadcastFixture1D4D, "ParseMinimumBroadcast1D4D") |
| { |
| RunTest<4, armnn::DataType::Float32>( |
| 0, |
| {{"inputTensor1", { 5.0f, 6.0f, 7.0f }}, |
| {"inputTensor2", { 0.0f, 1.0f, 2.0f, |
| 3.0f, 4.0f, 5.0f, |
| 6.0f, 7.0f, 8.0f, |
| 9.0f, 10.0f, 11.0f }}}, |
| {{"outputTensor", { 0.0f, 1.0f, 2.0f, |
| 3.0f, 4.0f, 5.0f, |
| 5.0f, 6.0f, 7.0f, |
| 5.0f, 6.0f, 7.0f }}}); |
| } |
| |
| struct MinimumBroadcastFixture2D0D : public ParserFlatbuffersFixture |
| { |
| explicit MinimumBroadcastFixture2D0D() |
| { |
| m_JsonString = R"( |
| { |
| "version": 3, |
| "operator_codes": [ { "builtin_code": "MINIMUM" } ], |
| "subgraphs": [ { |
| "tensors": [ |
| { |
| "shape": [ 1, 2 ], |
| "type": "FLOAT32", |
| "buffer": 0, |
| "name": "input0", |
| "quantization": { |
| "min": [ 0.0 ], |
| "max": [ 255.0 ], |
| "scale": [ 1.0 ], |
| "zero_point": [ 0 ], |
| } |
| }, |
| { |
| "shape": [ ], |
| "type": "FLOAT32", |
| "buffer": 2, |
| "name": "input1", |
| "quantization": { |
| "min": [ 0.0 ], |
| "max": [ 255.0 ], |
| "scale": [ 1.0 ], |
| "zero_point": [ 0 ], |
| } |
| }, |
| { |
| "shape": [ 1, 2 ] , |
| "type": "FLOAT32", |
| "buffer": 1, |
| "name": "output", |
| "quantization": { |
| "min": [ 0.0 ], |
| "max": [ 255.0 ], |
| "scale": [ 1.0 ], |
| "zero_point": [ 0 ], |
| } |
| } |
| ], |
| "inputs": [ 0 ], |
| "outputs": [ 2 ], |
| "operators": [ |
| { |
| "opcode_index": 0, |
| "inputs": [ 0, 1 ], |
| "outputs": [ 2 ], |
| "custom_options_format": "FLEXBUFFERS" |
| } |
| ], |
| } ], |
| "buffers" : [ |
| { }, |
| { }, |
| { "data": [ 0, 0, 0, 64 ] } |
| ] |
| } |
| )"; |
| Setup(); |
| } |
| }; |
| |
| TEST_CASE_FIXTURE(MinimumBroadcastFixture2D0D, "ParseMinimumBroadcast2D0D") |
| { |
| RunTest<2, armnn::DataType::Float32>( |
| 0, |
| {{"input0", { 1.0f, 5.0f }}}, |
| {{"output", { 1.0f, 2.0f }}}); |
| } |
| |
| } |