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Diffstat (limited to 'src/armnnOnnxParser/test/LoadScopeDynamicTensor.cpp')
| -rw-r--r-- | src/armnnOnnxParser/test/LoadScopeDynamicTensor.cpp | 184 |
1 files changed, 184 insertions, 0 deletions
diff --git a/src/armnnOnnxParser/test/LoadScopeDynamicTensor.cpp b/src/armnnOnnxParser/test/LoadScopeDynamicTensor.cpp new file mode 100644 index 0000000000..7d29d807af --- /dev/null +++ b/src/armnnOnnxParser/test/LoadScopeDynamicTensor.cpp @@ -0,0 +1,184 @@ +// +// Copyright © 2021 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "armnnOnnxParser/IOnnxParser.hpp" +#include "ParserPrototxtFixture.hpp" + +TEST_SUITE("OnnxParser_LoadScopeDynamicTensor") +{ + +struct DynamicBatchTensorFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> +{ + DynamicBatchTensorFixture() + { + 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: 0 + } + dim { + dim_value: 1 + } + dim { + dim_value: 3 + } + dim { + dim_value: 3 + } + } + } + } + } + input { + name: "Weight" + type { + tensor_type { + elem_type: 1 + shape { + dim { + dim_value: 1 + } + dim { + dim_value: 1 + } + dim { + dim_value: 3 + } + dim { + dim_value: 3 + } + } + } + } + } + initializer { + dims: 1 + dims: 1 + dims: 3 + dims: 3 + data_type: 1 + float_data: 2 + float_data: 1 + float_data: 0 + float_data: 6 + float_data: 2 + float_data: 1 + float_data: 4 + float_data: 1 + float_data: 2 + name: "Weight" + } + node { + input: "Input" + input: "Weight" + output: "Output" + name: "Convolution" + op_type: "Conv" + attribute { + name: "kernel_shape" + ints: 3 + ints: 3 + type: INTS + } + attribute { + name: "strides" + ints: 1 + ints: 1 + type: INTS + } + attribute { + name: "auto_pad" + s: "VALID" + type: STRING + } + attribute { + name: "group" + i: 1 + type: INT + } + attribute { + name: "dilations" + ints: 1 + ints: 1 + type: INTS + } + doc_string: "" + domain: "" + } + output { + name: "Output" + type { + tensor_type { + elem_type: 1 + shape { + dim { + dim_value: 0 + } + dim { + dim_value: 1 + } + dim { + dim_value: 1 + } + dim { + dim_value: 1 + } + } + } + } + } + } + opset_import { + version: 7 + })"; + } +}; + +TEST_CASE_FIXTURE(DynamicBatchTensorFixture, "DynamicBatchTensorTest") +{ + Setup({{"Input", armnn::TensorShape({1, 1, 3, 3})}}); + RunTest<4>({{"Input", {1.0, 2.0, 3.0, + 4.0, 5.0, 6.0, + 7.0, 8.0, 9.0}}}, + {{"Output", {1.0 * 2 + 2.0 * 1 + 3.0 * 0 + + 4.0 * 6 + 5.0 * 2 + 6.0 * 1 + + 7.0 * 4 + 8.0 * 1 + 9.0 * 2}}}); +} + +TEST_CASE_FIXTURE(DynamicBatchTensorFixture, "TensorShapeNotSpecifiedTest") +{ + CHECK_THROWS_AS(Setup(), armnn::ParseException); +} + +TEST_CASE_FIXTURE(DynamicBatchTensorFixture, "IncorrectInputNameTest") +{ + CHECK_THROWS_AS(Setup({{"Incorrect", armnn::TensorShape({1, 1, 3, 3})}}), armnn::ParseException); +} + +TEST_CASE_FIXTURE(DynamicBatchTensorFixture, "IncorrectBatchTensorTest") +{ + Setup({{"Input", armnn::TensorShape({2, 1, 3, 3}) }}); + CHECK_THROWS_AS(RunTest<4>({{"Input", { 1.0, 2.0, 3.0, + 4.0, 5.0, 6.0, + 7.0, 8.0, 9.0 }}}, + {{"Output", {1.0 * 2 + 2.0 * 1 + 3.0 * 0 + + 4.0 * 6 + 5.0 * 2 + 6.0 * 1 + + 7.0 * 4 + 8.0 * 1 + 9.0 * 2 }}}), armnn::Exception); + +} + +} |