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Diffstat (limited to 'src/armnnOnnxParser/test/DepthConv.cpp')
| -rw-r--r-- | src/armnnOnnxParser/test/DepthConv.cpp | 162 |
1 files changed, 162 insertions, 0 deletions
diff --git a/src/armnnOnnxParser/test/DepthConv.cpp b/src/armnnOnnxParser/test/DepthConv.cpp new file mode 100644 index 0000000000..64b0778abc --- /dev/null +++ b/src/armnnOnnxParser/test/DepthConv.cpp @@ -0,0 +1,162 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#include <boost/test/unit_test.hpp> +#include "armnnOnnxParser/IOnnxParser.hpp" +#include "ParserPrototxtFixture.hpp" + +BOOST_AUTO_TEST_SUITE(OnnxParser) + +struct SimpleDepthConv2DFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> +{ + SimpleDepthConv2DFixture() + { + 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: FLOAT + shape { + dim { + dim_value: 1 + } + dim { + dim_value: 3 + } + dim { + dim_value: 2 + } + dim { + dim_value: 2 + } + } + } + } + } + input { + name: "Weight" + type { + tensor_type { + elem_type: FLOAT + shape { + dim { + dim_value: 3 + } + dim { + dim_value: 1 + } + dim { + dim_value: 2 + } + dim { + dim_value: 2 + } + } + } + } + } + initializer { + dims: 3 + dims: 1 + dims: 2 + dims: 2 + data_type: FLOAT + float_data: 1 + float_data: 1 + float_data: 1 + float_data: 1 + float_data: 2 + float_data: 2 + float_data: 2 + float_data: 2 + float_data: 3 + float_data: 3 + float_data: 3 + float_data: 3 + name: "Weight" + } + node { + input: "Input" + input: "Weight" + output: "Output" + name: "Convolution" + op_type: "Conv" + attribute { + name: "kernel_shape" + ints: 2 + ints: 2 + type: INTS + } + attribute { + name: "strides" + ints: 1 + ints: 1 + type: INTS + } + attribute { + name: "auto_pad" + s: "VALID" + type: STRING + } + attribute { + name: "group" + i: 3 + type: INT + } + attribute { + name: "dilations" + ints: 1 + ints: 1 + type: INTS + } + doc_string: "" + domain: "" + } + output { + name: "Output" + type { + tensor_type { + elem_type: FLOAT + shape { + dim { + dim_value: 1 + } + dim { + dim_value: 3 + } + dim { + dim_value: 1 + } + dim { + dim_value: 1 + } + } + } + } + } + } + opset_import { + version: 7 + })"; + Setup(); + } +}; + + +BOOST_FIXTURE_TEST_CASE(ValidDepthConvTest, SimpleDepthConv2DFixture) +{ + RunTest<4>({{"Input", { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}}}, + {{"Output", { 10, 52, 126 }}}); +} + +BOOST_AUTO_TEST_SUITE_END() |