| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include <boost/test/unit_test.hpp> |
| #include "armnnOnnxParser/IOnnxParser.hpp" |
| #include "ParserPrototxtFixture.hpp" |
| |
| BOOST_AUTO_TEST_SUITE(OnnxParser) |
| |
| struct BatchNormalizationMainFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> |
| { |
| BatchNormalizationMainFixture() |
| { |
| m_Prototext = R"( |
| ir_version: 3 |
| producer_name: "CNTK" |
| producer_version: "2.5.1" |
| domain: "ai.cntk" |
| model_version: 1 |
| graph { |
| name: "CNTKGraph" |
| input { |
| name: "Input" |
| type { |
| tensor_type { |
| elem_type: 1 |
| shape { |
| dim { |
| dim_value: 1 |
| } |
| dim { |
| dim_value: 1 |
| } |
| dim { |
| dim_value: 3 |
| } |
| dim { |
| dim_value: 3 |
| } |
| } |
| } |
| } |
| } |
| input { |
| name: "mean" |
| type { |
| tensor_type { |
| elem_type: 1 |
| shape { |
| dim { |
| dim_value: 1 |
| } |
| } |
| } |
| } |
| } |
| input { |
| name: "var" |
| type { |
| tensor_type { |
| elem_type: 1 |
| shape { |
| dim { |
| dim_value: 1 |
| } |
| } |
| } |
| } |
| } |
| input { |
| name: "scale" |
| type { |
| tensor_type { |
| elem_type: 1 |
| shape { |
| dim { |
| dim_value: 1 |
| } |
| } |
| } |
| } |
| } |
| input { |
| name: "bias" |
| type { |
| tensor_type { |
| elem_type: 1 |
| shape { |
| dim { |
| dim_value: 1 |
| } |
| } |
| } |
| } |
| } |
| node { |
| input: "Input" |
| input: "scale" |
| input: "bias" |
| input: "mean" |
| input: "var" |
| output: "Output" |
| name: "batchNorm" |
| op_type: "BatchNormalization" |
| attribute { |
| name: "epsilon" |
| f: 0.0010000000475 |
| type: 1 |
| } |
| } |
| initializer { |
| dims: 1 |
| data_type: 1 |
| float_data: 5.0 |
| name: "mean" |
| } |
| initializer { |
| dims: 1 |
| data_type: 1 |
| float_data: 2.0 |
| name: "var" |
| } |
| initializer { |
| dims: 1 |
| data_type: 1 |
| float_data: 0.0 |
| name: "bias" |
| } |
| initializer { |
| dims: 1 |
| data_type: 1 |
| float_data: 1.0 |
| name: "scale" |
| } |
| output { |
| name: "Output" |
| type { |
| tensor_type { |
| elem_type: 1 |
| shape { |
| dim { |
| dim_value: 1 |
| } |
| dim { |
| dim_value: 1 |
| } |
| dim { |
| dim_value: 3 |
| } |
| dim { |
| dim_value: 3 |
| } |
| } |
| } |
| } |
| } |
| } |
| opset_import { |
| version: 7 |
| })"; |
| Setup(); |
| } |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(ValidBatchNormalizationTest, BatchNormalizationMainFixture) |
| { |
| RunTest<4>({{"Input", {1, 2, 3, 4, 5, 6, 7, 8, 9}}}, // Input data. |
| {{"Output", {-2.8277204f, -2.12079024f, -1.4138602f, |
| -0.7069301f, 0.0f, 0.7069301f, |
| 1.4138602f, 2.12079024f, 2.8277204f}}}); // Expected output data. |
| } |
| |
| |
| struct BatchNormalizationBisFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> |
| { |
| BatchNormalizationBisFixture() |
| { |
| m_Prototext = R"( |
| ir_version: 3 |
| producer_name: "CNTK" |
| producer_version: "2.5.1" |
| domain: "ai.cntk" |
| model_version: 1 |
| graph { |
| name: "CNTKGraph" |
| input { |
| name: "Input" |
| type { |
| tensor_type { |
| elem_type: 1 |
| shape { |
| dim { |
| dim_value: 1 |
| } |
| dim { |
| dim_value: 2 |
| } |
| dim { |
| dim_value: 1 |
| } |
| dim { |
| dim_value: 3 |
| } |
| } |
| } |
| } |
| } |
| input { |
| name: "mean" |
| type { |
| tensor_type { |
| elem_type: 1 |
| shape { |
| dim { |
| dim_value: 2 |
| } |
| } |
| } |
| } |
| } |
| input { |
| name: "var" |
| type { |
| tensor_type { |
| elem_type: 1 |
| shape { |
| dim { |
| dim_value: 2 |
| } |
| } |
| } |
| } |
| } |
| input { |
| name: "scale" |
| type { |
| tensor_type { |
| elem_type: 1 |
| shape { |
| dim { |
| dim_value: 2 |
| } |
| } |
| } |
| } |
| } |
| input { |
| name: "bias" |
| type { |
| tensor_type { |
| elem_type: 1 |
| shape { |
| dim { |
| dim_value: 2 |
| } |
| } |
| } |
| } |
| } |
| node { |
| input: "Input" |
| input: "scale" |
| input: "bias" |
| input: "mean" |
| input: "var" |
| output: "Output" |
| name: "batchNorm" |
| op_type: "BatchNormalization" |
| attribute { |
| name: "epsilon" |
| f: 0.00001 |
| type: 1 |
| } |
| } |
| initializer { |
| dims: 2 |
| data_type: 1 |
| float_data: 0.0 |
| float_data: 3.0 |
| name: "mean" |
| } |
| initializer { |
| dims: 2 |
| data_type: 1 |
| float_data: 1.0 |
| float_data: 1.5 |
| name: "var" |
| } |
| initializer { |
| dims: 2 |
| data_type: 1 |
| float_data: 0.0 |
| float_data: 1.0 |
| name: "bias" |
| } |
| initializer { |
| dims: 2 |
| data_type: 1 |
| float_data: 1.0 |
| float_data: 1.5 |
| name: "scale" |
| } |
| output { |
| name: "Output" |
| type { |
| tensor_type { |
| elem_type: 1 |
| shape { |
| dim { |
| dim_value: 1 |
| } |
| dim { |
| dim_value: 2 |
| } |
| dim { |
| dim_value: 1 |
| } |
| dim { |
| dim_value: 3 |
| } |
| } |
| } |
| } |
| } |
| } |
| opset_import { |
| version: 7 |
| })"; |
| Setup(); |
| } |
| }; |
| |
| BOOST_FIXTURE_TEST_CASE(ValidBatchNormalizationBisTest, BatchNormalizationBisFixture) |
| { |
| RunTest<4>({{"Input", {-1, 0.0, 1, 2, 3.0, 4.0}}}, // Input data. |
| {{"Output", {-0.999995f, 0.0, 0.999995f, |
| -0.22474074f, 1.0f, 2.2247407f}}}); // Expected output data. |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |